Consumer Perceived Risks Factors Towards Online Purchase Intention of Electronic Products in Malaysia

Authors

  • Muhammad Shahrir Mohamed Shafieek Faculty of Technical and Vocational Education Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor. Author
  • Muhammad Shahrir Mohamed Shafieek Faculty of Technical and Vocational Education Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor. Author
  • Affero Ismail 1 Faculty of Technical and Vocational Education Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor. Author

DOI:

https://doi.org/10.61841/wb5dcs12

Keywords:

Perceived risks, Online purchase intention, Purchase decision process, Electronic products, arketing strategies

Abstract

Online purchase is the mainstream of consumers’ obtaining products and services that will satisfy their needs. It is essential to understand the ultimate motive behind the transaction made by consumers’ and it is also important for suppliers and retailers to target the right channel to reach out to their customers. Therefore, it is crucial to understand the factors influencing consumers’ perceived risks towards online purchase intention especially during the purchase decision process. Taking this into consideration, the paper at hand has been crafted with the ultimate objective of unveiling the risks that are affecting consumers when purchasing through online, particularly in purchasing electronic products. In order to do so, this study has greatly relied on the framework that has been derived from previous literatures. In addition to this study, all the data were collected through a self-administered questionnaire via e-survey from consumers’ residing in Malaysia. The findings show that there are factors have been identified through Exploratory Factor Analysis that have a significant effect towards online purchase intention which are performance risk, social risk, privacy risk, psychological risk, and financial risk. As a conclusion, marketers should create effective marketing strategies in engaging consumers to purchase via online rather than offline. Additionally, online marketers should be more concerned about these attributes to increase customers’ online purchase intention that will increase customer loyalty in the long run.

 

Downloads

Download data is not yet available.

References

[1]. Ahasanul Haque, Ahmad Zaki Hj Ismail, A. H. D. (2009). Issues of electronic banking.pdf.

[2]. Ariff, M. S. M., Sylvester, M., Zakuan, N., Ismail, K., & Ali, K. M. (2014). Consumer perceived risk, attitude and online shopping behaviour; Empirical evidence from Malaysia. IOP Conference Series: Materials Science and Engineering,

58(1). https://doi.org/10.1088/1757-899X/58/1/012007

[3]. Bianchi, C., & Andrews, L. (2012). Risk, trust, and consumer online purchasing behaviour: a Chilean perspective.

International Marketing Review, 29(3), 253–275. https://doi.org/10.1108/02651331211229750

[4]. Byrne, B. M., Taylor, R., & York, N. (2010). Book Review Structural Equation Modeling With Amos : Basic Concepts , Applications And Programming. Journal of Applied Quantitative Methods, 5(2), 365–367.

[5]. Chen, M. Y., & Teng, C. I. (2013). A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electronic Commerce Research, 13(1), 1–23. https://doi.org/10.1007/s10660-013- 9104-5

[6]. Costello, A. B., & Osborne, J. W. (2005). Best Practices in Exploratory Factor Analysis : Four Recommendations for Getting the Most From Your Analysis. Practical Assessment, Research & Education, 10, 1–9. https://doi.org/10.1.1.110.9154

[7]. Dhanapal, S., Vashu, D., & Subramaniam, T. (2015). Perceptions on the challenges of online purchasing: A study from “baby boomers”, generation “X” and generation “Y” point of views. Contaduria y Administracion, 60, 107–132. https://doi.org/10.1016/j.cya.2015.08.003

[8]. Haque, A., Sadeghzadeh, J., & Khatibi, A. (2006). Identifying potentiality online sales in Malaysia: A study on customer relationships online shopping. Journal of Applied Business Research, 22(4), 119–130. https://doi.org/10.19030/jabr.v22i4.1420

[9]. Haque, A., Tarofder, A. K., Rahman, S., & Raquib, A. (2009). Electronic Transaction of Internet Banking and its Perception of Malaysian online Customers. Afriican Journal of Business Management, 3(6), 248–259. https://doi.org/10.5897/AJBM09.036

[10]. Janssens, W., Wijnen, K., Pelsmacker, P. De, & Kenhove, P. Van. (2008). Marketing Research with SPSS.

[11]. Kothari, C. R. (2004). Research Methodology: Methods & Techniques. New Age International (P) Ltd. https://doi.org/10.1017/CBO9781107415324.004

[12]. Küster, I., Vila, N., & Canales, P. (2016). How does the online service level influence consumers’ purchase intentions before a transaction? A formative approach. European Journal of Management and Business Economics, 25(3), 111–120. https://doi.org/10.1016/j.redeen.2016.04.001

[13]. Landau, S., & Everitt, B. (2004). A handbook of statistical analyses using SPSS. Statistics in Medicine (Vol. 24). https://doi.org/10.1002/sim.2134

[14]. Lu, M. H., Zulkiffli, W. F. W., & Hamsani, N. H. (2016). The impact of perceived risks towards customer attitude in online shopping. International Journal of Accounting, Finance and Business, 1(2), 13–21. Retrieved from www.ijafb.com/PDF/IJAFB-2016-02-12-02.pdf

[15]. Malhotra, N., Hall, J., Shaw, M., & Oppenheim, P. (2007). Essentials of Marketing Research, An Applied Orientation. Retrieved from https://books.google.com/books?id=cDLiBAAA QBAJ&pgis=1

[16]. Ming‐Yen Teoh, W., Choy Chong, S., Lin, B., & Wei Chua, J. (2013). Factors affecting consumers’ perception of electronic payment: an empirical analysis. Internet Research, 23(4), 465–485. https://doi.org/10.1108/IntR-09-2012-0199

[17]. Morad, M., & Raman, S. (2015). The Risk Faced by Consumers in E-Retailing. International Journal of Accounting, Business and Management, 1(1), 1–8. https://doi.org/10.24924/ijabm/2015.04/v3.iss1/292.299

[18]. Nawi, N. C., Mamun, A. A., Hamsani, N. H. & Muhayiddin, M. N., (2019). Effects of Consumer Demographics and Risk Factors on Online Purchase Behaviour in Malaysia, MDPI Journal on Societies, 9, 10; doi:10.3390/soc9010010

[19]. Pallant, J. (2001). One-way analysis of variance. SPSS Survival Manual.

[20]. S.S., Razali and Ismail, A. (2019). The element of fine art context in multimedia element in teaching and learning material towards motivation to learn. International Journal of Engineering and Advanced Technology, Volume-8 Issue-6S3, ISSN: 2249 –8958.

[21]. Tanadi, T., Samadi, B., & Gharleghi, B. (2015). The impact of perceived risks and perceived benefits to improve an online intention among generation-Y in Malaysia. Asian Social Science, 11(26), 226–238. https://doi.org/10.5539/ass.v11n26p226

[22]. Tham K. W., Dastane, O., Johari, Z., Ismail, N., (2019). Journal of Asian Finance, Economics and Business Vol 6 No 4 (2019) 249-260

[23]. V-W. Mitchell, (1992). Understanding Consumers’ Behaviour: Can Perceived Risk Theory Help?. Management Decision, Vol 30 Issue 3 pp.

Downloads

Published

30.09.2020

How to Cite

Mohamed Shafieek, M. S., Mohamed Shafieek, M. S., & Ismail , A. (2020). Consumer Perceived Risks Factors Towards Online Purchase Intention of Electronic Products in Malaysia. International Journal of Psychosocial Rehabilitation, 24(7), 7384-7396. https://doi.org/10.61841/wb5dcs12