Diagnosing TAM Using Factor Analysis

Authors

  • Zurena @ Rena Shahril Faculty of Hotel and Tourism Management, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Mohd Salehuddin Mohd Zahari Faculty of Hotel and Tourism Management, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Ida Rosmini Othman Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.21834/ajbes.v3i11.101

Keywords:

technology acceptance model, responsiveness, smart card, restaurants

Abstract

Factor analysis using Principal Axis Factoring (PAF) extraction method and oblique rotation conducted to confirm the factor structure and unidimensionality of the constructs by extending the Technology Acceptance Model (TAM). This study examines responsiveness towards the actual usage of Malaysia’s “Touch ‘n Go†smart card amongst restaurant customers. Results discovered that two factors extracted from the three core determinants of customer responsiveness, in which dimensions such as awareness, brand Image, attitude and actual usage of the smart card remained due to the significant factor loadings. Replication of this factor analysis through further research is significant to customize the research framework.

Keywords: technology acceptance model, responsiveness, smart card, restaurants

eISSN 2398-4295 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. 

http://dx.doi.org/10.21834/ajbes.v3i11.101

References

A Abrazhevich, D. (2004), “Electronic payment systems: a user-centered perspective and interaction.

Aite Group. (2011). The Impact of Mobile Banking: A Case for Mobile Marketing. www.aitegroup.com

Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7, 141–164.

Bank Negara Malaysia. (2011). Central Bank of Malaysia- Financial Sector Blueprint. 2011–2020. www.bnm.gov.my ISBN: 978 –983–9586– 47–3

Cooper, R.G. (1997). Examining Some Myths About New Product Winners, in Katz, R., ed., The Human Side of Managing Technological Innovation, Oxford, pp. 550-560.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of computer technology, MIS Quaterly, Vol. 13 No. 3, pp. 319-40.

Davis, F.D., Bagozzi, R.P., & Warshaw, P.R., (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science 35 (8), 982–1002.

Feldwick, P. (1996), “Do we really need “brand equityâ€?â€, The Journal of Brand Management, Vol. 4, No. 1, pp. 9-28.

Field, A. (2009). Discovering Statistics Using SPSS (3rd edition). Sage

Howard, J. & Moore, W. (1982). Changes in consumer Behavior Over the Product Life Cycle, in Tushman and Moore, ed.. Readings in the Management of Innovation, Pitman, 128.

Huh, H. J., Kim, T., & Law, R. (2009). A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management, 28(1), 121–134.

Johnson MD & Puto CP (1987). A review of consumer judgment and choice. Review of Marketing. M. Houston. USA, American Marketing Association: 236-292.

Keller, K.L. (1993), “Conceptualizing, measuring, and managing customer based brand equityâ€, Journal of Marketing, Vol. 57, January, pp. 1-22

Kurnia, S. and Benjamin, L. (2007). Exploring the reasons for a failure of electronic payment systems a case study of an Australian company. Journal of Research and Practice in Information Technology, 39 (4), 34-67.

Lin, C. H., Shih, H. Y., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAMmodel. Psychology & Marketing, 24, 641–657.

Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. Journal of Strategic Information Systems, 16, 413–432.

Mozeik, C. K., Beldona, S., Cobanoglu, C., & Poorani, A. (2009). The adoption of restaurant-based e service. Journal of Foodservice Business Research, 12, 247–265.

Nomura Research Institute. (2008). e-Money Today and the Evolution of Electronic Payment Systems in Japan. www.ftc.gov/bcp/workshops/payonthego/presentations/ueda.pdf‎.

Park, C.S. and Srinivasan, V. (1994), “A survey-based method for measuring and understanding brand equity and its extendibilityâ€, Journal of Marketing Research, Vol. 31, May, pp. 271-88.

Rogers, E.M. & Shoemaker, F.F. (1971).Qv’ . sawroach. New York: The Free Press. 54

Watkins, M.W. (2006). Determining Parallel Analysis Criteria. Journal of Modern Applied Statistical Methods, Vol. 5, No. 2, 344-346

Downloads

Published

2018-05-20

How to Cite

Shahril, Z. @ R., Mohd Zahari, M. S., & Othman, I. R. (2018). Diagnosing TAM Using Factor Analysis. Asian Journal of Behavioural Studies, 3(11), 55–64. https://doi.org/10.21834/ajbes.v3i11.101

Issue

Section

Articles