A study on the intention to use total cost of ownership system in Tenaga Nasional Berhad
List of Authors
  • Maisarah Mahamud Sayuti , Syed Jamal Abdul Nasir Syed Mohamad

Keyword
  • Total Cost of Ownership, Technology Acceptance Model, Perceived Usefulness, Perceived Ease of Use, Perceived Risks

Abstract
  • This research aims to discover factors that influence behavioural intention among Tenaga Nasional Berhad (TNB) Grid employee to adopt Total Cost of Ownership (TCO) system as a new technology in daily operation. TCO system is expected to improve and optimize OPEX of TNB Grid. This research adopted Technology Acceptance Model (TAM) by Davis et al. (1989) as the framework of the study. Despite utilising perceived usefulness and perceived ease of use as the dimension, this research study extends the investigation by incorporating perceived risks as per model by Khasawneh (2015). This research study is based on the data collected from a survey questionnaire that investigates factors that influence behavioural intention to accept TCO system among TNB Grid employee. The quantitative method is used to gather the information in the non-contrived study setting to provide a natural environment of the TNB Grid. The stratified random sampling method is used whereby the target population; employees dealing with the entire asset lifecycle management of high voltage equipment, is divided into meaningful segments such as job’s position, office location, department and years of service. The research discovered there are strong relationship between perceived usefulness, perceived ease of use and perceived risks with the behavioural intention to adopt TCO system among TNB Grid employees. The research also highlighted the important element to be considered by TNB in developing the efficient TCO system which is the ease-of-use system. The positive attitude will drive behavioural intention to use the system if the user perceives ease of use.

Reference
  • 1. A.Indarto, I. Garniwa, R. Setiabudy and C. Hudaya, "Total cost of ownership analysis of 60 MVA 150/120 kV power transformer," 2017 15th International Conference on Quality in Research (QiR).

    2. Al Imarah, A.A.T., Zwain, A.A.A. and Al-Hakim, L.A.Y. 2013. The Adoption of e-government services in the Iraqi higher education context: An application of the UTAUT model in the University of Kufa. Journal of Information Engineering and Applications, 3(10):77-84.

    3. Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: The impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258-274.

    4. Dontigney, E. (2016). Types of Perceived Risk.

    5. Elliott, K. M., Hall, M. C., & Meng, J. (. (2013). Consumers' Intention to Use Self-Scanning Technology: The Role of Technology Readiness and Perceptions Toward Self-Service Technology. xxxx

    6. Gresham, J. (2020). Manufacturing trends in automated inspection equipment: Linking technology with business change management using the TAM (Order No. 27739078).

    7. Hair, Joseph F Jr.; William C Black; Barry J Babin; Rolph E Anderson. (2019). Multivariate data analysis. Andover, Hampshire, United Kingdom: Cengage, [2019] ©2019

    8. Hsiao, C.H. and Tang, K.Y. 2014. Explaining undergraduates’ behaviour intention of e-textbook adoption: An empirical assessment of five theoretical models. xxxx

    9. Lee, Ming-Chi. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit.

    10. Li, Y.-M. and Yeh, Y.-S. (2010), “Increasing trust in mobile commerce through design aesthetics”,Computers in Human Behaviour, Vol. 26 No. 4, pp. 673-684.

    11. Maduku, D. K. (2015). An empirical investigation of students' behavioural intention to use e-books. Management Dynamics, 24(3), 2-20.

    12. Marghalani, Adel & Shami, Maan. (2018). Estimating Total Cost of Ownership. Xxxx. 10.13140/RG.2.2.32151.06567.

    13. McNish, M., 2001. Guidelines for managing change: A study of their effects on the implementation of new information technology projects in organisations.

    14. Mha, K. (2015). A mobile banking adoption model in the Jordanian market: An integration of TAM with perceived risks and perceived benefits. Journal of Internet Banking and Commerce, 20(3), 1-35.

    15. Normalini, M. K., P. (2019). Revisiting the effects of quality dimensions, perceived usefulness and perceived ease of use on internet banking usage intention. Global Business and Management Research, 11(2), 252-261.

    16. Nurfatiasari, S., & Aprianingsih, A. (2017). A pilot study of technology adoption: An analysis of consumers' preference on future online grocery service.

    17. Pallant, J. (2001). SPSS survival manual: A step-by-step guide to data analysis using SPSS for Windows (Version 10). Crows Nest, N.S.W: Allen & Unwin.

    18. Sekaran. U, Bougie. R. “Research Methods for Business: A Skill Building Approach,” 2016 John Wiley & Sons Ltd. 7 Edition: UK

    19. Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA: Pearson.

    20. TNB Grid Division, “Asset Maintenance Guidelines” 2018 Grid Strategy Department.

    21. TNB Grid Division, “International Transmission Operations & Maintenance Study (ITOMS)”, 2019

    22. Yu, C.S. 2012. Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 13(2): 104-121.