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Knowledge Transfer in Organizations

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Organizational Learning

Abstract

Great Ormond Street Hospital in Great Britain learned from Ferrari racing crews how to handle patient handovers or transitions from one unit to another more effectively and, thereby, improved patient care (Naik, 2006). General Motors Corporation built identical plants in Argentina, Poland, China, and Thailand so that knowledge acquired at one plant would be relevant for and transferable to others (Blumenstein, 1997). Intel uses a “copy exactly” approach to their multiple facilities in which establishments are replicated down to the color of their paint so that knowledge acquired in one establishment is relevant for others (Reinhardt, 1997). These examples illustrate the importance organizations attach to transferring knowledge in organizations. The organizations realize benefits when one of their units “learns” from another unit or organization. This chapter describes research on one organization learning from another—on knowledge transfer across organizations.

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References

  • Abrams, D., & Hogg, M. A. (Eds.). (1990). Social identity theory: Constructive and critical advances. New York: Springer.

    Google Scholar 

  • Adler, P. S. (1990). Shared learning. Management Science, 36, 938–957.

    Google Scholar 

  • Adler, P. S., & Cole, R. E. (1993). Designed for learning: A tale of two auto plants. Sloan Management Review, 34(3), 85–94.

    Google Scholar 

  • Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136.

    Google Scholar 

  • Allen, T. J. (1977). Managing the flow of technology: Technology transfer and the dissemination of technological information within the R&D organization. Cambridge, MA: MIT Press.

    Google Scholar 

  • Almeida, P., & Kogut, B. (1999). Localization of knowledge and the mobility of engineers in regional networks. Management Science, 45(7), 905–917.

    Google Scholar 

  • Ancona, D. G., & Caldwell, D. F. (1992). Bridging the boundary: External activity and performance in organizational teams. Administrative Science Quarterly, 37, 634–665.

    Google Scholar 

  • Appleyard, M. M. (1996). How does knowledge flow? Interfirm patterns in the semiconductor industry. Strategic Management Journal, 17, 137–154.

    Google Scholar 

  • Argote, L., Beckman, S. L., & Epple, D. (1990). The persistence and transfer of learning in industrial settings. Management Science, 36, 140–154.

    Google Scholar 

  • Argote, L., & Darr, E. D. (2000). Repositories of knowledge in franchise organizations: Individual, structural and technological. In G. Dosi, R. Nelson, & S. Winter (Eds.), Nature and dynamics of organizational capabilities (pp. 51–68). Oxford: Oxford University Press.

    Google Scholar 

  • Argote, L., & Epple, D. (1990). Learning curves in manufacturing. Science, 247, 920–924.

    Google Scholar 

  • Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150–169.

    Google Scholar 

  • Ashforth, B. E., & Mael, F. (1989). Social identify theory and the organization. Academy of Management Review, 14, 20–39.

    Google Scholar 

  • Ashworth, M., Mukhopadhyay, T., & Argote, L. (2004). Information technology and organizational learning: An empirical analysis. Proceedings of the 25th Annual International Conference on Information Systems (ICIS), 11–21.

    Google Scholar 

  • Attewell, P. (1992). Technology diffusion and organizational learning: The case of business computing. Organization Science, 3, 1–19.

    Google Scholar 

  • Baldwin, T. T., & Ford, J. K. (1988). Transfer of training: A review and direction for future research. Personnel Psychology, 41, 63–105.

    Google Scholar 

  • Barkema, H. G., Bell, J. H. J., & Pennings, J. M. (1996). Foreign entry, cultural barriers, and learning. Strategic Management Journal, 17, 151–166.

    Google Scholar 

  • Baum, J. A. C., & Berta, W. B. (1998, June). Sources, timing, and speed: Population-level learning by organizations in a longitudinal behavioral simulation. Paper presented at Carnegie-Wisconsin Conference on Knowledge Transfer and Levels of Learning, Carnegie Mellon University, Pittsburgh, PA.

    Google Scholar 

  • Baum, J. A. C., & Ingram, P. (1998). Survival-enhancing learning in the Manhattan hotel industry, 1898–1980. Management Science, 44, 996–1016.

