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Impact of Knowledge Management Practices on Task Knowledge: An Individual Level Study

Published: 01 October 2011 Publication History

Abstract

Organizational level studies of knowledge management have been hampered by the lack of measures of individual level knowledge management practices and outcomes that can be used as success criteria to determine whether, or to what degree, specific organizational knowledge management practices enhance individual knowledge creation, sharing, and application at the individual level. This paper explores how the knowledge management practices of individuals are related to the task knowledge they use to complete their work processes. The measures presented can be used as one way to evaluate the success of organizational knowledge management practices. Specifically, the paper explores the individual practices of knowledge creation, knowledge sharing, and knowledge application and how these practices are related to the task knowledge conceptual, contextual, and operational knowledge of individuals. A model of the relationships among knowledge management practices and task knowledge components is proposed and tested. Structural equation modeling is used. Results suggest that engaging in knowledge creation enhances an individual's task knowledge through the practices of sharing and applying knowledge. Knowledge sharing and application enhance operational knowledge indirectly through changes in conceptual and contextual knowledge.

References

[1]
Agarwal, R., Krudys, G., & Tanniru, M. 1997. Infusing learning into an information systems organization. European Journal of Information Systems, 61, 25-40.
[2]
Alavi, M., & Leidner, D. E. 2001. Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. Management Information Systems Quarterly, 251, 107-133.
[3]
Anderson, J. C., & Gerbing, D. W. 1988. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 1033, 411-423.
[4]
Argyris, C., & Schon, D. A. 1996. Organization learning II: Theory, method and practice. Reading, MA: Addison-Wesley.
[5]
Bagozzi, R. P., & Phillips, L. W. 1982. Representing and testing organizational theories: A holistic construal. Administrative Science Quarterly, 273, 459-489.
[6]
Bagozzi, R. P., Yi, Y., & Phillips, L. W. 1991. Assessing construct validity in organizational research. Administrative Science Quarterly, 363, 421-458.
[7]
Bandura, A. 1981. Self-referent thought: A developmental analysis of self-efficacy. In Flavell, J. H., & Ross, L. Eds., Social cognitive development: Frontiers and possible futures pp. 200-239. Cambridge, UK: Cambridge University Press.
[8]
Blau, P. M. 1964. Exchange and power in social life. New York, NY: W. H. Freeman.
[9]
Brezillon, P., & Pomerol, J. 1999. Contextual knowledge sharing and cooperation in intelligent assistant systems. Le Travail Humain, 62, 223-246.
[10]
Brown, J. S., & Duguid, P. 1991. Organizational learning and communities of practice: Toward a unified view of working, learning, and innovation. Organization Science, 21, 40-57.
[11]
Cabrera, E. F., & Cabrera, A. 2005. Fostering knowledge sharing through people management practices. International Journal of Human Resource Management, 165, 720-735.
[12]
Chilton, M. A., & Bloodgood, J. M. 2008. Adaption-innovation theory and cognitive diversity: The impact of knowledge use within organizations. In Proceedings of the 41st Hawaii International Conference on System Sciences p. 343.
[13]
Cho, S., Lee, W. J., & Kim, J. 2007. Classification of knowledge areas/hierarchies and its implications in mass customization: An exploratory study. Journal of Information & Knowledge Management, 61, 45-55.
[14]
Churchill, G. A. J. 1979. A paradigm for developing better measures of marketing constructs. JMR, Journal of Marketing Research, 5, 64-73.
[15]
Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
[16]
Davenport, T. H., & Prusak, L. 2000. Working knowledge: How organizations manage what they know. Ubiquity, 124, 2.
