Main Article Content

Abstract

Purpose – The purpose of this paper is to determine the factors influencing Malaysian consumer toward intention to purchase Takaful scheme for mental health disorders.

Design/methodology – This paper adopts a quantitative approach by using an extended Theory of Reasoned Action (TRA) model. A pilot study with the total of 60 questionnaires were obtained from online survey to examine the significance relationship using multiple regression analysis.

Findings – The result from this study portrays that subjective norm are strong predictors of a Malaysian consumer intention to purchase Takaful scheme for mental health disorders. Moreover, factors such as awareness, perception and attitude have positive and significant impacts on consumer intention to purchase takaful scheme for mental health disorders in Malaysia.

Research limitation – There are some constraints. First, it focuses only on the actions of Malaysian consumers against a takaful scheme for mental health disorders; thus, the findings cannot be generalized to other takaful schemes. Therefore, more studies in other takaful settings, such as general takaful, need to begin. Second, this study considered only four factors were awareness, perception, attitude and subjective norm, and the factors selected might not cover all the factors which may have an effect on Malaysia's intentions toward takaful mental health disorders scheme.

Originality - This study not only helps takaful operators design, develop and promote better approved takaful products and services, but also offers a new insight into how these products and services can be marketed to these particular consumers. Previous empirical studies that employed TRA focused on various types of variables, such as attitude and subjective norm, especially in the financial service environment. This research thus adds to the body of information by analysing the relative value of the goal affecting it.

Article Details

Author Biographies

Khairil Faizal Khairi, Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia, Negeri Sembilan, Malaysia

Faculty of Economics and Muamalat

Associate Professor

Nur Hidayah Laili, Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia, Negeri Sembilan, Malaysia

Faculty of Economics and Muamalat

Senior Lecturer

Aimi Fadzirul Kamarubahrin, Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia, Negeri Sembilan, Malaysia

Faculty of Economics and Muamalat

Researcher

How to Cite
Khairi, K. F., Laili, N. H., & Kamarubahrin, A. F. (2020). Determination of Malaysian consumer intention toward purchasing Takaful scheme for mental health disorders. Jurnal Ekonomi & Keuangan Islam, 6(2), 106–118. https://doi.org/10.20885/jeki.vol6.iss2.art3

