(1) Open innovation has become more important over time due to globalization and dispersion of knowledge sources, but new challenges have emerged that are changing the open innovation model.
(2) Concerns around technology transfer to China and the bifurcation of the global economic system are driving a transition in open innovation, with new rules and agreements between countries and "clubs" likely to emerge.
(3) The open innovation model may split into separate systems for liberal democracies and autocracies, each with different rules, as countries prioritize technological value capture over just value creation.
Slides introducing the Researching Open Innovation PDW at the Academy of Management 2015 conference in Vancouver. Slides by Marcel Bogers, Jonathan Sims and Joel West
Open keynote presented 19 Sept 2013 at workshop “Strategizing open innovation: foundations for new approaches” at the University of Bath, School of Management.
Slides introducing the Researching Open Innovation PDW at the Academy of Management 2015 conference in Vancouver. Slides by Marcel Bogers, Jonathan Sims and Joel West
Open keynote presented 19 Sept 2013 at workshop “Strategizing open innovation: foundations for new approaches” at the University of Bath, School of Management.
Discussant: Innovation Ecosystems (AOM 2014)Joel West
Closing discussant slides for August 4, 2014 session at Academy of Management 2014 entitled “Innovation Ecosystems: Benefits, Challenges, and Structures.” Covers talks by Luigi Marengo, Raymond Miles, Charles Snow and David Teece
Creative Commons Open Business Models, Case Studies, & FindingsPaul_Stacey
Presentation given at Open Education Conference 2015 in Vancouver British Columbia, November 19, 2015.
Description: In March of 2015, with support from the Hewlett Foundation, Creative Commons launched an open business model initiative aimed squarely at showing how Creative Commons licenses can, and are, used by business, nonprofits and governments. This initiative emerged out of a need to show how organizations and creators can produce OER and other Creative Commons licensed works in a way that generates social good in sustainable and financially sound ways.
Creative Commons open business model initiative is being done in an interactive community-based way using an open business model canvas and an online community for sharing and discussion. Creative Commons directly collaborates with organizations using a process that supports both autonomous and collaborative design, development of open business model designs, and ensuing analysis of the results.
In this panel presentation, organizations who worked with Creative Commons to generate an open business model will share their experience. They will describe their motivations, explain how they engaged in the Creative Commons open business model process, outline what they learned, and reveal new opportunities and directions they took as a result.
Creative Commons will describe the tools and processes it used and how those tools and processes evolved and changed through community interaction. Latest versions of tools and process will be compared to starting ones and made available to all participants. Analysis insights from both panel organizations and Creative Commons will be shared.
Creative Commons will outline open business models lessons learned, the types and categories of open business models that emerged, and summarize key findings. Next steps, opportunities for participation and future plans will be described.
Attendees of this session will gain:
- an understanding of the open business model initiative and process
- hands on access to the open business model canvas and other tools they can use to develop their own open business model
- knowledge and insights into how open business models work
- strategies and tactics they can incorporate into their own open business model initiative
- the opportunity to get involved in the initiative in an open and collaborative way
Esteve almirall esade business school innovation policy -digitalsocialeu
Presentation by Esteve Almirall, Esade Business School, on how policy can support digital social innovation (DSI). Presented at February 3rd 2014 DSI workshop in Brussels.
An unusual suspect: the private sector in knowledge brokering in internationa...Sarah Cummings
This presentation was made at the kick off meeting for the SURe research programme on 15 September 2017 in Cape Town by Suzanne Kiwanuka and Sarah Cummings.
Presentation about the E-clic project. ISEI 2012 conference was located in Venice, Italy, and it is published in a book : Titolo: Entrepreneurial strategies and policies for economic growth
Autori: Moreno Muffatto, Paolo Giacon
Editore: libreriauniversitaria.it
Data di Pubblicazione: 2012
ISBN: 8862922663
ISBN-13: 9788862922661
Innovation System and Building its Strategy by Mohammad Ali JaafarMohammad Ali Jaafar
- Innovation
- Innovation Systems & how to make it work.
- Constraints and Framework conditions, 1 and 2
- Building an innovation strategy
- Examples (U.S., European Union, Germany, African Union)
- Conclusions
Discussant: Innovation Ecosystems (AOM 2014)Joel West
Closing discussant slides for August 4, 2014 session at Academy of Management 2014 entitled “Innovation Ecosystems: Benefits, Challenges, and Structures.” Covers talks by Luigi Marengo, Raymond Miles, Charles Snow and David Teece
Creative Commons Open Business Models, Case Studies, & FindingsPaul_Stacey
Presentation given at Open Education Conference 2015 in Vancouver British Columbia, November 19, 2015.
Description: In March of 2015, with support from the Hewlett Foundation, Creative Commons launched an open business model initiative aimed squarely at showing how Creative Commons licenses can, and are, used by business, nonprofits and governments. This initiative emerged out of a need to show how organizations and creators can produce OER and other Creative Commons licensed works in a way that generates social good in sustainable and financially sound ways.
