Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Journal of Information Science
This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Lin, H.-F.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A stage model of knowledge management: an empirical investigation of process and effectiveness

Hsiu-Fen Lin

Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan, Republic of China, hflin{at}mail.ntou.edu.tw

Knowledge management (KM) is now widely recognized to be important to the success or failure of business management. Seeking to better understand the determinants of the evolution of KM, this study focuses on two main problems: (1) whether firms change their KM processes over time to improve KM effectiveness as well as develop their KM practices, and (2) whether socio-technical support results in more mature KM practices. This study draws on the previous literature to identify key dimensions of KM process (knowledge acquisition, knowledge conversion, knowledge application and knowledge protection), KM effectiveness (individual-level and organizational-level KM effectiveness) and socio-technical support (organizational support and information technology diffusion). The evolution of these dimensions is studied in the form of a stage model of KM that includes initiation, development, and mature stages. Data gathered from 141 senior executives in large Taiwanese organizations were employed to test the propositions. The results show that different stages of KM evolution can be distinguished across dimensions of KM process, KM effectiveness, and socio-technical support. Implications for organizations are also discussed.

Key Words: Knowledge management • stage model • socio-technical support • empirical study

References

  • C.C. Lee and J. Yang, Knowledge value chain, Journal of Management Development 19(9) (2000) 783—93.[CrossRef]
  • R. Jones, Measuring the benefits of knowledge management at the Financial Services Authority: a case study, Journal of Information Science 29(6) (2003) 475—87.[Abstract]
  • Y. Jarrar, Knowledge management: learning for organizational experience, Managerial Auditing Journal 17(6) (2002) 322—8.[CrossRef]
  • I. Nonaka, A dynamic theory of organizational knowledge creation, Organization Science 15(1) (1994) 14—37.
  • M. Horwitch and R. Armacost, Helping knowledge management be all it can be, Journal of Business Strategy 23(3) (2002) 26—31.
  • I. Nonaka and H. Takeuchi, The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation (Oxford University Press, New York, 1995).
  • G.D. Bhatt, Knowledge management in organizations: examining the interaction between technologies, techniques, and people, Journal of Knowledge Management 5(1) (2001) 68—75.[CrossRef]
  • A.H. Gold, A. Malhotra and A.H. Segars, Knowledge management: an organizational capabilities perspective, Journal of Management Information Systems 18(1) (2001) 185—214.[Web of Science]
  • A.S. Cui, D.A. Griffith and S.T. Cavusgil, The influence of competitive intensity and market dynamism on knowledge management capabilities of multinational corporation subsidiaries, Journal of International Marketing 13(3) ( 2005) 32—53.[CrossRef][Web of Science]
  • T.L. Ju, B. Lin and H.J. Kuo, TQM critical factors and KM value chain activities, Total Quality Management and Business Excellence 17(3) (2006) 373—93.[CrossRef]
  • H.F. Lin and G.G. Lee, Impact of organizational learning and knowledge management factors on e-business adoption, Management Decision 43(2) ( 2005) 171—88.[CrossRef]
  • W. Cohen and D. Levinthal, Absorptive capacity: a new perspective on learning and innovation, Administrative Science Quarterly 35(1) (1990) 128—52.[CrossRef][Web of Science]
  • S.A. Zahra and G. George, Absorptive capacity: a review, reconceptualization, and extension, Academy of Management Review 27(2) (2002) 185—203.[CrossRef][Web of Science]
  • A. Inkpen and A. Dinur, Knowledge management processes and international joint ventures, Organization Science 9(4) (1998) 454—68.[Abstract/Free Full Text]
  • G.P. Huber, Organizational learning: the contributing processes and literatures, Organization Science 2(1) (1991), 88—114.[Abstract/Free Full Text]
  • C. O'Dell and C. Grayson, If only we knew what we know: identification and transfer of internal best practices, California Management Review 40(3) (1998) 154—74.[Web of Science]
  • A. Kankanhalli, B.C.Y. Tan and K.K. Wei, Understanding seeking from electronic knowledge repositories: an empirical study, Journal of the American Society for Information Science and Technology 56(11) (2005) 1156—66.[CrossRef][Web of Science]
  • T. Davenport and P. Klahr, Managing customer support knowledge, California Management Review 40(3) (1998) 195—208.[Web of Science]
  • R. Bose, Knowledge management capabilities and infrastructure for e-commerce, Journal of Computer Information Systems 42(5) (2002) 40—49.[Web of Science]
  • G. Widen-Wulff and M. Ginman, Explaining knowledge sharing in organizations through the dimensions of social capital, Journal of Information Science 30(5) (2004) 448—58.[Abstract]
  • J. Proter-Liebskind, Knowledge, strategy, and the theory of the firm, Strategic Management Journal 17(2) (1996) 93—107.[Web of Science]
  • B. Kogut and U. Zander, Knowledge of the firm, combinative capabilities, and the replication of technology, Organization Science 3(3) (1992) 383—97.[Abstract/Free Full Text]
  • R.M. Grant, Prospering in dynamically-competitive environments: organizational capability as knowledge integration, Organization Science 7(4) (1996) 375—87.[Abstract/Free Full Text]
