This paper shows how new forms of electronic products and services such as smart phones, tablet computers and ride sharing become economically feasible and thus candidates for commercialization and creative destruction as improvements in standard electronic components such as microprocessors, memory, and displays occur. Unlike the predominant viewpoint in which commercialization is reached as advances in science facilitate design changes that enable improvements in performance and cost, most new forms of electronic products and services are not invented in a scientific sense and the cost and performance of them are primarily driven by improvements in standard components. They become candidates for commercialization as the cost and performance of standard components reach the levels necessary for the final products and services to have the required levels of performance and cost. This suggests that when managers, policy makers, engineers, and entrepreneurs consider the choice and timing of commercializing new electronic products and services, they should understand the composition of new technologies, the impact of components on a technology's cost, performance and design, and the rates of improvement in the components.
How and When do New Technologies Become Economically FeasibleJeffrey Funk
These slides contrast two processes by which new technologies become economically feasible. Some technologies become economically feasible as advances in science facilitate the creation of new concepts and improvements in the resulting technologies. Other technologies become economically feasible as improvements in electronic components (e.g., Moore's Law), smart phones, and the Internet experience improvements.
MIT's Poor Predictions About TechnologyJeffrey Funk
These slides analyze the 40 predictions of breakthrough technologies that were made betwee 2001 and 2005 by MIT’s Technology Review. Most of them are science-based technologies, and none of the science-based technologies predicted between 2001 and 2005 have markets larger than $10 billion. Among its 40 predictions, only four have markets larger than $10 billion and these technologies have little to do with recent advances in science and instead were enabled by Moore’s Law and improvements in Internet services. MIT also missed many technologies that have achieved market sales greater than $100 billion such as smart phones, cloud computing, and the Internet of Things and other technologies with sales greater than $50 billion such as e-commerce for apparel and tablet computers.
Predicting Breakthrough Technologies: An empirical analysis of past predictio...Jeffrey Funk
These slides empirically analyzes predictions made by MIT’s Technology Review. Technology Review has produced a list of 10 breakthrough technologies for many of the last 10 years (2001, 2002-2014). These predictions are based on conversations with academic experts from a variety of scientific disciplines. To analyze these predictions, I gathered recent market sales data for the predictions done in 2001, 2003, 2004 and 2005. I found that many of these technologies still have small markets (<$1Billion), markets that are smaller than technologies not chosen by Technology Review such as smart phones, Cloud Computing. Tablet Computers. Big Data, Social Networking, and eBooks/eReaders. The slides then use theories of cognition to explain these relatively poor predictions and propose an alternative way of predicting breakthrough technologies
Solow's Computer Paradox and the Impact of AIJeffrey Funk
These slides show why IT has not delivered large improvements in productivity and why new forms of IT like AI will also not deliver large improvements, except in selected sectors. The main reason is that the improvements in AI are over-hyped and because most sectors do not have large inefficiencies in the organization of people, machinery, and materials.
These slides discuss Robert Gordon's recent book, The Rise and Fall of American Growth. He argues that growth was faster between 1870 and 1940 than between 1940 and 2010. Simply put, an American in 1870 would not have recognized life in 1940 but an American in 1940 would recognize life today. These slides discuss what would be needed to change these results and thus make the improvements since 1940 equivalent to those between 1870 and 1940
The Troubled Future of Startups and Innovation: Webinar for London FuturistsJeffrey Funk
These slides show how the most successful startups of today (Unicorns) are not doing as well as the most successful of 20 to 50 years ago. Today's startups are doing worse in terms of time to profitability and time to top 100 market capitalization status. Only one Unicorn founded since 2000 has achieved top 100 market capitalization status while six, nine, and eight from the 70s, 80s, and 90s did so. It is also unlikely that few or any of today's Unicorns will achieve this status because their market capitalizations are too low, share prices increases since IPO are too small, and profits remain elusive. Only 14 of 45 had share price increases greater than the Nasdaq and only 6 of 45 had profits in 2019. The reasons for the worse performance of today's Unicorns than those of 20 to 50 years ago include no breakthrough technologies, hyper-growth strategies, and the targeting of regulated industries. The slides conclude with speculations on why few breakthrough technologies, including science-based technologies from universities are emerging. We need to think back to the division of labor that existed a half a century ago.
What enables improvements in cost and performance to occur?Jeffrey Funk
These slides discuss the design changes that enable improvements in cost and performance to occur. The main types of design changes that lead to improvements are: 1) reductions in scale (e.g., transistors and Moore's Law); 2) creation of new materials; 3) increases in scale (e.g., internal combustion engines, oil tankers, production equipment). Some technologies experience these improvements directly and some indirectly through the impact of components on higher-level systems.
How and When do New Technologies Become Economically FeasibleJeffrey Funk
These slides contrast two processes by which new technologies become economically feasible. Some technologies become economically feasible as advances in science facilitate the creation of new concepts and improvements in the resulting technologies. Other technologies become economically feasible as improvements in electronic components (e.g., Moore's Law), smart phones, and the Internet experience improvements.
MIT's Poor Predictions About TechnologyJeffrey Funk
These slides analyze the 40 predictions of breakthrough technologies that were made betwee 2001 and 2005 by MIT’s Technology Review. Most of them are science-based technologies, and none of the science-based technologies predicted between 2001 and 2005 have markets larger than $10 billion. Among its 40 predictions, only four have markets larger than $10 billion and these technologies have little to do with recent advances in science and instead were enabled by Moore’s Law and improvements in Internet services. MIT also missed many technologies that have achieved market sales greater than $100 billion such as smart phones, cloud computing, and the Internet of Things and other technologies with sales greater than $50 billion such as e-commerce for apparel and tablet computers.
Predicting Breakthrough Technologies: An empirical analysis of past predictio...Jeffrey Funk
These slides empirically analyzes predictions made by MIT’s Technology Review. Technology Review has produced a list of 10 breakthrough technologies for many of the last 10 years (2001, 2002-2014). These predictions are based on conversations with academic experts from a variety of scientific disciplines. To analyze these predictions, I gathered recent market sales data for the predictions done in 2001, 2003, 2004 and 2005. I found that many of these technologies still have small markets (<$1Billion), markets that are smaller than technologies not chosen by Technology Review such as smart phones, Cloud Computing. Tablet Computers. Big Data, Social Networking, and eBooks/eReaders. The slides then use theories of cognition to explain these relatively poor predictions and propose an alternative way of predicting breakthrough technologies
Solow's Computer Paradox and the Impact of AIJeffrey Funk
These slides show why IT has not delivered large improvements in productivity and why new forms of IT like AI will also not deliver large improvements, except in selected sectors. The main reason is that the improvements in AI are over-hyped and because most sectors do not have large inefficiencies in the organization of people, machinery, and materials.
These slides discuss Robert Gordon's recent book, The Rise and Fall of American Growth. He argues that growth was faster between 1870 and 1940 than between 1940 and 2010. Simply put, an American in 1870 would not have recognized life in 1940 but an American in 1940 would recognize life today. These slides discuss what would be needed to change these results and thus make the improvements since 1940 equivalent to those between 1870 and 1940
The Troubled Future of Startups and Innovation: Webinar for London FuturistsJeffrey Funk
These slides show how the most successful startups of today (Unicorns) are not doing as well as the most successful of 20 to 50 years ago. Today's startups are doing worse in terms of time to profitability and time to top 100 market capitalization status. Only one Unicorn founded since 2000 has achieved top 100 market capitalization status while six, nine, and eight from the 70s, 80s, and 90s did so. It is also unlikely that few or any of today's Unicorns will achieve this status because their market capitalizations are too low, share prices increases since IPO are too small, and profits remain elusive. Only 14 of 45 had share price increases greater than the Nasdaq and only 6 of 45 had profits in 2019. The reasons for the worse performance of today's Unicorns than those of 20 to 50 years ago include no breakthrough technologies, hyper-growth strategies, and the targeting of regulated industries. The slides conclude with speculations on why few breakthrough technologies, including science-based technologies from universities are emerging. We need to think back to the division of labor that existed a half a century ago.
What enables improvements in cost and performance to occur?Jeffrey Funk
These slides discuss the design changes that enable improvements in cost and performance to occur. The main types of design changes that lead to improvements are: 1) reductions in scale (e.g., transistors and Moore's Law); 2) creation of new materials; 3) increases in scale (e.g., internal combustion engines, oil tankers, production equipment). Some technologies experience these improvements directly and some indirectly through the impact of components on higher-level systems.
Technology Change, Creative Destruction, and Economic FeasibiltyJeffrey Funk
After showing that the costs of most electronic products are from electronic components, these slides show how the iPhone and iPad became economically feasible through improvements in microprocessors, flash memory, and displays.
What does innovation today tell us about tomorrow?Jeffrey Funk
This paper was published in Issues in Science and Technology. It distinguished between the Silicon Valley and science-based process of technology change. It shows that more new products and services are emerging from the latter than the former.
Analysis of present and future trends for AR (Augmented Reality), with emphasis on impact on markets and society.
Presentation held during ASP Winter School.
Era of the Virtual Office by Adeel QurashiAdeel Qurashi
In the past decade, smartphones have experienced a tremendous growth. Smartphones are gaining their momentum with an expected growth rate of 30% every year up until 2012.
As a result smartphones are changing the way people communicate and conduct businesses. The concept of the virtual office is one the rise, which will dramatically change the perception of work. Work will no longer be someplace you go, but something you do.
The research examined the effects of these developments on the generations that are part of the contemporary workforce, the Baby Boomers, Gen X and Gen Y.
Research found out that Smartphone users are really not that different among each other.
The Complex Futures of Emerging Technologies: Challenges and Opportunities fo...Lic. Riccardo Méndez M.
This paper outlines trends in the development of high-profile new technologies such as nano- and bio-technology, identifying roles foresight and governance practices must play to enable their usage in addressing ‘wicked’ problems (e.g. climate change). We explain the notion of emerging technologies, and their expected convergences, and consider both their potential and issues faced in the Australian context. Recent trends and emerging issues – such as slower, more problematic development and adoption than expected, and increasingly global competition to establish ‘future industries’ – are reviewed to identify a set of imperatives. These imperatives highlight emerging opportunities and challenges, focussing on how examining alternative futures and perspectives may help enable effective responses to emerging technologies.
Sources of Innovative Opportunity and Mass-Customization – An Analysis of ...Mikko Ahonen
A short 15-minutes presentation in the 5th World Conference on Mass Customization & Personalization MCPC2009 in Helsinki, Finland.
The actual research paper can be found at: http://beyondcreativity.blogs.com/mblog/2009/09/masscustomization-mcpc2009-emf-health-business-in-drucker-framework.html
Vibrant Gujarat Summit profile on Disruptive TechnologiesVibrant Gujarat
A Disruptive Technology is a technology or innovation, which is initially a combination of niche technologies or innovative ideas to create a high end product or service, typically such which the existing market does not expect; and when the technology becomes affordable and accessible, it eventually ends up disrupting the existing consumer market and creating a market of its own.
