Knowledge quality: antecedents and consequence in project teams

Dong Kyoon Yoo; Mark A. Vonderembse; T.S. Ragu-Nathan

doi:10.1108/13673271111119727

Login

Welcome:
Guest

Search for:

Browse:

Product Information:

Resources:

Journal of Knowledge Management

ISSN: 1367-3270

Online from: 1997

Subject Area: Information and Knowledge Management

Content: Latest Issue | Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Knowledge quality: antecedents and consequence in project teams

Document Information:
Title:	Knowledge quality: antecedents and consequence in project teams
Author(s):	Dong Kyoon Yoo, (Assistant Professor in the Department of Management Information Systems at Virginia State University, Petersburg, Virginia, USA), Mark A. Vonderembse, (Professor of Information Operations and Technology Management, and Interim Chair of the John B. and Lillian E. Neff Department of Finance at The University of Toledo, Toledo, Ohio, USA), T.S. Ragu-Nathan, (Professor of Information Systems and Operations Management in the College of Business Administration at the University of Toledo, Toledo, Ohio, USA)
Citation:	Dong Kyoon Yoo, Mark A. Vonderembse, T.S. Ragu-Nathan, (2011) "Knowledge quality: antecedents and consequence in project teams", Journal of Knowledge Management, Vol. 15 Iss: 2, pp.329 - 343
Keywords:	Functional differentiation, Information networks, Innovation, Knowledge management, Quality
Article type:	Research paper
DOI:	10.1108/13673271111119727 (Permanent URL)
Publisher:	Emerald Group Publishing Limited
Acknowledgements:	Received: 25 May 2010. Accepted: 18 October 2010
Abstract:	Purpose – The purpose of this study is to address the nature of knowledge quality, describe its dimensions, and create valid and reliable instruments to measure it. Knowledge quality is proposed as a second-order factor model which includes three dimensions: intrinsic knowledge quality, contextual knowledge quality, and actionable knowledge quality. This study also aims to examine important antecedents to and an outcome of knowledge quality. Design/methodology/approach – Data collected from 208 project teams were used to test measures of knowledge quality and to examine a proposed research framework by using LISREL for structural equation modeling. Findings – Results support the claim that knowledge quality has three dimensions. The results also show that functional diversity, absorptive capacity, and knowledge networks are critical antecedents that positively impact knowledge quality, which in turn has an influence on innovation. Research limitations/implications – The research framework enables academicians and practitioners to have important insights regarding the determinants of knowledge quality and its positive impact on innovation. Practical implications – The valid and reliable instruments of knowledge quality provide a tool to analyze the strengths and weaknesses of intrinsic, contextual, and actionable knowledge quality. This study illustrates how firms can improve knowledge quality by integrating interdisciplinary knowledge. Originality/values – This study identifies dimensions of knowledge quality and its antecedents and consequences.