ISSN: 2222-6990
Open access
This study uncovers the factors that empower consumers to protect themselves against online shopping scams. The survey aimed to establish a significant relationship between self-efficacy, social influence, and awareness towards consumer self-protection. A quantitative method was adopted, and a self-administered questionnaire was used for data collection. The data was analysed using the Software Package for Social Science (SPSS). The analysis revealed that self-efficacy and awareness play significant roles in combating online shopping scams. At the same time, social influence was ineffective in enhancing consumer protection against online shopping scams. Both factors can explain 14.7% of the consumer's self-protection against online shopping scams, highlighting the empowering nature of awareness as the main predictor of self-protection. The results indicate that consumers can confidently shield themselves if they possess awareness and self-efficacy and are not controlled by social pressure like their peers. This study, therefore, serves as an empowering framework to boost consumer protection in Malaysia. The findings of this research provide consumers with a sense of control and confidence and can also help consumer associations and the government to increase consumer awareness programs in Malaysia.
Alzghoul, J. R., Abdallah, E. E., Al-khawaldeh, A. & Hafiz S. (2024). Fraud in online classified ads: Strategies, risks, and detection methods: A survey. Journal of Applied Security Research, 19(1), 45–69.
Andrei, F., & Veltri, G. A. (2024). Social influence in the darknet market: The impact of product descriptions on cocaine sales. International Journal of Drug Policy, 124, 104328.
Arimbawa, I. P. A. P., & Priyanto, I. M. D. (2024). Analysis of legal protection for online shopping consumers. Policy, Law, Notary and Regulatory Issues, 3(2), 222-227.
ASEAN (2018). Handbook on ASEAN consumer protection laws and regulations. ASEAN Secretariat, Jakarta.
Bandura, A. (1995). Self-efficacy, adaptation, and adjustment: Theory, research, and application. Springer US.
Bandura, A. (1994). Self-efficacy. In V. S. Ramachandran (Ed.), Encyclopedia of human behaviour. Academic Press.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
Baral, G., & Arachchilage, N. A. G. (2019, May). Building confidence not to be phished through a gamified approach: Conceptualising user's self-efficacy in phishing threat avoidance behaviour. Proceedings of the 2019 Cybersecurity and Cyber Forensics Conference (CCC), 102-110.
Blackwood-Brown, C., Levy, Y., & D’Arcy, J. (2021). Cybersecurity awareness and skills of senior citizens: A motivation perspective. Journal of Computer Information Systems, 61(3), 195-206.
Brenncke, M. (2024). A theory of exploitation for consumer law: Online choice architectures, dark patterns, and autonomy violations. Journal of Consumer Policy, 47(1), 127-164.
Burton, A., Cooper, C., Dar, A., Mathews, L., & Tripathi, K. (2022). Exploring how, why and in what contexts older adults are at risk of financial cybercrime victimisation: A realist review. Experimental gerontology, 159, 111678.
Chan, S., & Lu, M. (2004). Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management, 12 (3), 21–43.
Dangi, M. R. M., & Yacob, N. H. M. (2013). Examining the fraud awareness from the university’s academic staffs perspectives. Gading Journal for Social Sciences. 17(02), 1-20.
Daud, N. A., Arif, A. M. M., Abu, E., & Bakar, S. O. (2020). Determinants of self-protection practices in online shopping among the students of higher education institutions, Malaysia. Malaysian Journal of Consumer and Family Economics, 25(1), 91-110.
Dol, N., Bakar, E. A., & Said, A. M. (2015). Consumer legal literacy, values and consumerism practices among members of consumer association in Malaysia. Asian Social Science, 11(12), 189-183.
Ellis, J. D., & Tucker, M. (2009). Factors influencing consumer perception of food hazards. CABI Reviews, 1-8.
Halabi, K. A., Shahrill, M., Roslan, R., & Adnan, M. (2024). The influence of impulsivity and anti-social behaviour on academic performance of university undergraduate students in Nigeria. Jurnal Al-Sirat, 24(1), 201-211.
Hanus, B., & Andy, W. (2016). Impact of users' security awareness on desktop security behavior: A protection motivation theory perspective. Information Systems Management, 33 (1) 2–16.
Igbinenikaro, E., & Adewusi, A. O. (2024). Financial law: Policy frameworks for regulating fintech innovations: ensuring consumer protection while fostering innovation. Finance & Accounting Research Journal, 6(4), 515-530.
Johri, A. & Kumar, S. (2023). Exploring customer awareness towards their cyber security in the Kingdom of Saudi Arabia: A study in the era of Banking Digital Transformation. Human Behavior and Emerging Technologies, 1–10.
