본문 바로가기
KERD
논문KCI 등재

지식 네트워크에서 지식 전파 행위자 모형: 지식의 암묵성이 지식 전파에 미치는 영향을 중심으로

An Agent-based Knowledge Diffusion Model on Knowledge Network: The Effect of Knowledge Tacitness on Knowledge Diffusion

1

조회

0

다운로드

2

인용

0

참고문헌

키워드

주제분류경영학

초록

본 연구는 지식 네트워크에서 지식이 전파되는 행태를 행위자 기반 모형으로 모형화하였다. 이를 위해 선행 연구를 통해 지식 전파에 영향을 주는 요인들을 네트워크 속성, 기업 속성, 지식 속성으로 분류하였으며 이를 포괄하는 변수들을 도입한 모형을 제시하였다. 방대한 모의실험으로 얻은 데이터를 바탕으로 하여 지식의 암묵성을 중심으로 지식 전파에 영향을 미치는 요인들을 분석하였다. 그 결과 지식의 암묵성이 클수록 지식 네트워크의 전반적인 지식수준은 낮아졌으며 기업 간 지식 격차는 커짐을 확인했다. 내부 혁신 역량, 흡수 역량과 같이 기업 속성에 속하는 변수들은 지식 전파에 긍정적인 영향을 끼쳤는데, 이 관계를 지식의 암묵성이 조절함을 밝혔다. 즉, 내부 혁신 역량 또는 흡수 역량이 큰 기업일수록 지식수준이 높아지는데 암묵성이 큰 지식일수록 그 효과가 더 증가함을 확인한 것이다.

Abstract

This paper presents an agent-based model for knowledge diffusion on knowledge network. Based on literature review regarding knowledge network, the factors that affects the behavior of knowledge diffusion are classified as three categories: network-related, firm-related, and knowledge-related factors. The model adopts all three categories as driver of knowledge diffusion including the depreciation rate of knowledge (network-related), internal innovation capacity, absorptive capacity, learning capacity, degree centrality (thus far, firm-related), and tacitness of transferred knowledge (knowledge-related). This paper analyzes the effect of knowledge tacitness on knowledge diffusion based on large simulation runs. It shows that as the tacitness increases, the mean of knowledge level decreases, whereas the coefficient of variation among network members increases. Also, we find that the firm-related variables such as internal innovation capacity and absorptive capacity have a significantly positive effect on firm’s knowledge level. We further find that the tacitness of transferred knowledge moderates the relationship between the firm-related variables and knowledge diffusion. It means that the positive effect of a firm’s absorptive capacity (or internal innovation capacity) on its knowledge level increases as the tacitness of knowledge increases.

참고문헌 (54)

