Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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The Effect of Organizational Social Network Characteristics on Absorptive Capacity and Innovation Performances

조직의 사회네트워크 특성이 흡수역량과 혁신성과에 미치는 영향

  • Kang, So-Ra (Division of Digital Business, Hoseo University) ;
  • Moon, Yun-Ji (Division of Business Administration, Pusan National University)
  • 강소라 (호서대학교 디지털비즈니스학부) ;
  • 문윤지 (부산대학교 경영학부)
  • Received : 2010.09.14
  • Accepted : 2010.10.15
  • Published : 2010.10.31
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Abstract

This study, based on social capital theory, aims to explore how social network characteristics among organization members affect the absorptive capacity which is the ability to recognize the value of new information, assimilate it, and apply it to commercial ends. This paper also empirically investigates how the absorptive capacity will have an effect on organizational innovation performances toward achieving competitive advantages in the knowledge society. According to the degree of relationship intensity, social network shows two different characteristics: strong tied network and weak tied network. As strong tied network and weak tied network have relatively different network characteristics, this study assumes that each network affects the absorptive capacity with different aspects. Furthermore, we consider the moderation effect of a social network manager's ability in the relationship between social network and absorptive capacity. We surveyed innovative project performers who are engaged in the knowledge based industries. The empirical analysis results show that both strong tied and weak tied network positively affect the absorptive capacity. Successively, the absorptive capacity also has a positive impact on innovation performances.

본 연구는 사회자본(social capital) 이론에 기반을 두고 조직 구성원 간 관계망인 사회네트워크(social network)의 특성이 조직이 외부로부터 새로운 지식의 가치를 인식하고 이를 조직의 기존 지식과 결합하는 과정에서 흡수, 동화, 공유하는 흡수역량(absorptive capacity)에 어떠한 영향을 주는지, 나아가 지식사회에서 조직의 지속적인 경쟁우위를 위한 핵심역량인 이러한 흡수역량이 향후 조직의 혁신 성과에 어떠한 영향을 주는 지를 실증적으로 탐색하는 것을 목적으로 한다. 사회네트워크의 구성원 간 관계강도에 따라 관계가 약한 네트워크(외부 매개성이 높은 네트워크)와 강한 네트워크(내부 결속력이 높은 네트워크)는 각각 서로 다른 특징을 가지고 흡수역량 수준에 영향을 미치게 된다. 더불어 본 연구는 관계강도에 따른 다른 특징의 사회네트워크와 흡수역량 간 상호관계가 네트워크를 관리하는 관리자의 역량에 따라 달라질 수 있음을 조절효과로 검증하고자 한다. 지식기반산업에 종사하는 368명의 혁신 지향적 프로젝트 수행자를 대상으로 실증분석을 한 결과, 내부 결속력과 외부 매개성은 흡수역량에 긍정적인 영향을 미쳤으며, 흡수역량 역시 혁신성과에 매우 유의한 긍정적 영향을 미치는 것으로 나타났다.

