The explanatory power of social cognitive theory in determining knowledge sharing among Saudi faculty

PLoS One. 2021 Mar 19;16(3):e0248275. doi: 10.1371/journal.pone.0248275. eCollection 2021.

Abstract

Knowledge sharing positively and significantly improves academics' research, instruction and community service. The study of knowledge sharing in Saudi higher education is limited and offers little guidance to administrators, as well as faculty on how to capitalize on knowledge sharing and utilize it to their own and organizations' benefits. This research presents findings from an original quantitative study testing a structural equation model linking social cognitive theory to knowledge sharing collection and donation measured by validated scales from the extant literature. Community characteristics including altruism and reputation carry significant positive effects on knowledge sharing collection and donation. Similarly, personal outcomes expectations possess a moderate positive effect on knowledge sharing collection and donation. Self-efficacy in knowledge sharing emerged as an important predictor of knowledge sharing activities among Saudi academics. The findings suggest the need for developing professional training seminars on using social media for knowledge sharing in formal departmental and college settings. Further, the results confirm the relevance of social cognitive theory for the study of knowledge sharing. This creates the need for Saudi universities to invest in mentorship programs using digital platforms where personal and community outcomes' expectations are likely to improve among academics thereby increasing knowledge sharing activity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Faculty / psychology*
  • Female
  • Humans
  • Information Dissemination*
  • Knowledge
  • Male
  • Psychological Theory*
  • Saudi Arabia
  • Self Efficacy
  • Social Media
  • Universities

Grants and funding

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group No (RG-1441-527).