    Google Scholar 

  • Benkard, C. L. (2000). Learning and forgetting: The dynamics of aircraft production. American Economic Review, 90(4), 1034–1054.

    Google Scholar 

  • Berry, D. C., & Broadbent, D. E. (1987). The combination of explicit and implicit learning processes in task control. Psychological Research, 49, 7–15.

    Google Scholar 

  • Bloom, N., & Van Reenen, J. (2010). Why do management practices differ across firms and countries? Journal of Economic Perspectives, 24(1), 203–224.

    Google Scholar 

  • Blumenstein, R. (1997, August 4). GM is building plants in developing nations to woo new markets. The Wall Street Journal, pp. A1, A4.

    Google Scholar 

  • Borgatti, S. P., & Cross, R. (2003). A relational view of information seeking and learning in social networks. Management Science, 49(4), 432–445.

    Google Scholar 

  • Brewer, M. B. (1979). In-group bias in the minimal intergroup situation: A cognitive-motivational analysis. Psychological Bulletin, 86, 307–324.

    Google Scholar 

  • Brown, J. S., & Duguid, P. (1991). Organizational learning and communities of practice: Toward a unified view of working, learning and innovation. Organization Science, 2, 40–57.

    Google Scholar 

  • Browning, L. D., Beyer, J. M., & Shetler, J. C. (1995). Building cooperation in a competitive industry: SEMATECH and the semiconductor industry. Academy of Management Journal, 38, 113–151.

    Google Scholar 

  • Burns, L. R., & Wholey, D. R. (1993). Adoption and abandonment of matrix management programs: Effects of organizational characteristics and interorganizational networks. Academy of Management Journal, 36, 106–138.

    Google Scholar 

  • Burt, R. S. (1987). Social contagion and innovation, cohesion versus structural equivalence. American Journal of Sociology, 92, 1287–1335.

    Google Scholar 

  • Carey, S. (1998, March 24). Management: US Air ‘peon’ team pilots start-up of low-fare airline. The Wall Street Journal, p. B1

    Google Scholar 

  • Chew, W. B., Bresnahan, T. F., & Clark, K. B. (1990). Measurement, coordination and learning in a multi-plant network. In R. S. Kaplan (Ed.), Measures for manufacturing excellence (pp. 129–162). Boston: Harvard Business Press.

    Google Scholar 

  • Cho, D., Kim, D., & Rhee, D. (1998). Latecomer strategies: Evidence from the semiconductor industry in Japan and Korea. Organization Science, 9, 489–505.

    Google Scholar 

  • Christian, N. M. (1997, June 5). Chrysler suppliers’ cost-saving ideas likely to add $325 million to its ’97 net. The Wall Street Journal, p. A6.

    Google Scholar 

  • Clark, N. (May 18, 2007). Turnaround effort in challenging at Airbus, a stew of European cultures. New York Times.

    Google Scholar 

  • Cohen, W. M., & Levinthal, D. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35, 128–152.

    Google Scholar 

  • Collins, C. J., & Smith, K. G. (2006). Knowledge exchange and combination: The role of human resource practices in the performance of high-technology firms. Academy of Management Journal, 49(3), 544–560.

    Google Scholar 

  • Cool, K. D., Dierickx, I., & Szulanski, G. (1997). Diffusion of innovations within organizations: Electronic switching in the Bell System, 1971–1982. Organization Science, 8, 543–559.

    Google Scholar 

  • Daft, R. L., & Lengel, R. H. (1984). Information richness: A new approach to managerial behavior and organization design. Research in Organizational Behavior, 6, 191–223.

    Google Scholar 

  • Darr, E., & Kurtzberg, T. (2000). An investigation of dimensions of knowledge transfer. Organizational Behavior and Human Decision Processes, 82, 28–44.

    Google Scholar 

  • Darr, E., Argote, L., & Epple, D. (1995). The acquisition, transfer and depreciation of knowledge in service organizations: Productivity in franchises. Management Science, 41, 1750–1762.

    Google Scholar 

  • Dasgupta, N. (2004). Implicit group favoritism, outgroup favoritism, and their behavioral manifestations. Social Justice Research, 17, 143–170.

    Google Scholar 

  • Davis, G. (1991). Agents without principles? The spread of the poison pill through the intercorporate network. Administrative Science Quarterly, 36, 583–613.

