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Learning for learning economy and social learning

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  • Hyysalo, Sampsa

Abstract

Failure to meet the preferences and needs of users has been consistently stressed as a major cause of unsuccessful R&D for over 30 years. Yet little seems to change. An important element in this "producer-user paradox" is a lack of frameworks able to inform empirical research and the work that people do when they bridge designing, implementing, using and managing new technology. "Learning economy" and "social learning in technological innovation" appear promising as such integrative frameworks not least due to their emphasis on learning between producers and users. The present paper examines the value in the way learning is treated in these frameworks for empirical research and for the practitioners, and to this aim contrasts these frameworks to findings from a line of studies on learning between producers and users of new health technologies.

Suggested Citation

  • Hyysalo, Sampsa, 2009. "Learning for learning economy and social learning," Research Policy, Elsevier, vol. 38(5), pages 726-735, June.
  • Handle: RePEc:eee:respol:v:38:y:2009:i:5:p:726-735
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    Cited by:

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    3. Planko & Jacqueline Cramer & Maryse Chappin & Marko Hekkert, 2014. "Strategic collective system building by firms who launch sustainability innovations," Innovation Studies Utrecht (ISU) working paper series 14-04, Utrecht University, Department of Innovation Studies, revised Sep 2014.
    4. Slavo Radosevic & Esin Yoruk, 2012. "SAPPHO Revisited: Factors of Innovation Success in Knowledge-Intensive Enterprises in Central and Eastern Europe," DRUID Working Papers 12-11, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
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    7. Lew, Jia Hui & Marwede, Malte & Herstatt, Cornelius, 2015. "Does cognitive distance affect product development for distant target groups? Evidence from the literature using co-citation methodology," Working Papers 89, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    8. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.

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