Knowledge Management Systems Implementation Effects on University Students' Academic Performance: The Socio-Technical Theory Perspective

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  • Author(s): Acheampong Owusu (ORCID Acheampong Owusu (ORCID 0000-0001-7789-5162)
  • Language:
    English
  • Source:
    Education and Information Technologies. 2024 29(4):4417-4442.
  • Publication Date:
    2024
  • Document Type:
    Journal Articles
    Reports - Research
  • Additional Information
    • Availability:
      Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: [email protected]; Web site: https://link.springer.com/
    • Peer Reviewed:
      Y
    • Source:
      26
    • Education Level:
      Higher Education
      Postsecondary Education
    • Subject Terms:
      Foreign Countries; Knowledge Management; College Students; Academic Achievement; Social Influences; Automation; Computer Uses in Education; Influence of Technology
    • Subject Terms:
      Ghana
    • Accession Number:
      10.1007/s10639-023-11999-9
    • ISSN:
      1360-2357
      1573-7608
    • Abstract:
      Knowledge Management Systems (KMS) have been used to provide automated assistance to customers in different organizations from diverse sectors. In the context of higher educational institutions (HEIs) especially in universities, research indicates that KMS assist universities with quicker response time to key issues, share vital knowledge, improve job efficacy and production, facilitate effective decision-making procedures to accomplish efficiency, and thereby provide the required status of performance. However, there is dearth of literature regarding KMS effects on students' academic performance. This study, therefore, assesses the implementation effects of KMS on the academic performance of university students under the lens of the socio-technical theory. Through non-proportionate stratified and convenience sampling techniques, 687 students from a public university in Ghana were sampled and analyzed via the partial least squares structural equation modeling (PLS-SEM) approach. The results indicate that all the technical factors (relative advantage, compatibility, complexity) and social factors (system quality, information quality, awareness, and computer self-efficacy) influence system use. Also, system use influences user satisfaction. Additionally, user satisfaction influences academic performance. The findings of this study suggest that the implementation of KMS by the university has provided the students with the necessary gratification which has aided them in improving their academic performance. Other implications are also discussed.
    • Abstract:
      As Provided
    • Publication Date:
      2024
    • Accession Number:
      EJ1416131