Calit2 – Increasing Interaction Between Industry and University ResearchersLarry Smarr
08.03.31
Presentation
Panel on Best Practices in University-Industry Research Collaborations 2008 Engineering Deans Institute (EDI)
“Strategic University-Industry Partnerships for Innovation”
American Society for Engineering Education
University of California, San Diego
Title: Calit2 – Increasing Interaction Between Industry and University Researchers
La Jolla, CA
Academia-to-Industry Transition of Search and Learning- Based Software Engine...Dr.Bestoun S. Ahmed
"Search and learning-based software engineering is about the exploitation of optimization and machine learning methods for the software engineering domain. The goal is to move the practices in software engineering from the human-based to machine-based problem-solving. Search and learning-based software engineering has been examined, researched, and developed in the last decade in the academia. The research output has shown many useful applications for the industry. However, while the area is promising, less effort has been made to transfer those discovered methods from academia to industry. This talk tries to explain the transition opportunities of search and learning-based software engineering from academia to industry. The talk will present many possibilities for applications."
Rapid Improvements with No Commercial Production: How do the Improvements Occ...Jeffrey Funk
This paper empirically examines 13 technologies in which significant cost and performance improvements occurred even while no commercial production occurred. Since the literature emphasizes cost reductions through increases in cumulative production, this paper explores cost and performance improvements from a new perspective. The results demonstrate that learning in these pre-commercial production cases arises through mechanisms utilized in deliberate R&D efforts. We identity three mechanisms - materials creation, process changes, and reductions in feature scale – that enable these improvements to occur and use them to extend models of learning and invention. These mechanisms can also apply during post commercial time periods and further research is needed to quantify the relative contributions of these three mechanisms and those of production-based learning in a variety of technologies.
IT and Sustainability: New Strategies for Reducing Carbon Emissions and Reso...Jeffrey Funk
This paper describes how rapid rates of improvement in smart phones, telecommunication systems and other forms of IT enable solutions for sustainability and how this provides opportunities for the fields of telecommunication and information systems. While reports from the Intergovernmental Panel on Climate Change focuses on technologies with rates of improvement less than 5% per year, most types of information technologies are experiencing annual rates of improvement that exceed 30% per year. These rapid rates of improvement are changing the economics of many activities of which this paper describes four examples in transportation. The paper concludes by discussing challenges for universities and in particular for the fields of telecommunications and information systems.
3D Television: When will it become economically feasible?Jeffrey Funk
This paper analyzes the timing of a new technology’s economic feasibility using a simple yet novel approach. While the conventional wisdom that costs fall as cumulative production increases does not enable us to analyze this timing, the proposed approach enables us to do so using existing technological trends in the components that form a new technology’s system. For 3D television, although the concepts that form the basis of 3D television have been known for many years, improvements in specific components within two-dimensional (2D) televisions such as the liquid crystal display (LCD) are finally making 3D television economically feasible. More specifically, improvements in the frame-rates of 2D LCDs are making it economically feasible to introduce time sequential 3D, which requires special glasses. Similarly, increases in the number of pixels per area (resolution) will probably make auto-stereoscopic 3D LCDs economically feasible in the next five to ten years and thus eliminate the need for special glasses.
Technology Change, Creative Destruction, and Economic FeasibiltyJeffrey Funk
After showing that the costs of most electronic products are from electronic components, these slides show how the iPhone and iPad became economically feasible through improvements in microprocessors, flash memory, and displays.
What does innovation today tell us about tomorrow?Jeffrey Funk
This paper was published in Issues in Science and Technology. It distinguished between the Silicon Valley and science-based process of technology change. It shows that more new products and services are emerging from the latter than the former.
Analysis of present and future trends for AR (Augmented Reality), with emphasis on impact on markets and society.
Presentation held during ASP Winter School.
Era of the Virtual Office by Adeel QurashiAdeel Qurashi
In the past decade, smartphones have experienced a tremendous growth. Smartphones are gaining their momentum with an expected growth rate of 30% every year up until 2012.
As a result smartphones are changing the way people communicate and conduct businesses. The concept of the virtual office is one the rise, which will dramatically change the perception of work. Work will no longer be someplace you go, but something you do.
The research examined the effects of these developments on the generations that are part of the contemporary workforce, the Baby Boomers, Gen X and Gen Y.
Research found out that Smartphone users are really not that different among each other.
The Complex Futures of Emerging Technologies: Challenges and Opportunities fo...Lic. Riccardo Méndez M.
This paper outlines trends in the development of high-profile new technologies such as nano- and bio-technology, identifying roles foresight and governance practices must play to enable their usage in addressing ‘wicked’ problems (e.g. climate change). We explain the notion of emerging technologies, and their expected convergences, and consider both their potential and issues faced in the Australian context. Recent trends and emerging issues – such as slower, more problematic development and adoption than expected, and increasingly global competition to establish ‘future industries’ – are reviewed to identify a set of imperatives. These imperatives highlight emerging opportunities and challenges, focussing on how examining alternative futures and perspectives may help enable effective responses to emerging technologies.
Sources of Innovative Opportunity and Mass-Customization – An Analysis of ...Mikko Ahonen
A short 15-minutes presentation in the 5th World Conference on Mass Customization & Personalization MCPC2009 in Helsinki, Finland.
The actual research paper can be found at: http://beyondcreativity.blogs.com/mblog/2009/09/masscustomization-mcpc2009-emf-health-business-in-drucker-framework.html
Vibrant Gujarat Summit profile on Disruptive TechnologiesVibrant Gujarat
A Disruptive Technology is a technology or innovation, which is initially a combination of niche technologies or innovative ideas to create a high end product or service, typically such which the existing market does not expect; and when the technology becomes affordable and accessible, it eventually ends up disrupting the existing consumer market and creating a market of its own.
Calit2 – Increasing Interaction Between Industry and University ResearchersLarry Smarr
08.03.31
Presentation
Panel on Best Practices in University-Industry Research Collaborations 2008 Engineering Deans Institute (EDI)
“Strategic University-Industry Partnerships for Innovation”
American Society for Engineering Education
University of California, San Diego
Title: Calit2 – Increasing Interaction Between Industry and University Researchers
La Jolla, CA
Academia-to-Industry Transition of Search and Learning- Based Software Engine...Dr.Bestoun S. Ahmed
"Search and learning-based software engineering is about the exploitation of optimization and machine learning methods for the software engineering domain. The goal is to move the practices in software engineering from the human-based to machine-based problem-solving. Search and learning-based software engineering has been examined, researched, and developed in the last decade in the academia. The research output has shown many useful applications for the industry. However, while the area is promising, less effort has been made to transfer those discovered methods from academia to industry. This talk tries to explain the transition opportunities of search and learning-based software engineering from academia to industry. The talk will present many possibilities for applications."
Rapid Improvements with No Commercial Production: How do the Improvements Occ...Jeffrey Funk
This paper empirically examines 13 technologies in which significant cost and performance improvements occurred even while no commercial production occurred. Since the literature emphasizes cost reductions through increases in cumulative production, this paper explores cost and performance improvements from a new perspective. The results demonstrate that learning in these pre-commercial production cases arises through mechanisms utilized in deliberate R&D efforts. We identity three mechanisms - materials creation, process changes, and reductions in feature scale – that enable these improvements to occur and use them to extend models of learning and invention. These mechanisms can also apply during post commercial time periods and further research is needed to quantify the relative contributions of these three mechanisms and those of production-based learning in a variety of technologies.
IT and Sustainability: New Strategies for Reducing Carbon Emissions and Reso...Jeffrey Funk
This paper describes how rapid rates of improvement in smart phones, telecommunication systems and other forms of IT enable solutions for sustainability and how this provides opportunities for the fields of telecommunication and information systems. While reports from the Intergovernmental Panel on Climate Change focuses on technologies with rates of improvement less than 5% per year, most types of information technologies are experiencing annual rates of improvement that exceed 30% per year. These rapid rates of improvement are changing the economics of many activities of which this paper describes four examples in transportation. The paper concludes by discussing challenges for universities and in particular for the fields of telecommunications and information systems.
3D Television: When will it become economically feasible?Jeffrey Funk
This paper analyzes the timing of a new technology’s economic feasibility using a simple yet novel approach. While the conventional wisdom that costs fall as cumulative production increases does not enable us to analyze this timing, the proposed approach enables us to do so using existing technological trends in the components that form a new technology’s system. For 3D television, although the concepts that form the basis of 3D television have been known for many years, improvements in specific components within two-dimensional (2D) televisions such as the liquid crystal display (LCD) are finally making 3D television economically feasible. More specifically, improvements in the frame-rates of 2D LCDs are making it economically feasible to introduce time sequential 3D, which requires special glasses. Similarly, increases in the number of pixels per area (resolution) will probably make auto-stereoscopic 3D LCDs economically feasible in the next five to ten years and thus eliminate the need for special glasses.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of additive manufacturing/3D printing is experiencing rapid improvements and thus it is becoming economically feasible for many new applications. All 3D printers have benefited from improvement sin microprocessors and sensors, which have enabled better process control. One new and one existing technique and the impact of improvements in electronic components on the performance and cost of additive manufacturing are discussed. First, continuous liquid interface production is a new technique that utilizes a unique design of digital light processing, a deadzone, and an oxygen permeable window. Improvements in the resolution of DLP, a form of MEMS, are occurring as smaller feature sizes are achieved, in the same way that increases in the number of transistors are achieved as transistor gate lengths are reduced. Second, an existing approach, Selective laser sintering, experiences improvements as higher powered lasers emerge. This technique melts metal powder and wires with an Ytterbium fiber laser whose power capabilities continue to be improved. This technique has already enabled GE to reduce the number of parts for an engine nozzle from 18 to 1, the weight by 25%, and the costs by a similar amount. The number of applications for SLA is expected to grow as the technique is improved through the use of higher powered lasers.
3D Bio-Printing; Becoming Economically FeasibleJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze the increasing economic feasibility of bio-printing. Due to a lack of available kidney and other organ donors for organ transplants, 3D printing has emerged as an important alternative for many people. Bioprinting is done by using a computer model of an individual’s body to generate a data set for an organ that can be printed with a 3D printer and grown in a bio-reactor. The falling cost of materials and 3D printers is improving their economic feasibility.
Presentation at Quantified Self 2012.
This talk explains how I track and organized ideas. The second half contains Gephi graphs of ideas. When I figure out how to edit the transcript, I will add what was said during each slide.
Technology change & the rise of new industriesJeffrey Funk
Using an analysis of many existing and emerging industries, this book (to be published by Stanford University Press) shows how one can analyze the timing of new industry formation. It does this by analyzing the improvements in cost and performance that have enabled new technologies to become economically feasible.
Cybernetics and the Pioneers of Computer ArtThomas Dreher
Lecture on "Cybernetics and the Pioneers of Computer Art" (Sprengel Museum Hannover, 16th October 2016):
In German: URL: http://dreher.netzliteratur.net/4_Medienkunst_Kybernetik.html
In English: URL: http://dreher.netzliteratur.net/4_Medienkunst_Kybernetike.html
Neuromorphic circuits are typically used to emulate cortical structures and to explore principles of computation of the brain. But they can also be used to implement convolutional and deep networks. Here we demonstrate a proof of concept, using our latest multi-core and on-line learning reconfigurable spiking neural network chips.
