The Journal of Society for e-Business Studies (한국전자거래학회지)

Society for e-Business Studies (한국전자거래학회)
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Exploring Impact of Individual Network Position toward Knowledge Sharing Intention

개인의 네트워크 위치가 지식공유 의도에 미치는 영향에 관한 탐색적 연구

  • Received : 2016.04.11
  • Accepted : 2016.06.16
  • Published : 2016.08.31
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Abstract

We explore the impact of individuals'network position toward knowledge sharing intention. In order to identify network positions, we utilize three centrality measures (degree/closeness/betweenness) of individual network participants. The research findings show that the individual network positions significantly affect knowledge sharing intentions. Since an individual with high degree centrality might be the leader or the hub, one makes considerable effort to maintain the network position by actively participating in intra-team and inter-team knowledge sharing, A participant who can quickly interact with many other participants within a team (high closeness centrality) is more interested in intra-team knowledge sharing than inter-team knowledge sharing. Unlike degree centrality and closeness centrality, the betweenness centrality provides a participant with diverse resources located in multiple sub-groups. Although an individual with high betweenness centrality is not at the center of the networks, one plays a crucial role in disseminating and regulating information. Therefore, the individual is likely to have more positive intention toward inter-team knowledge sharing than intra-team knowledge sharing.

본 연구에서는 세 개의 중심성 변수(연결중심성, 근접중심성, 그리고 매개중심성)를 이용하여 네트워크 내에서의 개별 구성원들의 위치를 파악하고, 파악된 위치가 개별 구성원들의 팀 내 외 지식공유 의도에 어떤 영향을 미치는지를 탐색하였다. 연구 결과, 팀 내 지식공유 의도에 있어서 연결중심성과 근접중심성은 통계적으로 유의한 영향을 미치나, 매개중심성은 통계적으로 유의한 영향을 미치지 못하는 것으로 분석되었다. 반면 팀 외 지식공유에 있어서는 연결중심성과 매개중심성이 통계적으로 유의한 영향을 미쳤으나, 근접중심성은 유의한 영향을 미치지 못하는 것으로 분석되었다. 연결중심성이 높은 구성원들은 네트워크 내의 허브 역할을 하고 있기 때문에, 그들은 그 위치를 유지하고자 팀 내 뿐만 아니라 팀 외 지식공유에도 적극적인 자세를 취하는 것으로 나타났다. 근접중심성이 높은 구성원들은 네트워크 내의 다른 구성원들과 폭넓은 관계를 가지고 있기 때문에 팀 외 지식공유보다는 팀 내 지식공유에 적극적인 자세를 취하는 것으로 입증되었고, 매개중심성이 높은 구성원들은 네트워크 내보다는 네트워크 외부에서 중요한 역할을 하기 때문에 팀 외 지식공유에 적극적인 자세를 취하는 것으로 입증되었다. 네트워크 내에서의 관계를 통하여 자연적으로 형성되어진 위치는 개별 구성원들의 지식공유 의도에 영향을 미치는 것을 실증적으로 검증하였다.

