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Influence of Theories on Factors Affecting Knowledge Sharing


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1 Department of Library and Information Science, University of Mysore, Manasagangotri, Mysore, Karnataka, India
 

Knowledge is an essential resource far an individual or organization. While knowledge sharing is an important human daily activity to create opportunities in maximizing employees' innovation in organization to achieve performance or to grow individually, Knowledge sharing is the process of transferring knowledge from a person to another in organization. However, previous studies have indicated that employees are refused to share knowledge. Many factors influencing knowledge sharing were identified to solve the problem. Critical reviews on factors affecting knowledge sharing; individual, organization and technology factors are frequent mentioned in literature. Thus, this study proposes a conceptual model that takes into consideration the three factors and related theories to support the constructs in developing a fit knowledge sharing model. This study will improve the understanding on theories, factors affecting knowledge sharing. For the paradigm model of theory, the concepts were drawn from the causal condition, contextual condition, main context, intervening condition, interaction strategy and result. In this study, the process of development through the sharing of experience' is identified as being the key category. The study suggests how to improve the quality of the knowledge concerned, organize such knowledge and/or advance its utilization and sharing.

Keywords

Knowledge Sharing, Influence Factors and Theories.
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  • Andrew; Arvind and Segars. (2001). Knowledge management: An organizational capabilities rerspective. Journal of Management Information Systems, 18(1), 185-214.
  • Bartol, K. M, and Srivastava, A. (2002). Encouraging knowledge sharing: The role of organizational reward systems. Journal of Leadership and Organizational Studies, 9(1), 64-76.
  • Bock, G. W., et al. (2005) Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87-111.
  • Bock, G W., ans Kim, Y. G (2002), Breaking the myths of rewards: An exploratory study of attitudes about knowhdge sharing. Information Resources Management Journal, 14-21.
  • Cohen, W. M. and Levinthal, D. A. (1990). Absorptive capacity; A new perspective on learning and innovation, Administrative Science Quarterly. 35(1), 128-152.
  • Drucker, P. (1993). Post Capital Society, Butterworth-Heinemen, Oxford.
  • Eccles, M. P., et al (2006). Do self-reported intentions predict clinicians' behaviour; a systematic review. Implement Sci, 28(1).
  • Gagne, M. (July/August, 2009). A model of knowledge-sharing motivation. Human Resource Management, 48(4), 571-589,
  • Glanz. K.; Lewis, F.M, and Rimer, B.K. (1997). Health Behavior and Health Education: Theory, Research and Practice. 2nd edn. Jossey-Bass, San Francisco,CA, 19-35.
  • Goh, S. C. (2002). Managing effective knowledge transfer; an integrative framework and some practice implication. Journal of Knowledge Management, 6(1), 23-30.
  • Kankanhalli, A.; Tan. B, C, Y. and Wei. K, K. (2005). Contributing knowledge to electronic knowledge repositories; an empirical investigation. MIS Quarterly, 29, (1), 113-143.
  • Kim, S. and Lee, H. (2006). The impact of organizational context and information technology on employee knowledge-sharing capabilities. Social Science Journal, 66 (3), 370-385.
  • Liang, T. P.; Liu, C.C, and Wu, C. H. (2008). Can social exchange theory explain individual knowledge sharing behavior? A meta-analysis. [Available at; http://www.whiceb.com/download/whiceb2008/seminar/Ting-Peng%20Liang.pdf.].
  • Lin, H. F. (2007). Knowledge sharing and firm innovation capability: an empirical study. International journal Of Manpower, 28 (3/4), 315-332.
  • McDermott, R. and O'Dell, C. (2000). Overcoming cultural barriers to sharing knowledge. Journal of Knowledge Management, 5(1), 76-85.
  • Nonaka, I. (2004). A dynamic theory of organizational knowledge creation. In. Starkey, K, Tempest, S. & McKinlay, A How Organization Learn. Manging the Search for Knowledge, 165-201. Ed.2. London: Thomson Learning.
  • Orlikowski, W. J. (1992). The duality of technology: Rethinking the concept of technology in Organizations, Organization Science, 3(3), 398-427.
  • Park, H. S. and Im, B. C. (2003). A study on the Knowledge Sharing Behavior of Local Public Servants in Korea. [Available at: http://www.kapa21.or.kr/down/2003.(Accessed on 10-03-2012)].
  • Perkins, M. B., et al (2007). Applying theory-driven approaches to understanding and modifying clinicians' behavior: what do we know PsychiatrServ, 58,342-348.
  • Riege, A. (2003). Three-dozen knowledge sharing barriers managers must consider. Journal of Knowledge Management, 9 (3), 18-35.
  • Senge, P. M., (1990). The fifth discipline: the art and practice of the learning organization. New York: Curmcy/Doubleday.
  • Skyrme, D, J. (1998). Virtual Ernst; A key ingradients of successful knowledge sharing, [Available at: http://www,skyrme.com/updates/ul9.htm. (Accessed on 19-03-2012)].
  • Smith, H. and McKeen, J, (2003). Knowledge management in organizations: the state of current practice in Handbook on Knowledge Management, C. W. Holsapple (Ed.). Springer-Verlag, New York.
  • Syed Ikhsan, S.O.S. and Rowland, F. (2004). Benchmarking knowledge management in a public organization in Malaysia, Benchmarking: An International Journal, 11 (3): 238-266.
  • Van den Brink, P (2003), Social, Organizational and Technological Conditions That Enable Knowledge Sharing, PhD thesis, University of Amsterdam, Holland.
  • Wang, S. and Noe, R. A. (2010, June). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131.
  • Wang, S. and Noe, R, A. (2009). Knowledge sharing: a review and directions for future research. Expert Systems With Applications, 20 (2). 115-131.
  • Wasko, M. M. a.d Faraj. S. (2005) Why should I share? Examining social capital and knowledge contnbntion in electronic networks of practice, MIS Quarterly, 29, (1), 35-57.
  • Willcoxson, L. (2003). Creating the HRM context for knowledge management, in Human resource management; challenges and future directions. B Millett & R Wiesner (eds.), John Wiley & Sons, Australia,
  • Yang, J. T. (2004). Job-related knowledge sharing: comparative case studies. Journal of Knowledge Management, 8(3), 118-126.
  • Yu, A.Y. and Khalifa, M. (2007). A Conceptual Model for Enhancing Intra-Group Knowledge Sharing, "City University of Hong Kong, China. Sprouts: Working Papers on Information Systems, 7(15). [Available at: http://sprouts.aisnet.org/7-15].