Presentation opens with this video by XVIVO Scientific Animation: https://vimeo.com/32267403
and closed with Jason Silva's the Biological Benefits of Awe: https://vimeo.com/46264514
Talk given by Amy Robinson at Redstone Federal Arsenal on Aug 22, 2012 about how to build a healthy mind. Original slides reformatted with added text to make presentation more slideshare friendly.
By 2014, there were 6.6 billion mobile phone subscriptions in the world, and of those, 2.3 billion had active mobile broadband subscriptions that would enable users to access the mobile web.a Mobile payment systems offered the potential of enabling all of these users to perform financial transactions on their phones, similar to how they would perform those transactions using personal computers. However, in 2015, there was no dominant mobile payment system, and a battle among competing mobile payment mechanisms and standards was unfolding. In the United States, several large players, including Apple, Samsung, and a joint venture called Softcard between Google, AT&T, T-Mobile, and Verizon Wireless, had
developed systems based on Near Field Communication (NFC) chips in smartphones. NFC chips enable communication between a mobile device and a point-of-sale system just by having the devices in close proximity.b The systems being developed by Apple, Samsung, and Softcard transferred the customer’s information wirelessly and then used merchant banks and credit card systems such as Visa or MasterCard to complete the transaction. These systems were thus very much like existing ways of
using credit cards but enabled completion of the purchase without contact.
Understanding consumer's acceptance of technology based innovations in retailingMinor33
La disponibilidad de un gran número de estudios sobre el Modelo de Aceptación de Tecnología (TAM) para predecir la aceptación de los consumidores y el uso de las innovaciones en los puntos de venta motiva redactar el presente.
By 2014, there were 6.6 billion mobile phone subscriptions in the world, and of those, 2.3 billion had active mobile broadband subscriptions that would enable users to access the mobile web.a Mobile payment systems offered the potential of enabling all of these users to perform financial transactions on their phones, similar to how they would perform those transactions using personal computers. However, in 2015, there was no dominant mobile payment system, and a battle among competing mobile payment mechanisms and standards was unfolding. In the United States, several large players, including Apple, Samsung, and a joint venture called Softcard between Google, AT&T, T-Mobile, and Verizon Wireless, had
developed systems based on Near Field Communication (NFC) chips in smartphones. NFC chips enable communication between a mobile device and a point-of-sale system just by having the devices in close proximity.b The systems being developed by Apple, Samsung, and Softcard transferred the customer’s information wirelessly and then used merchant banks and credit card systems such as Visa or MasterCard to complete the transaction. These systems were thus very much like existing ways of
using credit cards but enabled completion of the purchase without contact.
Summary of March 2015 BRIE-ETLA Special Issue in the Journal of Industry, Com...Petri Rouvinen
The Digital Disruption and Its Societal Impacts: Deepening digitalization and globalization has induced an ongoing societal transformation that may ultimately prove to be as significant as the original industrial revolution. Even as the ICT industry is being restructured, global competition is being transformed. Previously dominant firms—including telecommunications carriers, equipment providers, and powerful legacy software firms—are under assault from the move to cloud computing, in the network center, and mobile computing, on the network periphery. This transformation of the computing and communication infrastructure has been occurring simultaneously with the spread of ever more complicated and sophisticated global value chains. The articles in this special issue explore a number of the key facets of this transformation in a comparative lens. The authors find that the social, legal, and economic arrangements will impact how these changes affect nation-states. For policy-makers there will be serious dilemmas, as they will have to simultaneously nurture and support many aspects of these changes, while also mitigating or channeling some of the outcomes so as to protect privacy, income equality, and fair taxation.
Innovation is a productive process which relies on human resources and investment
in capital assets procurement, machinery and/or equipments intended for technological
development and innovation activities. If the production function at the microeconomic
level is the relationship between productive factors and output, capital allocated to ICT
can be taken as another productive factor, in the same way as capital, work and human
capital. The relative ease of access to ICT, due to their fast price reduction and quality
increase, and to the fact that they are considered general purpose technologies, have led
various scholars to propose that ICT, due to their effect on cost reductions of coordination
among individuals and firms, may produce a change in firm structure. Likewise, innovation
also has an effect on productivity, mainly through total factor productivity but also by
interacting with other factors such as capital or human capital. This innovation refers
to technologically new processes and products, either at firm, local, country or global
level. The emphasis on novelty does not mean to make more of the same, but to expand
human knowledge frontier, observing that what is novel may also be applied at firm or
country level. Therefore, when we speak about innovation, we must understand that what
is new for a particular country may not be new at international level.
Standards Battles and Design DominanceFadli Luthfi
2014, there were 6.6 billion mobile phone subscriptions in the world, and of those, 2.3 billion had active mobile broadband subscriptions that would enable users to access the mobile web.a Mobile payment systems offered the potential of enabling all of these users to perform financial transactions on their phones
Similar to Creative destrution, Economic Feasibility, and Creative Destruction: The Case of New Electronic Products and Services (20)
The "Unproductive Bubble:" Unprofitable startups, small markets for new digit...Jeffrey Funk
This article will show that the current bubble has produced few profitable startups and involved few if any new digital technologies, nor technologies involving recent scientific advances, and thus it is unlikely that much that is productive will be left once the dust settles. There is a growth in old technologies such as e-commerce but little in new technologies such as AI. The startup losses are also much larger than in the past suggesting that fewer of today’s startups will still exist in a few years than those of 20 years ago.
Commercialization of Science: What has changed and what can be done to revit...Jeffrey Funk
This paper several changes that I believe may have reduced America’s ability to develop science-based technologies. I make no claims about the completeness. I begin with the growth of university research and then cover several changes it engendered, including an obsession with papers, hyper-specialization of researchers, and huge bureaucracies, also using the words of Nobel Laureates and other scientists to make my points.
2000, 2008, 2022: It is hard to avoid the parallels How Big Will the 2022 S...Jeffrey Funk
These slides summarize the recent share price declines for new startups, declines that are driven by huge annual and cumulative losses and it contrasts today's bubble with those of 2000 and 2008. It shows that today's bubble involves bigger startup losses than those of the 2000 bubble and that the markets of new technologies have not grown to the extent that those of past decades did. Many hedge funds, VCs, and pension funds are heavily invested in these startups. Some of them are also highly leveraged.
The Slow Growth of AI: The State of AI and Its ApplicationsJeffrey Funk
The failure of IBM Watson, disappointments of self-driving vehicles, slow diffusion of medical imaging, small markets for AI software, and scorching criticisms of Google’s research papers provide evidence for hype and disappointment in AI, which is consistent with negative social impact of Big Data and AI algorithms. There are some successes, but they are much smaller than the predictions, with virtual applications (advertising, news, retail sales, finance and e-commerce) having the largest success, building from previous Big Data usage in the past. Looking forward, AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with RPA automating repetitive work, natural language processing summarizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. Big challenges include reductions in training time depending on faster computers, exponentially rising demands on computers for high accuracies in image recognition, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems.
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...Jeffrey Funk
Smaller than expected markets, money-losing startups, failure of Watson, slow-diffusion of self-driving vehicles and medical imaging, and scorching criticisms of Google’s research papers are some of the examples used to characterize the hype of AI. There are some successes, but they are much smaller than the predictions, with advertising, news, and e-commerce having the biggest success stories. Looking forward, #AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with #RPA automating repetitive work, natural language processing categorizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. The big challenges include exponentially rising demands on computers for high accuracies in images, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems. See either this podcast or my slides, whose URL is shown in comments. #technolgy #innovation #venturecapital #ipo #artificialintelligence
Where are the Next Googles and Amazons? They should be here by nowJeffrey Funk
Great startups aren’t being founded like they were in the 1970s (Microsoft, Apple, Oracle, Genentech, Home Depot, EMC), 1980s (Cisco, Dell, Adobe, Qualcomm, Amgen, Gilead Sciences), and 1990s (Amazon, Google, Netflix, Salesforce.com, PayPal). All of these startups reached the top 100 for market capitalization, but Facebook is the only startup founded since 2000 which has entered the top 100. Tesla and Uber are often discussed as highly successful but they have many times higher cumulative losses than did Amazon at its time of peak losses and neither has had a profitable year despite being older than Amazon was when it achieved profits. Furthermore, few of the recent Unicorn IPOs have experienced shareprice increases greater than those of the Nasdaq (14 of 45), only 3 of these 14 have profits, and only six of them have a
market capitalization over $30 (Zoom), $20 (Square), and $10 billion (Twilio, DocuSign, Okta). America’s venture capital system isn’t working as well as it once did, and the coronavirus will make things worse before the VC system gets better.
Start-up losses are mounting and innovation is slowing, but venture capitalists, entrepreneurs, consultants, university researchers, and business schools are hyping new technologies more than ever before. This hype is facilitated by changes in online media, including the rise of social media. This paper describes how the professional incentives of experts and the changes in online media have increased hype and how this hype makes it harder for policy makers, managers, scientists, engineers, professors, and students to understand new technologies and make good decisions. We need less hype and more level-headed economic analysis and this paper describes how this economic analysis can be done. Here is a link to the journal, Issues in Science & Technology: www.issues.org
Irrational Exuberance: A Tech Crash is ComingJeffrey Funk
These slides apply Nobel Laureate Robert Schiller's concept of irrational exuberance (and a book) title to the current speculative bubble of 2019. Over investments in startups and a lack of profitability in them are finally starting to catch up with the venture capital industry and the tech sector that relies on it. Investments by US venture capitalists have risen about six times since 2001 causing the total invested in 2018 to exceed by 40% the peak of 2000, the last big year of the dotcom bubble. But the number of IPOs has never returned to the peak years of 1993 to 2000; only about 250 were carried out between 2015 and 2017 vs. about 1,200 between 1995 and 1997.
The reason is simple: startups are taking longer to go public because they are not profitable. Consider the data. The median time to IPO has risen from 2.8 years in 1998 to 7.7 years in 2016 and the ones going public are less profitable than they were in the past. Although only 22% of startups going public in 1980 were unprofitable, 82% were unprofitable in 2018. The same high percentages of unprofitability have only been achieved twice before, in 1998 and 1999 right before the dotcom bubble burst. Furthermore, startups that have recently done high profile IPOs such as Snap, Dropbox, Blue Apron, Fitbit, Trivago, Box, and Cloudera are still not profitable.
Ride Sharing, Congestion, and the Need for Real SharingJeffrey Funk
Current ride sharing services are not financially sustainable. Although they provide more convenience than do taxi services, they are experiencing massive losses because they have the same cost structure as do taxis and thus must compete through subsidies and lower wages. After all, they use the same vehicles, roads, and drivers, and only GPS algorithms and phones are new.
They also increase congestion. Just as more private vehicles or taxis on the road will increase congestion, more ride sharing vehicles also increase congestion.
These slides describe new ways to use the technologies of ride sharing to reduce congestion along with costs while at the same time keeping travel time low. This can be done through changing public transportation systems or allowing private companies to offer competing services. For instance, current bus services, whether they are private or public, need to use the algorithms, GPS, phones and other technologies of ride sharing to revise routes, schedules and the premises that currently underpin public transportation. There is no reason a bus should be certain size, stop every 200 meters, or follow the same route all day. Algorithms and phones enable new types of routes in which designers simultaneously minimize time travel and maximize number of passengers transported per vehicle.hour.