Keywords

References

  1. Argote, L., McEvily, B., and Reagans, R., "Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes," Management Science, Vol. 49, pp. 571-582, 2003. https://doi.org/10.1287/mnsc.49.4.571.14424
  2. Bock, G., Zmud, R. W., Kim, Y., and Lee, J., "Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate," MIS Quarterly, Vol. 29, No. 1, pp. 87-111, 2005. https://doi.org/10.2307/25148669
  3. Brass, D. J. and Burkhardt, M. E., "Centrality and Power in Organizations," In N. Nohria & R. Eccles (Eds.), Networks and Organizations: Structure, Form, and Action, Harvard Business School Press, Boston, MA, pp. 191-215, 1992.
  4. Butler, B. S., "Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures," Information Systems Research, Vol. 12, No. 4, pp. 346-362, 2001. https://doi.org/10.1287/isre.12.4.346.9703
  5. Butler, B., Sproull, L., Kiesler, S., and Kraut, R., "Community Effort in Online Groups: Who Does the Work and Why," Leadership at a Distance: Research in Technologically Supported Work, pp. 171-194, 2002.
  6. Cabrera, A., Collins, W. C., and Salgado, J. F., "Determinants of Individual Engagement in Knowledge Sharing," The International Journal of Human Resource Management, Vol. 17, No. 2, pp. 245-264, 2006. https://doi.org/10.1080/09585190500404614
  7. Carless, S. A., "Person-Job Fit Versus Person-Organization Fit As Predictors Of Organizational Attraction And Job Acceptance Intentions: A Longitudinal Study," Journal of Occupational and Organizational Psychology, Vol. 78, No. 3, pp. 411-429, 2005. https://doi.org/10.1348/096317905X25995
  8. Chai, S. and Kim, M., "A Socio-Technical Approach to Knowledge Contribution Behavior: An Empirical Investigation of Social Networking Sites Users," International Journal of Information Management, Vol. 32, No. 2, pp. 118-126, 2012. https://doi.org/10.1016/j.ijinfomgt.2011.07.004
  9. Chang, H. H. and Chuang, S. S., "Social Capital and Individual Motivations on Knowledge Sharing: Participant Involvement as A Moderator," Information and Management, Vol. 48, No. 1, pp. 9-18, 2011. https://doi.org/10.1016/j.im.2010.11.001
  10. Cho, H., Gay, G., Davidson, B., and Ingraffea, A., "Social Networks, Communication Styles, and Learning Performance in a CSCL Community," Computers & Education, Vol. 49, No. 2, pp. 309-329, 2007. https://doi.org/10.1016/j.compedu.2005.07.003
  11. Chow, W. S. and Chan, L. S., "Social Network, Social Trust and Shared Goals in Organizational Knowledge Sharing," Information & Management, Vol. 45, pp. 458-465, 2008. https://doi.org/10.1016/j.im.2008.06.007
  12. De Toni, A. F. and Nonino, F., "The Key Roles in the Informal Organization: A Network Analysis Perspective," The Learning Organization, Vol. 17, No. 1, pp. 86-103, 2010. https://doi.org/10.1108/09696471011008260
  13. De Vries, R. E., Van den Hooff, B., and de Ridder, J. A., "Explaining Knowledge Sharing The Role Of Team Communication Styles, Job Satisfaction, And Performance Beliefs," Communication Research, Vol. 33, No. 2, pp. 115-135, 2006. https://doi.org/10.1177/0093650205285366
  14. Dogan, S. Z., Arditi, D., Gunhan, S., and Erbasaranoglu, B., "Assessing Coordination Performance Based on Centrality in an e-Mail Communication Network," Journal of Management in Engineering, Vol. 29, 2013.
  15. Freeman, L. C., "Centrality in Social Networks-Conceptual Clarification," Social Networks, Vol. 1, No. 3, pp. 215-239, 1979. https://doi.org/10.1016/0378-8733(78)90021-7
  16. Gallivan, M. J., Spitler, V. K., and Koufaris, M., "Does Information Technology Training Really Matter? A Social Information Processing Analysis Of Coworkers' Influence On It Usage In The Workplace," Journal of Management Information Systems, Vol. 22, No. 1, pp. 153-192, 2005. https://doi.org/10.1080/07421222.2003.11045830
  17. Gruenfeld, D. H., Mannix, E. A., Williams, K. Y., and Neale, M. A., "Group Composition and Decision Making: How Member Familiarity and Information Distribution Affect Process and Performance," Orga nizational Behavior and Human Decision Processes, Vol. 67, No. 1, pp. 1-15, 1996. https://doi.org/10.1006/obhd.1996.0061
  18. Gupta, A. K. and Govindarajan, V., "Knowledge Management's Social Dimension: Lessons from Nucor steel," Sloan Management Review. Vol. 42, No. 1, pp. 71-80, 2000.
