Effect of Incentives on Knowledge Sharing and Learning – Evidence from the Indian IT Sector
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.
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:69231", author = "Asish O. Mathew and Lewlyn L. R. Rodrigues", title = "Effect of Incentives on Knowledge Sharing and Learning – Evidence from the Indian IT Sector", 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.", volume = "9", number = "3", pages = "773-6", }