Using the percent of top managers in IPOs (initial public offering) as a proxy for an industry’s/technology’s scientific intensity, this paper shows that the percentage of IPOs and of venture capital financing for science-based technologies has been declining for decades. Second, the percentage of PhDs among the top managers in science intensive industries is also declining, suggesting that their scientific intensities are falling. Third, the age of these top managers rose during the same period suggesting that the importance of experiential knowledge has increased even as the importance of PhDs and thus educational knowledge has decreased. Fourth, the numbers of IPOs and of venture capital funding are not increasing for newer science-based industries such as superconductors, solar cells, nanotechnology, and GMOs. Fifth, there are extreme diseconomies of scale in the universities that produce the PhD-holding top managers, suggesting that universities are far less effective at doing research than are companies. These results provide a new understanding of science and technology, and they offer new prescriptions for reversing slowing productivity growth.
This paper addresses the types of knowledge that are needed in entrepreneurial firms using a unique data base of executives and directors for all IPOs filed between 1990 and 2010. Using highest educational degrees as a proxy for educational knowledge, it shows that 85% of those with PhDs are concentrated in the life sciences and ICT (information and communication technology) industries and second, that those in the ICT industries are concentrated at lower layers in a “digital stack” of industries, ranging from semiconductors and other electronics at the bottom layer to computing and Internet infrastructure at the middle layer and Internet content, commerce, and services in the top layer. Third, industries with fewer PhDs have more bachelor’s and MBA degrees suggesting that PhDs are being replaced by them and not M.S. degrees. Fourth, age is higher for industries with the most PhDs thus suggesting a greater need for experiential knowledge in industries with greater needs for educational knowledge. Fifth, the number of Nobel Prizes tracks industries with high fractions of PhDs.
beyond patents:scholars of innovation use patenting as an indicator of innova...Jeffrey Funk
This paper discusses the problems with using patents as a measure of innovation and papers as a measure of science. It also uses data to show the problems. for example, the number of patent applications and awards have grown by six times since 1984 while productivity growth has slowed.
These slides discuss how to put context back into learning. Farm and other work at home once provided a context for learning, but this context has become much weaker as work at home as mostly disappeared Students once learned mostly from parents because they worked on farms, fixed things at home, and prepared meals. These activities provided a "context" for school learning, a context that has been mostly lost. These slides discuss how this context can be put back into learning and the implications for the types of people best suited for teaching and the way to train them.
These slides show that the demand for most professions is growing steadily in spite of continued improvements in productivity enhancing tools for them. They also show that AI will have a largely incremental effect on the professions, in combination with Moore's Law, cloud computing, and Big Data. They do this accounting, legal, architects, journalists, and engineers.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
Moore’s Law is slowing, but more importantly the world is changing from PCs to smart phones and cloud computing where improvements continue to occur. Improvements are still occurring in other types of ICs such as wireless, GPUs, and 3D camera chips because they lag microprocessors and parallel processing is easier on them than on microprocessors. Data centers are also experiencing rapid improvements as changes in architecture are made, particularly for analyzing unstructured data, i.e., Big Data. These slides discuss the implications for new services in areas such as smart phones, software, and Big Data. The last one-third of the slides summarize alternatives to silicon and von Neumann.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of biometrics are improving rapidly, making many new applications possible, particularly for fingerprinting in phones. Improvements in cameras and other electronics are making optical, capacitive, and ultrasound sensors better. Improvements in microprocessors are making the matching algorithms operate faster and with higher accuracy. We expect biometrics to become widely used in the next few years beginning with smart phones and followed by automobiles, homes, and offices. Better biometrics in smart phones will promote security and mobile commerce.
Dynamic Pricing: Past, Present, and FutureJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of gas sensors are improving rapidly, making many new applications possible.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of micro-fluidics are improving. Miro-fluidic devices have small micro-channels that analyze many types of fluidics. They can be fabricated from many materials including paper, textiles, and plastics. Plastics are the most recent to emerge and their fabrication relies on many of the same techniques that are used to fabricate integrated circuits. This means that they have been experiencing very rapid improvements as fabrication techniques are improved for ICs and then used to make micro-fluidic MEMS. (micro-mechanical electrical systems). Micro-fluidics are widely used in health care to analyze bacteria in water, glucose in sweat, nitrate contamination in water, and the blood of mosquitoes. Emerging applications include analysis of blood for early cancer detection.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Exploring Patterns of Connection with Social Dreaming
Creative destrution, Economic Feasibility, and Creative Destruction: The Case of New Electronic Products and Services
1. 1
Technology Change, Economic Feasibility and Creative Destruction:
The Case of New Electronic Products and Services
By
Jeffrey L Funk
Forthcoming
INDUSTRIAL AND CORPORATE CHANGE
2. 2
Technology Change, Economic Feasibility and Creative Destruction:
The Case of New Electronic Products and Services
Abstract
This paper shows how new forms of electronic products and services become economically
feasible and thus candidates for commercialization and creative destruction as improvements in
standard electronic components such as microprocessors, memory, and displays occur. Unlike the
predominant viewpoint in which commercialization is reached as advances in science facilitate
design changes that enable improvements in performance and cost, most new forms of electronic
products and services are not invented in a scientific sense and the cost and performance of them
are primarily driven by improvements in standard components. They become candidates for
commercialization as the cost and performance of standard components reach the levels necessary
for the final products and services to have the required levels of performance and cost. This
suggests that when managers, policy makers, engineers, and entrepreneurs consider the choice and
timing of commercializing new electronic products and services, they should understand the
composition of new technologies, the impact of components on a technology’s cost, performance
and design, and the rates of improvement in the components.
3. 3
1. Introduction
Although different terms are used, most economic (Schumpeter, 1934; Rosenberg, 1974,
1982, 1994; Acemoglu and Robinson, 2012), marketing (Chandy and Tellis, 1998), and
management (Christensen, 1997; Adner, 2002) scholars agree that creative destruction is an
essential part of economic and firm growth. Technologies such as steam engines, electricity,
automobiles, aircraft, integrated circuits, computers, and the Internet destroyed an existing order
of firms and created a new one in the form of new products, services, and systems. These new
forms of products, services, and systems, have enabled dramatic improvements in economic
productivity (Solow, 1957) and thus living standards and have created winners and losers at the
individual, firm, and country level (Acemoglu and Robinson, 2012).
But how should firms, entrepreneurs, governments, and universities search for these new
technologies? Where should they look, what should they monitor, and how can managers and
policy makers use this information to “look forward and reason back,” in order to identify
commercially viable technologies and develop good strategies for them (Yoffie and Cusumano,
2015)? These questions suggest a more fundamental question: what is the long-term evolutionary
process (Nelson and Winter, 1982; Ziman, 2000; Murmann, 2004) by which new technologies
become economically feasible and thus candidates for commercialization and creative
destruction? There may be multiple processes depending on a technology’s paradigm (Dosi, 1982)
and thus different types of technologies may have different directions and rates of change, types
of problems to solve, and ways of achieving improvements (Dosi, 1982; Dosi and Nelson, 2010).
The predominant viewpoint is that new technologies proceed through distinct stages of
invention (Arthur, 2007), commercialization, and diffusion (Rogers, 1963) in which advances in
science facilitate design changes that enable improvements in performance and cost (Rosenberg,
1974, 1982, 1994; Balconi et al, 2012). Advances in science – new explanations of natural or
artificial phenomena - play an important role in this process because they facilitate the new product
and process designs that lead to improvements along cost and performance trajectories (Dosi,
4. 4
1982) over the many decades before commercialization occurs (Rosenberg, 1974; Arthur, 2009;
Balconi et al, 2012; Funk and Magee, 2015). Following commercialization and implementation
(Geels, 2002, 2004; Ansari and Garud, 2008), costs continue to fall as diffusion occurs, production
is expanded, and R&D is increased, thus leading to improvements in performance and cost along
an experience curve (Dutton and Thomas, 1984; Lieberman, 1984; Balasubramania and
Lieberman, 2010).
This paper considers important types of products and services for which an alternative process
is more appropriate than is the predominant viewpoint of invention, commercialization, and
diffusion. Most new forms of computers, smart phones and apps, game consoles and content,
Internet services and content, wearable computing, and other electronic products and services,
even when they are considered radical innovations that lead to creative destruction, do not directly
involve advances in science in their overall designs and thus they are not invented in a scientific
sense. Second, anecdotal evidence (Dedrick et al, 2009; Funk, 2013a) suggests that the cost of
most electronic products and services are impacted more by standard components such as
microprocessors, memory, and displays than by assembly costs and thus cumulative production
and experience curves are not useful for analyzing their cost and performance. Third, many of
these standard components have experienced very rapid rates of improvements of greater than
30% per year over the last 50 years (Funk and Magee, 2015).
This paper proceeds as follows. It first surveys the literature on how new technologies
become economically feasible and thus become candidates for commercialization and creative
destruction. Second, the methods of finding and analyzing cost data and characterizing the
improvements in performance and cost of products are summarized. Third, it shows that the costs
of most electronic products primarily depend on the cost of standard components such as
microprocessors, memory, and displays. Fourth, it analyzes two recently introduced electronic
products, the iPhone and the iPad, that have led to creative destructions in hardware and app-based
services. Fifth, using longitudinal data on the iPhone, iPad and their components, it works
5. 5
backwards to understand the process by which they and their associated services became
economically feasible. Sixth, it uses this analysis to propose an evolutionary process by which
electronic products and services become economically feasible.
2. Literature Review
New technologies must provide certain levels of performance and price before they will
become economically feasible and thus candidates for commercialization. This can be graphically
represented with demand and supply curves in Figure 1. For simplification, this figure focuses on
the typical movements of a supply curve over time as a new technology becomes cheaper. In
particular, the price (and thus the cost) of a new technology must fall below a maximum threshold
of price before users will consider purchasing products based on the new technology (see the
arrow in Figure 1). If performance instead of price is plotted on the y-axis, one can also represent
minimum thresholds of performance in Figure 1; the performance of a new technology must
exceed this performance before users will consider purchasing products based on the new
technology (Green and Wind, 1973; Lancaster, 1979; Adner, 2002, 2004; Adner and Zemsky,
2005). Since multiple dimensions of performance are typically relevant for a new technology,
multiple figures can also be used or the multiple dimensions can be combined into a single value
proposition (Chandy and Tellis, 1998), which should be superior to the one for the previous
technology. One can also define minimum levels of performance and maximum levels of price for
each user represented by the demand curve in Figure 1 where each user may have different needs
and willingness to pay partly because they are using the technology for different applications.
But how does a technology reach the point at which performance exceeds the minimum
threshold of performance and at which price falls below the maximum threshold of price for the
early users represented by the demand curve in Figure 1? Answering these questions requires an
understanding of technology paradigms (Dosi, 1982) including the directions and rates of change,
the problems being solved, and the way improvements are being achieved (Dosi, 1982: Dosi and
6. 6
Nelson, 2010). More generally speaking, what is the long-term evolutionary process (Nelson and
Winter, 1982; Ziman, 2000; Murmann, 2004) by which this occurs, and how can managers (and
policy makers) use this information to “look forward and reason back” (Yoffie and Cusumano,
2015) in order to develop good strategies for new technologies, including the timing of the
commercialization.