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  • Influence of Theories on Factors Affecting Knowledge Sharing

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Authors

K. Ashwini
Department of Library and Information Science, University of Mysore, Manasagangotri, Mysore, Karnataka, India
N. S. Harinarayana
Department of Library and Information Science, University of Mysore, Manasagangotri, Mysore, Karnataka, India

Abstract


Knowledge is an essential resource far an individual or organization. While knowledge sharing is an important human daily activity to create opportunities in maximizing employees' innovation in organization to achieve performance or to grow individually, Knowledge sharing is the process of transferring knowledge from a person to another in organization. However, previous studies have indicated that employees are refused to share knowledge. Many factors influencing knowledge sharing were identified to solve the problem. Critical reviews on factors affecting knowledge sharing; individual, organization and technology factors are frequent mentioned in literature. Thus, this study proposes a conceptual model that takes into consideration the three factors and related theories to support the constructs in developing a fit knowledge sharing model. This study will improve the understanding on theories, factors affecting knowledge sharing. For the paradigm model of theory, the concepts were drawn from the causal condition, contextual condition, main context, intervening condition, interaction strategy and result. In this study, the process of development through the sharing of experience' is identified as being the key category. The study suggests how to improve the quality of the knowledge concerned, organize such knowledge and/or advance its utilization and sharing.

Keywords


Knowledge Sharing, Influence Factors and Theories.

References





DOI: https://doi.org/10.32344/jld%2Fv1%2Fi1%2F2015%2F33-39