Creative Commons open business model initiative is being done in an interactive community-based way using an open business model canvas and an online community for sharing and discussion. Creative Commons directly collaborates with organizations using a process that supports both autonomous and collaborative design, development of open business model designs, and ensuing analysis of the results.
In this panel presentation, organizations who worked with Creative Commons to generate an open business model will share their experience. They will describe their motivations, explain how they engaged in the Creative Commons open business model process, outline what they learned, and reveal new opportunities and directions they took as a result.
Creative Commons will describe the tools and processes it used and how those tools and processes evolved and changed through community interaction. Latest versions of tools and process will be compared to starting ones and made available to all participants. Analysis insights from both panel organizations and Creative Commons will be shared.
Creative Commons will outline open business models lessons learned, the types and categories of open business models that emerged, and summarize key findings. Next steps, opportunities for participation and future plans will be described.
Attendees of this session will gain:
- an understanding of the open business model initiative and process
- hands on access to the open business model canvas and other tools they can use to develop their own open business model
- knowledge and insights into how open business models work
- strategies and tactics they can incorporate into their own open business model initiative
- the opportunity to get involved in the initiative in an open and collaborative way
Esteve almirall esade business school innovation policy -digitalsocialeu
Presentation by Esteve Almirall, Esade Business School, on how policy can support digital social innovation (DSI). Presented at February 3rd 2014 DSI workshop in Brussels.
An unusual suspect: the private sector in knowledge brokering in internationa...Sarah Cummings
This presentation was made at the kick off meeting for the SURe research programme on 15 September 2017 in Cape Town by Suzanne Kiwanuka and Sarah Cummings.
Presentation about the E-clic project. ISEI 2012 conference was located in Venice, Italy, and it is published in a book : Titolo: Entrepreneurial strategies and policies for economic growth
Autori: Moreno Muffatto, Paolo Giacon
Editore: libreriauniversitaria.it
Data di Pubblicazione: 2012
ISBN: 8862922663
ISBN-13: 9788862922661
Innovation System and Building its Strategy by Mohammad Ali JaafarMohammad Ali Jaafar
- Innovation
- Innovation Systems & how to make it work.
- Constraints and Framework conditions, 1 and 2
- Building an innovation strategy
- Examples (U.S., European Union, Germany, African Union)
- Conclusions
Open Knowledge Regime for an Innovation Economy. MyGOSSCON 2008. Dr. Jaijit Bhattacharya
Country Director, Government Strategy,
SUN Microsystems Malaysia
Promoting collaborative RD networks in morocco some elements for thoughtIlyas Azzioui
this presentation highlights some aspects related to innovation systems in development countries, dominant values and some prevalent misconceptions that should be taken into consideration when building a collaborative R&D Network in a developing country like Morocco.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Climate Impact of Software Testing at Nordic Testing Days
The Changing Faces of Open Innovation
1. The Changing Faces of
Open Innovation
Professor David J. Teece
Thomas W. Tusher Professor in Global Business
Haas School of Business, University of California, Berkeley
Open Innovation Seminar (OIS)
November 16, 2020
1
2. Open Innovation (OI)
“The use of purposive inflows and outflows of
knowledge to accelerate internal innovation, and
expand the markets for external use of innovation,
respectively.”
Henry Chesbrough et al,
2
Henry Chesbrough
3. 3
An early view of the open
innovation imperative
provided a contingent
framework* that
recognized:
i. Diversity in the
sources of know-
how, differences in
appropriability
regimes and
ii. Transactions and
transfer costs
*See G. Pisano & D.Teece, “Collaboration Arrangements & Global Technology Strategy”, in R. Rosenbloom & R. Burgelman, Research on
technology Innovation, Management Policy & JAI Press, vol 4, 1989).
4. Why the enhanced imperative for OI?
• Post 1960 global dispersion in the sources of knowledge
• Greater global competition… need for greater speed in new product
development
• Digital Convergence… which is requiring greater connectedness and
platform engagement
• Stronger IP rights in the 1980’s strengthened the market for know-how
• Decline in in-house R&D spending because of shareholder activism and
short-term focus (traders and raiders play too big a role in US Capital
markets)
4
5. a) Timely access to domain and technology expertise is critical to firm level
competitiveness
b) Active engagement by practically all firms in sensing/outsourcing of technology is
now required
c) Scouting/sensing tools need to be developed
d) Seizing/orchestration/integrating skills are now paramount
5
So fundamental were these developments that
open innovation has become qualitatively and
quantitatively different from pre-1980’s
Open innovation… requires new management approaches &
deep (systems) capabilities in
technology “integration”
6. Open innovation is a handmaiden of dynamic
capabilities
…and dynamic capabilities is also a handmaiden of open innovation!
6
Dynamic Capabilities
Sensing Seizing Transforming
Open
Innovation
PFI/Open
Innovation
7. Who Profits from Open Innovation?
• Adner’s “Wider Lens”* is most insightful and outlines the importance of
“lining up all the ducks” to achieve commercial success
• Understanding Adner’s “Wider Lens” requires OI, PFI, and Dynamic
Capabilities.
7
Ron Adner, Dartmouth
Ron Adner, “Wider Lens”, Penguin Books, (2012).