As noted in the introduction, the predominant viewpoint is that improvements occur as new
technologies proceed through distinct stages of invention (Arthur, 2007), commercialization, and
diffusion (Rogers, 1963) in which advances in science facilitate improvements in the overall
design (Rosenberg, 1974; Arthur, 2009; Balconi et al, 2012), particularly before
commercialization. For example, the creation of new materials that better exploited physical
phenomena (Funk, 2013b) enabled rapid improvements over many decades in the performance
and cost of quantum dot solar cells and displays; organic transistors, solar cells, and displays; and
of quantum computers. Also before commercialization, reductions in the scale of transistors and
memory cells enabled rapid improvements in superconducting Josephson junctions and resistive
RAM (Funk and Magee, 2015). Consistent with other research (Rosenberg, 1974; Dosi, 1982;
Arthur, 2009; Balconi et al, 2012), advances in science facilitated the use of new materials and the
reductions in scale (Funk and Magee, 2015).
The creation and demonstration (i.e., invention) of new concepts is also sometimes facilitated
by advances in science. This is because a new explanation of physical or artificial phenomenon
often forms the basis for a new concept (Arthur, 2007, 2009), sometimes through combinatorial
search and recursion (Fleming, 2001; Fleming and Sorenson, 2001; Arthur, 2007). Thus, although
some old technologies (e.g., the steam engine) were commercialized before most advances in
science occurred, the concepts for more recent technologies were mostly based on advances in
science. In addition to the examples mentioned in the previous paragraph, other examples include
radio (Lewis, 1991), television (Bilby, 1986), semiconductors (Tilton, 1971), lasers, light-emitting
diodes (Orton, 2005); and liquid crystal displays (Castellano, 2005).
7. 7
After a technology is commercialized and implementation problems are solved (Geels, 2002,
2004; Ansari and Garud, 2008), the predominant viewpoint is that another set of dynamics begins
to operate; costs fall as learning is done in factories (Wright 1936; Argote and Epple 1990) and as
R&D spending is increased (Schmookler, 1966; Sinclair et al, 2000). The former is called the
learning curve (Arrow 1962; Thornton and Thompson, 2001) and the latter is called the experience
curve. In the latter, some argue that all of the cost and performance improvements can be explained
in a model linking cumulative production with the improvements (Dutton and Thomas, 1984;
Lieberman, 1984; Balasubramania and Lieberman, 2010) in which changes in the product design
are defined as novel combinations of components (Basalla, 1995; Iansiti, 1995).
Consider automobiles. Improvements in the acceleration of automobiles, the comfort and
safety of the ride, the aesthetics of the interior and exterior, and the durability of the automobile
came from novel combinations of mechanical components at the system level over many decades
(Abernathy and Clark, 1985). These novel designs largely involve unique rather than standard
components. For example, one comprehensive study of 29 new automobile products found that
standard components only represented about 6% of the material costs (Clark and Fujimoto, 1991).
The argument linking cumulative production with improvements in performance and/or cost
is also implicit in Christensen’s (1997) analyses of hard disk drives, computers and other
“disruptive” technologies. Although he plots performance vs. time (and not cumulative
production), his models imply that the introduction and production of a low-end product leads to
increases in R&D spending, the increased R&D spending purportedly leads to rapid improvements
in the low-end product, and these rapid improvements cause the new product to replace the
dominant product.
The literature on general-purpose technologies (David, 1990; Bresnahan and Trajtenberg,
1995; Helpman, 2003; Lipsey et al, 2005; Jovanovic and Rousseau, 2005) suggests an alternative
long-term evolutionary process (Nelson and Winter, 1982; Ziman, 2000; Murmann, 2004) by
which new technologies become economically feasible and thus candidates for commercialization
8. 8
and creative destruction. Many of the recently defined GPTs are electronic components or
electronic products/systems. Examples of the former include integrated circuits (ICs) and lasers
and examples of the latter include computers and the Internet (David, 1990; Bresnahan and
Trajtenberg, 1995; Helpman, 2003; Lipsey et al, 2005). Building from the concept of a GPT, some
papers and books have analyzed the relationship between computers (Nordhaus, 2007), telecom,
the productivity of higher-level systems (Cortada, 2003, 2005), and economic growth (Oliner and
Sichel, 2002; Olner, Sichel and Stiroh, 2007; Jorgensen et al, 2008) where it is recognized that
improvements in standard ICs are the sources of the improvement in computers by computer
scientists (Smith, 1989), economists (Bresnahan and Trajtenberg, 1995), and management
scholars (Baldwin and Clark, 2000; Funk, 2013a, Funk, 2013b). The large impact of ICs on the
performance and cost of electronic products and services suggests these electronic products have
a different type of technology paradigm (Dosi, 1982) than do other products and services.
One reason these ICs and other electronic components are defined as GPTs is because they
have experienced rapid improvements over many decades. For example, the number of transistors
per chip for microprocessors and other ICs, the number of memory bits per dynamic random
access memory (DRAMs) and flash memory, and the number of pixels per camera chip have
doubled every 18 to 24 months for many years, resulting in relatively constant annual rates of
improvement of 30% to 40% per year (Funk and Magee, 2015). Often called Moore’s Law, these
improvements are linked by a common set of product and process design changes that are
facilitated by advances in science. As described in the semiconductor industry’s annual report
(International Technology Roadmap for Semiconductors), there is a common trajectory for many
of these ICs in which reductions in the feature size of transistors, memory cells, and pixels enable
increases in the number of transistors, memory bits, or pixels per chip respectively (ITRS, many
years); this forms the basis for the technology paradigm of ICs (Funk, 2013a).
In summary, these rapid rates of improvements in ICs and other standard electronic
components and the literature on GPTs suggest that some technologies become economically
9. 9
feasible and candidates for commercialization through a long-term evolutionary process (Nelson
and Winter, 1982; Ziman, 2000; Murmann, 2004) that is very different from the predominant
viewpoint of invention, commercialization, and diffusion. The purpose of this paper is to analyze
this long-term process. Can we better understand the levels of performance and cost that are
needed in these components before new types of electronic products and services become
economically feasible? What other factors might impact on these required levels? How can
decision makers use knowledge of these factors and the overall process of technology change to
better search for new types of electronic products and services and commercialize them?
3. Methodology
The first step was to find detailed cost data on electronic products. Such data were found from
iSuppli and TechInsights on 89 products that can be classified as smart phones, tablet computers,
eBook readers, game consoles, MP3 players, large-screen televisions, Internet TVs, and Google
Glasses, for the years 2007 to 2014.Although cost data for other electronic products such as digital
cameras, drones, scanners, 3D printers, and smart watches were also investigated, data in
sufficient detail were not found. For the data that was found, iSuppli and TechInsights publish cost
data, some for clients and some for the public, and the public data includes cost data in various
levels of tabular detail. Some tables provide final assembly costs in addition to the cost of materials,
some tables provide more details on materials than do other tables, and one table provided data on
licensing costs (5% of the first iPhone). Most of the tables often provide information on the name
of the component and the identity of the suppliers in addition to the cost data and component
details. All of the tables also include one or multiple “others” categories in which inexpensive
components are lumped together. It is assumed that each line item (component and final assembly)
also include the cost of logistics, production tooling, and inventory. It is also assumed that the
costs are similar across customers of these standard components, although large customers will
obtain standard components both sooner and for less cost than will other customers.
10. 10
Second, once the data was collected and placed in an excel spreadsheet, components were
defined as standard or non-standard components. Although some scholars might define standard
components as ones with standard interfaces, this paper is more concerned with cost dynamics
than with modular design/vertical disintegration and thus standard components are defined as
components that are used by multiple suppliers of an end-product and/or by multiple end products
from a single supplier. It should be noted that vertical disintegration (Baldwin and Clark, 2000) is
considered a separate (and important) research topic from the one being addressed in this paper.
To better explain the definition of standard components used in this paper, Table 1 shows the
typical data that is available for electronic products, in this case Apple’s iPhone5s. It shows the
costs for 11 categories of materials and for assembly and total cost. It also shows the specifications
for 9 different components, all of which are designed (except for the A7 processor) and
manufactured by firms other than Apple. All of these components are used in other phones or in
the cases of the A7 processor and touch screen, are used in other Apple products such as iPods
and tablet computers. Since the touch screen was unique to the iPhone until the iPad was released
in April 2010, the touch screen and its associated circuity (e.g., touch screen controller) are defined
as non-standard components in the first-generation iPhone and the iPhone 3 but are defined as
standard components in the iPhone5s (See Table 1) and subsequent iPhones. It is important to
recognize that the use of touch screen technologies in the iPhone and other smart phones (very
similar technologies are used) have made touch screen technology a standard component that is
available in a wide variety of electronic products.
Thus, except for the mechanical, electro-mechanical, and box contents, all of the components
in Table 1 can be defined as standard components and thus provide a lower estimate for the cost
of standard components in the Apple iPhone 5s. It is a lower estimate because some of the
mechanical and electro-mechanical components might also be standard components. For example,
in the more detailed cost breakdowns that are available for some of the other products, cost data
is available for passive electronic components such as filters that are used by many phone suppliers.
11. 11
However, these passive components are placed in the “electro-mechanical” or “other” category
for many of the products by iSuppli and TechInsights and thus it is difficult to distinguish between
standard passive components and other components that are unique to the product. This causes
this paper’s analysis to underestimate the contribution of standard components to costs.
The third step in this paper’s analysis was to place the standard components into multiple
categories. The information from iSuppli and TechInsight provided various levels of detail on the
components, their category, and their specifications. These categories were used to identify a set
of component categories that are common to most or all of the nine product types for which data
was collected. For example, returning to Table 1 and beginning with NAND flash and DRAM,
they are defined as one category of memory. This process was repeated for each of the items in
Table 1 and the other 88 products. This process also relied on the author’s knowledge of electronic
components and products both as an engineer early in his career and as a researcher and consultant
on these products over the last 20 years.
Fourth, detailed information were collected on the evolution over time in the iPhone and iPad,
both of which have led to creative destruction in both hardware and app-based services. Both are
radical innovations since they involve large changes in both the concepts and architectures. The
concept of smart phones involves browsing and apps while previous phones involved voice and
texting (Yoffie and Kim, 2010; West and Mace, 2010). The concept of tablet computers involves
touch screen browsing while previous computers involve mouse-based browsing.
Data were collected on the performance measures and how improvements in these measures
are characterized. Which measures of performance are measured and improved? What types of
design changes enabled these improvements and how are they different from the design changes
that enabled improvements in other products such as automobiles (Abernathy and Clark, 1985)?
Apple’s home pages and other sites were investigated and it was found that Wikipedia’s pages on
the iPhone and iPad (probably managed by Apple or by an Apple supporter) are consistent with
Apple’s home pages and provide a good summary of how these products were improved.
12. 12
Fifth, the information on the evolution of the iPhone and iPad were used to better understand
how they first emerged by working backwards in time. As we go back in time, the performance of
the end products and components becomes lower while the prices typically become higher.
