Effect of Incentives on Knowledge Sharing and Learning – Evidence from the Indian IT Sector

Authors: Asish O. Mathew, Lewlyn L. R. Rodrigues

Abstract:

The organizations in the knowledge economy era have recognized the importance of building knowledge assets for sustainable growth and development. In comparison to other industries, Information Technology (IT) enterprises, holds an edge in developing an effective Knowledge Management (KM) programmethanks to their in-house technological abilities. This paper tries to study the various knowledge based incentive programmes and its effect on Knowledge Sharing and Learning in the context of the Indian IT sector. A conceptual model is developed linking KM Incentives, Knowledge Sharing and Learning. A questionnaire study is conducted to collect primary data from the knowledge workers of the IT organizations located in India. The data was analysed using Structural Equation Modeling using Partial Least Square method. The results show a strong influence of knowledge management incentives on knowledge sharing and an indirect influence on learning.

Keywords: Knowledge Management, Knowledge Management Incentives, Knowledge Sharing, Learning.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1099628

References:

[1] Liebowitz, J. (1999). Key ingredients to the success of an organization’s knowledge management strategy. Knowledge and Process Management, 6(1), 37–40.
[2] Singh, A., &Soltani, E. (2010). Knowledge management practices in Indian information technology Companies. Total Quality Management, 21(2), 145–157.
[3] Shirazi, A., Mortazavi, S., & Azad, N. P. (2011). Factors Affecting Employees’ Readiness for Knowledge Management. European Journal of Economics, Finance and Administrative Sciences, 33, 167-177.
[4] Redman, T. C. (1998). The Impact of Poor Data Quality on the Typical Enterprise. Communications of the ACM, 41 (2), 79-82.
[5] Davenport, T.H., DeLong, D.W., & Beers, M.C. (1998). Successful Knowledge Management Projects. Sloan Management Review, 39(2), 43–57.
[6] Alavi, M., &Leidner, D. E. (1999). Knowledge management systems: Emerging views and practices from the field. In Proceedings of the 32nd Hawaii International Conferenceon System Sciences.
[7] Ginsberg, M., &Kambil, A. (1999). Annotate: A Web-based Knowledge Management Support System for Document Collections. In proceedings of the32nd Hawaii International Conference on System Sciences, IEEE Computer Society Press.
[8] Cross, R., & Baird, L. (2000). Technology is not enough: Improving performance by building organizational memory, Sloan Management Review, 41(3), 41-54.
[9] Jennex, M. E., &Olfman, L. (2000). Development recommendations for knowledge management/organizational memory systems. In Proceedings of the Information Systems Development Conference 2000.
[10] Malhotra, Y., &Galletta, D. (2003). Role of commitment and motivation in knowledge management systems implementation: Theory, conceptualization, and measurement of antecedents of success, In Proceedings of the Hawaii International Conference on Systems Science, Hawaii.
[11] Yu, S.H., Kim, Y.G., and Kim, M.Y. (2004). “Linking Organizational Knowledge Management Drivers to Knowledge Management Performance: An Exploratory Study”, 37th Hawaii International Conference on System Sciences, HICSS36, IEEE Computer Society.
[12] Ekbia, H.R., & Hara, N. (2005). Incentive Structures in Knowledge Management. In: D.G. Schwartz (ed.), Encyclopedia of Knowledge Management, Idea Group, Hershey, 2005.
[13] Hendriks, P, H, J., & Sousa, C, A, A. (2005). Motivation for Knowledge Work. In: D.G. Schwartz (ed.), Encyclopedia of Knowledge Management, Idea Group, Hershey, 2005.
[14] Tampoe, M. (1993). “Motivating knowledge workers—the challenge for the 1990s”, Long Range Planning, 26(3), 49-55.
[15] Shalley, C.E., and Gilson, L.L. (2004). “What leaders need to know: A review of social and contextual factors that can foster or hinder creativity”, Leadership Quarterly, 15(1), 33-53.
[16] Osterloh, M., and Frey, B.S. (2000). “Motivation, knowledge transfer, and organizational forms”, Organization Science, 11(5), 538-550.
[17] McKenzie, J., Truc, A., and Winkelen, C.V. (2001). “Winning commitment for knowledge management initiatives”, Journal of Change Management, 2(2), 115-127.
[18] Sage, A.P., and Rouse, W.B. (1999). “Information Systems Frontiers in Knowledge Management”, Information Systems Frontiers, 1(3), 205- 219.
[19] Choi, Y. S. (2000). An empirical study of factors affecting successful implementation of knowledge management. Doctoral dissertation, The University of Nebraska, Lincoln. Retrieved from http://digitalcommons.unl.edu/dissertations/AAI9991981
[20] Nan, N. (2009). A principal-agent model for incentive design in knowledge sharing. Journal of Knowledge Management, 12(3), 101-113.
[21] Zhang, Z., &Jasimuddin, S. M. (2012). Knowledge market in organizations: incentive alignment and IT support. Industrial Management & Data Systems, 112(7), 1101-1122.
[22] Almahamid,S., McAdams, A. C., and Kalaldeh, T. (2010). The Relationships among Organizational Knowledge Sharing Practices: An Empirical Investigation of the Listed Manufacturing Companies in Jordan. Interdisciplinary Journal of Information, Knowledge, and Management, 5, 337-56.
[23] Kamasak, R., &Bulutlar, F. (2010). The influence of knowledge sharing on innovation. European Business Review, 22(3), 306-317.
[24] Finstad, K. (2010). “Response Interpolation and Scale Sensitivity: Evidence against 5-Point Scales”, Journal of Usability Studies, 5(3), 104-110.
[25] Cooper, D. R., and Emory, C. W. (1995). “Business Research Methods”, (5th ed.), New York: McGraw-Hill
[26] Vinzi et al., 201
[27] Wong, K. K. (2010). Handling small survey sample size and skewed dataset with partial least square path modelling. Vue: The Magazine of the Marketing Research and Intelligence Association, November, 20-23.
[28] Venkatesh, V., Thong, J. Y., &Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178.
[29] Chan, F. K., Thong, J. Y., Venkatesh, V., Brown, S. A., Hu, P. J., & Tam, K. Y. (2010). Modeling citizen satisfaction with mandatory adoption of an e-government technology. Journal of the Association for Information Systems,11(10), 519-549.
[30] Fornell, C., &Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
[31] Thong, J. Y. (2001). Resource constraints and information systems implementation in Singaporean small businesses. Omega, 29(2), 143- 156.
[32] Lee, V. H., Ooi, K. B., Chong, A. Y. L., &Seow, C. (2014). Creating Technological Innovation via Green Supply Chain Management: An Empirical Analysis. Expert Systems with Applications.