References

  1. Abdul-Jabbar, H., Intan, T. P., Awadh Bin-Nashwan, S. and Rahim Romle, A. (2016). The application of theory of planned behaviour on business zakah compliance in Yemen: A proposed framework, Middle-East Journal of Scientific Research, 24(6), 2052-2057, doi. org/10.5829/idosi.mejsr.2016.24.06.23645.
  2. Ajzen, I. and Fishbein, M. (2002). Understanding attitudes and predicting social behavior, Prentice-Hall, Upper Saddle River, NJ.
  3. Ajzen, I. and Fishbein, M. (1980). Understanding attitudes and predicting social behavior, Prentice-Hall, Englewood Cliffs, NJ.
  4. Ajzen, I. (2002). Constructing a theory of planned behavior questionnaire. Retrieved December 18, 2019, from https://people.umass.edu/aizen/pdf/tpb.measurement.pdf
  5. Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
  6. Akbar, S, Shah, S. and Kalmadi, S. (2012). An investigation of user perceptions of Islamic banking practices in the United Kingdom, International Journal of Islamic and Middle Eastern Finance and Management, 5(4), 353-370.
  7. Cavanagh J. T, Carson A. J., Sharpe M. and Lawrie S. M (2003). Psychological autopsy studies of suicide: A systematic review.
  8. Chatfield, C. and Collins, A. J. (1992). Introduction to multivariate analysis, Chapman and Hall, London.
  9. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests, Psychometrika, 16, 297-335.
  10. Dar, H. (2005) “Islamic mortgages”, In Iqbal, M. and Wilson, R. (Eds), Islamic perspectives on wealth creation, Edinburgh University Press, Edinburgh, pp. 188-9.
  11. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models, Management Science, 35(8), 982-1003, doi:10.1287/mnsc.35.8.982.
  12. Farooq, M. O. (2014). Islamic wealth management and the pursuit of positive-sum solutions, Islamic Economic.
  13. Fishbein, M. and Ajzen, I. (1980). Belief, attitude, intention, and behavior: An introduction to theory and research, Addison-Wesley, Reading, MA.
  14. Fishbein, M. and Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research, Addison-Wesley, Reading, MA.
  15. Gopi, M. and Ramayah, T. (2007). Applicability of theory of planned behavior in predicting intention to trade online: some evidence from a developing country. International Journal of Emerging Markets, 2(4), 348-360.
  16. Ha, H. and Janda, S. (2012). Predicting consumer intentions to purchase energy-efficient products, Journal of Consumer Marketing, 29(7), 461-469, doi.org/10.1108/07363761211274974.
  17. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (1998). Multivariate data analysis (Vol. 5). Upper Saddle River, USA: Prentice hall.
  18. Haron, S, Ahmed, N. and Planisek, S, (1994), Bank patronage factors of Muslim and non-Muslim customers, International Journal of Bank Marketing, 12(1), 32-40
  19. Hershey, D. A. and Wilson, J. A. (1997). Age differences in performance awareness on a complex financial decision-making task. Experimental Aging Research, 23, 257-273.
  20. Hu, T., Stafford, T.F., Kettinger, W.J., Zhang, X. and Dai, H. (2017). Formation and effect of social media usage habit, Journal of Computer Information Systems, 58(4), 334-343, doi:10.1080/08874417.2016.1261378
  21. Hussain, F. N. and Noor, A. M. (2018). An assessment of customer’s preferences on the selection of Takaful over conventional: A case of Saudi Arabia. Tazkia Islamic Finance and Business Review, 12(1), 33-60.
  22. Husin, M. M., Ismail, N. and Rahman, A. A. (2016). The roles of mass media, word of mouth and subjective norm in family Takaful purchase intention, Journal of Islamic Marketing, 7(1). http://dx.doi.org/10.1108/JIMA-03-2015-0020.
  23. Husin, M. and Rahman, A. (2013). What drives consumers to participate into family Takaful schemes? A literature review, Journal of Islamic Marketing, 4(3), 264-280.
  24. Izhar, M., Masood, T. and Khan, M. S. (2010). Problems and prospects of Islamic banking: A case study of Takaful. Aligarh Muslim University, Aligarh, India.
  25. Jamaluddin, R. (2016). More Malaysians expected to suffer from mental illness by 2020. Retrieved from The Star Online, 1 July 2016.
  26. Lada, S., Tanakinjal, G. H. and Amin, H. (2009). Predicting intention to choose halal products using theory of reasoned action. International Journal of Islamic and Middle Eastern Finance and Management, 2(1), 66-76. doi:10.1108/17538390910946276.
  27. Lutz, R.J. (1991). The role of attitude theory in marketing, In Kassarjian, H.H. and Roberson, T.S. (Eds), Perspectives in consumer behavior, Prentice-Hall, Englewood Cliffs, NJ.
  28. Maichum, K., Parichatnon, S. and Peng, K. C. (2017). Factors affecting on purchase intention towards green products: A case study of young consumers in Thailand. International Journal of Social Science and Humanity, 7(5), 330-335.
  29. Mansor, K. A., Masduki, R. M. N., Mohamad, M., Zulkarnain, N. and Aziz, N. A. (2015). A study on factors influencing Muslim’s consumers preferences towards Takaful products in Malaysia. Romanian Statistical Review, 2, 79-89.
  30. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior, Information Systems Research, 2(3), 173-191, doi.org/10.1287/isre.2.3.173.
  31. Maturi, T.C. (2013). Islamic insurance (Takaful): Demand and supply in the UK, International Journal of Islamic and Middle Eastern Finance and Management, 6(2), 87-104.
  32. Maysami, R. and Williams, J. (2006). Evidence on the relationship between takaful insurance and fundamental perception of Islamic principles, Applied Financial Economics Letters, 2(4), 229-232.
  33. Mei, O. J., Ling, K. C. and Piew, H. T. (2012). The antecedents of green purchase intention among Malaysian consumers. Asian Social Science, 8(13), 248-263.
  34. Muhamad, S. F., Abdullah, N., Abd Aziz, N. A. and Azmi, N. F. (2016). The perception and awareness on Takaful: A descriptive analysis between the gender. Intercontinental Journal of Marketing Research Review. 4(10), 58-63.
  35. Mukhtar, A. and Butt, M. M. (2012). Intention to choose halal products: the role of religiosity, Journal of Islamic Marketing, 3(2), 108-120, doi.org/10.1108/17590831211232519.
  36. Nigg, C. R. (2009). Physical activity assessment issues in population-based interventions: A stage approach. In G. J. Welk (Ed.), Physical Activity Assessments for Health-Related Research (pp. 227-239). Champaign IL: Human Kinetics.
  37. Omer, H. (1992). The implication of Islamic beliefs and practice on Islamic financial institutions in the UK, Ph.D. Dissertation.
  38. Sentot, S. A., Hung, W. S., Ho, S. H. and Sitohand, P. S. (2015). Influence of green marketing towards purchase intention of green products through attitude: Survey on Indonesian and Taiwanese Students. International Journal of Humanities and Management Sciences, 3(4), 196-202.
  39. Sheldon, P. (2016). Facebook friend request: applying the theory of reasoned action to student-teacher relationships on Facebook, Journal of Broadcasting and Electronic Media, 60(2), 269-285, available at: http://doi.org/10.1080/08838151.2016.1164167.
  40. Schleyer, T. K. L. and Forrest, J. L. (2000). Methods for the design and administration of web-based surveys. Journal of the American Medical Informatics Association, 7, 416-425.
  41. Sinnappan, P. and Rahman, A. A. (2011). Antecedents of green purchasing behaviour among Malaysian consumers. International Business Management, 5(3), 129-139.
  42. Suddin, L., Geoffrey, H.T. and Hanudin, A. (2009). Predicting intention to choose halal products using theory of reasoned action, International Journal of Islamic and Middle Eastern Finance and Management, 2(1), 66-76.
  43. Tabachnick, B.G. and Fidell, L.S. (1996). Using multivariate statistics, 3rd ed., Harper Collins Publisher, New York, NY.
  44. Taylor, S. & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
  45. Yadav, R., & Pathak, G. S. (2016). Intention to purchase organic food among young consumers: Evidences from a developing nation. Appetite, 96, 122-128. doi: 10.1016/j.appet.2015.09.017.
  46. Yadav, R., & Pathak, G. S. (2017). Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological Economics, 134, 114-122. doi:10.1016/j. ecolecon.2016.12.019.
  47. Yap, S.F. and Noor, A. (2008) An extended model of theory of planned behaviour in predicting exercise intention. International Business Research, 1(4), 108-122.
  48. Zhen, J. S. S. and Mansori, S. (2012). Young female motivations for purchase of organic food in Malaysia. International Journal of Contemporary Business Studies, 3(5), 61-72.