Building from others (Green and Wind, 1973; Lancaster, 1979; Funk, 2009, 2013a), what was the
cost/price and performance in both the end product and the components that were needed before
these end products become economically feasible? Since an eco-system of apps are considered an
important part of the iPhone’s success, business model, and strategy (Yoffie and Kim, 2010), what
was the cost/price and performance that was needed in the components before Apple’s app-based
strategy became economically feasible? This also enables us to better understand how and when
specific apps, i.e., new electronic services, became economically feasible, many of which have
valuations greater than $1 billion and as high as $50 billion (e.g., Uber) and thus may lead to
creative destruction (WSJ, 2015). The next section presents the results beginning with the “first
step” discussed above, which is to understand the cost breakdown of electronic products.
4. Results
Table 2 summarizes the average percentage cost representation of final assembly and of
standard components for nine products. This data demonstrates that final assembly represents a
small percentage of costs and that standard components represents a much larger percentage of
costs than does final assembly. Final assembly represents less than 6% of total costs for all of the
nine product types and it is less than 3% for laptop computers, game consoles, televisions, and
Google Glasses. Standard components represent more than 55% of total cost and more than 60%
of material costs for all nine product types. They represent more than 80% of total costs and total
material costs for smart phones, tablet computers, eBook Readers, and televisions.
Some readers might argue that assembly operations once constituted a large percentage of
total costs but that learning in these assembly operations has reduced assembly’s contribution for
total costs to their current low values. Although this might be true for products first introduced
13. 13
decades ago such as laptop computers, game consoles, and small-screen televisions, it is not true
for the newer products in Table 2. Apple’s first iPhone is usually defined as the first successful
Internet-compatible smart phone outside of Japan and Korea and it was introduced in 2007. Tablet
computers and eBook Readers were first introduced in about 2008, large-screen televisions were
introduced a few years earlier, and Internet TVs and Google Glass were introduced much more
recently. The recent introduction of these product types and the fact that the data in Table 2 covers
2007 to 2014 suggest that assembly costs have always represented a small percentage of total costs
and that standard components have always represented a large percentage of total costs.
Table 3 probes deeper. It summarizes the average cost contribution of specific standard
component categories for the nine types of products. All of these categories are mentioned by
iSuppli and TechInsights in their cost breakdowns and this table merely combines some categories
into larger categories. An entry of “None” means that the component is not used in the product
and an entry of “Not Available” means that the component is used in the product but that the data
is not available.
Looking at Table 3 in more detail, we begin with memory and move to the right. SRAM (Static
Random Access Memory), DRAM (Dynamic RAM), and flash memory are used in most or all of
the nine types of products to store audio, graphics, video, and other data while hard disks are used
in just a few products. Microprocessors are used in all of the products to process audio and video
signals. Processors and memory represent the largest percentages of costs in game consoles (77%)
followed by Internet TVs (47%) and smart phones (37%). For smart phones, two different
processors, one for internal processing of music, video, and other applications and one for
interacting with the cellular network, have been used for many years but they have been integrated
into a single chip in some cases (ISCC, 2013). The bills of materials from iSuppli and TechInsight
suggest that more than 90% of smart phones use one of six standard processors from five suppliers
(Travlos, 2012; Peddie, 2014; Kondojjala, 2012), most of which are based on ARM cores.
Displays are used in all of the products except game consoles and Internet TV and displays
14. 14
represent the largest percentage of costs in large screen televisions (76%) followed by tablet
computers (38%) and eBook Readers (42%). Power management modules are in all of the
products and batteries are in all of the products except game consoles and televisions but they
represent a small percentage of final costs in all the products. Cameras are in about half the
products as are connectivity and sensors. The category of “connectivity and sensors” includes a
large variety of standard components that do WiFi, FM radio, GPS, and Bluetooth; these functions
have been integrated into a single chip by many suppliers. Sensors include accelerometers,
gyroscopes and compasses, among others.
The data in Table 3 suggest that a small number of standard components constitute most of the
final cost and thus probably determine the performance of the final products. Economists would
probably call many of the components in Table 3, particularly memory, microprocessors, and
displays, general-purpose technologies. To investigate the effect of standard components on how
and when new forms of electronic products and services become economically feasible, the
evolution of the iPhone and iPad, including smart phone apps are investigated in more detail.
4.1 Smart Phones
Table 4 summarizes the evolution of the iPhone. The first iPhone was introduced in 2007 and
it is a radical innovation since it involved large changes in both the concept and architecture, as
noted above. The concept of smart phones involves browsing and apps while previous phones
involved voice and texting (Yoffie and Kim, 2010). The architecture for the iPhone was also new
and can be defined as a loosely coupled architecture (Yoo et al, 2010). Many of the subsequent
iPhones can also be defined as architectural innovations (Henderson and Clark, 1990), albeit
smaller ones than the first iPhone, because functions were combined into fewer chips, electronic
and mechanical parts were moved around to meet form factor goals, and software was reorganized
to enhance usability and performance.
Table 4 organizes the evolution of the iPhone by component type since this is the way Apple
15. 15
and others characterize the improvements. New versions of the iPhone have more memory, faster
and better processors, higher resolution displays and cameras, faster and higher resolution video
cameras, faster WiFi, and Bluetooth, and new features such as compasses, gyroscopes, voice
recognition, finger-print scanners, and near field communication. More memory increases the
number of songs, pictures, videos, games, and apps that can be stored in a phone. Faster
application and graphics processors enable increased sophistication of applications and of video
and game processing and these faster processors are needed to handle higher resolution displays
and cameras, more sophisticated games and apps, and higher audio and video resolutions (ISSCC,
2013). Newer and faster cellular processors enable compatibility with newer cellular standards
such as 3G and 4G that have faster data speeds (Gonzalez, 2010). The faster and newer WiFi and
Bluetooth chips also enable faster data speeds through compatibility with newer standards (WiFi,
2015) for these technologies. New forms of standard components such as compasses, gyroscopes,
voice recognition, finger-print scanners, and near field communication also provide new features.
The one component in Table 4 that does not show significant improvements is the touch display,
which is an additional layer on a liquid crystal display (LCD).
The importance of these components can also be seen in their impact on the performance of
the iPhone. Although such an analysis can be done for many of the components shown in Table 4
and the tradeoffs that are made among them, flash memory is analyzed since storing music, videos,
games, and particularly apps are important to many users. The first iPhone contained either 4 or
8GB of flash memory so we can hypothesize that 4GB was the minimum amount of flash memory
needed before the iPhone was economically feasible for users. According to various sources
(MacWorld, 2015; Wiki, 2015), 4 GB of memory can store about 760 songs, 4000 pictures (4
megapixel JPEG), four hours of video, or 100 apps/games, or some combination of these songs,
photos, video, and apps/games. Equal usage of them would mean a user could store 190 songs,
1000 pictures, one hour of video, and 25 apps/games in an iPhone with 4GB of flash memory.
An eco-systems of app suppliers is often emphasized in discussions of the iPhone’s success
16. 16
(Yoffie and Kim, 2010) so flash memory’s impact on them is analyzed in further detail. 1.4 billion
apps had been downloaded by the 26 million people who had purchased an iPhone by July 2009
(Moonshadow, 2015). This means that the average user had downloaded 58 apps, thus
representing a significant fraction (58%) of the 4GB iPhone’s memory capacity. Clearly flash
memory capacity had a large impact on when Apple’s app strategy became economically feasible
and could be introduced.
A sensitivity analysis for the impact of flash memory on iPhone costs also illuminates the
importance of flash memory. The cost of the iPhone 5 varied from $207 to $238 depending on
whether the flash memory capacity was 16GB, 32GB, or 64GB. For the earlier phones, the
differences were even larger. For the iPhone 4s, the costs were between $196 and $254 for the
same range in flash memory. For the iPhone 3GS, 16GB of flash memory are $24 thus suggesting
that the costs for the same change in flash memory capacity were between $179 and $251. In
percentage terms, the same changes in flash memory capacity led to an increase of 40% in the
iPhone 3GS and an increase of only 15% in the iPhone 5. Clearly, improvements in flash memory
have had a large impact on iPhone costs and have enabled users to obtain phones with larger
amounts of memory. Similar analyses can be done for many of the other components shown in
Table 4.
Improvements in flash memory, application processors, and in other components also
impacted on the quality and variety of apps, a type of electronic service, some of which have
destroyed an existing economic system and created a new one. As improvements occurred in flash
memory and microprocessors thus enabling increases in the flash memory capacity and processing
speeds of phones, app developers were able to create more sophisticated apps for new and
interesting applications. Ride sharing (e.g., Uber), hotel (e.g., Airbnb), mobile shopping (e.g.,
Flipkart), and picture sharing (e.g., Snapchat) apps began to proliferate as the improvements in
iPhones occurred. All of the startups in parentheses are now valued at more than $15 billion and
more than other 30 startups that offer these apps were valued at more than $1 billion each as of
17. 17
October, 2015 (WSJ, 2015). Although the costs of these apps may not be primarily driven by
standard components as with electronic products, the performance of them were driven by
improvements in phones and the mobile telecommunication systems, and improvements in both
of them were driven by improvements in microprocessors, flash memory, and other electronic
components (Gonzalez, 2010).
One component in the iPhone that is not a standard component is the operating system. Apple
uses its own operating system - iOS - in smart phones, tablet computers, and other products while
Android, which is free from Google, is used by suppliers of other smart phones, tablet computers,
and products. The first versions of these operating systems included the functionality necessary
for the first smart phones to have touch based browsing, which changed the concept of a phone
from voice and texting to touch-based browsing and required a new architecture, one that can be
called a loosely coupled architecture (Yoo et al, 2010). Touch-based browsing required different
linkages between the operating system, touch display, apps, and other components than had
existed in previous phones (McNish and Silcoff, 2015) and thus involved a completely new
architecture. The iOS and the new architecture phone architectural were essential to the success
of the iPhone because they effectively organized the service stack and the user experience around
applications, content and networking (Eaton et al, 2011). Subsequent iPhones can also be
considered architectural innovations, albeit smaller ones than the first iPhone, because there has
been continued changes in the linkages between components: functions have been combined into
fewer chips, electronic and mechanical parts have been moved around to meet form factor goals,
and software, including the operating system and its interface with apps, has been reorganized to
enhance usability.
However, the basic argument of this paper still holds for Apple’s operating system.
Improvements in standard components such as microprocessors and memory enabled this new
form of operating system to become economically feasible. As with all computers, larger and more
sophisticated operating systems require microprocessors that are faster (Maccaba, 2014) and for
18. 18
mobile devices, the microprocessors must also have low power consumption (McNish and Silcoff,
2015). These improvements in performance (and price) came about gradually over time and even
the second and third generation iPhones have much faster browsing and lower power consumption
than did the first one. Interestingly, one reason Blackberry was slow to introduce smart phones
was because Blackberry executives did not think consumers would use phones with browsers as
slow and power consuming as the ones in the first iPhones (McNish and Silcoff, 2015); a problem
that was gradually solved as improvements in microprocessors occurred and portable battery
packs became widely available.
