National Innovation Systems is the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies.
National Innovation Systems is the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies.
National Innovation Systems is the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies.
National Innovation Systems is the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies.
National Innovation Systems is the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies.
It includes concepts of Technology Management along with key concepts associated with Technology Management like technology forecasting, technology strategy, technology acquisition, technology audit, technology diffusion, technovation etc.
A Strategic Approach to Open Innovation - Jeffrey Phillips★ Tony Karrer
In this session, Jeffrey Phillips examines the critical questions you should ask as you establish an open innovation framework: which technologies or ideas? Which partners and how many? Which methods? By taking a strategic approach to open innovation, you’ll find the right ideas or partners more effectively, and you’ll accelerate new products to market more quickly.
7 Steps for Open Innovation by @Lindegaard: Grading Your Company’s Open Innov...Stefan Lindegaard
Here you can check out my PowerPoint deck for my new concept:
7 Steps for Open Innovation: Grading Your Company’s Open Innovation Capabilities
The premise is that if your company is not already fully engaged with open innovation efforts, it is way behind. This is evident by looking at the number of companies around the globe that today embrace the use of external partners and input into their innovation efforts.
But even though companies continuously launch new initiatives designed to help them leverage the power of outside knowledge and resources to drive innovation forward, there is a sense within these companies that they can do better and take this new innovation paradigm to an even higher level.
They are also eager to get external perspective to make sure they are maximizing results by using best practices in all aspects of their open innovation efforts.
To help companies with this evaluation, I have developed a seven-step assessment tool that helps them evaluate these key areas:
1. Common Language and Understanding, Motivation, Mandate and Strategic Purpose
2. Assets and Needs
3. Value Pools and Channels
4. Internal Readiness
5. External Readiness
6. New Skills and Mindset
7. Communications Strategy
This assessment tool will help companies identify where they may be falling short in any of these key areas as well as provide ideas and insights on how to make the necessary improvements that will give more power to their open innovation efforts.
This is still work in progress, but you can get an idea of what this is about by checking out my presentation here
It would be great to hear your early feedback on the content itself as well as your thoughts on what I should do with the concept itself. Maybe it would be more valuable for the open innovation community as some kind of an open source project? What do you think?
Impact of change in organizational structure and change in technology on empl...Muhammad Faheem
This study reports on Impact of change in technology & organizational structure on employee performance and role of transformational leadership as moderator.
Sweden - National System of Innovation SummaryTrevor Roald
This presentation summarizes the national system of innovation for Sweden. The presentation was prepared for the Simon Fraser University BUS 750 course. This course was part of the Management of Technology MBA program for 2015.
It includes concepts of Technology Management along with key concepts associated with Technology Management like technology forecasting, technology strategy, technology acquisition, technology audit, technology diffusion, technovation etc.
A Strategic Approach to Open Innovation - Jeffrey Phillips★ Tony Karrer
In this session, Jeffrey Phillips examines the critical questions you should ask as you establish an open innovation framework: which technologies or ideas? Which partners and how many? Which methods? By taking a strategic approach to open innovation, you’ll find the right ideas or partners more effectively, and you’ll accelerate new products to market more quickly.
7 Steps for Open Innovation by @Lindegaard: Grading Your Company’s Open Innov...Stefan Lindegaard
Here you can check out my PowerPoint deck for my new concept:
7 Steps for Open Innovation: Grading Your Company’s Open Innovation Capabilities
The premise is that if your company is not already fully engaged with open innovation efforts, it is way behind. This is evident by looking at the number of companies around the globe that today embrace the use of external partners and input into their innovation efforts.
But even though companies continuously launch new initiatives designed to help them leverage the power of outside knowledge and resources to drive innovation forward, there is a sense within these companies that they can do better and take this new innovation paradigm to an even higher level.
They are also eager to get external perspective to make sure they are maximizing results by using best practices in all aspects of their open innovation efforts.
