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Research PaperNo Access

Knowledge Pathways and Performance: An Empirical Study of the National Laboratories in a Technology Latecomer Country

    https://doi.org/10.1142/S021987701950024XCited by:3
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    Abstract

    A broadly based, quantitative, empirical study of 208 R&D projects within the national laboratories (NLs) of a technology latecomer country (TLC) finds that the performance of R&D projects within the NLs of that TLC is highly dependent on the pathway by which knowledge enters the R&D project group that delivers the project or on how it is created therein. Performance also depends upon the mission of the NLs with which the project is aligned. These findings suggest that managers of R&D project groups within the NLs in this TLC can take a nuanced approach to organizational learning. They can improve the performance of individual R&D projects by emphasizing the knowledge pathways that have the greatest positive impact on the mission that is most important to the project. The study’s findings also provide theoretical insights that go beyond the context of NLs in TLCs. They explain why vicarious learning cannot be associated positively with team performance, and they suggest that contextual learning is positively correlated to team performance under specific circumstances, only. Moreover, the findings imply that extant theory on organizational learning is insufficiently granular to explain the apparently complex relationship between group knowledge and group performance.

    References

    • Adler, P. S. and Clark, K. B. [1991] Behind the learning curve: A sketch of the learning process. Management Science, 37, 3: 267–281. Crossref, Google Scholar
    • Aiken, L. S. and West, S. G. [1991] Multiple Regression: Testing and Interpreting Interactions. Sage Publications, Newbury Park, CA, USA. Google Scholar
    • Allen, T. J. [1971] Communications, technology transfer, and the role of technical gatekeeper. R&D Management, 1, 1: 14–21. Crossref, Google Scholar
    • Almeida, P. and Kogut, B. [1999] Localization of knowledge and the mobility of engineers in regional networks. Management Science, 45, 7: 905–917. Crossref, Google Scholar
    • Ancona, D. G. and Caldwell, D. F. [1992] Bridging the boundary: External activity and performance in organizational teams. Administrative Science Quarterly, 37, 4: 634–665. Crossref, Google Scholar
    • Andersen, E. S. [2010] Approaching national systems of innovation from the production and linkage structure. National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning, ed. B. A. Lundvall. Anthem Press, London, UK, pp. 71–96. Crossref, Google Scholar
    • Andriopoulos, C. and Lewis, M. W. [2009] Exploitation-exploration tensions and organizational ambidexterity: Managing paradoxes of innovation. Organization Science, 20, 4: 696–717. Crossref, Google Scholar
    • Antal, A. B. and Walker, E. M. [2011] Organizational learning from Chinese returners: An exploratory study of the role of cross-cultural interactions. International Business and Management, 27: 151–175. Google Scholar
    • Argote, L., Beckman, S. L. and Epple, D. [1990] The persistence and transfer of learning in industrial settings. Management Science, 36, 2: 140–154. Crossref, Google Scholar
    • Argote, L., Ingram, P., Levine, J. M. and Moreland, R. L. [2000] Knowledge transfer in organizations: Learning from the experience of others. Organizational Behavior and Human Decision Processes, 82, 1: 1–8. Crossref, Google Scholar
    • Argote, L. and Miron-Spektor, E. [2011] Organizational learning: From experience to knowledge. Organization Science, 22: 1123–1137. Crossref, Google Scholar
    • Arnold, E., Rush, H., Bessant, J. and Hobday, M. [1998] Strategic planning in research and technology institutes. R&D Management, 28, 2: 89–100. Crossref, Google Scholar
    • Arocena, R. and Sutz, J. [2000] Looking at national systems of innovation from the South. Industry and Innovation, 7, 1: 55–75. Crossref, Google Scholar
    • Bandura, A. [1977] Social Learning Theory. Prentice-Hall, Englewood Cliffs, NJ, USA. Google Scholar