Luu, V., Land, L., & Chin, W. (2017). Safeguarding against romance scams–using protection motivation theory. Proceedings of the 25th European Conference on Information Systems (ECIS), 2429-2444.
Markus, H.R., & Kitayama, S. (1991). Cultural Variation in the Self-Concept. In J. Strauss, G.R Goethals (Eds.), The self: Interdisciplinary approaches. Springer.
Mariyappan, N., & Sangeetha, G. (2024). A study on consumer education towards external stimuli affecting online shopping behavior–analysis using Jamovi. Educational Administration: Theory and Practice, 30(4), 5985-5991.
Martens, M., De Wolf, R., & De Marez, L. (2019). Investigating and comparing the predictors of the intention towards taking security measures against malware, scams and cybercrime in general. Computers in Human Behavior, 92, 139-150.
Modic, David and Modic, David and Lea, Stephen E. G. (September 10, 2012). How neurotic are scam victims, really? The big five and internet scams. https://ssrn.com/abstract=2448130 or http://dx.doi.org/10.2139/ssrn.2448130.
Nagin, D. S., & Paternoster, R. (1993). Enduring individual differences and rational choice theories of crime. Law and Society Review, 467-496.
Nataraj-Hansen, S. (2024). More intelligent, less emotive and more greedy: Hierarchies of blame in online fraud. International Journal of Law, Crime and Justice, 76, 100652. –
Nawi, N. H. A., Mohamed, S., & Ramdzan, M. R. (2023). Understanding the Social Commerce Scam and Consumers Self Disclosure. International Journal of Business and Technology Management, 5(2), 251-262.
Rakin S. A., Md. Kais K. E, Sanjana F. A., & Durjoy, S. M. M. (2024). Security analysis in online transaction systems: a proposed framework. International Journal of Information Engineering and Electronic Business (IJIEEB), 16(2), 22–38.
Ridho, W. F. (2024). Unmasking online fake job group financial scams: A thematic examination of victim exploitation from perspective of financial behavior. Journal of Financial Crime, 31(3), 748-758.
Roscoe, J. T. (1975). Fundamental research statistics for the behavioural sciences (2nd ed.). Holt Rinehart & Winston.
Royal Malaysian Police (2022). https://www.rmp.gov.my/news-detail/2022/11/10/artikel-pilihan-scam-alert-tips-on-how-to-spot-online-scams-and-protect-your-digital-footprint.
Reurink, A. (2018). Financial fraud: A literature review. Journal of Economics Survey, 32(5), 1292-1325.
Sarno, D. M., & Black, J. (2024). Who gets caught in the web of lies?: Understanding susceptibility to phishing emails, fake news headlines, and scam text messages. Human Factors, 66(6), 1742-1753
Sharma, S., Singh, G., Gaur, L., & Sharma, R. (2022). Does psychological distance and religiosity influence fraudulent customer behaviour? International Journal of Consumer Studies, 46(4), 1468-1487.
Statista. (2022). E-commerce fraud - statistics & facts. https://www.statista.com/topics/9240/e-commerce-fraud/#topicOverview
Statista. (2024). Number of e-commerce scams in Malaysia 2021-2023. https://www.statista.com/statistics/1346657/malaysia-number-of-e-commerce-scams/
Wang, Z., Zhu, H., & Sun, L. (2021). Social engineering in cybersecurity: Effect mechanisms, human vulnerabilities and attack methods. IEEE Access, 9, 11895-11910.
Wikström, P. O. H., & Kroneberg, C. (2022). Analytic criminology: Mechanisms and methods in the explanation of crime and its causes. Annual Review of Criminology, 5, 179-203.
Wong, A. T. T. (2019). A study of purchase intention on smartphones of post-90s in Hong Kong. Asian Social Science, 15(6), 78.
Wood, W. (2000). Attitude change: Persuasion and social influence. Annual Review of Psychology, 51(1), 539-570.
Yazdanmehr, A., Wang, J., & Yang, Z. (2020). Peers matter: The moderating role of social influence on information security policy compliance. Information Systems Journal, 30(5), 791-844.
Zwilling, M., Klien, G., Lesjak, D., Wiechetek, ?., Cetin, F., & Basim, H. N. (2022). Cyber security awareness, knowledge and behavior: A comparative study. Journal of Computer Information Systems, 62(1), 82-97.
Balakrishnan, T., & Bakar, E. A. (2024). Factors that Enhance Consumer Self-Protection Against Online Shopping Scams. International Journal of Academic Research in Business and Social Sciences, 14(10), 2088–2097.
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