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Knowledge Stocks and Information Flows in New Product Development

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  • Kyriakos Kyriakopoulos
  • Ko De Ruyter

Abstract

Although firms increasingly invest in systems (e.g. ISO, knowledge centres, IT systems) for utilizing stored knowledge and acquiring market information during new product development, few manage to benefit from these investments. To explore this issue, we suggest that firms rely on two distinct types of knowledge stocks– procedural and declarative memory – that affect new product short‐term financial performance and creativity in distinct ways. Additionally, we suggest that internal or external information flows can have distinct moderating impact on the memory types–product outcomes relationship. Our empirical study of product development activities indicates that there is an inverted U‐shaped relationship between procedural memory and product outcomes as well as a positive relationship between declarative memory and financial performance. Also procedural and declarative memory may work in a complementary fashion enhancing both outcomes. Finally, procedural memory is found to reduce the value of internal or external information flows for product creativity. These findings have important implications for the organizational knowledge, capabilities, and product development literatures as well as for practice and they open ways for future research.

Suggested Citation

  • Kyriakos Kyriakopoulos & Ko De Ruyter, 2004. "Knowledge Stocks and Information Flows in New Product Development," Journal of Management Studies, Wiley Blackwell, vol. 41(8), pages 1469-1498, December.
  • Handle: RePEc:bla:jomstd:v:41:y:2004:i:8:p:1469-1498
    DOI: 10.1111/j.1467-6486.2004.00482.x
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    Cited by:

    1. Zhou, Lianxi & Wu, Aiqi, 2014. "Earliness of internationalization and performance outcomes: Exploring the moderating effects of venture age and international commitment," Journal of World Business, Elsevier, vol. 49(1), pages 132-142.
    2. Ye Liu & Ke Zhang & Weili Xue & Ziyu Zhou, 2024. "Crowdfunding innovative but risky new ventures: the importance of less ambiguous tone," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-43, December.
    3. Schmitt, Achim & Klarner, Patricia, 2015. "From snapshot to continuity: A dynamic model of organizational adaptation to environmental changes," Scandinavian Journal of Management, Elsevier, vol. 31(1), pages 3-13.
    4. Diaz Arias, Adriana & van Beers, Cees, 2013. "Energy subsidies, structure of electricity prices and technological change of energy use," Energy Economics, Elsevier, vol. 40(C), pages 495-502.
    5. Kotabe, Masaaki & Jiang, Crystal Xiangwen & Murray, Janet Y., 2011. "Managerial ties, knowledge acquisition, realized absorptive capacity and new product market performance of emerging multinational companies: A case of China," Journal of World Business, Elsevier, vol. 46(2), pages 166-176, April.
    6. Jinhwan Kim & Hyeob Kim & HyukJun Kwon, 2019. "Corporate Social Responsibility Activity Combinations for Sustainability: A Fuzzy Set Analysis of Korean Firms," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    7. Akgün, Ali E. & Keskin, Halit & Byrne, John C. & Lynn, Gary S., 2014. "Antecedents and consequences of organizations' technology sensemaking capability," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 216-231.
    8. Nathalie Lazaric, 2007. "Are Routines Reducible or Mere Cognitive Automatisms? Some contributions from cognitive science to help shed light on change in routines," DRUID Working Papers 07-13, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    9. Ulrich Lichtenthaler & Eckhard Lichtenthaler, 2009. "A Capability‐Based Framework for Open Innovation: Complementing Absorptive Capacity," Journal of Management Studies, Wiley Blackwell, vol. 46(8), pages 1315-1338, December.
    10. Lee, Kyootai & Kim, Youngkyun & Joshi, Kailash, 2017. "Organizational memory and new product development performance: Investigating the role of organizational ambidexterity," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 117-129.
    11. Chang, Dae Ryun & Cho, Hang, 2008. "Organizational memory influences new product success," Journal of Business Research, Elsevier, vol. 61(1), pages 13-23, January.
    12. Wolfgang Sofka & Christoph Grimpe & Ulrich Kaiser, 2022. "Understanding the unwritten rules of the game: Government work experience and salary premiums in foreign MNC subsidiaries," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(6), pages 1110-1132, August.
    13. Bourke, Jane & Roper, Stephen, 2016. "AMT adoption and innovation: An investigation of dynamic and complementary effects," Technovation, Elsevier, vol. 55, pages 42-55.
    14. Pérez-Nordtvedt, Liliana & Babakus, Emin & Kedia, Ben L., 2010. "Learning from international business affiliates: developing resource-based learning capacity through networks and knowledge acquisition," Journal of International Management, Elsevier, vol. 16(3), pages 262-274, September.
    15. Todd Morgan & Sergey Alexander Anokhin & Chanho Song & Natalia Chistyakova, 2019. "The role of customer participation in building new product development speed capabilities in turbulent environments," International Entrepreneurship and Management Journal, Springer, vol. 15(1), pages 119-133, March.
    16. Stéphane Lhuillery & Marion Tellechea & Stéphanie Thiery, 2021. "Open innovation in managerial innovation: the case of internal audit," Working Papers of BETA 2021-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

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