[17]
Dhaliwal, J., & Benbasat, I. 1996. The use and effects of knowledge-based system explanations: Theoretical foundations and a framework for empirical evaluation. Information Systems Research, 73, 342-362.
[18]
Drucker, P. F. 1999. Knowledge-worker productivity: The biggest challenge. California Management Review, 412, 79-94.
[19]
Fornell, C., & Larcker, D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. JMR, Journal of Marketing Research, 181, 39-50.
[20]
Garud, R. 1997. On the distinction between know-how, know-what and know-why. Advances in Strategic Management, 81-101.
[21]
Gasson, S. 2005. The dynamics of sensemaking, knowledge, and expertise in collaborative, boundary-spanning design. Journal of Computer-Mediated Communication, 104.
[22]
Ghiselli, E. E., Campbell, J. P., & Zedeck, S. 1981. Measurement theory for the behavioral sciences. New York, NY: W. H. Freeman.
[23]
Grant, R. M. 1996. Toward a knowledge-based theory of the firm. Strategic Management Journal, 17, 109-122.
[24]
Grover, V., & Davenport, T. H. 2001. General perspectives on knowledge management: Fostering a research agenda. Journal of Management Information Systems, 181, 5-21.
[25]
Guo, Z., & Sheffield, J. 2006. A paradigmatic and methodological examination of KM research: 2000 to 2004. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences pp. 1530-1605.
[26]
Hendriks, P. 1999. Why share knowledge? The influence of ICT on the motivation for knowledge sharing. Knowledge and Process Management, 6, 91-100.
[27]
Huber, G. P. 1991. Organizational learning: The contributing processes and the literatures. Organization Science, 21, 88-116.
[28]
Janz, B. D., & Prasarnphanich, P. 2005. Understanding knowledge creation, transfer, and application: Investigating cooperative, autonomous systems development teams. In Proceedings of the 38th Annual Hawaii International Conference on System Sciences p. 248a.
[29]
Jennex, M. E., & Olfman, L. 2005. Assessing knowledge management success. International Journal of Knowledge Management, 12, 33-49.
[30]
Johnson, B., Lorenz, E., & Lundvall, B. A. 2002. Why all this fuss about codified and tacit knowledge? Industrial and Corporate Change, 112, 245-262.
[31]
Johnson-Laird, P. N. 1983. Mental models: Towards a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.
[32]
Kim, D. H. 1993. The link between individual and organizational learning. Sloan Management Review, 351, 37-51.
[33]
Kogut, B., & Zander, U. 1992. Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science, 33, 383-398.
[34]
Kolb, D. A. 1984. Experiential learning: Experience as the source of learning and development. Upper Saddle River, NJ: Prentice Hall.
[35]
Lave, J., & Wenger, E. 1991. Situated learning: Legitimate peripheral participation. Cambridge, UK: Cambridge University Press.
[36]
MacCarthy, J. 1993. Notes on formalizing context. In Proceedings of the 13th International Joint Conference on Artificial Intelligence, Chambéry, France pp. 555-560.
[37]
Machlup, F. 1980. Knowledge and knowledge production. In Boulding, K. E. Ed., Knowledge: Its creation, distribution, and economic significance Vol. 1. Princeton, NJ: Princeton University Press.
[38]
Marsh, H. W., & Hocevar, D. 1985. Application of confirmatory factor-analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups. Psychological Bulletin, 973, 562-582.
[39]
Maslow, A. 1971. The farther reaches of human nature. New York, NY: Viking Press.
[40]
Muhammed, S., Doll, W., & Deng, X. 2009. A model of interrelationships among individual level knowledge management success measures. International Journal of Knowledge Management, 51, 1-16.
[41]
Netemeyer, R. G., Bearden, W. O., & Sharma, S. 2003. Scaling procedures: Issues and applications. Thousand Oaks, CA: Sage.
[42]
Nevis, E. C., DiBella, A. J., & Gould, J. M. 1995. Understanding organizations as learning systems. Sloan Management Review, 362, 73-85.
[43]