4.2 Tablet Computers
Table 5 summarizes the evolution of the iPad. As with the first iPhone, the first iPad is a radical
innovation since it involved changes in both the concept and architecture, as noted above. The
concept of tablet computers involves touch screen browsing while previous computers involve
mouse-based browsing. The first iPad also involved a new architecture, one that can be defined as
a loosely coupled architecture (Yoo et al, 2010). Subsequent versions can also be considered
architectural innovations (Henderson and Clark, 1990) since like smart phones, functions were
combined into fewer chips, electronic and mechanical parts were moved around to meet form
factor goals, and software was reorganized to enhance usability and performance.
As with the iPhone in Table 4, Table 5 organizes the evolution of the iPad by component type
because this is the wayApple and others characterize the improvements. Also similar to the iPhone,
new versions of the iPad have faster and better components. In fact, the components shown in
Tables 4 and 5 are almost the same; the main differences are in the cellular processors and in the
new components that provide new features. Although improved versions of cellular processors are
available in both the iPhones and iPads, cellular processors are a standard feature in the iPhone
and an option in the iPad. For the new features, the iPad includes an accelerometer, light sensor,
magnetometer, gyroscope and barometer, all made possible through new components.
19. 19
The importance of these components can also be seen in their impact on product capability
and cost. Although such an analysis can be done for many of the components shown in Table 5,
displays, flash memory, and cellular processors are analyzed because these components probably
had the largest impact on when the iPad initially became economically feasible. The display
includes the LCD and touch screen. Although time series data on touch screens are not available,
data for LCDs suggests that their costs fell 12% per year on a per area basis between 2001 and
2011 (prices fell by 30%) and thus the cost of displays for the iPad were probably also dropping,
eventually reaching a point at which the iPad was considered economically feasible to users.
The impact of improvements in flash memory and cellular processors for the iPad are also
easy to understand. The cost of the iPad Air, released in late 2013, varies from $274 to $331
depending on whether the flash memory capacity is 16GB, 32GB, or 64GB and whether a cellular
processor for access to the cellular network is available or not. For the earlier iPads, the differences
are even larger. For the iPad3, the costs range from $316 to $409 for the same range in flash
memory and the addition of a cellular processor. For the first iPad, the costs range from $229 to
$346 for the same changes in flash memory and cellular processor. Thus, the first iPad has a cost
increase of more than 50%, the iPad3 has a cost increase of 30%, and the iPad Air has a cost
increase of 21% for the same increases in flash memory capacity and the addition of a cellular
processor. Therefore, two standard components in the iPad, the flash memory and cellular
processor increased the cost of the first iPad by 50% and this extra cost fell to 21% in the iPad Air
as the cost of these standard components fell.
As with the iPhone, one components in the iPad that is not a standard component is the iPad’s
operating system. The operating system for the iPad was borrowed from the iPhone and it included
the functionality necessary for the first iPad to have touch based browsing; this functionality
changed the concept of a computer from mouse-based to touch-based browsing. It also changed
the architecture of a computer and these architectural changes have continued with subsequent
iPads. However, as with the iPhone, the basic argument of this paper still holds for the iPad.
20. 20
Improvements in standard components such as microprocessors and memory enabled this new
form of operating system to become economically feasible since a sufficiently large and
sophisticated operating system required microprocessors that had sufficiently fast speeds and low
power consumption.
5. Interpretation of Results
The previous section showed that the costs of standard components are much higher than that
of assembly costs for a large variety of electronic products. These standard components are mostly
provided by independent component suppliers and are used in many different types of electronic
products. Although some high cost components were designed and/or manufactured by a supplier
of an electronic product such as Samsung or Apple, in these cases the same components were used
in other end products from the same supplier and/or the same types of products from a different
supplier.
The previous section also showed that the evolution of the iPhone’s and iPad’s performance
are characterized by improvements in standard components. This suggests that not only do
standard components represent a large percentage of total costs, they also greatly contribute to
product performance. Engineers used improvements in components to improve component-based
performance measures for the iPhone and iPad and make changes to their overall design. For the
products investigated in this paper, they used improvements in memory to increase the number of
videos, pictures, songs, games, and apps that can be stored in the products. They used
improvements in microprocessors to create and improve a sophisticated operating system and to
make the device compatible with more sophisticated games, apps, and with new cellular, WiFi,
Bluetooth and other communication standards. They used improvements in displays to provide
better resolution and clarity and they used new forms of components such as GPS, accelerometers,
and compasses to provide new features. This is quite different from the system-based design
changes that were described in the literature review for automobiles (Abernathy and Clark, 1985).
21. 21
What does this tell us about how radical innovations such as the first iPhones and iPads
became economically feasible? While most of us will read Tables 4 and 5 from left to right, reading
from right to left can help us understand how the first smart phones and tablet computers became
economically feasible. A product’s performance must exceed a minimum threshold of
performance and its price must fall below a maximum threshold of price before the product will
diffuse (Green and Wind, 1973; Lancaster, 1979; Adner, 2002, 2004; Adner and Zemsky, 2005).
These thresholds can be inferred from Tables 4 and 5 by reading from right to left and by
considering the probably lower performance and higher cost of these products before they were
released. Furthermore, since components have the largest impact on performance and cost for
smart phones and tablet computers, these thresholds can also be defined for specific components
within smart phones and tablet computers.
Consider smart phones for which many argue that touch screens, apps, and a 3G cellular
connection were necessary before they became popular with users. Specific components are
important for each of these functions. A sufficiently sensitive and inexpensive display was needed
so that browsing could be done through touch. Second, inexpensive memory was needed before
an adequate number of songs, pictures, videos, apps, and games could be saved on a smart phone
and Apple’s eco-system of app suppliers became a feasible strategy; Section 4.1 highlighted the
importance of growing memory capacity and falling costs per memory bit. Third, inexpensive and
fast processors were needed before 3G cellular capability could be placed in the phone; the 3G
connection was needed to have adequate data speeds. For each of these components, one can
calculate minimum and maximum thresholds of performance and price respectively for them that
were needed before the iPhone became economically feasible. Except for the touch screen, rates
of improvement trajectories for these components can also help estimate these thresholds.
Furthermore, since the touch screen grew out of improvements in liquid crystal displays and thin-
film processing, its development could also be analyzed if more data is collected.
A similar type of logic can be applied to tablet computers. The larger size of the display for
22. 22
them suggests that the cost of the liquid crystal and touch screen display was probably more
important for tablet computers than for smart phones and this should be reflected in maximum
and minimum thresholds of price and performance for displays in tablet computers Second,
inexpensive WiFi chips (and perhaps a certain density of WiFi locations) were needed before tablet
computers were purchased. Maximum and minimum thresholds of price and performance
respectively can be defined for the WiFi chips, which are basically a type of microprocessor. For
each of these components, one can calculate minimum and maximum thresholds of performance
and price respectively for them that were needed before the iPhone became economically feasible
and except for the touch screen, rates of improvement trajectories for these components could help
estimate these thresholds.
For both tablet computers and smart phones, the existence of standards also helped them
become economically feasible1
. Although the literature on them usually emphasizes compatibility
and network size (Shapiro and Varian, 1999), their existence also reduced the minimum level of
performance and raised the maximum level of price that were needed in components for the iPhone
and iPad because standards reduced the technical difficulties of the problems that needed to be
solved. For example, the existence of 3G network standards and WiFi standards reduced the
number of network interfaces for which the relevant ICs and software needed to handle. The
existence of standards for maps, video, music, and external memory also reduced the technical
challenges for designers. Without these standards, more complex software and higher performance
components would have been needed before the iPhone and iPad became economically feasible.
6. Discussion
What is the long-term evolutionary process (Nelson and Winter, 1982; Ziman, 2000; Murmann,
2004) by which new technologies, including ones that can be defined as radical innovations,
1
I am indebted to an anonymous reviewer for this insight.
23. 23
become economically feasible and thus candidates for commercialization? This paper found a
process for electronic products and services that is very different from the traditional emphasis on
distinct stages of invention, commercialization, and diffusion. In spite of their large impact on the
world, i.e., creative destruction, the iPhone (and app-based services), iPad, and other new
electronic products were not invented in a scientific sense so the first stage of this process does
not exist. Although some might argue that the commercialization of the iPhone or iPad represents
a form of invention, arguing for simultaneous invention and commercialization does not illuminate
the long-term evolutionary process by which they became economically feasible.
Second, the costs of the iPhone and iPad were not driven by assembly or other “system” costs.
Instead, the costs of the iPhone, iPad, and other electronic products are primarily driven by the
cost of standard components, which are used in a wide variety of electronic products and by
multiple firms. This suggests that learning and experience curves do not explain the cost
reductions for electronic products such as the iPhone and iPad; the observation about learning
curves is consistent with (Thompson, 2012).
The apparent importance of standard components enables one to work backwards to
understand the performance and price that were needed in these components before the radical
innovations of the first iPhones and iPads, including their app-based eco-systems (Yoffie and Kim,
2010), would begin to sell. This analysis and in particular the analysis of flash memory and apps
suggests that the economics of the first iPhones and iPads were highly dependent on the price and
performance of flash memory, microprocessors, displays, and other electronic components. As the
components were improved, the concept of an iPhone and iPad became economically feasible,
they were introduced byApple, and both diffusion and further improvements occurred. Along with
the introduction and diffusion of the iPhone and iPad, a similar set of dynamics enabled better
apps to emerge and diffuse.
This has important implications for firms must “look forward and reason back,” in order to
develop good strategies (Yoffie and Cusumano, 2015). Managers and policy makers must think
24. 24
about the types of products and services that are likely to emerge as improvements in standard
components continue. Then they must think about which ones are the best opportunities for them
and what types of strategies are made possible by the improvements in standard components (e.g.,
app-based strategy). Only after doing these two things does the traditional literature on technology
implementation become useful (Geels, 2002, 2004; Ansari and Garud, 2008).
6.1 Theoretical Contributions
How does this paper’s results advance our understanding for evolutionary theories of
technology change? Three key issues in theories of evolutionary change are combinatorial
learning, recursion (Fleming, 2001; Fleming and Sorenson, 2001; Arthur, 2007, 2009), and variety
creation (Nelson and Winter, 1982; Ziman, 2000; Murmann, 2004), all of which can be subsumed
under the general term, “technology paradigm” (Dosi, 1982; Dosi and Nelson, 2010). For the first
three, while recombinant search among components may be a critical aspect of recursion and
variety creation for many products (Basalla, 1988; Fleming, 2001; Fleming and Sorenson, 2001;
Arthur, 2007), it is probably of less importance when standard components contribute most of the
performance and cost and these components are experiencing rapid improvements.
When standard components are important, the combinatorial learning, recursion and variety
creation revolve around them as engineers conceive of new products that might be made possible
by rapid improvements in standard components. Even when the new products are radical or
architectural innovations, engineers consider the levels of performance and cost in the components
that are needed before the performance and price of possible end products will exceed minimum
thresholds of performance and fall below maximum thresholds of price. As rapid improvements
in electronic components continue, the variety of products and services to consider continues to
grow.
This paper also has implications for recursion and variety creation once an engineer or a firm
has decided to focus on a specific type of product. Once a type of product has been chosen,
25. 25
engineers must think about the value proposition and the customers (Chandy and Tellis, 1998).