    Google Scholar 

  • DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 147–160.

    Google Scholar 

  • Dokko, G., Wilk, S. L., & Rothbard, N. P. (2009). Unpacking prior experience: How career history affects job performance. Organization Science, 20, 51–68.

    Google Scholar 

  • Dutton, J. M., & Starbuck, W. H. (1979). Diffusion of an intellectual technology. In K. Krippendorff (Ed.), Communication and control in society (pp. 489–511). New York: Gordon & Breach Science.

    Google Scholar 

  • Epple, D., Argote, L., & 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.

    Google Scholar 

  • Epple, D., Argote, L., & Murphy, K. (1996). An empirical investigation of the micro structure of knowledge acquisition and transfer through learning by doing. Operations Research, 44, 77–86.

    Google Scholar 

  • Fair, R. C. (1970). The estimation of simultaneous equation models with lagged endogenous variables and first order serially correlated errors. Econometrica, 38, 507–516.

    Google Scholar 

  • Foster, A. D., & Rosenzweig, M. R. (1995). Learning by doing and learning from others: Human capital and technical change in agriculture. Journal of Political Economy, 103, 1176–1209.

    Google Scholar 

  • Gaertner, L., & Insko, C. A. (2000). Intergroup categorization in the minimal group paradigm: Categorization, reciprocation or fear. Journal of Personality and Social Psychology, 79, 77–94.

    Google Scholar 

  • Gaertner, S. L., & Dovidio, J. E. (1989). Reducing intergroup bias: The benefits of recategorization. Journal of Personality and Social Psychology, 57, 239–249.

    Google Scholar 

  • Galbraith, C. S. (1990). Transferring core manufacturing technologies in high technology firms. California Management Review, 32(4), 56–70.

    Google Scholar 

  • Ghemawat, P. (1985). Building strategy on the experience curve. Harvard Business Review, 63(2), 143–149.

    Google Scholar 

  • Graban, M. (2012). Lean hospitals: Improving quality, patient safety and employee engagement (2nd ed.). Boca Raton, FL: Taylor Francis Group.

    Google Scholar 

  • Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91, 481–510.

    Google Scholar 

  • Haas, M., & Hansen, M. T. (2005). When using knowledge can hurt performance: The value of organizational capabilities in a management consulting company. Strategic Management Journal, 26, 1–24.

    Google Scholar 

  • Hamel, G. (1991). Competition for competence and inter-partner learning within international strategic alliances. Strategic Management Journal, 12, 83–103.

    Google Scholar 

  • Hansen, M. (1999). The search transfer problem: The role of weak ties in sharing knowledge across organizational subunits. Administrative Science Quarterly, 44, 82–111.

    Google Scholar 

  • Haunschild, P. (1993). Interorganizational imitation: The impact of interlocks on corporate acquisition activity. Administrative Science Quarterly, 38, 564–592.

    Google Scholar 

  • Haunschild, P. R., & Miner, A. S. (1997). Modes of interorganizational imitation: The effects of outcome salience and uncertainty. Administrative Science Quarterly, 42, 472–500.

    Google Scholar 

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1271.

    Google Scholar 

  • Hayes, R. H., & Clark, K. B. (1986). Why some factories are more productive than others. Harvard Business Review, 64(5), 66–73.

    Google Scholar 

  • Henderson, R., & Cockburn, I. (1996). Scale, scope and spillovers: The determinants of research productivity in drug discovery. The Rand Journal of Economics, 27, 32–59.

    Google Scholar 

  • Hewstone, M., Rubin, M., & Willis, H. (2002). Intergroup bias. Annual Review of Psychology, 53, 575–604.

    Google Scholar 

  • Huber, G. P. (1991). Organizational learning: The contributing processes and the literatures. Organization Science, 2, 88–115.

    Google Scholar 

  • Hutchins, E. (1991). Organizing work by adaptation. Organization Science, 2, 14–39.

    Google Scholar 

  • Hwang, E. H., Singh, P. V., & Argote, L. (2012). Learning to cross boundaries in online knowledge communities: Fading of surface-level and rise of deep-level similarity with experience. Paper presented in Organization Science Winter Conference, Steamboat Springs, CO.

