Research Article
Year 2017,
Volume: 3 Issue: 8, 707 - 712, 31.08.2017
Abstract
The current study investigated attitudinal components that potentially impact the
Knowledge Transfer Behaviour (KTB) of academics. It focused specifically on the
role of behavioural intentions in the academic research process, and the resulting
knowledge productivity, utilising a large sample of academics from a Malaysian Public
University. The study contributes theoretically and empirically by demonstrating
the relationships of the variables comprising the Theory of Planned Behaviour (i.e.
attitudes, subjective norms, perceived behavioural control and intentions) on
performance outcomes related to Knowledge Transfer Behaviour. The study also
has practical significance based on its implications for university faculty members,
providing suggestions for better understanding of how they might increase their
success at Knowledge Transfer activities. This study adopts a quantitative
method, using online questionnaires as the instruments for data collection. The
on-line survey was administered by emailing potential respondents a link. Volunteer
respondents were academics from Malaysia Public University (N=985). Path analysis was conducted to
test the research hypotheses, using a structural equation modelling (SEM) approach.
The results revealed that behavioural intentions significantly
predicted KTB, and Attitude and PBC significantly predicted Behavioural
Intentions. Unexpectedly, Subjective Norms did not predict behavioural
intentions for Knowledge Transfer Behaviour (KTB) of
academics. When further modifications were made to the model, Knowledge
Transfer behaviour was predominantly uniquely explained by perceived
behavioural control. Further recommendations were made for this study by adding
other theories such as concept of the Triple Helix by looking upon university,
industry and government relationships for expanding further research. Moreover, shedding
light on the findings of this study could add valuable
information to other researchers and thus contributes theoretically and
empirically in Theory of Planned Behaviour literature.
References
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In The Role of Service in the Tourism and Hospitality Industry - Proceedings of the 2nd International Conference on Management and Technology in Knowledge, Service, Tourism and Hospitality, SERVE 2014. (pp. 209-213). CRC Press/Balkema. D'Este, P., & Patel, P. (2007). University-industry linkages in the UK: What are the factors underlying the variety of interactions with industry? Research Policy,36(9), 1295-1313. Dev Raj Adhikari, (2010). Knowledge management in academic institutions. International Journal of Management Review, 41 (2), 79-94. Dickinger, A., Arami, M. & Meyer, D. (2008) European Journal of Information Systems, 17: 4. doi:10.1057/palgrave.ejis.3000726 Disterer, G. (2001). Individual and social barriers to knowledge transfer. Journal of Business Administration, 34(1), 1-7. Flagg, D., Gilley, O. & Park, J. (2011). Job market signalling: What drives the productivity of finances Ph.D.s?. Financial Management, 40, 483-513. Harrison, D. A., Mykytyn, P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8(2), 171–195. Hsu, M.-H., Ju, T. L., Yen, C.-H., & Chang, C.-M. (January 01, 2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International Journal of Human - Computer Studies, 65, 2, 153-169. Huang, E., & Chuang, M. (2007). Extending the theory of planned behaviour as a model to explain post-merger employee behaviour of IS use. Computers in Human Behavior, 23 (1), 240–257. Huang, Y.-H. (September 01, 2014). Measuring individual and organizational knowledge activities in academic libraries with multilevel analysis. The Journal of Academic Librarianship, 40, 5, 436-446 Ka¨pyla¨, J., Ja¨a¨skela¨inen, A. & Lo¨nnqvist, A. (2010). Identifying future challenges for productivity research: evidence from Finland. International Journal of Productivity and Performance Management, 59, 607-23. Kalafatis, S., Pollard, M., East, R., & Tsogas, M. (1999). Green marketing and Ajzen's theory of planned behaviour: A cross-market examination. Journal of Consumer Marketing, 16 (5), 441–460. Kim, H. & Karpova, E., (2010). Consumer attitudes toward fashion counterfeits: application of the theory of planned behaviour. Clothing and Textiles Research Journal 28 (2), 79–94. Levitan, A.S. & Ray, R. (1992), “Personal and institutional characteristics affecting research productivity of academic accountants”, Journal of Education for Business, 67, 335-41. Long, R., Bowers, W., Barnett, T. & White, M. (1998), “Research productivity of graduates in management: effects of academic origin and academic affiliation”, Academy of Management Journal, 41, 704-14. Molas-Gallart, J., Salter, A., Pastel, P., Scott, A. & Duran, X. (2002). Measuring Third Stream Activities. Final Report to the Russell Group of Universities. Science and Technology Policy Research (SPRU), University of Sussex. Brighton (UK). Mutaz M Al-Debei, Enas Al-Lozi, & Papazafeiropoulou, A. (2013). Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems 55, 43–54. Muthén, L.K., & Muthén, B.O. (1998-2017). Mplus User’s Guide. Eighth Edition. Los Angeles, CA: Muthén & Muthén. Sh. Ye, Chen, H. & Jin, X. (2006). Exploring the moderating effects of commitment and perceived value of knowledge in explaining knowledge contribution in virtual communities. The Tenth Pacific Asia Conference on Information Systems (PACIS), 2006. Siponen, M. (2000). A conceptual foundation for organizational information security awareness, Journal of Information Management and Computer Security 8 (1), 31–41. Titah, R., & Barki, H. (January 01, 2009). Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy?. MIS Quarterly: Management Information Systems, 340, 4, 827. Triple-helix. Retrieved from https://triplehelix.stanford.edu/3helix_concept