To help companies with this evaluation, I have developed a seven-step assessment tool that helps them evaluate these key areas:
1. Common Language and Understanding, Motivation, Mandate and Strategic Purpose
2. Assets and Needs
3. Value Pools and Channels
4. Internal Readiness
5. External Readiness
6. New Skills and Mindset
7. Communications Strategy
This assessment tool will help companies identify where they may be falling short in any of these key areas as well as provide ideas and insights on how to make the necessary improvements that will give more power to their open innovation efforts.
This is still work in progress, but you can get an idea of what this is about by checking out my presentation here
It would be great to hear your early feedback on the content itself as well as your thoughts on what I should do with the concept itself. Maybe it would be more valuable for the open innovation community as some kind of an open source project? What do you think?
Impact of change in organizational structure and change in technology on empl...Muhammad Faheem
This study reports on Impact of change in technology & organizational structure on employee performance and role of transformational leadership as moderator.
Sweden - National System of Innovation SummaryTrevor Roald
This presentation summarizes the national system of innovation for Sweden. The presentation was prepared for the Simon Fraser University BUS 750 course. This course was part of the Management of Technology MBA program for 2015.
NZ Rural Broadband - Making Precision Agriculture PossibleLynetteMowlem
IITP Canterbury Branch event held 22 November 2012 - see details in event notice at http://www.iitp.org.nz/events/canterbury/668-NZ_Rural_Broadband_Making_Precision_Agriculture_Possible
A formal innovation strategy can help firms achieve success in new product development. This presentation presents Merle C Crawford's (1980) four innovation strategies and mentions some of the myths associated with each. For more on innovation and innovation management in Asia and beyond, check out http://www.brokenbulbs.com
Thanks a lot!
Conférence lors de la 7e journée de la proximité. Créativité, innovation, proximite organisée par Mosaic HEC et le Groupe Dynamiques de Proximité. www.proxi2012.org.
Types of Inventions; Difference between invention and innovation; Types of innovation; Innovation process vs Process innovation; Linear innovation models.. Technology push model, Market pull model; Flexible innovation process models
Recueil de statistiques mondiales, européennes, françaises et belges sur les différents composants du secteur TIC (2015) - Cours "économie du numérique" - Haute Ecole de la Province de Liège + HEC Ecole de gestion de l'Université de Liège
Where Can Public Policy Play a Role A Comparative Case Study of Regional Inst...iBoP Asia
Where Can Public Policy Play a Role A Comparative Case Study of Regional Institutions and Their Impact on Firm’s Innovation Networks in China and Switzerland
Technological Innovation System - MIT ID InnovationPankaj Deshpande
A technological innovation system explains the rate and quality of technological change. It is a part of the bigger theoretical school, the Innovation system approach.
For more details, visit : https://mitidinnovation.com/recreation/framework-for-technological-innovation-system/
Strategic Management of S&T Information for Innovation PromotionRoberto C. S. Pacheco
The National Innovation System Players (and their needs). Where we came from (regarding ICT)
The ICT Goals: Information Modeling
Methodology and Technological Architecture. Presentation at euroCRIS Members Meeting. 2005 - November. Lisbon
Connecting Information to Strategic Needs
Outcomes: supporting public policies
connecting scientific communities. The Open road:
challenges; opportunities; a new kind of IT professional
Using socially constructed data, parsed from data retrieved from online English-language press releases, network analysis shows patterns of organizational infrastructure. The cultivation approach to global investments into Chinese technology-based companies is contrasted with the harvesting approach of Chinese investments into the rest of the world. Critical implications for board interlocks and flows of information are discussed. Research conducted at Media X at Stanford University, by Martha G. Russell, Neil Rubens, Kaisa Still, Jukka Huhtamaki. Presented at Hong Kong University of Science and Technology, August 2, 2010.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Technology Management - A Complex Adaptive Systems ApproachIan McCarthy
There are systems methods and evolutionary processes that can help organisations understand the innovative patterns and competitive mechanisms that influence the creation, management and exploitation of technology. This paper presents a specific model based on the evolutionary processes of variation, selection, retention and struggle, coupled with fitness landscape theory. This latter concept is a complex adaptive systems theory that has attained recognition as an approach for visually mapping the strategic options an evolving system could pursue. The relevance and utility of fitness landscape theory to the strategic management of technology is explored, and a definition and model of technological fitness provided. The complex adaptive systems perspective adopted by this paper, views organisations as evolving systems that formulate strategies by classifying, selecting, adopting and exploiting various combinations of technological capabilities. A model called the strategy configuration chain is presented to illustrate this strategic process.
