• International Journal of Technology (IJTech)
  • Vol 9, No 8 (2018)

Impact of Knowledge Sharing Determinants on Improving Performance of Facilities Management

Impact of Knowledge Sharing Determinants on Improving Performance of Facilities Management

Title: Impact of Knowledge Sharing Determinants on Improving Performance of Facilities Management
Irwan Mohammad Ali, Mohd Azian Zaidi, Kharizam Ismail, Mohamed Imran Mohamed Ariff

Corresponding email:


Published at : 30 Dec 2018
Volume : IJtech Vol 9, No 8 (2018)
DOI : https://doi.org/10.14716/ijtech.v9i8.2761

Cite this article as:
Ali, I.M., Zaidi, M.A., Ismail, K., Ariff, M.I.M., 2018. Impact of Knowledge Sharing Determinants on Improving Performance of Facilities Management. International Journal of Technology. Volume 9(8), pp. 1533-1541

1,065
Downloads
Irwan Mohammad Ali Department of Building Surveying, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Perak Branch, Seri Iskandar Campus, Seri Iskandar, 32610 Perak, Malaysia
Mohd Azian Zaidi Department of Building Surveying, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Perak Branch, Seri Iskandar Campus, Seri Iskandar, 32610 Perak, Malaysia
Kharizam Ismail Department of Quantity Surveying, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Perak Branch, Seri Iskandar Campus, Seri Iskandar, 32610 Perak, Malaysia
Mohamed Imran Mohamed Ariff Department of Computer Science, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapah Campus, Tapah Road, 35400 Perak, Malaysia
Email to Corresponding Author

Abstract
Impact of Knowledge Sharing Determinants on Improving Performance of Facilities Management

The delivery process for facilities management (FM) is critical during operational and maintenance stages when it ensures that all facilities are at their best performance in support of organization business operation. Since this stage takes place in a very complex and uncertain environment, an effective approach must be used to ensure successful FM. Most organization know of the importance of knowledge sharing (KS) to organizational performance; thus, the main purpose of this research is to examine the impact of KS determinants on improving performance of FM. The primary method used in this research was a deductive approach that strategically used a questionnaire survey technique to collect data. A set of questionnaires was developed and distributed to targeted respondents who were directly involved in FM operations. The response rate from these surveys was high at 74%. Data were analyzed using structural equation modelling and SmartPLS 3.0 software. Results showed that working culture, staff attitude, motivation to share and opportunities to share had significant impacts on improving performance of FM operations, while the nature of knowledge to share did not significantly impact FM operational performance. Thus, this research proposed a KS model for improving FM operations.

Determinants; Facilities management; Improving performance; Knowledge sharing; Operational performance

Conclusion

In this study, the significant impact of KS determinants on improving FM operational performance was identified. Four hypotheses (i.e., WC, SA, MV, and OP) had a significant impact on improving FM performance, but the hypothesis for NK was not accepted and had no significant impact on improving FM performance. Therefore, FM organizations could implement KS more strategically to improve operational performance. Since this study was exploratory, it is suggested that a longitudinal research approach should be used for future research focused on the definite effects of KS after incentive or encouragement to improve organizational performance management based on the hypotheses is implemented.

Acknowledgement

This research was part of ongoing PhD research at the Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Cawangan Perak and funded under Geran Insentif Khas Penyeliaan Perak. The authors would like to express their deepest gratitude to the Faculty of Architecture, Planning and Surveying and the Universiti Teknologi MARA, Cawangan Perak.

References

Ajzen, I., 2001. Nature and Operation of Attitudes. Annual Review of Psychology, Volume 52(1), pp. 27–58

Alexander, K., 2013. Facilities Management: Theory and Practice. Taylor & Francis, New York, USA

Barrett, P., Finch, E., 2013. Facilities Management: The Dynamics of Excellence. Wiley. United Kingdom

Bartol, K.M., Srivastava, A., 2002. Encouraging Knowledge Sharing: The Role of Organizational Reward Systems. Journal of Leadership & Organizational Studies, Volume 9(1), pp. 64–76

Chin, W.W., 1998. Commentary: Issues and Opinion on Structural Equation Modeling. MIS Quarterly. MIS Quarterly, Volume 22(1), pp. VII­–XVI

Chotipanich, S., 2004. Positioning Facility Management. Facilities, Volume 22(13/14), pp. 364–372

Fornell, C., Larcker, D.F., 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, Volume 18(1), pp. 39–50

Hair Jr, J.F., Sarstedt, M., Hopkins, L., Kuppelwieser, V., 2014. Partial Least Squares Structural Equation Modeling (PLS-SEM). European Business Review, Volume 26(2), pp. 106–121

Hair Jr, J.F., Black, W.C., Babin, B.J., Anderson, R.E., 2010. Multivariate Data Analysis. Pearson. London

Hansen, M.T., 2002. Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies. Organization Science, Volume 13(3), pp. 232–248

Hartono, R., Sheng, M.L., 2016. Knowledge Sharing and Firm Performance: The Role of Social Networking Site and Innovation Capability. Technology Analysis & Strategic Management, Volume 28(3), pp. 335–347

Henseler, J., Hubona, G., Ray, P.A., 2016. Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, Volume 116(1), pp. 2–20

Ipe, M., 2003. Knowledge Sharing in Organizations: A Conceptual Framework. Human Resource Development Review, Volume 2(4), pp. 337–359

Isa, N.M., Kamaruzzaman, S.N., Mohamed, O., Berawi, M.A., 2017. Review of Facilities Management Functions in Value Management Practices. International Journal of Technology, Volume 8(5), pp. 830–840

Ismail, M.B., Mohammad Yusof, Z., 2009. Demographic Factors and Knowledge Sharing Quality among Malaysian Government Officers. In Communications of the IBIMA (Volume 9). Available Online at https://ibimapublishing.com/articles/CIBIMA/2009/385564/385564.pdf, Accessed on October 16, 2018

Krogh, G.V., Ichijo, K., Nonaka, I., 2000. Enabling Knowledge Creation: How to Unlock the Mystery of Tacit Knowledge and Release the Power of Innovation. Oxford University Press. New York, USA

Loehlin, J.C., 1998. Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis. Lawrence Erlbaum Associates Publishers. New Jersey, USA

Mohd Zin, I.N., 2013. Knowledge Sharing Approaches in Malaysian Construction Organisations for Improved Performance. Ph.D Thesis, University of Salford, united Kingdom

Mustapa, M., 2013. Facilities Management Knowledge in Private Finance Initiative (PFI) Healthcare Projects. PhD Thesis, Loughborough University, United Kingdom

Nurcahyo, R., Wibowo, A.D., Putra, R.F.E., 2015. Key Performance Indicators Development for Government Agency. International Journal of Technology, Volume 6(5), pp. 856–863

Nutt, B., 2000. Four Competing Futures for Facility Management. Facilities, Volume 18(3/4), pp. 124–132

Pathirage, C., Haigh, R., Amaratunga, D., Baldry, D., 2008. Knowledge Management Practices in Facilities Organisations: A Case Study. Journal of Facilities Management, Volume 6(1), pp. 5–22

Ping, R.A., 2009. Is There Any Way to Improve Average Variance Extracted (AVE) in a Latent Variable (LV) X (Revised)?. Availale Online at http://www.wright.edu/~robert.ping/ImprovAVE2.doc, Accessed on October 16, 2018