IS

Lee, Heeseok

Topic Weight Topic Terms
0.358 knowledge transfer management technology creation organizational process tacit research study organization processes work organizations implications
0.293 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical
0.160 memory support organizations information organizational requirements different complex require development provides resources organization paper transactive
0.147 team teams virtual members communication distributed performance global role task cognition develop technology involved time
0.135 knowledge application management domain processes kms systems study different use domains role comprehension effective types
0.124 factors success information critical management implementation study factor successful systems support quality variables related results
0.111 knowledge sharing contribution practice electronic expertise individuals repositories management technical repository knowledge-sharing shared contributors novelty
0.106 effect impact affect results positive effects direct findings influence important positively model data suggest test

Focal Researcher     Coauthors of Focal Researcher (1st degree)     Coauthors of Coauthors (2nd degree)

Note: click on a node to go to a researcher's profile page. Drag a node to reallocate. Number on the edge is the number of co-authorships.

Choi, Sue Young 1 Choi, Byounggu 1 Yoo, Youngjin 1
Knowledge management 2 Field study 1 knowledge management enablers 1 knowledge-creating processes 1
organizational creativity 1 organizational performance 1 team performance 1 transactive memory system 1

Articles (2)

THE IMPACT OF INFORMATION TECHNOLOGY AND TRANSACTIVE MEMORY SYSTEMS ON KNOWLEDGE SHARING, APPLICATION, AND TEAM PERFORMANCE: A FIELD STUDY. (MIS Quarterly, 2010)
Authors: Abstract:
    In contemporary knowledge-based organizations, teams often play an essential role in leveraging knowledge resources. Organizations make significant investments in information technology to support knowledge management practices in teams. At the same time, recent studies show that the transactive memory system (TMS)-the specialized division of cognitive labor among team members that relates to the encoding, storage, and retrieval of knowledge-is an important factor that affects a team's performance. Yet little is known of how IT support for knowledge management practices in organizations affects the development of TMS. Furthermore, the precise role of TMS on knowledge sharing and knowledge application, which in turn influences team performance, has not been fully explored. In order to close this gap in the literature, we conducted a field study that involved 139 on-going teams of 743 individuals from two major firms in South Korea. Our results show that IT support in organizations has a positive impact on the development of TMS in teams, and that both TMS and IT support have a positive impact on knowledge sharing and knowledge application. Furthermore, we found that knowledge sharing has a positive impact on knowledge application, which in turn has a direct impact on team performance. However, contrary to our expectation, knowledge sharing does not have a direct impact on team performance and its impact on team performance was fully mediated by knowledge application. Our research shows that organizations can improve team members' meta-knowledge of who knows what through the careful investment in information technology. Finally, our results show that sharing knowledge alone is not enough. Organizations must ensure that shared knowledge is in fact applied in order to improve team performance.
Knowledge Management Enablers, Processes, and Organizational Performance: An Integrative View and Empirical Examination. (Journal of Management Information Systems, 2003)
Authors: Abstract:
    Knowledge is recognized as an important weapon for sustaining competitive advantage and many companies are beginning to manage organizational knowledge. Researchers have investigated knowledge management factors such as enablers, processes, and performance. However, most current empirical research has explored the relationships between these factors in isolation. To fill this gap, this paper develops a research model that interconnects knowledge management factors. The model includes seven enablers: collaboration, trust, learning, centralization, formalization, T-shaped skills, and information technology support. The emphasis is on knowledge creation processes such as socialization, externalization, combination, and internalization. To establish credibility between knowledge creation and performance, organizational creativity is incorporated into the model. Surveys collected from 58 firms were analyzed to test the model. The results confirmed the impact of trust on knowledge creation. The information technology support had a positive impact on knowledge combination only. Organizational creativity was found to be critical for improving performance; neglecting ideas can undermine a business. The results may be used as a stepping stone for further empirical research and can help formulate robust strategies that involve trade-offs between knowledge management enablers.