  19. He, W. and Wei K., "What Drives Continued Knowledge Sharing? An Investigation of Knowledge-Contribution and -Seeking Beliefs," Decision Support Systems, Vol. 46, pp. 826-838, 2009. https://doi.org/10.1016/j.dss.2008.11.007
  20. Hooff, B. and Huysman, M., "Managing Knowledge Sharing: Emergent and Engineering Approaches," Information and Management, Vol. 46, pp. 1-8, 2009. https://doi.org/10.1016/j.im.2008.09.002
  21. Huffaker, D., "Dimensions of Leadership and Social Influence in Online Communities," Human Communication Research, Vol. 36, No. 4, pp. 593-617, 2010. https://doi.org/10.1111/j.1468-2958.2010.01390.x
  22. Krackhardt, D., "Assessing the Political Landscape: Structure, Cognition, and Power in Organizations," Administrative Science Quarterly, Vol. 35, pp. 342-369, 1990. https://doi.org/10.2307/2393394
  23. Kristof-Brown, A. L., Zimmerman, R. D., and Johnson, E. C., "Consequences Of Individuals' Fit At Work: A Meta-Analysis Of Person-Job, Person-Organization, Person-Group, And Person-Supervisor Fit. Personnel psychology," Vol. 58, No. 2, pp. 281-342, 2005. https://doi.org/10.1111/j.1744-6570.2005.00672.x
  24. Latora, V. and Marchiori, M., "A Measure of Centrality Based on The Network Efficiency," New Journal of Physics, Vol. 9, No. 6, pp. 1-16, 2008.
  25. Lauver, K. J. and Kristof-Brown, A., "Distinguishing Between Employees' Perceptions of Person-Job and Person-Organization Fit," Journal of Vocational Behavior, Vol. 59, No. 3, pp. 454-470, 2001. https://doi.org/10.1006/jvbe.2001.1807
  26. Lee, J., Kim, E., and Ahn, J., "The Effects of Individual and Social Factors on The Knowledge Sharing Activities of The Virtual Community of Practice," The Journal of Society for e-Business Studies, Vol. 17, No. 2, pp. 23-38, 2014. https://doi.org/10.7838/jsebs.2012.17.2.023
  27. Lu, Y., Jerath, K., and Singth, P., "The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation," Management Science, Vol. 59, No. 8, pp. 1783-1879, 2013. https://doi.org/10.1287/mnsc.1120.1685
  28. Nunnally, J. C. and Bernstein, I. H., "The Assessment of Reliability," Psychometric Theory, Vol. 3, No. 1, pp. 248-292, 1994.
  29. Ruggles, R., "The State of the Notion: Knowledge Management in Practice," California Management Review, Vol. 40, No. 3, pp. 80-89, 1998. https://doi.org/10.2307/41165944
  30. Song, S., Nerur, S., and Teng, J. T., "An Exploratory Study on the Roles of Network Structure and Knowledge Processing Orientation in Work Unit Knowledge Management," ACM SIGMIS Database, Vol. 38, No. 2, pp. 8-26, 2007. https://doi.org/10.1145/1240616.1240620
  31. Sung, K., Kim, T., Jahng, J., and Ahn, J., "The Effect of Personal Characteristics and User Involvement on Knowledge Sharing in the Knowledge-Exchange Website Context," The Journal of Society for e-Business Studies, Vol. 14, No. 4, pp. 229-253, 2009.
  32. Tortoriello, M., Reagans, R. and McEvily, B., "Bridging the Knowledge Gap: The Influence of Strong Ties, Network Cohesion, and Network Range on the Transfer of Knowledge between Organizational Units," Organization Science, Vol. 23, No. 4, pp. 1024-1039, 2012. https://doi.org/10.1287/orsc.1110.0688
  33. Wang, S., Noe, R. A., and Wang, Z. M., "Motivating Knowledge Sharing in Knowledge Management Systems: A Quasi-Field Experiment," Journal of Management, Vol. 40, No. 4, pp. 978-1009, 2014. https://doi.org/10.1177/0149206311412192
  34. Wasko, M. M. and Faraj, S., "Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice," MIS Quarterly, Vol. 29, No. 1, pp. 35-57, 2005. https://doi.org/10.2307/25148667
  35. Wasserman, S. and Faust, K., Social Network Analysis: Methods and Applications, Cambridge University Press, 1994.
  36. Wong, K. Y., "Critical Success Factors for Implementing Knowledge Management in Small and Medium Enterprise," Industrial Management & Data Systems, Vol. 105, No. 3, pp. 261-279, 2005. https://doi.org/10.1108/02635570510590101
  37. Yang, E. and Ding, Y., "Applying Centrality Measures to Impact Analysis: A Coauthorship Network Analysis," Journal of the Association for Information Science and Technology, Vol. 60, No. 10, pp. 2107-2118, 2009. https://doi.org/10.1002/asi.21128

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