The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Information Technology and Organizational Learning: An Investigation of Exploration and Exploitation Processes
Abstract
This study investigates the effects of information technology (IT) on exploration and exploitation in organizational learning (OL). We use qualitative evidence from previously published case studies of a single organization to extend an earlier computational model of organizational learning (March 1991) by introducing IT-enabled learning mechanisms: communication technology (e-mail), knowledge repositories of best practices, and groupware. We find that each of these IT-enabled learning mechanisms enable capabilities that have a distinct effect on the exploration and exploitation learning dynamics in the organization. We also find that this effect is dependent on organizational and environmental conditions, as well as on the interaction effects between the various mechanisms when used in combination with one another. We explore the implications of our results for the use of IT to support organizational learning.
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Citations
Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157
Organizational Learning: A Theory of Action Perspective
Argyris, C., & Schön, D. A. (1997) · Reis · doi:10.2307/40183951 · Cited by 11,113
Hutchins, E. (1995) · doi:10.7551/mitpress/1881.001.0001 · Cited by 10,801
Organizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
Transactive Memory: A Contemporary Analysis of the Group Mind
Wegner, D. M. (1987) · Theories of Group Behavior · doi:10.1007/978-1-4612-4634-3_9 · Cited by 2,700
Technological frames: making sense of information technology in organizations
Orlikowski, W. J., & Gash, D. C. (1994) · ACM Transactions on Information Systems · doi:10.1145/196734.196745 · Cited by 1,736
Technology Diffusion and Organizational Learning: The Case of Business Computing
Attewell, P. (1992) · Organization Science · doi:10.1287/orsc.3.1.1 · Cited by 1,401
CHANNEL EXPANSION THEORY AND THE EXPERIENTIAL NATURE OF MEDIA RICHNESS PERCEPTIONS.
Carlson, J. R., & Zmud, R. W. (1999) · Academy of Management Journal · doi:10.2307/257090 · Cited by 1,270
The Assimilation of Software Process Innovations: An Organizational Learning Perspective
Fichman, R. G., & Kemerer, C. F. (1997) · Management Science · doi:10.1287/mnsc.43.10.1345 · Cited by 811
Cited by
Lu, Y., & Ramamurthy, K. (. (2011) · MIS Quarterly · doi:10.2307/41409967 · Cited by 1,309
Digital Product Innovation Within Four Classes of Innovation Networks
Lyytinen, K., Yoo, Y., & Boland Jr., R. J. (2016) · Information Systems Journal · doi:10.1111/isj.12093 · Cited by 806
Leonardi, P. M. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.3.04 · Cited by 444
Schryen, G. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2012.45 · Cited by 420
Thatcher, J. B., McKnight, D. H., Baker, E. W., Arsal, R. E., & Roberts, N. H. (2011) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2009.2028320 · Cited by 196
Casting the Net: A Multimodal Network Perspective on User–System Interactions
Kane, G. C., & Alavi, M. (2008) · Information Systems Research · doi:10.1287/isre.1070.0158 · Cited by 135
Self-citationPerceived Proximity and Trust Network on Creative Performance in Virtual Collaboration Environment
Chae, S. W. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.07.084 · Cited by 26
Metadata
- Authors
- Kane, G. C., & Alavi, M.
- Venue
- Organization Science
- Published
- 2007-10
- Volume
- 18
- Issue
- 5
- Pages
- 796-812
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2146429536
- Cited by
- 453
- References
- 11
- FWCI
- 34.60
- Type
- journal article
- Language
- en
- Open access
- closed
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