    • Bohn, R. E. [1994] Measuring and managing technological knowledge. Sloan Management Review, 36, 1: 61–73. Google Scholar
    • Bouncken, R. A. and Teichert, T. A. [2013] Co-Poiesis: The joint birth of knowledge across organizational boundaries. International Journal of Innovation and Technology Management, 10, 6: 1340023 [25 pages]. Link, Google Scholar
    • Bresman, H. M. [2010] External learning activities and team performance: A multimethod field study. Organization Science, 21, 1: 81–96. Crossref, Google Scholar
    • Bresman, H. M. [2013] Changing routines: A process model of vicarious group learning in pharmaceutical R&D. Academy of Management Journal, 56, 1: 35–61. Crossref, Google Scholar
    • Bresman, H. M. and Zellmer-Bruhn, M. [2013] The Structural Context of Team learning: Effects of organizational and team structure on internal and external learning. Organization Science, 24, 4: 1120–1139. Crossref, Google Scholar
    • Chaves, C. V., Carvalho, S. S. M., Silva, L. A., Teixeira, T. C. and Bernardes, P. [2012] The point of view of firms in Minas Gerais about the contribution of universities and research institutes to R&D activities. Research Policy, 41, 9: 1683–1695. Crossref, Google Scholar
    • Chen, X. and Sun, C. [2000] Technology transfer to China: Alliances of Chinese enterprises with western technology exporters. Technovation, 20, 7: 353–362. Crossref, Google Scholar
    • Chesbrough, H. W., Vanhaverbeke, W. and West, J. [2006] Open Innovation: Researching a New Paradigm. Oxford University Press, New York, USA. Google Scholar
    • Cohen, M. D. and Bacdayan, P. [1994] Organizational routines are stored as procedural memory: Evidence from a laboratory study. Organization Science, 5, 4: 554–568. Crossref, Google Scholar
    • Cohen, W. M. and Levinthal, D. A. [1990] Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35, 1: 128–152. Crossref, Google Scholar
    • Cooper, D. R. and Emory, C. W. [1995] Business Research Methods. Richard D. Irwin Inc. Chicago, IL, USA. Google Scholar
    • Cummings, J. N. [2004] Work groups, structural diversity, and knowledge sharing in a global organization. Management Science, 50, 3: 352–364. Crossref, Google Scholar
    • Dahlman, C. J. and Nelson, R. [1995] Social absorption capability, national innovation systems and economic development. Social Capability and Long-term Growth, eds. B. H. KooD. H. Perkins, Macmillan Press, Basingstoke, UK, pp. 82–122. Crossref, Google Scholar
    • Davis, T. R. V. and Luthans, F. [1980] A social learning approach to organizational behavior. Academy of Management Review, 5: 281–290. Crossref, Google Scholar
    • Dunteman, G. H. [1989] Principal Components Analysis. Sage Publications, Newbury Park, CA, USA. Crossref, Google Scholar
    • Edmondson, A. C., Winslow, A. B., Bohmer, R. M. J. and Pisano, G. P. [2003] Learning how and learning what: Effects of tacit and codified knowledge on performance improvement following technology adoption. Decision Sciences, 34, 2: 197–224. Crossref, Google Scholar
    • Epple, D., Argote, L. and Devadas, R. [1991] Organizational learning curves: A method for investigating intra-plant transfer of knowledge acquired through learning by doing. Organization Science, 2: 58–70. Crossref, Google Scholar
    • Etzkowitz, H. [2003] Research groups as ‘quasi-firms’: The invention of the entrepreneurial university. Research Policy, 32, 1: 109–121. Crossref, Google Scholar
    • Fagerberg, J., Srholec, M. and Knell, M. [2007] The competitiveness of nations: Why some countries prosper while others fall behind. World Development, 35, 10: 1595–1620. Crossref, Google Scholar
    • Fernández, J. and Gavilanes, J. C. [2017] Learning-by-importing in emerging innovation systems: Evidence from Ecuador. Journal of International Trade and Economic Development, 26, 1: 45–64. Crossref, Google Scholar
    • Field, A. P. [2005] Discovering Statistics Using SPSS. Sage Publications Ltd. Newbury Park, CA, USA. Google Scholar
    • Freeman, C. [1987] Technology and Economic Performance: Lessons from Japan. Pinter, London, UK. Google Scholar