  1. 권영훈, "SCM 정보기술, 흡수역량, 지식공유의 기업성과에 대한 영향 연구", 한국생산관리학회지, 19(2), pp.3~26 (2008), 한국생산관리학회
  2. 이건창, "탐색 및 활용을 통한 컴퓨터 매개 커뮤니케이션의 팀 창의성에 관한 연구:에이전트 모델링 기법을 중심으로", 경영과학, 28(1), pp.91~105 (2011), 한국경영과학회
  3. 허대식, "구매기업의 지식기반 공급자개발활동이 공급기업의 사회적 자본, 지식습득 및 운영성과에 미치는 영향", 한국생산관리학회지, 24(2), pp.185~215 (2013), 한국생산관리학회
  4. Ahuja, G., "Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study", Administrative Science Quarterly, 45(3), pp.425~455 (2000)
  5. Attewell, P., "Technology Diffusion and Or ganizational Learning: The Case of Business Computing", Organization Science, 3(1), pp.1~19 (1992)
  6. Barabási, A.-L., "Emergence of Scaling in Random Networks", Science, 286(5439), pp.509~512 (1999)
  7. Bresman, H., "Knowledge Transfer in International Acquisitions", Journal of International Business Studies, 30(3), pp.439~462 (1999)
  8. Burt, R. S., "Structural Holes: The Social Structure of Competition" (1992), Harvard university press
  9. Burt, Ronald S., "Structural Holes and Good Ideas", American Journal of Sociology, 110(2), pp.349~399 (2004)
  10. Centola, D., "Complex Contagions and the Weakness of Long Ties", American Journal of Sociology, 113(3), pp.702~734 (2007)
  11. Cheng, J. L. C., "Paradigm Development and Communication in Scientific Settings : A Contingency Analysis", Academy of Management Journal, 27(4), pp.870~877 (1984)
  12. Cohen, W. M., "Absorptive Capacity: A New Perspective on Learning and Innovation", Administrative Science Quarterly, 35(1), pp.128~152 (1990)
  13. Cowan, R., "Network Models of Innovation and Knowledge Diffusion", Clusters, Networks and Innovation, pp.29~53 (2005)
  14. Cowan, R., "Network Structure and the Diffusion of Knowledge", Journal of Economic Dynamics and Control, 28(8), pp.1557~1575 (2004)
  15. Cummings, J. L., "Transferring R&D Knowledge : The Key Factors Affecting Knowledge Transfer Success", Journal of Engineering and Technology Management, 20(1-2), pp.39~68 (2003)
  16. Delre, S. A., "Diffusion Dynamics in Small-World Networks with Heterogeneous Consumers", Computational & Mathematical Organization Theory, 13(2), pp.185~202 (2007)
  17. Epple, D., "Organizational Learning Curves: A Method for Investigating Intra-Plant Transfer of Knowledge Acquired through Learning by Doing", Organization Science, 2(1), pp.58~70 (1991)
  18. Epple, D., "An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer through Learning by Doing", Operations Research, 44(1), pp.77~86 (1996)
  19. Fine, C. H., "Clockspeed: Winning Industry Control in the Age of Temporary Advantage" (1998), Basic Books
  20. Hansen, M. T., "The Search-Transfer Problem : The Role of Weak Ties in Sharing Knowledge across Organization Subunits", Administrative Science Quarterly, 44(1), pp.82~111 (1999)
  21. Hansen, M. T., "Knowledge Networks : Explaining Effective Knowledge Sharing in Multiunit Companies", Organization Science, 13(3), pp.232~248 (2002)
  22. Hedström, P, "Causal Mechanisms in the Social Sciences", Annual Review of Sociology, 36(1), pp.49~67 (2010)
  23. Jackson, M. O., "Social and Economic Networks" (2010), Princeton University Press
  24. Kim, H., "Structural Effects of R&D Collaboration Network on Knowledge Diffusion Performance", Expert Systems with Applications, 36(5), pp.8986~8992 (2009)
  25. Lane, P. J., "Relative Absorptive Capacity and Interorganizational Learning", Strategic Management Journal, 19(5), pp.461~477 (1998)
  26. Macal, C. M., "Tutorial on Agent-Based Modelling and Simulation", Journal of Simulation, 4(3), pp.151~162 (2010)
  27. March, J., "Exploration and Exploitation in Organizational Learning", Organization Science, 2(1), pp.71~87 (1991)
  28. Miller, J. H., "Active Nonlinear Tests (Ants)of Complex Simulation Models", Management Science, 44(6), pp.820~830 (1998)
  29. Miller, K. D., "Adding Interpersonal Learning and Tacit Knowledge to March's Exploration-Exploitation Model", Academy of Management Journal, 49(4), pp.709~722 (2006)
  30. Morone, P., "Knowledge Diffusion Dynamics and Network Properties of Face-to-Face Interactions", Journal of Evolutionary Economics, 14(3), pp.327~351 (2004)
  31. Nair, A., "Supply Network Topology and Robustness against Disruptions – an Investigation Using Multi-Agent Model", International Journal of Production Research, 49(5), pp.1391~1404 (2011)
  32. Nonaka, I., "A Dynamic Theory of Organizational Knowledge Creation", Organization Science, 5(1), pp.14~37 (1994)
  33. Nonaka, I., "The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation" (1995), Oxford university press
  34. North, M. J., "Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation" (2007), Oxford University Press
  35. Phelps, C., "Knowledge, Networks, and Knowledge Networks:A Review and Research Agenda", Journal of Management, 38(4), pp.1115~1166 (2012)
  36. Polanyi, M., "Personal Knowledge: Towards a Post-Critical Philosophy" (1962), University of Chicago Press
  37. Railsback, S. F., "Agent-Based and Individual-Based Modeling: A Practical Introduction" (2011), Princeton University Press
  38. Rahmandad, H., "Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models", Management Science, 54(5), pp.998~1014 (2008)
  39. Rand, W., "Agent-Based Modeling in Marketing: Guidelines for Rigor", International Journal of Research in Marketing, 28(3), pp.181~193 (2011)
  40. Reagans, R., "Network Structure and Knowledge Transfer: The Effects of Cohesion and Range", Administrative Science Quarterly, 48(2), pp.240~267 (2003)
  41. Rodan, S., "More Than Network Structure: How Knowledge Heterogeneity Influences Managerial Performance and Innovativeness", Strategic Management Journal, 25(6), pp.541~562 (2004)
  42. Romer, P. M., "Endogenous Technological Change", Journal of Political Economy, 98(5), pp.71~102 (1990)
  43. Schelling, T. C., "Micromotives and Macro behavior" (1978), Norton
  44. Simonin, B. L., "Ambiguity and the Process of Knowledge Transfer in Strategic Alliances", Strategic Management Journal, 20(7), pp.595~623 (1999)
  45. Simonin, B. L., "An Empirical Investigation of the Process of Knowledge Transfer in International Strategic Alliances", Journal of International Business Studies, 35(5), pp.407~427 (2004)
  46. Singh, J., "Lone Inventors as Sources of Breakthroughs : Myth or Reality?", Management Science, 56(1), pp.41~56 (2010)
  47. Szulanski, G., "Exploring Internal Stickiness : Impediments to the Transfer of Best Practice within the Firm", Strategic Management Journal, 17(S2), pp.27~43 (1996)
  48. Tsai, W., "Knowledge Transfer in Intraorganizational Networks : Effects of Network Position and Absorptive Capacity on Business Unit Innovation and Performance", Academy of Management Journal, 44(5), pp.996~1004 (2001)
  49. Uzzi, B., "Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients", Management Science, 49(4), pp.383~399 (2003)
  50. van Eck, P. S., "Opinion Leaders' Role in Innovation Diffusion: A Simulation Study", Journal of Product Innovation Management, 28(2), pp.187~203 (2011)
  51. Wagner, C. S., "Network Structure, Self-Organization, and the Growth of International Collaboration in Science", Research Policy, 34(10), pp.1608~1618 (2005)
  52. Wilensky, U., "NetLogo. Center for Connected Learning and Computer-Based Modeling", pp.1999
  53. Wuchty, S., "The Increasing Dominance of Teams in Production of Knowledge", Science, 316(5827), pp.1036~1039 (2007)
  54. Zander, U., "Knowledge and the Speed of the Transfer and Imitation of Organizational Capabilities: An Empirical Test", Organization Science, 6(1), pp.76~92 (1995)

관련 논문AI추천

이 간행물의 다른 논문 (7건)