ISSN: 2222-6990
Open access
Online purchase has become a norm in Malaysia after the COVID-19 pandemic. It is one of measures to cope with the rapid spread of the virus. Royal Malaysian Police (RMP) staff are not left behind in following the current trend. The present study is intended to determine the factors that influence them to engage in online purchase although they are very busy in ensuring the public safety. Data were collected using online survey distributed conveniently to the staff. After the lapse of the allocated data collection period, 150 responses were received and analyzed. Out of five factors that have been selected as the independent variables only two are significant to influence online purchase intention among the RMP staff, which are attitude and perceived usefulness. Perceived ease of use, subjective norms, and perceived behavioral control are not significant to influence staff online purchase intention. The findings indicate that only those who have the right attitude towards online purchase and those who find online purchase is beneficial to them will engage in online purchase.
Ajzen, I. (1975). The theory of planned behavior. Organizational Behavior and Human Decision Processes.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I. (2002). Perceived behavioral control, self?efficacy, locus of control, and the theory of planned behavior 1. Journal of applied social psychology, 32(4), 665-683.
Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychological bulletin, 127(1), 142.
Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research.
Athapathuthu, J. C., Kulathunga, K. M. S. (2018), Factors affecting online purchase intention: A study of Sri Lankan online customers. International Journal of Scientific and Technology Research, 7(9), 120-125.
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational behavior and human decision processes, 50(2), 248-287.
Bigne?Alcaniz, E., Ruiz?Mafe, C., Aldas?Manzano, J., & Sanz?Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review.
Chang, M. K. (1998). Predicting unethical behavior: a comparison of the theory of reasoned action and the theory of planned behavior. Journal of business ethics, 17(16), 1825-1834.
Cheung, M. F., & To, W. M. (2017). The influence of the propensity to trust on mobile users' attitudes toward in-app advertisements: An extension of the theory of planned behavior. Computers in Human Behavior, 76, 102-111.
Dash, S. B., & Saji, K. B. (2006). Role of effective Website-Design in online shopping: A large scale empirical study in the Indian Context. Marketing in the New Global Order, Challenges and Opportunities, Excel Books, 435, 451.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
eMarketer. (2015). eMarketer Midyear 2015 Product Update. Retrieved from https://www.insiderintelligence.com/newsroom/index.php/emarketer-midyear-2015-product-update/
Feng, X., Fu, S., & Qin, J. (2016). Determinants of consumers’ attitudes toward mobile advertising: The mediating roles of intrinsic and extrinsic motivations. Computers in Human Behavior, 63, 334-341.
Gefen, D., Karahanna, E., & Straub, D. W. (2003a). Trust and TAM in online shopping: An integrated model. MIS quarterly, 51-90.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on engineering management, 50(3), 307-321.
Gopi, M., & 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.
Gupta, S. L., Nayyar, R., & Nayyar, A. (2010). To study the impact of website factors on consumer online buying behavior in India. Iitm Journal of Management and IT, 2(1), 3-15.
Ha, N. T., Nguyen, T. L. H., Nguyen, T. P. L., & Nguyen, T. Do. (2019). The effect of trust on consumers’ online purchase intention (OPI): An integration of tam and TPB Management Science Letters, 9(9), 1451–1460
https://doi.org/10.5267/j.msl.2019.5.006
Han, B., Kim, M., & Lee, J. (2018). Exploring consumer attitudes and purchasing intentions of cross-border online shopping in Korea. Journal of Korea Trade, 22(2), 86–104. https://doi.org/10.1108/jkt-10-2017-0093
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.
Lien, C. H., & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in human behavior, 41, 104-111.
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention. Procedia Economics and Finance, 35 (October 2015), 401–410. https://doi.org/10.1016/s2212-5671(16)00050-2
Martin, J., Mortimer, G., & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of retailing and consumer services, 25, 81-95.
Noviarni, N. (2014). Peningkatan Kreativitas Mahasiswa Pendidikan Matematika Dalam Mengembangkan LKS Matematika Sekolah Melalui Latihan Terbimbing Di UIN Suska Riau. Edumatica: Jurnal Pendidikan Matematika, 4(01).
Patel, V. B., & Asthana, A. K. (2015). Risk, Trust, Shopping Enjoyment and Consumer Online Shopping Intention. International Journal of Engineering and Management Research (IJEMR), 5(1), 172-175.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS quarterly, 115-143.
Rehman, S., & Coughlan, J. (2012, June). Building trust for online shopping and their adoption of e-commerce. In International Conference on Information Society (i-Society 2012) (pp. 456-460). IEEE.
Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & management, 44(1), 90-103.
Selamat, Z., Jaffar, N., & Ong, B. H. (2009). Technology acceptance in Malaysian banking industry. European journal of economics, finance and administrative sciences, 1(17), 143-155.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & sons.
Shaheen, S. A., Mallery, M. A., & Kingsley, K. J. (2012). Personal vehicle sharing services in North America. Research in Transportation Business & Management, 3, 71-81.
Shaouf, A., Lu, K., & Li, X. (2016). The effect of web advertising visual design on online purchase intention: An examination across gender. Computers in Human Behavior, 60, 622-634.
Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information & management, 41(3), 351-368.
Wang, Y. (2003). On cognitive informatics. Brain and Mind, 4(2), 151-167.
Yoh, E., Damhorst, M. L., Sapp, S., & Laczniak, R. (2003). Consumer adoption of the Internet: The case of apparel shopping. Psychology & Marketing, 20(12), 1095-1118.
In-Text Citation: (Anisha et al., 2022)
To Cite this Article: Anisha, S. A., Rahim, A. K. O., & Abd, N. N. (2022). Factors Influencing Online Purchase Intention among Staff from Royal Malaysian Police (RMP) Headquarters. International Journal of Academic Research in Business and Social Sciences, 12(9), 1963 – 1976.
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