    • Freeman, C. [1992] Formal scientific and technical institutions in the national system of innovation. National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning, ed. K. Pavitt, Pinter. London, UK, pp. 169–187. Google Scholar
    • Fu, X., Pietrobelli, C. and Soete, L. [2011] The role of foreign technology and indigenous innovation in the emerging economies: Technological change and catching-up. World Development, 39, 7: 1204–1212. Crossref, Google Scholar
    • Geisler, E. [1995] Industry-university technology cooperation: A theory of inter-organizational relationships. Technology Analysis and Strategic Management, 7, 2: 217–229. Crossref, Google Scholar
    • Gil, Y., Bong, S. and Lee, J. [2003] Integration model of technology internalization modes and learning strategy: Globally late starter Samsung’s successful practices in South Korea. Technovation, 23, 4: 333–348. Crossref, Google Scholar
    • Gu, S. (1999). Implications of national innovation systems for developing countries: Managing change and complexity in economic development. United Nations University, Institute for New Technologies Discussion Papers. Google Scholar
    • Haas, M. R. and Hansen, M. T. [2005] When using knowledge can hurt performance: The value of organizational capabilities in a management consulting company. Strategic Management Journal, 26, 1: 1–24. Crossref, Google Scholar
    • Haas, M. R. and Hansen, M. T. [2007] Different knowledge, different benefits: Toward a productivity perspective on knowledge sharing in organizations. Strategic Management Journal, 28, 11: 1133–1153. Crossref, Google Scholar
    • Hadjimanolis, A. and Dickson, K. [2001] Development of national innovation policy in small developing countries: The case of Cyprus. Research Policy, 30, 5: 805–817. Crossref, Google Scholar
    • Hair, J. F., Anderson, R. E., Tatham, R. L. and William, C. [1995] Multivariate Data Analysis. Prentice Hall, Englewood Cliffs, NJ, USA. Google Scholar
    • Hansen, M. T. [1999] The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly, 44, 1: 82–85. Crossref, Google Scholar
    • Hoekman, B. M., Maskus, K. E. and Saggi, K. [2005] Transfer of technology to developing countries: Unilateral and multilateral policy options. World Development, 33, 10: 1587–1602. Crossref, Google Scholar
    • Hou, C. M. and Gee, S. [1993] National systems supporting technical advance in industry: The case of Taiwan. National Innovation Systems: A Comparative Analysis, ed. R. R. Nelson. Oxford University Press, New York, NY, USA, pp. 384–413. Google Scholar
    • Huber, G. P. [1991] Organizational learning: The contributing processes and the literatures. Organization Science, 2, 1: 88–115. Crossref, Google Scholar
    • Intarakumnerd, P., Chairatana, P. and Tangchitpiboon, T. [2002] National innovation system in less successful developing countries: The case of Thailand. Research Policy, 31, 8–9: 1445–1457. Crossref, Google Scholar
    • Johnson, R. A. and Wichern, D. W. [2007] Applied Multivariate Statistical Analysis, 6th edn. Prentice Hall, Upper Saddle River, NJ, USA. Google Scholar
    • Jolliffe, I. T. [1972] Discarding variables in a principal component analysis, I: Artificial data. Applied Statistics, 21: 160–173. Crossref, Google Scholar
    • Jolliffe, I. T. [1986] Principal Component Analysis. Springer, New York, NY, USA. Crossref, Google Scholar
    • Kaiser, H. F. [1960] The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20: 141–151. Crossref, Google Scholar
    • Katz, J. M. and Bercovich, N. A. [1993] National systems of innovation supporting technical advance in industry: The case of Argentina. National Innovation Systems: A Comparative Analysis, ed. R. R. Nelson. Oxford University Press, New York, NY, USA, pp. 451–475. Google Scholar
    • Kim, L. [1993] National system of industrial innovation: Dynamics of capability building in Korea. National Innovation Systems: A Comparative Analysis, ed. R. R. Nelson. Oxford University Press, New York, USA, pp. 357–383. Google Scholar
    • Lapré, M. A., Mukherjee, A. S. and Van Wassenhove, L. N. [2000] Behind the learning curve: Linking learning activities to waste reduction. Management Science, 46, 5: 597–611. Crossref, Google Scholar
