Exploring Impact of Individual Network Position toward Knowledge Sharing Intention

Soonhan Bae, SeungIk Baek

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.


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References


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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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, 2013.

Freeman, L. C., “Centrality in Social Networks-Conceptual Clarification,” Social Networks, Vol. 1, No. 3, pp. 215-239, 1979.

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.

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,” Organizational Behavior and Human Decision Processes, Vol. 67, No. 1, pp. 1-15, 1996.

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.

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.

Hooff, B. and Huysman, M., “Managing Knowledge Sharing: Emergent and Engineering Approaches,” Information and Management, Vol. 46, pp. 1-8, 2009.

Huffaker, D., “Dimensions of Leadership and Social Influence in Online Communities,” Human Communication Research, Vol. 36, No. 4, pp. 593-617, 2010.

Krackhardt, D., “Assessing the Political Landscape: Structure, Cognition, and Power in Organizations,” Administrative Science Quarterly, Vol. 35, pp. 342-369, 1990.

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.

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.

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.

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.

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.

Nunnally, J. C. and Bernstein, I. H., “The Assessment of Reliability,” Psychometric Theory, Vol. 3, No. 1, pp. 248-292, 1994.

Ruggles, R., “The State of the Notion: Knowledge Management in Practice,” California Management Review, Vol. 40, No. 3, pp. 80-89, 1998.

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.

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.

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.

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.

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.

Wasserman, S. and Faust, K., Social Network Analysis: Methods and Applications, Cambridge University Press, 1994.

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.

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.


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