Background: This paper further extends the purchase intention study on halal personal care product by applying the decomposed theory of planned behavior (DTPB), thus, providing significant contribution to the body of knowledge and literatures on halal non-food study. Objective: The main objective of the paper is to investigate the effect of friends’ influence, family members’ influence and subjective norm in influencing individual’s intention to purchase halal personal care products. Methodology: Data were collected from 405 Muslim respondents in Klang Valley, Malaysia, using a combination of purposive and quota sampling approach. The data were later analyzed using the Statistical Package for Social Sciences (SPSS) and Partial Least Square – Structural Equation Modeling (PLS SEM) Results: The results revealed that friends’ influence and family members’ influence were significant determinant of subjective norm. In addition, it was found that subjective norm had a significant positive influence on one’s intention to purchase halal personal care products. Conclusion: By examining friends’ influence, family members’ influence, and subjective norm, the study validated the importance of these three constructs in affecting one’s behavioral intention towards halal personal care products. In addition, this study would be useful for marketers, manufacturers, and product managers as the findings would help them formulate and pursue relevant marketing strategies for their companies’ promotional activities.
Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50(12), 179–211.
Ali, S., Halim, F., & Ahmad, N. (2016). The state of halal personal care products research on consumer behaviour: A systematic review of the literature and future research directions. Journal of Marketing Management and Consumer Behavior, 1(4), 40–51.
Awan, H.M., Siddiquei, A.N. & Haider, Z. (2015). Factors affecting Halal purchase intention-evidence form Pakistan’s Halal food sector. Management Research Review, 38(6), 640–660.
Bentler, P.M. & Chou, C. (1987). Practical issues in structural modelling. Sociological Methods and Research, 16(7), 78–117.
Brace, I. (2008). Questionnaire Design: how to plan, structure and write survey material for effective market research, 2nd Edition. Kogan Page Limited, London, UK.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling, in Modern Business Research Methods, Marcoulides, G.A. (Ed). In Lawrence Erlbaum Associates, Mahwah, NJ (pp. 295–336).
Chin, W. W. (2010). How to write up and report PLS analyses. In Esposito Vinzi, V., Chin, W.W., Henseler, J., & Wang, H. (Eds.), Handbook of partial least squares: Concept, methods and applications. Springer-Verlag, Berlin, Germany.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum, Mahwah, New Jersey.
Ding, L., Velicer, W.F. & Harlow, L. L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modelling fit indices. In Structural Equation Modelling (Vol. 2, pp. 119–143).
Fornell, C. & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 41–54.
Fornell, C., & Cha, J. (1994). Partial Least squares. In R.P. Bagozzi (Ed), Advanced methods in marketing research. Cambridge: Blackwell.
Gholami, R., Sulaiman, A.B., Ramayah, T., & Molla, A. (2013). Senior managers’ perception on green information systems (IS) adoption and environmental performance: Results from a field survey. Information & Management, 50(7), 431–438.
Global Institute of Forensic Research. (2015). The Global Halal Industry: An overview. GIFR. Retrieved from http://www.gifr.net/gifr2013/ch_13.pdf (Retrieved on February 6, 2016)
Hair, J., Anderson, R., Tatham, R. & Black, W. (1998). Multivariate data analysis. Prentice Hall, Inc, Upper Saddle River, New Jersey.
Hair, J.F., Hult,G.T.M., Ringle, C.M. & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Los Angeles, CA.
Hair, J.F., Tomas, G.M.H., Ringle, C.M. & Sarstedt, M. (2017). A Primer On Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Edition. SAGE Publications, California.
Halal Development Corporations. (2014). Opportunities in Halal Economy. HDC, Malaysia, (8th January 2014).
Haque, A., Sarwar, A., Farzana, Y., Tarofder, A.K. & Hossain, M. A. (2015). Non-Muslim consumers’ perception toward purchasing halal food products in Malaysia. Journal of Islamic Marketing, 6(1), 133–147.
Hashim, A.J.C.M. & Musa, R. (2013). Modelling the effects of the attitude of young adult urban Muslim women towards halal cosmetic products: New insights for championing the halal economy. International Journal of Education and Research, 1(7), 1–8.
Hashim, A.J.C.M. & Musa, R. (2014). Factors Influencing Attitude towards Halal Cosmetic among Young Adult Urban Muslim Women: A Focus Group Analysis. Procedia-Social and Behavioral Sciences, 130, 129–134.
Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(13), 115–135.
Henseler, J., Ringle, C.M., & Sinkovics, R. R. (2009). The use of Partial Least Squares Path Modeling in International Marketing. Advances in International
In-Text Citation: (Nawawi, Roslin, & Hamid, 2018)
To Cite this Article: Nawawi, S. Bin, Roslin, R. B. M., & Hamid, N. B. A. (2018). The Importance of Friends’ and Family Members’ Influence and Subjective Norm in Propelling Individual’s Intention to Purchase Halal Personal Care Products. International Journal of Academic Research in Business and Social Sciences, 8(11), 2017–2028.
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