8. The PFI/open innovation (Teece) proposition:
The major prize might also go to the party that puts down the first
piece. It depends on whether or not the “piece” is the bottleneck.
The scarcity of the underlying resource has much to do with the
answer (e.g. is it is protected by intellectual property?)
8
*Adner interview in Brian Leavy’s, “Ron Adner: managing the interdependencies and risks of an innovation ecosystem”, Strategy and
Leadership, (2012).
Adner proposition:
“The major prize was destined to go, not to the party that puts
down the first piece of the puzzle, but the one that puts down the
final piece.”*
Contrasting perspectives?
9. Sensing and Seizing are critical activities for
successful OI
• For those companies that embrace open innovation either partially or fully, the
greatest challenge is being able to identify what is available in the market for sale or
licensing and then evaluating it in terms of its fit to their product strategy.
• Where it is needed, intermediaries are becoming established to join the two together
and provide a set of services around channeling innovations towards companies
whose business structure is based on open innovation. Markets are rapidly changing.
• It can be a long process from ideas to profit and doing all of the innovation
in-house is limiting.
9
The overriding aim will be to get a progressively better return from
R&D/technology spend. It will not matter whether the approach taken is
closed, open or some combination of both
10. The perversion of Open Innovation?
Does China systematically pry technology from
foreign companies?
“The combination of naiveté and hubris on the part of U.S. companies seeking to enter
the Chinese market, coupled with a sophisticated Chinese effort to extract technology
has been a lethal combination.”
Peter Navarro
Wall Street Journal
September 26, 2018
10
These concerns are propelling “decoupling” and the bifurcation of global systems…such
developments hinder open innovation
11. • China has allegedly engaged in a technology coercion by:
• Denying open access to the home market (contingent on technology transfer by prospective
entrants from abroad)
• Using the regulatory process as a subterfuge to access technology from foreign firms. (e.g.,
antitrust investigations and documents raids designed to scoop up and disseminate trade
secrets)
• Making unwillingness to license IP to Chinese competitors an antitrust violation.
• Discriminating application of IP law in China (against foreign firms)
• The US and some other nation states are beginning to decouple and question
certain elements of certain versions of the open innovation framework.
11
12. •The open innovation model is once again in major
transition.
•The bifurcation of the global economic system is the
major factor driving change.
12
The Open Innovation Predicament Today (2020)
13. “Since the origins of technical and social innovations
have never been confined to the borders of any one
nation, the economic growth of all countries depends
to some degree on the successful application of a
transnational stock of knowledge”
(Teece, 1977, paraphrasing Kuznets, 1966)
13
Simon Kuznets understood the importance of
knowledge transfer to all nations
14. Knowledge flows (tech transfer) have been at the core of
globalization… but have hitherto been underemphasized
in global economic relations
• Technology flows, not goods and financial flows, are at the strategic core
of international commerce and enterprise competitiveness.
• Global (open) innovation “supply” chains permeate innovation
ecosystems.
• Yet most discussions of international commerce and international
business wrongly prioritize physical and financial flows
14
15. Global economic governance has failed because:
• Existing international rules focus on physical and financial
flows when knowledge and intangibles are key.
• Chinese companies doesn’t accept existing free and fair trade
rules that govern the open global system. Some
commentators believe that the CCP turns companies in
strategic sectors into economic predators.
Prediction: The post 2020 semi-global (perhaps bifurcated)
economic order will prioritize technological value capture
over value creation
15
16. OBSERVATIONS:
(1) New bilateral and multilateral agreements are needed
to reduce tensions and create new innovation alliances
amongst the liberal democracies.
(2) Future sovereign to sovereign “trade and investment”
agreements are likely to govern/regulate, and promote
R&D activities and knowledge exchanges involving
corporations, governments, and universities.
(3) New regulations/governance arrangements will shape
the nature and practice of open innovation.
16
17. Corporations will need to pick their
technology “clubs”
• Each “club” will have agreed upon “open” innovation rules
• There are scores of existing “clubs” e.g., NATO, OECD, EU, NAFTA that will be
setting their own rules for “open” innovation
• These “clubs” will become increasingly strategic over time
• Different “clubs” are likely for different missions e.g.,
Global Warming
6G
AI
Pandemics/epidemiology
Data Security
• Higher education will not be as open as it has been in the past
• Basic science will still remain quite open
17
18. Conclusions
• The open innovation model will bifurcate into at least two communities
• Liberal democracies
• Autocracies
• Other?
• It is not just military technology that is at issue; “dual use” as well as
economic development considerations will lead to mission-specific “clubs”
with different rules.
• Future rules of openness will be heavily regulated and shaped by
geopolitical considerations.
18
Mission 1 Mission 2 Mission 3 Mission 4 Mission 5 Mission 6 Mission 7 Mission 8 Mission 9 Mission 10
Liberal
Democracies
Autocracies
19. Conclusions cont.
• The open innovation model we once knew depended on
the US-led “rule of law” reciprocal system which is now
collapsing.
• Open innovation isn’t dead; it is going through a
metamorphosis.
• We have an opportunity to shape what emerges.
19