Social media-based systems: an emerging area of information systems research ...Nurhazman Abdul Aziz
This article presents a review of the social media-based systems; an emerging
area of information system research, design, and practice shaped by social media phenomenon. Social media-based system (SMS) is the application of a wider range of social software and social media phenomenon in organizational and non-organization context to facilitate every day interactions. To characterize SMS, a total of 274 articles (published during 2003–2011) were analyzed that were classified as computer science information system related in the Web of Science data base and had at least one social media phenomenon related keyword—social media; social network analysis; social network; social network site; and social network system. As a result, we found four main research streams in SMS research dealing with: (1) organizational aspect of SMS, (2) non-organizational aspect of SMS, (3) technical aspect of SMS, and (4) social as a tool. The results indicates that SMS research is fragmented and has not yet found way into the core IS journals, however, it is diverse and interdisciplinary in nature. We also proposed that unlike the
conventional and socio-technical IS where information is bureaucratic, formal, bounded within the intranet, and tightly controlled by organizations; in the SMS context, information is social, informal, boundary-less (i.e. boundary is within the internet), has less control, and more sharing of information may lead to higher value/impact.
Integrated Life Architecture (ILA), a part of Integrated Life Platform (ILP) developed by Thanakrit Lersmethasakul is a holistic life view for a living consisting of Social, Career, Knowledge, Wealth, Self, Spirit and Health (7 dimensions).
Software Defined anything (SDx) is a movement toward promoting a greater role for software systems in controlling different kinds of hardware - more specifically, making software more "in command" of multi-piece hardware systems and allowing for software control of a greater range of devices.
Software Defined Everything (SDx) includes
Software Defined Networks (SDN)
Software Defined Computing (SDC)
Software Defined Storage (SDS)
Software Defined Data Centers (SDDC)
Algorithmic trading, also called automated trading, black-box trading, or algo trading, is the use of electronic platforms for entering trading orders with an algorithm which executes pre-programmed trading instructions accounting for a variety of variables such as timing, price, and volume.
The ease of doing business index is an index created by the World Bank Group. Higher rankings (a low numerical value) indicate better, usually simpler, regulations for businesses and stronger protections of property rights. Empirical research funded by the World Bank to justify their work show that the effect of improving these regulations on economic growth is strong.
Is Enterprise Architecture dominated by the developer who has economic mindset after the Industrial Revolution ?
Is it time to add concept of Customer-centric, Work-life balance, etc to make Enterprise Architecture close to Human-centric ?
2. National Innovation Systems Overview and Country Cases
Stephen Feinson
Center for Science, Policy, and Outcomes (2003).
Definition of National Innovation Systems
“ .. the network of institutions in the public and private sectors whose activities and interactions
initiate, import, modify and diffuse new technologies.” (Freeman, 1987)
“ .. the elements and relationships which interact in the production, diffusion and use of new, and
economically useful, knowledge ... and are either located within or rooted inside the borders of a
nation state.” (Lundvall, 1992)
“... a set of institutions whose interactions determine the innovative performance ... of national firms.”
