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Designing sticky knowledge networks

Published:01 May 2005Publication History
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Abstract

Much of any organization's experience and expertise remains underused and underexploited simply because it resides not in databases, repositories, or manuals but in the minds of its employees. Attempting to harness such distributed expertise, organizations have begun implementing collaborative knowledge networks---peer-to-peer digital networks connecting individuals with relevant expertise to their peers who need it [10, 11]. Unfortunately, however, successful knowledge networks represent the occasional island dotting a sea of failures. While many organizations are eager adopters of knowledge network systems, individual users frequently abandon them, leaving a trail of million- dollar paperweights. To be self-sustaining, knowledge networks must be sticky, though stickiness is an elusive design objective.

References

  1. Arkes, H. and Blumer, C. The psychology of sunk cost. Org. Behav. Hum. Decis. Process. 35, 1 (Feb. 1985), 124---140.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bhattacherjee, A. Understanding information systems continuance: An expectation-confirmation model. MIS Quart. 25, 3 (Sept. 2001), 351---370. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Cummings, J., Butler, B., and Kraut, R. The quality of online social relationships. Commun. ACM 45, 7 (July 2002), 103---108. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. DeSouza, K. Facilitating tacit knowledge exchange. Commun. ACM, 46, 6 (June 2003), 85---88. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Goffman, E. Behavior in Public Places: Notes on the Social Organization of Gatherings. The Free Press, New York, 1963.Google ScholarGoogle Scholar
  6. Granovetter, M. The strength of weak ties. American J. Sociology 78 (May 1973), 1360---1380.Google ScholarGoogle ScholarCross RefCross Ref
  7. Hansen, M. The search-transfer problem: The role of weak ties in sharing knowledge across organizational subunits. Admin. Sci. Quart. 44, 1 (Mar. 1999), 83---111.Google ScholarGoogle ScholarCross RefCross Ref
  8. Resnick, P., Zeckhauser, R., Friedman, E., and Kuwabara, K. Reputation systems. Commun. ACM 43, 12 (Dec. 2000), 45---48. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Simon, H. We and they: The human urge to identify with groups. Industrial and Corporate Change 11, 3 (June 2002), 607---610.Google ScholarGoogle Scholar
  10. Tiwana, A. Affinity to infinity in peer-to-peer knowledge platforms. Commun. ACM 46, 5 (May 2003), 76---80. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Tiwana, A. and Bush, A. Continuance in expertise-sharing networks: A social perspective. IEEE Transact. Engineer. Mgt. 52, 1 (Feb. 2005), 85---101.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Designing sticky knowledge networks

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                      cover image Communications of the ACM
                      Communications of the ACM  Volume 48, Issue 5
                      Adaptive complex enterprises
                      May 2005
                      108 pages
                      ISSN:0001-0782
                      EISSN:1557-7317
                      DOI:10.1145/1060710
                      Issue’s Table of Contents

                      Copyright © 2005 ACM

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                      Publication History

                      • Published: 1 May 2005

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