Welcome to the InfoSci Platform
Reference Hub14
Assessing Knowledge Management: Refining and Cross Validating the Knowledge Management Index Using Structural Equation Modeling Techniques

Assessing Knowledge Management: Refining and Cross Validating the Knowledge Management Index Using Structural Equation Modeling Techniques

Derek Ajesam Asoh, Salvatore Belardo, Jakov ("Yasha") Crnkovic
Copyright: © 2007 |Volume: 3 |Issue: 2 |Pages: 30
ISSN: 1548-0666|EISSN: 1548-0658|ISSN: 1548-0666|EISBN13: 9781615204007|EISSN: 1548-0658|DOI: 10.4018/jkm.2007040101
Cite Article Cite Article

MLA

Asoh, Derek Ajesam, et al. "Assessing Knowledge Management: Refining and Cross Validating the Knowledge Management Index Using Structural Equation Modeling Techniques." IJKM vol.3, no.2 2007: pp.1-30. http://doi.org/10.4018/jkm.2007040101

APA

Asoh, D. A., Belardo, S., & Crnkovic, J. Y. (2007). Assessing Knowledge Management: Refining and Cross Validating the Knowledge Management Index Using Structural Equation Modeling Techniques. International Journal of Knowledge Management (IJKM), 3(2), 1-30. http://doi.org/10.4018/jkm.2007040101

Chicago

Asoh, Derek Ajesam, Salvatore Belardo, and Jakov ("Yasha") Crnkovic. "Assessing Knowledge Management: Refining and Cross Validating the Knowledge Management Index Using Structural Equation Modeling Techniques," International Journal of Knowledge Management (IJKM) 3, no.2: 1-30. http://doi.org/10.4018/jkm.2007040101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

With growing interest in knowledge management (KM)-related assessments and calls for rigorous as-sessment tools, the objective of this study was to apply structural equation modeling (SEM) techniques to refine and cross validate the KM index (KMI), a metric to assess the degree to which organizations are engaged in KM. Unlike previous KM metrics research that has focused on scales, we modeled the KMI as a formative latent variable, thereby extending knowledge on formative measures and index creation from other fields into the KM field. The refined KMI metric was tested in a nomological network and found to be robust and stable when cross validated; thereby demonstrating consistent prediction results across independent data sets. The study also verified the hypothesis that the KMI is positively correlated with organizational performance (OP). Research contributions, managerial implications, limitations of the study, and direction for further research are discussed.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.