    • Lundvall, B. A. [2010] User-producer relationships, national systems of innovation and internationalisation. National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning, ed. B. A. Lundvall. Anthem Press, London, UK, pp. 47–70. Crossref, Google Scholar
    • Lundvall, B. A., Johnson, B., Andersen, E. S. and Dalum, B. [2002] National systems of production, innovation and competence building. Research Policy, 31, 2: 213–231. Crossref, Google Scholar
    • Lyles, M. A. and Salk, J. E. [1996] Knowledge acquisition from foreign parents in international joint ventures: An empirical examination in the Hungarian context. Journal of International Business Studies, 27, 5: 877–903. Crossref, Google Scholar
    • MacCormack, A., Verganti, R. and Iansiti, M. [2001] Developing products on “Internet time”: The anatomy of a flexible development process. Management Science, 71, 1: 133–150. Crossref, Google Scholar
    • Mazzoleni, R. and Nelson, R. R. [2007] The roles of research at universities and public labs in economic catch-up. Research Policy, 36, 10: 1512–1528. Crossref, Google Scholar
    • Moorman, C. and Miner, A. S. [1998] Organizational improvisation and organizational memory. Academy of Management Review, 23, 4: 698–723. Crossref, Google Scholar
    • Mowery, D. C., Oxley, J. E. and Silverman, B. S. [1996] Strategic alliances and interfirm knowledge transfer. Strategic Management Journal, 17: 77–91. Crossref, Google Scholar
    • Mowery, D. C. and Sampat, B. N. [2005] Universities in national innovation systems. The Oxford Handbook of Innovation, Oxford University Press, Oxford, UK, pp. 209–239. Google Scholar
    • Murphy, K. R. and Davidshofer, C. O. [1991] Psychological Testing: Principles and Applications. Prentice-Hall, Inc. Englewood Cliffs, NJ, USA. Google Scholar
    • Nag, R., Corley, K. G. and Gioia, D. A. [2007] The intersection of organizational identity, knowledge, and practice: Attempting strategic change via knowledge grafting. Academy of Management Journal, 50, 4: 821–847. Crossref, Google Scholar
    • Narula, R. (2004). Understanding absorptive capacities in an “Innovation Systems” context: Consequences for economic and employment growth. DRUID Working Paper. Google Scholar
    • Nelson, R. R. and Rosenberg, N. [1993] Technical innovation and national systems. National Innovation Systems: A Comparative Analysis, ed. R. R. Nelson. Oxford University Press, New York, NY, USA, pp. 3–21. Google Scholar
    • Nemanich, L. A., Keller, R. T. and Vera, D. [2007] Managing the exploration/exploitation paradox in new product development: How top executives define their firm’s innovation trajectory. International Journal of Innovation and Technology Management, 4, 3: 351–374. Link, Google Scholar
    • Nemanich, L. A., Keller, R. T., Vera, D. and Chin, W. W. [2010] Absorptive capacity in R&D project teams: A conceptualization and empirical test. IEEE Transactions on Engineering Management, 57, 4: 674–688. Crossref, Google Scholar
    • Nonaka, I. [1994] A dynamic theory of organizational knowledge creation. Organization Science, 5, 1: 14–37. Crossref, Google Scholar
    • OECD [2002] Frascati Manual: Proposed Standard Practice for Surveys on Research and Experimental Development. Organization for Economic Co-Operation and Development, Paris, France. Crossref, Google Scholar
    • O’Reilly, C. A. and Tushman, M. L. [2011] Organizational ambidexterity in action: How managers explore and exploit. California Management Review, 53, 4: 5–22. Crossref, Google Scholar
    • Park, W. G. [1998] A theoretical model of government research and growth. Journal of Economic Behavior and Organization, 34, 1: 69–85. Crossref, Google Scholar
    • Pavitt, K. [1998] The social shaping of the national science base. Research Policy, 27, 8: 793–805. Crossref, Google Scholar
    • Pezeshkhan, A., Smith, A., Fainschmidt, S. and Sedeh, A. A. [2016] National business systems and firm innovation: A study of developing economies. Journal of Business Research, 69, 11: 5413–5418. Crossref, Google Scholar
    • Ploykitikoon, P. and Daim, T. U. [2010] Technology transfer strategy: Review of successful research centres in the USA and Taiwan. International Journal of Technology, Policy and Management, 10, 3: 227–238. Crossref, Google Scholar
