Trust and Dependence Model of Knowledge Sharing in Systems Development

Jun Gi Park, Jungwoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Systems development consists of knowledge-intensive activities requiring collaboration between business professionals and technology experts. It is suggested in the social exchange theory that the knowledge sharing among team members of extremely different background involves building up trust and dependence. Trust and dependence are closely related but different antecedents leading members to share knowledge. In this study, a dual path model of trust and dependence on knowledge sharing is reconceptualized with antecedents and empirically validated in the context of systems development teams. Four antecedents are identified: expertise of team members, relationship exchange (benefit/investment), project complexity, and communication frequency. A questionnaire was developed and used to collect data from 270 project teams. PLS analysis of collected data largely confirms this dual path model of dependence and trust in systems development context. All four antecedents are also found to be strongly related to trust and dependence. Implications are discussed with further studies.

Original languageEnglish
Title of host publicationICIS 2017
Subtitle of host publicationTransforming Society with Digital Innovation
PublisherAssociation for Information Systems
ISBN (Print)9780996683159
Publication statusPublished - 2018
Event38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017 - Seoul, Korea, Republic of
Duration: 2017 Dec 102017 Dec 13

Publication series

NameICIS 2017: Transforming Society with Digital Innovation

Conference

Conference38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017
Country/TerritoryKorea, Republic of
CitySeoul
Period17/12/1017/12/13

Bibliographical note

Funding Information:
This study is supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2015S1A5A2A03048360).

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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