Eleven Years of the Knowledge Management Track at HICSS: An Overview

Eleven Years of the Knowledge Management Track at HICSS: An Overview

Sven Dittes, Stefan Smolnik, Murray E. Jennex, David T. Croasdell
Copyright: © 2016 |Pages: 11
DOI: 10.4018/IJKM.2016100104
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This paper presents an overview and history of the knowledge management (KM) research community at the Hawaii International Conference on System Sciences (HICSS). This community began as a mini-track in HICSS-27 and has since evolved into full track status with the name Knowledge, Innovation, and Entrepreneurial Systems for HICSS-50. The purpose of this paper is to acquaint KM researchers with a rich history of high quality KM research that has evolved through a series of name changes.
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Joline Morrison and Lorne Olfman began a mini-track on Organizational Memory (OM) at HICSS-27 to “provide a forum for information systems and other related researchers and practitioners to share ideas and theories about organizational memory and organizational memory systems” (Morrison & Olfman, 2000). Like so many mini-tracks at the Hawaii International Conference on System Sciences (HICSS), the OM mini-track brought together like minded researchers to share their ideas and their research in a thoughtful and collaborative venue in order to generate, nurture and advance academic research. It is unlikely either Morrison or Olfman envisioned a full-fledged research track growing out of their early efforts to foster and promote a community devoted to conducting research on the use of information systems to support organizational memory and organizational learning. This manuscript chronicles the development of today’s Knowledge Innovation and Entrepreneurship research track from its early days as a mini-track focusing on organizational memory. Our article is part of a larger project to celebrate the 50th anniversary of HICSS and illustrate the contributions and impact this research track has made on the broader community. We begin with a brief history followed by some descriptive statistics. We conclude by highlighting key papers and contributions that grew out of KM-themed HICSS proceedings.

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