Year 2017,
Volume: 3 Issue: 8, 707 - 712, 31.08.2017
Abstract
References
- Abreu, M. & Grinevich, V. (2013). The nature of academic entrepreneurship in the UK: Widening the focus on entrepreneurial activities. Research Policy, 42(2), 408- 422 Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50 (2), 179–211. Ajzen, I. (2006). Constructing a TPB Questionnaire: Conceptual and Methodological Considerations. http://www.uni-bielefeldyh.de/ikg/zick/ajzen%20 construction%20a%20tpb%20questionnaire.pdf Ajzen, I. (2011). Attitudes, personality and behavior. Maidenhead, England: McGraw-Hill/Open University Press. Bock, G.-W., & Kim, Y.-G. (2002). Breaking the myths of rewards: An exploratory study of attitudes about knowledge sharing. Information Resources Management Journal, 15, 2, 14-21. Dahari, S. N. S. B., Rahman, A. L. B. A., Sawal, M. Z. H. B. M., & Tanuri, Z. A. B. M. (2014). Librarian knowledge productivity behaviour: A conceptual model. In The Role of Service in the Tourism and Hospitality Industry - Proceedings of the 2nd International Conference on Management and Technology in Knowledge, Service, Tourism and Hospitality, SERVE 2014. (pp. 209-213). CRC Press/Balkema. D'Este, P., & Patel, P. (2007). University-industry linkages in the UK: What are the factors underlying the variety of interactions with industry? Research Policy,36(9), 1295-1313. Dev Raj Adhikari, (2010). Knowledge management in academic institutions. International Journal of Management Review, 41 (2), 79-94. Dickinger, A., Arami, M. & Meyer, D. (2008) European Journal of Information Systems, 17: 4. doi:10.1057/palgrave.ejis.3000726 Disterer, G. (2001). Individual and social barriers to knowledge transfer. Journal of Business Administration, 34(1), 1-7. Flagg, D., Gilley, O. & Park, J. (2011). Job market signalling: What drives the productivity of finances Ph.D.s?. Financial Management, 40, 483-513. Harrison, D. A., Mykytyn, P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8(2), 171–195. Hsu, M.-H., Ju, T. L., Yen, C.-H., & Chang, C.-M. (January 01, 2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International Journal of Human - Computer Studies, 65, 2, 153-169. Huang, E., & Chuang, M. (2007). Extending the theory of planned behaviour as a model to explain post-merger employee behaviour of IS use. Computers in Human Behavior, 23 (1), 240–257. Huang, Y.-H. (September 01, 2014). Measuring individual and organizational knowledge activities in academic libraries with multilevel analysis. The Journal of Academic Librarianship, 40, 5, 436-446 Ka¨pyla¨, J., Ja¨a¨skela¨inen, A. & Lo¨nnqvist, A. (2010). Identifying future challenges for productivity research: evidence from Finland. International Journal of Productivity and Performance Management, 59, 607-23. Kalafatis, S., Pollard, M., East, R., & Tsogas, M. (1999). Green marketing and Ajzen's theory of planned behaviour: A cross-market examination. Journal of Consumer Marketing, 16 (5), 441–460. Kim, H. & Karpova, E., (2010). Consumer attitudes toward fashion counterfeits: application of the theory of planned behaviour. Clothing and Textiles Research Journal 28 (2), 79–94. Levitan, A.S. & Ray, R. (1992), “Personal and institutional characteristics affecting research productivity of academic accountants”, Journal of Education for Business, 67, 335-41. Long, R., Bowers, W., Barnett, T. & White, M. (1998), “Research productivity of graduates in management: effects of academic origin and academic affiliation”, Academy of Management Journal, 41, 704-14. Molas-Gallart, J., Salter, A., Pastel, P., Scott, A. & Duran, X. (2002). Measuring Third Stream Activities. Final Report to the Russell Group of Universities. Science and Technology Policy Research (SPRU), University of Sussex. Brighton (UK). Mutaz M Al-Debei, Enas Al-Lozi, & Papazafeiropoulou, A. (2013). Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems 55, 43–54. Muthén, L.K., & Muthén, B.O. (1998-2017). Mplus User’s Guide. Eighth Edition. Los Angeles, CA: Muthén & Muthén. Sh. Ye, Chen, H. & Jin, X. (2006). Exploring the moderating effects of commitment and perceived value of knowledge in explaining knowledge contribution in virtual communities. The Tenth Pacific Asia Conference on Information Systems (PACIS), 2006. Siponen, M. (2000). A conceptual foundation for organizational information security awareness, Journal of Information Management and Computer Security 8 (1), 31–41. Titah, R., & Barki, H. (January 01, 2009). Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy?. MIS Quarterly: Management Information Systems, 340, 4, 827. Triple-helix. Retrieved from https://triplehelix.stanford.edu/3helix_concept
There are 1 citations in total.
Details
| Journal Section | Articles |
|---|---|
| Authors | |
| Publication Date | August 31, 2017 |
| Submission Date | September 12, 2017 |
| Published in Issue | Year 2017Volume: 3 Issue: 8 |
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