    Google Scholar 

  • Ingram, P., & Simons, T. (2002). The transfer of experience in groups of organizations: Implications for performance and competition. Management Science, 48, 1517–1533.

    Google Scholar 

  • Irwin, D. A., & Klenow, P. J. (1994). Learning-by-doing spillovers in the semiconductor industry. Journal of Political Economy, 102, 1200–1227.

    Google Scholar 

  • Joskow, P. L., & Rose, N. L. (1985). The effects of technological change, experience, and environmental regulation on the construction cost of coal-burning generating units. The Rand Journal of Economics, 16, 1–27.

    Google Scholar 

  • Kane, A. A. (2010). Unlocking knowledge transfer potential: Knowledge demonstrability and superordinate social identity. Organization Science, 21(3), 643–660.

    Google Scholar 

  • Kane, A. A., Argote, L., & Levine, J. M. (2005). Knowledge transfer between groups via personnel rotation: Effects of social identity and knowledge quality. Organizational Behavior and Human Decision Processes, 96, 56–71.

    Google Scholar 

  • Keller, R. T., & Chinta, R. R. (1990). International technology transfer: Strategies for success. Academy of Management Executive, 4(2), 33–43.

    Google Scholar 

  • Kelsey, S. F., Mullin, S. M., Detre, K. M., Mitchell, H., Cowley, M. J., Gruentzig, A. R., & Kent, K. M. (1984). Effect of investigator experience on percutaneous transluminal coronary angioplasty. American Journal of Cardiology, 53, 56C–64C.

    Google Scholar 

  • Kim, S. H. (2008). An empirical assessment of knowledge management systems (Ph.D. Dissertation). Carnegie Mellon University, Pittsburgh, PA.

    Google Scholar 

  • Kogut, B. (1988). A study of the life cycles of joint ventures. Management International Review, 28, 39–52.

    Google Scholar 

  • Kogut, B. (1991). Joint ventures and the option to expand and acquire. Management Science, 37, 19–33.

    Google Scholar 

  • Knott, A. M. (2001). The dynamic value of hierarchy. Management Science, 47, 430–448.

    Google Scholar 

  • Kramer, R. M. (1991). Intergroup relations and organizational dilemmas: The role of categorization processes. Research in Organizational Behavior, 13, 191–228.

    Google Scholar 

  • Kraut, R. E., Egido, C., & Galegher, J. (1990). Patterns of contact and communication in scientific research collaboration. In J. Galegher, R. E. Kraut, & C. Egido (Eds.), Intellectual teamwork: Social and technological foundations of cooperative work (pp. 149–172). Hillsdale, NJ: Lawwrence Erlbaum.

    Google Scholar 

  • Lane, F. C. (1951). Ships for victory: A history of shipbuilding under the U.S. Maritime Commission in World War II. Baltimore: The Johns Hopkins Press.

    Google Scholar 

  • Larsson, R., Bengtsson, L., Henriksson, K., & Sparks, J. (1998). The interorganizational learning dilemma: Collective knowledge development in strategic alliances. Organization Science, 9, 285–305.

    Google Scholar 

  • Laughlin, P. R., & Ellis, A. L. (1986). Demonstrability and social combination processes on mathematical intellective tasks. Journal of Experimental Social Psychology, 22, 177–189.

    Google Scholar 

  • Lave, J. (1991). Situating learning in communities of practice. In L. B. Resnick, J. M. Levine, & S. D. Teasley (Eds.), Perspectives on socially shared cognition (pp. 63–82). Washington, DC: American Psychological Association.

    Google Scholar 

  • Leonard-Barton, D. (1988). Implementation as mutual adaptation of technology and organization. Research Policy, 17, 251–267.

    Google Scholar 

  • Lester, R. K., & McCabe, M. J. (1993). The effect of industrial structure on learning by doing in nuclear power plant operation. The Rand Journal of Economics, 24, 418–438.

    Google Scholar 

  • Levine, J. M., & Moreland, R. L. (1991). Culture and socialization in work groups. In L. B. Resnick, J. M. Levine, & S. D. Teasley (Eds.), Perspectives on socially shared cognition (pp. 257–279). Washington, DC: American Psychological Association.

