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Abstract AI-Helper 아이콘AI-Helper

This paper positions the triple-Helix as a meso-level notion, an epicycle in a grander circle of technological change, institutional change, and psychological change. Because of the differing speeds of these several kinds of change, speed is proposed as a high-level system metric. This implies that ...

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AI 본문요약
AI-Helper 아이콘 AI-Helper

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성능/효과

  • In sum, the difficulties we face in reconciling changes in technology, institutions, and individuals is not dis-engagement, but mis-engagement among governments, people, organizations and products, due to speed differentials (e.g., poor timing), lack of vision, and poor design of information and communication products and programs. This last includes problems stemming from lack of feedback; excess complexity (Linstone and Phillips 2013), leading to slow comprehension and adoption; excess technology push (solutions without problems); excess demand pull (unrealistic expectations), and other factors.

후속연구

  • Further research should combine social science and computer science to find principles of IT design that more quickly lead to engagement that is well-timed, smart, and satisfying for individuals, businesses, government institutions, and technology developers. This should all lead to secure applications in several techno-policy domains (health, energy, etc.
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참고문헌 (20)

  1. H. Aldrich, Organizations Evolving, SAGE Publications, 1999. 

  2. Jose Alberto Sampaio Aranha, "Arrangement of Actors in the Triple Helix Innovation" In D.S. Oh & F. Phillips (Eds), Technopolis: Best Practices for Science and Technology Cities (Springer, 2014) 

  3. Jonathan Bard, Boaz Golany and Fred Phillips, "Bubble Planning and the Mathematics of Con-sortia." Third International Conference on Technology Policy and Innovation, Austin, Texas, September, 1999. 

  4. Frank Bass (1969). "A new product growth model for consumer durables." Management Science 15 (5): p215-227. doi:10.1287/mnsc.15.5.215 

  5. A. Charnes, S. Littlechild and S. Sorensen, "Core-stem Solutions of N-person Essential Games." Socio-Econ. Plan. Sci. Vol. I, pp. 649-660 (1973). 

  6. W.W. Cooper, D.V. Gibson, F. Phillips, S. Thore and A. Whinston (eds), IMPACT: How $IC^2$ Research Affects Public Policy and Business Markets. Kluwer, 1996. 

  7. Wilfred Dolfsma, Loet Leydesdorff "Lock-in and break-out from technological trajectories: Modeling and policy implications," Technological Forecasting & Social Change 76 (7), Sept. 2009, 932-941. 

  8. Larry Downes and Paul Nunes, The Faster a New Technology Takes Off, the Harder It Falls. WIRED. 01.03.14. http://www.wired.com/opinion/2014/01/why-its-time-to-ditch-the-bell-curve/ 

  9. Raghu K. Ganti, Fan Ye, and Hui Lei, Mobile Crowdsensing: Current State and Future Chal-lenges. IBM T. J. Watson Research Center, Hawthorne, NY (undated). https://wiki.engr.illinois.edu/download/attachments/180846616/paper_fanye.pdf?version1 

  10. Dion Hinchcliffe, "Does technology improve employee engagement?" Enterprise Web 2.0, Nov. 5, 2013. http://www.zdnet.com/does-technology-improve-employee-engagement-7000021695/ 

  11. Inga A. Ivanova, Loet Leydesdorff "Rotational symmetry and the transformation of innovation systems in a Triple Helix of university-industry-government relations," Technological Fore-casting & Social Change In Press, Corrected Proof. http://dx.doi.org/10.1016/j.techfore.2013.08.022 

  12. Loet Leydesdorff & Henry Etzkowitz, Emergence of a Triple Helix of University-Industry-Government Relations, Science and Public Policy 23 (1996) 279-86. 

  13. H. Linstone and F. Phillips, "The Simultaneous Localization-Globalization Impact ofInfor-mation/Communication Technology." Technological Forecasting & Social Change, 80(2013), 1438-1443. 

  14. F. Phillips, On S-curves and Tipping Points. Tech. Forecasting & Social Change, 74(6), July 2007, 715-730. 

  15. F. Phillips, The state of technological and social change: Impressions. Technological Forecasting & Social Change. 78(6), July 2011, 1072-1078. 

  16. F. Phillips, S. Alarakhia and P. Limprayoon,"The Triple Helix: International Cases and Critical Summary" In D.S. Oh & F. Phillips (Eds), Technopolis: Best Practices for Science and Technology Cities (Springer, 2014) 

  17. K. Prager, H. Posthumus, Socio-economic factors influencing farmers' adoption of soil conservation practices in Europe. In: Napier TL. Human dimensions of Soil and Water Conservation. Nova Science Publishers. ISBN 978-1-61728-957-6, 2010. 

  18. David Sasaki , Beyond Technology for Transparency, Jan 11, 2013 Omidyar Network, Open Government, http://davidsasaki.name/2013/01/beyond-technology-for-transparency/ 

  19. Alan M. Turing, The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society of London. B 327, 37-72 (1952) 

  20. David Watson, The University. Routledge, 2013. 

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