1,204
Views
42
CrossRef citations to date
0
Altmetric
Articles

Knowledge sharing among Malaysian universities’ students: do personality traits, class room and technological factors matter?

, &
Pages 1-25 | Received 21 Sep 2012, Accepted 11 Jul 2013, Published online: 13 Aug 2013
 

Abstract

Active and voluntarily sharing of knowledge is an essential element of effective and meaningful learning at university level. Recognising the role and importance of Big Five personality traits (extraversion, conscientiousness, agreeableness, emotional stability and openness) in encouraging knowledge-sharing behaviour, this paper adds the classroom (instructor support and degree of competition) and technological factors (technology availability and support) to model general knowledge-sharing patterns. Survey instrument was used to collect from six private and six public universities in Malaysia. Out of 700 surveys distributed, 474 data were used for analysis representing the response rate of 67.71%. Extraversion, conscientiousness, instructor support, degree of competition and technology support are found to have positive relationship with knowledge-sharing patterns. However, emotional stability is found to have negative relationship. A practical implication of these results is that instructors could advance knowledge sharing via personnel screening in forming assignment groups in their class as well as providing sufficient support and technology support to promote knowledge sharing among students.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,036.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.