Nonaka, I. 1994. A dynamic theory of organizational knowledge creation. Organization Science, 51, 14-24.
[44]
Nonaka, I., & Takeuchi, H. 1995. The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York, NY: Oxford University Press.
[45]
Pearlson, K. E., & Saunders, C. S. 2004. Managing and using information systems: A strategic approach. Hoboken, NJ: John Wiley & Sons.
[46]
Pedhazur, E., & Schmelkin, L. 1991. Measurement, design and analysis: An integrated approach. Mahwah, NJ: Lawrence Erlbaum.
[47]
Pentland, B. T. 1995. Grammatical models of organizational processes. Organization Science, 65, 541-556.
[48]
Pfeffer, J., & Sutton, R. I. 1999. Knowing 'what' to do is not enough: Turning knowledge into action. California Management Review, 421, 83-109.
[49]
Ping, R. A. J. 2004. On assuring valid measures for theoretical models using survey data. Journal of Business Research, 57, 125-141.
[50]
Pomerol, J.-Ch., & Brezillon, P. 2002 Proceduralization of the contextual knowledge for decision making. In Proceedings of the 14th Mini-Euro Conference on Human Centered Processes pp. 139-147.
[51]
Rulke, D. L., & Galaskiewicz, J. 2000. Distribution of knowledge, group network structure, and group performance. Management Science, 465, 612-625.
[52]
Schultze, U., & Leidner, D. 2002. Studying knowledge management in information systems research: Discourses and theoretical assumptions. Management Information Systems Quarterly, 263, 213-242.
[53]
Senge, P. M. 1990. The leader's new work: Building learning organizations. Sloan Management Review, 321, 7-23.
[54]
Simon, H. A. 1991. Bounded rationality and organizational learning. Organization Science, 21, 125-134.
[55]
Smith, T. W. 1983. The hidden 25 percent: An analysis of nonresponse on the 1980 general social survey. Public Opinion Quarterly, 473, 386-404.
[56]
Teece, D. 2004. Knowledge and competence as strategic assets. In Holsapple, C. W. Ed., Handbook on knowledge management: Knowledge matters pp. 129-152. Boston, MA: Birkhäuser.
[57]
von Hippel, E. 1994. "Sticky information" and the locus of problem solving: Implications for innovation. Management Science, 404, 429-439.
[58]
Weick, K. E. 1995. Sensemaking in organizations. Thousand Oaks, CA: Sage.
[59]
Wenger, E., & Snyder, W. 2000. Communities of practice: The organizational frontier. Harvard Business Review, 781, 139-145.
[60]
Wiig, K., & Jooste, A. 2004. Chapter 45: Exploiting knowledge for productivity gains. In C. W. Holsapple Eds., Handbook on knowledge management vol. 2: Knowledge directions pp. 289-308. New York, NY: Springer Science and Business Media.
[61]
Wineburg, S. 1997. Beyond "breadth and depth": Subject matter knowledge and assessment. Theory into Practice, 364, 255-261.

Cited By

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  • (2018)Multi-Group Moderation Analysis for Relationship between Knowledge Sharing Orientation and Business PerformanceInternational Journal of Knowledge Management10.4018/ijkm.201407010310:3(36-53)Online publication date: 16-Dec-2018

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Published In

cover image International Journal of Knowledge Management
International Journal of Knowledge Management  Volume 7, Issue 4
October 2011
84 pages
ISSN:1548-0666
EISSN:1548-0658
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IGI Global

United States

Publication History

Published: 01 October 2011

Author Tags

  1. Conceptual Knowledge
  2. Contextual Knowledge
  3. Knowledge Application
  4. Knowledge Creation
  5. Knowledge Management Practices
  6. Knowledge Sharing
  7. Operational Knowledge
  8. Structural Equation Modeling
  9. Task Knowledge

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  • (2018)Multi-Group Moderation Analysis for Relationship between Knowledge Sharing Orientation and Business PerformanceInternational Journal of Knowledge Management10.4018/ijkm.201407010310:3(36-53)Online publication date: 16-Dec-2018

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