(Nelson, 1993)
“ .. the national institutions, their incentive structures and their competencies, that determine the rate
and direction of technological learning (or the volume and composition of change generating
activities) in a country.” (Patel and Pavitt, 1994)
“.. that set of distinct institutions which jointly and individually contribute to the development and
diffusion of new technologies and which provides the framework within which governments form and
implement policies to influence the innovation process. As such it is a system of interconnected
institutions to create, store and transfer the knowledge, skills and artefacts which define new
technologies.” (Metcalfe, 1995)
3. National Innovation Systems Overview and Country Cases
Stephen Feinson
Center for Science, Policy, and Outcomes (2003).
4. National Innovation Systems Overview and Country Cases
Stephen Feinson
Center for Science, Policy, and Outcomes (2003).
Activities and functions within NIS for producing, diffusing and
using innovations.
- To create human capital.
- To create and diffuse technological opportunities.
- To create and diffuse products.
- To incubate in order to provide facilities, equipment, and administrative
support.
- To facilitate regulation for technologies, materials, and products that may
enlarge the market and enhance market access.
- To legitimize technology and firms.
- To create markets and diffuse market knowledge.
- To enhance networking.
- To direct technology, market, and partner research.
- To facilitate financing.
- To create a labor market that can be utilized.
5. National Innovation Systems Overview and Country Cases
Stephen Feinson
Center for Science, Policy, and Outcomes (2003).
Actors and linkages in the innovation system
6. National Innovation Systems Overview and Country Cases
Stephen Feinson
Center for Science, Policy, and Outcomes (2003).
7. National Innovation Systems Overview and Country Cases
Stephen Feinson
Center for Science, Policy, and Outcomes (2003).
8. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
- Technological innovation systems and the multi-level framework are closely related
concepts for the study of far-reaching technological change.
- This research tries to combines the strengths of the two approaches and allows
providing a better understanding of radical innovation processes and socio-technical
transformations.
- The multi-level framework conceives technological transitions as interactive processes
of change at the micro-level of niches and the meso-level of socio-technical regimes
both embedded in a broader landscape of factors at the macro-level.
- The analytical focus is the technological systems concept which compare and contrast
with a general conceptualization of innovation systems and sectoral systems of
innovation and production.
- This research interpret both the TS and the SSI concept in a way that they include an
innovation part that creates, diffuses and uses new products (or technologies) and a
production part, which is ‘responsible’ for the established products (or technologies).
9. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
Potential relationship between national (NSI) and sectoral (SSI)
systems of innovation and a technological system (TS).
10. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
11. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
12. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
The multi-level framework explains technological transitions by the interplay of processes
at three different levels … the socio-technical regime, niches and landscape.
13. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
Interrelation between technological systems (TS),
sectoral systems of innovation (SSI) and the multi-level framework
14. Technological innovation systems and the multi-level perspective:
Towards an integrated framework
Jochen Markard, Bernhard Truffer
ScienceDirect, Research Policy 37 (2008).
Technological innovation system and interactions with
the conceptual elements of the multi-level framework.
15. Analyzing the functional dynamics of technological
innovation systems: A scheme of analysis
Anna Bergek, Staffan Jacobsson, Bo Carlsson, Sven Lindmark and Annika Rickne
ScienceDirect, Research Policy 37 (2008).
- This paper presents a scheme of analysis to analyze specific innovation systems in
order to identify key policy issues and set policy goals.
The scheme of analysis (Bergek, et al., 2008).
16. Analyzing the functional dynamics of technological
innovation systems: A scheme of analysis
Anna Bergek, Staffan Jacobsson, Bo Carlsson, Sven Lindmark and Annika Rickne
ScienceDirect, Research Policy 37 (2008).
Inducement and blocking mechanisms as well as policy issues in the case of “IT in home care”
17. Implications of Technology Management and Policy on
the Development of a Sectoral Innovation System:
Lessons Learned Through the Evolution of Thai Automotive Sector
Patarapong Intarakumnerd, Nathasit Gerdsri
International Journal of Innovation and Technology Management, Vol. 11, No. 3 (2014).