They must think about the value proposition that a product can provide with existing components,
whether this value proposition is sufficient for customers, for which customers might this value
proposition be sufficient, and the impact of improved components on the value proposition and
architectural design for the product (Ulrich, 1995; Yoo et al, 2010). These questions are considered
recursively as a product proceeds from conceptual to detailed design and they will continue to be
relevant even after a product is commercialized.
This discussion suggests that electronic products and services have a different type of
technology paradigm (Dosi, 1982; Dosi and Nelson, 2010) from science-based products. While
science strongly impacts on how problems are solved and improvements are achieved for some
products and services, improvements in electronic components have a strong impact on many
aspects of electronic products and services. This include their direction and rates of change, the
types of problems that are solved, the way in which improvements are achieved, and thus the
direction of the entire electronics sector.
Second, electronic products involve multiple standard interfaces often at different layers in an
overall architecture (Baldwin and Clark, 2001) and many of these standards come from a wide
eco-system of firms. Each layer in the architecture (Yoo et al, 2010) involves both competition
between firms and between standards, where each competing standard is often supported by an
eco-system of firms (Adomavicius, 2008). This existence of standards and thus the competition
among them impacts on the levels of performance and price that are needed in standard
components before a new product or service becomes economically feasible. Furthermore, the
competition in the eco-system and the entry of new firms impacts on how these standard
components are assembled into higher-level standard modules and on the development of
complementary technologies such as algorithms and design tools.
6.2 Generalizability
26. 26
How broadly is this paper’s analysis applicable? It is likely that this analysis is applicable to
radical innovations for a wide variety of electronic products including the nine products analyzed
in this paper. It can also probably help engineers analyze new forms of drones, scanners, 3D
printers, smart watches, driverless vehicles, and wearable computing, and applications for the
Internet of things. While mechanical products mostly have mechanical components, adding an
internet connection primarily involves electronic components. This will become economically
feasible when the cost of the components is lower than the value added (performance) of the
components where the value added will probably depend on the product types.
This paper’s analysis can also help find low-end disruptive innovations (Christensen, 1997).
Christensen’s theory implies that all the improvements in new forms of electronic products are
driven by the demand for these new products and that the introduction of the first successful
product is a key event that stimulates R&D in the new product. He has made this argument for
many types of computers, of electronic products including the Walkman (Christensen et al, 2001),
and of hard disk drives (Christensen, 1997). However, the high contribution of microprocessors,
semiconductor memory, hard disk memory, and monitors to the cost of computers and other
electronic products suggests that the improvements in new forms of electronic products have been
primarily driven by improvements in components and thus the impact of demand on the
improvements in the new product have been much less important than is emphasized by
Christensen. Thus, in order to find potential disruptive innovations, this paper’s results suggest
one should look for component technologies that are experiencing rapid improvements and that
enable the emergence of low-end products.
This paper’s results are also applicable to Internet content, services and software (Lyytinen
and Rose, 2003) including the Internet’s telecommunication system, servers, routers and
computers (Funk, 2013a). For example, for e-commerce sites, the cost for users primarily depends
on the cost of the Internet services and the performance of the content (e.g., pictures, videos)
depends on the bandwidth, cost, and latency of the Internet. Improvements in the Internet have
27. 27
enabled music and video services, the greater usage of pictures, videos, and flash content on
websites, and new forms of advertising to emerge (Downes and Nunes, 2014; WebSite, 2015).
Similar arguments can be made for new forms of cloud computing, big data, and software and the
importance of architectures and standards for them. Thus, engineers can use this paper’s
description to look for new types of Internet content, services, and software and future research
should explore this issue further.
7. Conclusions
This paper describes an evolutionary process by which new forms of electronic products and
services become economically feasible that is very different than the predominant viewpoint of
invention, commercialization, and diffusion. The new forms of electronic products and services
are not invented in a scientific sense and the cost and performance of them are primarily driven
by improvements in standard components. Thus, these new products and services initially become
economically feasible as the cost and performance of standard electronic components reach the
levels necessary for the new products and services to become economically feasible. This suggests
that the composition of new technologies, the impact of components on a technology’s cost,
performance and design, and the rates of improvement in the components are important things to
consider when managers, policy makers, and engineers consider the choice and timing of
commercializing new electronic products and services.
29. 29
Table 1. Example of Cost Data Published for Apple iPhone 5s
Cost Element Details Cost of Phone for different
amounts of flash memory
16GB 32GB 64GB
NAND Flash $9.40 $18.80 $29.00
DRAM 1GB LPDDR3 $11.00
Display and Touch
Screen
4” Retina Display w/Touch $41.00
Processor 64-Bit A7 Processor + M7 Co-Processor $19.00
Camera 3MP (1.5 micron)+1.2MP $13.00
Wireless Section-
BB/RF/PA
Quallcom
MDM9615+WTR1605L+Front End
$32.00
User Interface and
Sensors
Includes fingerprint sensor assembly $15.00
WLAN/BT/FM/GPS Murata Dual-Band Wireless-N Module $4.20
Power Management Dialog+Qualcomm $7.50
Battery 3.8V~1560mAh $3.60
Mechanical/Electro-
mechanical
$28.00
Box Contents $7.00
Total Materials $190.70 $200.10 $210.30
Final Assembly $8.00
Total Costs $198.70 $208.10 $218.30
Source: (IHS, 2013)
30. 30
Table 2. Cost Breakdown for Electronic Products for Assembly and Standard Components
Type of
Product
Final Assembly Standard Components1
Number
of Data
Points
Average
cost (%)
Standard
Deviation3
Number
of Data
Points
Average cost2
(%)
Standard
Deviation3
Smart
Phones
28 4.2% 0.011 26, 28 76%, 79% 0.10,
0.10
Tablet
Computers
33 3.1% 0.010 33, 33 81%, 84% 0.033,
0.032
eBook
Readers
6 4.0% 0.0064 6, 9 88%, 88% 0.037,
0.031
Laptop
Computers
3 2.7% 0.0070 Not available
Game
Consoles
2 2.6% 0.0039 2, 2 78%, 80% 0.19,
0.19
MP3
Players
2 3.4% 0.0052 2, 9 74%, 76% 0.0087,
0.081
Large
Screen
Televisions
2 2.4% 0.0057 2, 2 82%, 84% 0.041,
0.038
Internet
TVs
2 5.7% 0.0052 2, 2 57%, 61% 0.067,
0.075
Google
Glass
1 2.7% Not
Applicable
1, 1 62%, 64% Not
Applicable
1 Standard components exclude mechanical components, printed circuit boards, and passive
components
2 Average costs as a percent of total and material costs, figures are separated by commas
3 Standard deviations are in decimal form while averages are in percentages
31. 31
Table 3. Percentage of Standard Components for Products Shown in Table 1
Type of
Product
Number
of Data
Points
Memory Micro-
Processor
Display Camera Connectivity
& Sensors
Battery Power
Management
Smart
Phones
23 15% 22% 22% 8.2% 7.9% 2.3% 3.8%
Tablet
Computers
33 17% 6.6% 38% 2.9% 6.3% 7.3% 2.5%
eBook
Readers
9 10% 8.1% 42% .30% 8.3% 8.3% Not available
Game
Consoles
2 38% 39% none none Not available none 5.8%
MP3
Players
9 53% 9% 6% none Not available 4% 3.5%
Televisions 2 7% 4.0% 76% none Not available none 3.0%
Internet
TVs
2 16% 31% none none 10.5% none 3.5%
Google
Glass
1 17% 18% 3.8% 7.2% 14% 1.5% 4.5%
32. 32
Table 4. Evolution of iPhone in Terms of Measures of Performance
Measure iPhone iPhone 3G iPhone 4 iPhone 5 iPhone 6
Operating System 1.0 2.0 4.0 6.0 8.0
Flash Memory 4, 8, or 16GB 8 or 16GB 8, 16, or 64GB 16, 32 or 64GB 16, 64, or 128GB
DRAM 128MB 128MB 512MB 1GB 1GB
Application
Processor
620MHz Samsung 32-bit RISC
ARM
1 GHz dual-core
ARM Cortex-A9
Apple A5
1.3 GHz dual-core
ARMv7s Apple A6
1.4 GHz dual-core ARM v8-A
65-bit Apple A8, M8 motion
co-processor
Graphics Processor PowerVR MBX Lite 38 (103
MHz)
PowerVR
SGX535 (200
MHz)
PowerVR
SGX543MP3 (tri-
core, 266 MHz)
PowerVR GX6450 (quad-
core)
Cellular Processor GSM/GPRS/
EDGE
Previous plus
UMTS/ HSDPA
3.6Mbps
Previous plus
HSUPA5.76Mbps
Previous plus LTE,
HSPA+, DC-
HSDPA, 14.4Mbps
Previous plus LTE-Advanced,
14.4Mbps
Display resolution 163 ppi 326 ppi 401 ppi
Camera resolution
Video speed
2 MP 5 MP
30 fps at 480p
8 MP
30 fps at 1080p
8 MP
60 fps at 1080p
WiFi 802.11 b/g 802.11 b/g/n 802.11 a/b/g/n 802.11 a/b/g/n/ac
Other Bluetooth 2.0 GPS, compass,
Bluetooth 2.1,
gyroscope
GPS, compass, Blue-
tooth 4.0, gyroscope,
voice recognition
Previous plus finger-print
scanner, near-field
communication
ppi: pixels per inch; mbps: mega bits per second; 480p: progressive scan of 480 vertical lines; MP: mega pixels
33. 33
Table 5. Evolution of iPad in Terms of Measures of Performance
Measure iPad iPad2 iPad3 iPad4 iPad Air iPad Air 2
Operating System 5.1.1 iOS 8
System on Chip Apple A4 Apple A5 Apple A5X Apple A6X Apple A7 Apple A8X
Application Processor 1 GHz ARM Cortex-
A8
1 GHz dual-core ARM
Cortex-A9
1.4 GHz dual-
core Apple Swift
1.4 GHz dual-core
Apple Cyclone
1.5 GHz tri-core
Graphics Processor PowerVR SGX535 Dual-core
PowerVR
SGX543MP2
Quad-core
PowerVR
SGX543MP4
Quad-core
PowerVR
SGX554MP4
Quad-core
PowerVR G6430
Octa-core
PowerVR
GXA6850
Flash Memory 16, 32, or 64 GB 16, 32, 64, or 128 GB 16, 64, 128 GB
DRAM 256 MB 512 MB 1 GB 2GB
Display 132 ppi 264 ppi
Camera resolution, video
speed, digital zoom
None .7 MP, 30fps
5 times
5 MP, 30fps,
5 times
8 MP, 30 fps
3 times
Wireless without cellular Wi-Fi 802.11a/b/g/n; Bluetooth 2.1 Wi-Fi 802.11a/b/g/n; Bluetooth 4.0 802.11a/b/g/n/ac
Bluetooth 4.0
Wireless w/cellular Above plus 2G EDGE, 3G HSDPA Above and left plus LTE
Geolocation without
cellular
WiFi, Apple location database Previous plus
iBeacon
Geolocation with cellular Assisted GPS, Apple databases,
cellular network
Previous plus GLONASS (Russian-based GPS) Previous plus
iBeacon
Other Accelerometer, light
sensor, magnetometer
Previous plus gyroscope Previous plus
barometer
ppi: pixels per inch; MP: mega pixels; fps: frames per second;
34. 34
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