Keywords

References

  1. Burt, R.S. "The Contingent Value of Social Capital," Administrative Science Quarterly, Vol.42, No.2, pp.339-365, 1997. https://doi.org/10.2307/2393923
  2. Reed, K.K., The Dynamics of Intellectual Capital. Phd. Thesis, University of Connecticut, 2000.
  3. Granovetter, M., "The Strength of Weak Ties," American Journal of Sociology, Vol.78, No.6, pp.1360-1380, 1973. https://doi.org/10.1086/225469
  4. Wellman, B. & Berkowiz, S.D., Social Structure: Network Approach. Cambridge: Cambridge University Press, 1988.
  5. Putnam, R.D. "The Prosperous Community: Social Capital and Public Life," American Prospect, Vol.13, No.35, pp.35-42, 1993.
  6. Cohen, W.M. & Levinthal, D.A. "Absorptive Capacity: A New Perspective on Learning and Innovation," Administrative Science Quarterly, Vol.35, No.1, pp.128-152, 1990. https://doi.org/10.2307/2393553
  7. Zahra, S.A. & George, G. "Absorptive Capacity: A Review Reconceptualization, and Extension," Academy of Management Review, Vol.27, No.2, pp.185-203, 2002.
  8. Vega-Jurado, J., Gutirrez-Gracia, A., & Fernndez-de-Lucio, I. "Analyzing the Determinants of Firm's Absorptive Capacity: Beyond R&D," R&D Management, Vol.38, No.4, pp.392-405, 2008. https://doi.org/10.1111/j.1467-9310.2008.00525.x
  9. Van den Bosch, F.A.J., Volberda, H.W., & de Boer, M. "Co-evolution of Firm Absorptive Capacity and Knowledge Environment: Organizational Forms and Combinative Capabilities," Organization Science, Vol.10, No.5, pp.551-568, 1999. https://doi.org/10.1287/orsc.10.5.551
  10. Gulati, R. Social Structure and Alliance Formation Pattern: A Longitudinal Analysis," Administrative Science Quarterly, Vol.40, No.3, pp.619-642, 1995. https://doi.org/10.2307/2393756
  11. Cross, R. & Prusak, L. "The Political Economy of Knowledge Markets in Organizations," In Easterby-Smith, M. & Lyles, M.(Eds.), Handbook of Organizational Learning and Knowledge Management, Blackwell Publishing, 2004.
  12. Knoke, D. & Kuklinski, J. Network Analysis. Beverly Hills, CA: Sage, 1982.
  13. Marsden, P.V. "Network Data and Measurement," Annual Review of Sociology, Vol.16, pp.435-463, 1990. https://doi.org/10.1146/annurev.so.16.080190.002251
  14. Scott, J. Social Network Analysis: A Handbook. London: Sage Publications, 1991.
  15. Wellman, B. "Structural Analysis: From Metaphor to Theory and Substance," In Wellman, B. & Berkowitz, S.D.(Eds.), Social structures: A network approach. New York, MA: Cambridge University Press, 1988.
  16. Benson, J.K. "The Interorganizational Network as a Political Economy," Administrative Science Quarterly, Vol.20, No.2, pp.229-249, 1975. https://doi.org/10.2307/2391696
  17. Ibarra, H. "Homophily and Differential Returns: Sex Differences in Network Structure and Access in an Advertising Firm," Administrative Science Quarterly, Vol.37, No.3, pp.422-447, 1992. https://doi.org/10.2307/2393451
  18. Kogut, B. & Zander, U. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, Vol.3, pp.383-397, 1992. https://doi.org/10.1287/orsc.3.3.383
  19. Shane, S. & Cable, D. "Network Ties, Reputation, and the Financing of New Ventures," Management Science, Vol.48, No.3, pp.354-381, 2002.
  20. Marsden, P.V. & Campbell, K.E. "Measuring Tie Strength," Social Forces, Vol.63, No.2, pp.482-501, 1984. https://doi.org/10.2307/2579058
  21. Krackhardt, D. "The Strength of Strong Ties," In Nohria, M. & Eccles, R.G.(Eds.), Networks and Organization: Structure, Form, and Action. Boston, MA: Harvard Business School Press, 1992.
  22. Hansen, M.T. "The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits," Administrative Science Quarterly, Vol.44, No.1, pp.82-111, 1999. https://doi.org/10.2307/2667032
  23. Deeds, D.L. "The Role of R&D Intensity, Technical Development and Absorptive Capacity in Creating Entrepreneurial Wealth in High Technology Starts-ups," Journal of Engineering and Technology Management, Vol.18, No.1, pp.29-47, 2001. https://doi.org/10.1016/S0923-4748(00)00032-1
  24. Khandwalla, P.N. The Design of Organizations, New York, NY: Harcourt, 1977.
  25. 서아영, 신경식, "가상 팀의 지식네트워크, IT 활용, 성과 간의 관계에 관한 연구: 사회 네트워크 분석을 중심으로," 경영학연구, 제33권, 제1호, pp.75-103, 2009.
  26. Attewell, P. "Technology Diffusion and Organizational Learning: The Case of Business Computing," Organization Science, Vol.3, No.1, pp.1-19, 1992. https://doi.org/10.1287/orsc.3.1.1
  27. Jones, O. & Craven, M. "Expanding Capabilities in Mature Manufacturing Firm: Absorptive Capacity and the TCS," International Small Business Journal, Vol.19, No.3, pp.39-55, 2001. https://doi.org/10.1177/0266242601193003
  28. Reagans, R. & Zuckerman, E. "Network, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, Vol.12, No.4, pp.502-517, 2001. https://doi.org/10.1287/orsc.12.4.502.10637
  29. Liao, J., Welsch, H., & Stoica, M. Organizational Absorptive Capacity and Responsiveness: An Empirical Investigation of Growth-Oriented SMEs, Entrepreneurship Theory and Practice, Vol.28, No.1, pp.63-85, 2003. https://doi.org/10.1111/1540-8520.00032
  30. Pfeffer, J. & Sutton, R.I. The Knowing-doing Gap: How Smart Companies Turn Knowledge into Action. Cambridge, MA: Harvard Business School Press, 2000.
  31. Carless, S.A. & De Paola, C. "The Measurement of Cohesion in Work Teams," Small Group Research, Vol.31, No.1, pp.71-88, 2000. https://doi.org/10.1177/104649640003100104
  32. Sarin, S. & McDermott, C. (2003), "The Effect of Team Leader Characteristics on Leaning, Knowledge Application, and Performance of cross-Functional New Product Development Team," Decision Sciences, Vol.34, No.4, pp.707-741. https://doi.org/10.1111/j.1540-5414.2003.02350.x
  33. Wageman, R. Hackman, R., & Lehman, E. "Team Diagnostic Survey: Development of an Instrument," Journal of Applied Behavioral Science, Vol.41, No.4, pp.378-398, 2005.
  34. Leonard-Barton, D. Wellsprings of Knowledge. Boston. MA: Harvard Business School Press, 1995.
  35. Devine, D.J. & Philips, J.L. "Do Smarter Teams Do Better: A Meta-Analysis of Cognitive Ability and Team Performance," Small Group Research, Vol.32, No.5, pp.507-532, 2001. https://doi.org/10.1177/104649640103200501
  36. LePine, J.A. "Team Adaption and Postchange Performance: Effects of Team Composition in Terms of Members' Cognitive Ability and Personality," Journal of Applied Psychology, Vol.88, No.1, pp.27-39, 2003. https://doi.org/10.1037/0021-9010.88.1.27
  37. Nunnally, J.C. & Bernstein, I.H. Psychometric Theory(3rd Ed). New York, NY: McGraw-Hill, 1994.
  38. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., & Tatham, R.L. Multivariate Data Analysis(6th ed). Upper Saddle River, NJ: Pearson-Prentice Hall, 2006.
  39. Fornell, C. & Larcker, D.F. "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, Vol.18, No.2, pp.39-50,. 1981. https://doi.org/10.2307/3151312
  40. Ping, R.A. "Latent Variable Research," Retrieved from: http://home.att.net/-rpingjr, 2003.
  41. Ping, R.A. "FAQ's about Latent Variable Interactions and Quadratics in Survey Data," Retrieved from http://home.att.net/-rpingjr/Faq.doc, 2003.
  42. 이현정, 김효근, "전수자의 심리적 특성이 지식이전에 미치는 영향에 관한 연구," 경영학연구, 제37권, 제1호, pp.1-34, 2008.