There are key elements in a sectoral SSI: Firms in the sector, Other actors,
Networks, Demand, Institution, Knowledge base and Main processes and coevolution.
Potential linkages among key players in supporting
the development of sectoral innovation system.
18. Implications of Technology Management and Policy on
the Development of a Sectoral Innovation System:
Lessons Learned Through the Evolution of Thai Automotive Sector
Patarapong Intarakumnerd, Nathasit Gerdsri
International Journal of Innovation and Technology Management, Vol. 11, No. 3 (2014).
Roles and capabilities of key actors
Structure of sectoral innovation system supporting the automotive industry in Thailand.
19. Implications of Technology Management and Policy on
the Development of a Sectoral Innovation System:
Lessons Learned Through the Evolution of Thai Automotive Sector
Patarapong Intarakumnerd, Nathasit Gerdsri
International Journal of Innovation and Technology Management, Vol. 11, No. 3 (2014).
Roles and capabilities of key actors
1. Key actors
1.1 Carmakers and auto-parts suppliers
Group 1: Automotive Assemblers
18 assemblers (subsidiaries of TNCs or joint ventures)
Group 2: Direct Suppliers or OEM Suppliers (Tier-1)
648 auto-part manufacturers (458 auto-part for car, 190 auto-part
for motorcycle)
Group 3: Indirect Suppliers or Raw Material Suppliers (Tier-2/3)
1641 indirect suppliers (raw material suppliers for the tier-1
suppliers, and subcontractors of the tier-1 suppliers)
1.2 Government: Policy and sector-specific promotion agency
Thailand Automotive Institute (TAI) (operates under the Industry
Development Foundation set up by the Ministry of Industry)
20. Implications of Technology Management and Policy on
the Development of a Sectoral Innovation System:
Lessons Learned Through the Evolution of Thai Automotive Sector
Patarapong Intarakumnerd, Nathasit Gerdsri
International Journal of Innovation and Technology Management, Vol. 11, No. 3 (2014).
Roles and capabilities of key actors
1.3 Universities and research institutes
Universities: Chulalongkorn University, King Mongkut's Institute of
Technology Ladkrabang (KMITL), King Mongkut's University of Technology Thonburi
(KMUTT), King Mongkut's University of Technology North Bangkok (KMUTNB) and
Thai-Nichi Institute of Technology (TNI)
Research institutes: NSTDA
1.4 Private-sector industrial associations and technology promotion agency
Federal Thai Industries (FTI)
- Thai Auto-Parts Manufacturers Association (TAPMA): 528 companies
(from tier-3 to tier-1) on its membership list
- Technology Promotion Association (Thailand-Japan) or TPA
21. Implications of Technology Management and Policy on
the Development of a Sectoral Innovation System:
Lessons Learned Through the Evolution of Thai Automotive Sector
Patarapong Intarakumnerd, Nathasit Gerdsri
International Journal of Innovation and Technology Management, Vol. 11, No. 3 (2014).
Roles and capabilities of key actors
2. Roles of key drivers
2.1 Carmakers and auto-parts suppliers
- Production
- Disseminating technology
2.2 Government
- Policy and promotion
2.3 Universities and research institutes
- Generating basic knowledge
- Providing education
2.4 Associations and promotion agency
- Central voice to protect, support and develop industry
- Promoting knowledge
- Disseminating technology
22. Implications of Technology Management and Policy on
the Development of a Sectoral Innovation System:
Lessons Learned Through the Evolution of Thai Automotive Sector
Patarapong Intarakumnerd, Nathasit Gerdsri
International Journal of Innovation and Technology Management, Vol. 11, No. 3 (2014).
Linkages and interactions
1. Carmakers - Auto-parts suppliers
- Transferring technology
- Technology licensing contract
- ShareholdIng
2. University – Industry
- Curriculum development
- Joint programs
- Student internships
- Co-research projects
3. Firms - Government agencies
- Human resource development