    Google Scholar 

  • Levine, S. S., & Prietula, M. J. (2012). How knowledge transfer affects performance: A multilevel model of benefits and liabilities. Organization Science. doi:dx.doi.org/10.1287/orsc.1110.0697.

  • Levitt, B., & March, J. G. (1988). Organizational learning. Annual Review of Sociology, 14, 319–340.

    Google Scholar 

  • Lewis, K., Lange, D., & Gillis, L. (2005). Transactive memory systems, learning and learning transfer. Organization Science, 16(6), 581–598.

    Google Scholar 

  • Lewis, W. (1993, October 22). The secret to competitiveness. The Wall Street Journal, p. A14.

    Google Scholar 

  • Makhija, M. V., & Ganesh, U. (1997). The relationship between control and partner learning in learning-related joint ventures. Organization Science, 8, 508–527.

    Google Scholar 

  • Mansfield, E. (1985). How rapidly does industrial technology leak out? The Journal of Industrial Economics, 34, 217–224.

    Google Scholar 

  • McEvily, B., & Zaheer, A. (1999). Bridging ties: A source of firm heterogeneity in competitive capabilities. Strategic Management Journal, 20, 1133–1156.

    Google Scholar 

  • Menon, T., & Pfeffer, J. (2003). Valuing internal versus external knowledge: Explaining the preference for outsiders. Management Science, 49, 497–513.

    Google Scholar 

  • Messick, D. M., & Mackie, D. M. (1989). Intergroup relations. Annual Review of Psychology, 40, 45–81.

    Google Scholar 

  • Meyer, A. D., & Goes, J. B. (1988). Organizational assimilation of innovations: A multilevel contextual analysis. Academy of Management Journal, 31, 897–923.

    Google Scholar 

  • Mishina, K., (1992). Learning by new experiences (Working Paper). Boston, MA: Harvard Business School.

    Google Scholar 

  • Mowery, D. C., Oxley, J. E., & Silverman, B. (1996). Strategic alliances and interfirm knowledge transfer. Strategic Management Journal, 17, 77–91.

    Google Scholar 

  • Naik, G. (November 14, 2006). Hospital races to learn lessons of Ferrari crew. Wall Street Journal.

    Google Scholar 

  • Ounjian, M. L., & Carne, E. B. (1987). A study of the factors which affect technology transfer in a multilocation multibusiness unit corporation. IEEE Transactions on Engineering Management, EM-34, 194–201.

    Google Scholar 

  • Phelps, C., Heidl, R., & Wadhwa, A. (2012). Knowledge, networks and knowledge networks: A review and research agenda. Journal of Management. doi:10.1177/0149206311432640.

  • Porac, J. F., & Thomas, H. (1994). Cognitive categorization and subjective rivalry among retailers in a small city. Journal of Applied Psychology, 79, 54–66.

    Google Scholar 

  • Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganziational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41, 116–145.

    Google Scholar 

  • Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48, 240–267.

    Google Scholar 

  • Reinhardt, A. (1997, May 26). Intel’s dreamers make room for a details man. Business Week, pp. 125–128.

    Google Scholar 

  • Rogers, E. (1995). Diffusion of innovations (4th ed.). New York: Free.

    Google Scholar 

  • Rosenkopf, L., & Almeida, P. (2003). Overcoming local search through alliances and mobility. Management Science, 49, 751–766.

    Google Scholar 

  • Rothwell, R. (1978). Some problems of technology transfer into industry: Examples from the textile machinery sector. IEEE Transactions on Engineering Management, EM-25, 15–20.

    Google Scholar 

  • Rulke, D., Zaheer, S., & Anderson, M. (2000). Sources of managers’ knowledge of organizational capabilities. Organizational Behavior and Human Decision Processes, 82, 134–149.

    Google Scholar 

  • Scott, W. R. (1987). The adolescence of institutional theory. Administrative Science Quarterly, 32, 493–511.

    Google Scholar 

  • Shan, W., Walker, G., & Kogut, B. (1994). Interfirm cooperation and startup innovation in the biotechnology industry. Strategic Management Journal, 15, 387–394.