  • I. Becerra-Fernandez and R. Sabherwal, Organizational knowledge management: a contingency perspective, Journal of Management Information Systems 18(1) (2001) 23—55.
  • M.Y. Chen and A.P. Chen, Integrating option model and knowledge management performance measures: an empirical study, Journal of Information Science 31(5) (2005) 381—93.[Abstract]
  • T.C. Chou, P.L. Chang, C.T. Tsai and Y.P. Cheng, Internal learning climate, knowledge management process and perceived knowledge management satisfaction, Journal of Information Science 31(4) (2005) 283—96.[Abstract]
  • A.K. Gupta and V. Govindarajan, Knowledge management's social dimension: lessons from Nucor Steel, Sloan Management Review 42(1) (2000) 71—80.[Web of Science]
  • R. Sabherwal and I. Becerra-Fernandez, An empirical study of the effect of knowledge management processes at individual, group, and organizational levels, Decision Sciences 34(2) (2003) 225—60.[CrossRef][Web of Science]
  • C.M. Fiol, Consensus, diversity, and learning in organizations, Organization Science 5(3) (1994) 403—20.[Abstract/Free Full Text]
  • J. Xu and M. Quaddus, A six-stage model for the effective diffusion of knowledge management systems, Journal of Management Development 24(4) ( 2005) 362—73.[CrossRef]
  • J.H. Lee and Y.G. Kim, A stage model of organizational KM: a latent content analysis, Expert Systems with Applications 20(4) (2001) 299—311.[CrossRef][Web of Science]
  • P. Gottschalk, Expert systems at stage IV of the knowledge management technology stage model: the case of police investigations, Expert Systems with Applications 31(3) (2006) 617—28.[CrossRef][Web of Science]
  • H.F. Lin and G.G. Lee, Effects of socio-technical factors on organizational intention to encourage knowledge sharing, Management Decision 44(1) ( 2006) 74—88.[CrossRef]
  • S. Moffett, R. McAdam and S. Parkinson, Technology and people factors in knowledge management: an empirical analysis, Total Quality Management 14(2) ( 2003) 215—24.[Web of Science]
  • Y.J. Yeh, S.Q. Lai and C.T. Ho, Knowledge management enablers: a case study, Industrial Management and Data Systems 106(6) (2006) 793—810.[CrossRef]
  • S.Yahya and W.K. Goh, Managing human resources toward achieving knowledge management, Journal of Knowledge Management 6(5) (2002) 457—68.[CrossRef]
  • A. Jantunen, Knowledge-processing capabilities and innovative performance: an empirical study, European Journal of Innovation Management 8(3) (2005) 336—49.
  • G. Bhatt, J.N.D. Gupta and F. Kitchens, An exploratory study of groupware use in the knowledge management process, The Journal of Enterprise Information Management 18(1) ( 2005) 28—46.
  • A. Daghfous, Absorptive capacity and the implementation of knowledge-intensive best practices, S.A.M. Advanced Management Journal 69(2) (2004) 21—7.
  • P. Gottschalk, Predictors of IT support for knowledge management in the professions: an empirical study of law firms in Norway, Journal of Information Technology 15(1) (2000) 69—78.[CrossRef]
  • S.H. Liao, Knowledge management technologies and applications — literature review from 1995 to 2002, Expert Systems with Applications 25(2) ( 2003) 155—64.[Web of Science]
  • K. Kautz and K. Thaysen, Knowledge, learning and IT support in a small software company, Journal of Knowledge Management 15(4) (2001) 349—57.
  • J.C. Anderson and D.W. Gerbing, An updated paradigm for scale development incorporating unidimensionality and its assessment, Journal of Marketing Research 25(2) (1988) 186—92.[CrossRef][Web of Science]
  • K.G. Joreskog and D. Sorbom, LISREL 8: Structural Equation Modeling (Scientific Software International, Chicago, 1996).
  • R.P. Bagozzi and Y. Yi, On the evaluation of structural equation models, Journal of the Academy of Marketing Science 16(1) (1988) 74—94.[Abstract/Free Full Text]
  • J.F. Hair, R.L. Anderson and W.C. Tatham, Multivariate Data Analysis with Reading ( Prentice-Hall, Upper Saddle River, 1998).
  • H. Lee and B. Choi, Knowledge management enablers, processes, and organizational performance: an integrative view and empirical examination, Journal of Management Information Systems 20(1) (2003) 179—228.[Web of Science]
  • W.Y. Wu and H.J. Tsai, Impact of social capital and business operation mode on intellectual capital and knowledge management, International Journal of Technology Management 30(1) (2005) 147—71.
  • G.W. Bock, R.W. Zmud and Y.G. Kim, Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces, and organizational climate, MIS Quarterly 29(1) (2005) 87—111.[Web of Science]
  • G.F. Templeton, B.R. Lewis and C.A. Snyder, Development of a measure for the organizational learning construct, Journal of Management Information Systems 19(2) ( 2002) 175—218.
  • T.S.H. Teo and Y. Pian, A model for Web adoption, Information and Management 41(4) (2004) 457—68.[CrossRef]
  • C.J. Chen, The effects of knowledge attributes, alliance characteristics, and absorptive capacity on knowledge transfer performance, R&D Management 34(3) (2004) 311—21.[CrossRef]

This version was published on December 1, 2007

Journal of Information Science, Vol. 33, No. 6, 643-659 (2007)
DOI: 10.1177/0165551506076395
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Journal of Information ScienceHome page
H.-F. Lin, H.-S. Lee, and Da Wei Wang
Evaluation of factors influencing knowledge sharing based on a fuzzy AHP approach
Journal of Information Science, February 1, 2009; 35(1): 25 - 44.
[Abstract] [PDF]

This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Lin, H.-F.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?