    • Ploykitikoon, P. and Weber, C. M. [2013] Organizational knowledge and ambidexterity in national laboratories: A tale of three industries. PICMET ’13, San Jose, CA, USA, pp. 1370–1388. Google Scholar
    • Ploykitikoon, P. and Weber, C. M. [2015] Internal or external knowledge: Which is more important for the performance of national laboratories in technology latecomer countries? PICMET ’15, Portland, Oregon, USA, pp. 1787–1797. Crossref, Google Scholar
    • Ponomariov, B. and Toivanen, H. [2014] Knowledge flows and bases in emerging economy innovation systems: Brazilian research 2005–2009. Research Policy, 43, 3: 588–596. Crossref, Google Scholar
    • Raisch, S., Birkinshaw, J., Probst, G. and Tushman, M. L. [2009] Organizational ambidexterity: Balancing exploitation and exploration for sustained performance. Organization Science, 20, 4: 685–695. Crossref, Google Scholar
    • Roper, S. and Love, J. H. [2006] Innovation and regional absorptive capacity: The labour market dimension. The Annals of Regional Science, 40, 2: 437–447. Crossref, Google Scholar
    • Rosenkopf, L. and Almeida, P. [2003] Overcoming local search through alliances and mobility. Management Science, 49, 6: 751–766. Crossref, Google Scholar
    • Segelod, E. [2001] Learning through grafting in ventures in new areas. Scandinavian Journal of Management, 17, 3: 305–328. Crossref, Google Scholar
    • Stevens, J. P. [1992] Applied Multivariate Analysis for the Social Sciences. L. Erlbaum Associates, Hillsdale, NJ, USA. Google Scholar
    • Tushman, M. L. and Katz, R. [1980] External communication and project performance: An investigation into the role of gatekeepers. Management Science, 26, 11: 1071–1085. Crossref, Google Scholar
    • Utterback, J. M. [1975] The role of applied research institutes in the transfer of technology in Latin America. World Development, 3, 9: 665–673. Crossref, Google Scholar
    • Vera, D., Nemanich, L., Vélez-Castrillión, S. and Werner, S. [2016] Knowledge-based and contextual factors associated with R&D teams’ improvisation capability. Journal of Management, 42, 7: 1874–1903. Crossref, Google Scholar
    • Voit, J. R. and Drury, C. G. [2013] Factors influencing vicarious learning mechanism effectiveness within organizations. International Journal of Innovation and Technology Management, 10, 6: 1340025 [24 pages]. Link, Google Scholar
    • von Hippel, E. [1988] The Sources of Innovation. Oxford University Press, New York, NY, USA. Google Scholar
    • von Hippel, E. [1994] Sticky information and the locus of problem solving: Implications for innovation. Management Science, 40, 4: 429–439. Crossref, Google Scholar
    • von Hippel, E. and Tyre, M. J. [1995] How learning by doing is done: Problem identification in novel process equipment. Research Policy, 24, 1: 1–12. Crossref, Google Scholar
    • Watkins, A., Papaioannou, T., Mugwagwa, J. and Kale, D. [2015] National innovation systems and the intermediary role of industry associations in building institutional capacities for innovation in developing countries: A critical review of the literature. Research Policy, 44, 8: 1407–1418. Crossref, Google Scholar
    • Weber, C. [2002] Knowledge transfer and the limits to profitability: An empirical study of problem-solving practices in the semiconductor industry. IEEE Transactions on Semiconductor Manufacturing, 15, 4: 420–426. Crossref, Google Scholar
    • Wheelwright, S. C. and Clark, K. B. [1992] Revolutionizing Product Development. The Free Press, New York, NY, USA. Google Scholar
    • Wong, S. [2004] Distal and local group learning: Performance trade-offs and tensions. Organization Science, 15, 6: 645–656. Crossref, Google Scholar
    • Yang, J., Weber, C. M. and Gabella, P. [2013] Enabling collaborative solutions in the semiconductor manufacturing ecosystem. IEEE Transactions on Semiconductor Manufacturing, 26, 4: 465–475. Crossref, Google Scholar
    • Zucker, L. G., Darby, M. R. and Armstrong, J. S. [2002] Commercializing knowledge: University science, knowledge capture, and firm performance in biotechnology. Management Science, 48, 1: 138–153. Crossref, Google Scholar