    Google Scholar 

  • Sherif, M. (1958). Superordinate goals in the reduction of intergroup conflict. American Journal of Sociology, 63, 349–356.

    Google Scholar 

  • Sine, W. D., Shane, S., & Di Gregorio, D. (2003). The halo effect and technology licensing: The influence of institutional prestige on the licensing of university inventions. Management Science, 49(4), 478–496.

    Google Scholar 

  • Singley, M. K., & Anderson, J. R. (1989). The transfer of cognitive skill. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Suchman, L. (1987). Plans and situated actions: The problem of human-machine communication. New York: Cambridge University Press.

    Google Scholar 

  • Szulanski, G. (1996). Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Management Journal, 17, 27–43.

    Google Scholar 

  • A survey of manufacturing: Meet the global factory (1998, June 20). The Economist, pp. M1–M18.

    Google Scholar 

  • Tajfel, H. (1981). Human groups and social categories: Studies in social psychology. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Tannenbaum, A. S. (1968). Control in organizations. New York: McGraw-Hill.

    Google Scholar 

  • Tannenbaum, J. A. (1996, May 21). Chicken and burgers create hot new class: Powerful franchisees. The Wall Street Journal, pp. A1, A8.

    Google Scholar 

  • Thompson, L. (1998, June). Analogical reasoning in the transfer of managerial knowledge. Paper presented at Carnegie-Wisconsin Conference on Knowledge Transfer and Levels of Learning, Carnegie Mellon University, Pittsburgh, PA.

    Google Scholar 

  • Tichy, N. M., Tushman, M. L., & Frombrun, C. (1979). Social network analysis for organizations. Academy of Management Review, 4, 507–519.

    Google Scholar 

  • Tolbert, P. S., & Zucker, L. G. (1983). Institutional sources of change in the formal structure of organizations: The diffusion of civil service reform, 1880–1935. Administrative Science Quarterly, 28, 22–39.

    Google Scholar 

  • Tsai, W. (2002). Social structure of “coopetition” within a multiunit organization: Coordination, competition, and intraorganizational knowledge sharing. Organization Science, 13(2), 179–190.

    Google Scholar 

  • Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the social group: A self-categorization theory. Oxford, UK: Basil Blackwell.

    Google Scholar 

  • Tushman, M. L. (1977). Special boundary roles in the innovation process. Administrative Science Quarterly, 22, 587–605.

    Google Scholar 

  • Tyre, M. J., & Orlikowski, W. J. (1994). Windows of opportunity: Temporal patterns of technological adaptation in organizations. Organization Science, 5, 98–118.

    Google Scholar 

  • Udayajiri, N. D., & Balakrishnan, S. (1993, May). Learning curves and knowledge spillovers: The case of semiconductor memories. Paper presented at the TIMS/ORSA Meeting, Chicago.

    Google Scholar 

  • Uzzi, B. (1996). Sources and consequences of embeddedness for the economic performance of organizations. American Sociological Review, 61, 674–698.

    Google Scholar 

  • Volberda, H. W., Foss, N. J., & Lyles, M. A. (2010). Absorbing the concept of absorptive capacity: How to realize its potential in the organizational field. Organization Science, 21, 931–951.

    Google Scholar 

  • von Hippel, E. (1988). The sources of innovation. New York: Oxford University Press.

    Google Scholar 

  • Walsh, M. M., & Anderson, J. R. (2011). Modulation of the feedback-related negativity by instruction and experience. Proceedings of the National Academy of Science United States of America, 108(47), 19048–19053.

    Google Scholar 

  • Winter, S. G., Szulanski, G., Ringov, D., & Jensen, R. J. (2012). Reproducing knowledge: Inaccurate replication and failure in franchise organizations. Organization Science. doi:10.1287/orsc.1110.0663.

  • Zander, U., & Kogut, B. (1995). Knowledge and the speed of the transfer and imitation of organizational capabilities: An empirical test. Organization Science, 6, 76–92.

    Google Scholar 

  • Zimmerman, M. B. (1982). Learning effects and the commercialization of new energy technologies: The case of nuclear power. Bell Journal of Economics, 13, 297–310.

    Google Scholar 

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Argote, L. (2013). Knowledge Transfer in Organizations. In: Organizational Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5251-5_6

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