The use of online shopping is expected to be able to reduce the spread of covid 19. The use of online shopping will reduce face-to-face encounters in shopping activities for daily needs. However, if the online system does not draw users' interest, the system will not be used optimally. Therefore this study aims to identify the influence of subjective norms in explaining the intention to use online shopping in Malaysia. This research is quantitative in nature and uses a form of non-probability sampling. The survey respondents were 280 individuals. The instruments used in this study have been borrowed from previous researchers. The results of the analysis showed that the model was capable of explaining as much as 26% of the variance. Subjective norms were found to have a positive and significant influence on the intention to use online shopping.
Azjen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior1. Journal of Applied Social Psychology.
Chang, M. K. (2013). Predicting unethical behavior: A comparison of the theory of reasoned action and the theory of planned behavior. In Citation Classics from The Journal of Business Ethics: Celebrating the First Thirty Years of Publication. https://doi.org/10.1007/978-94-007-4126-3_21
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers and Education. https://doi.org/10.1016/j.compedu.2012.04.015
Christina. (2017). Attitude, Subjective Norms, Perceived Behavior, Entrepreneurship Education and Self-efficacy toward Entrepreneurial Intention University Student in Indonesia. EUROPEAN RESEARCH STUDIES JOURNAL, XX(Issue 2A), 475–495. https://doi.org/10.35808/ersj/654
Du, H., Liu, D., Sovacool, B. K., Wang, Y., Ma, S., & Li, R. Y. M. (2018). Who buys New Energy Vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 56–69. https://doi.org/10.1016/j.trf.2018.05.008
Hasan, B. (2010). Exploring gender differences in online shopping attitude. Computers in Human Behavior, 26(4), 597–601. https://doi.org/10.1016/j.chb.2009.12.012
Ho, S. M., Ocasio-Velazquez, M., & Booth, C. (2017). Trust or consequences? Causal effects of perceived risk and subjective norms on cloud technology adoption. Computers and Security. https://doi.org/10.1016/j.cose.2017.08.004
Jia, Q., Guo, Y., & Barnes, S. J. (2017). Enterprise 2.0 post-adoption: Extending the information system continuance model based on the technology-Organization-environment framework. Computers in Human Behavior, 67, 95–105.
https://doi.org/10.1016/j.chb.2016.10.022
Kashif, M., Zarkada, A., & Ramayah, T. (2018). The impact of attitude, subjective norms, and perceived behavioural control on managers’ intentions to behave ethically. Total Quality Management & Business Excellence, 29(5–6), 481–501.
https://doi.org/10.1080/14783363.2016.1209970
Katawetawaraks, C., & Wang, C. L. (2011). Online Shopper Behavior: Influences of Online Shopping Decision. Asian Journal of Business Research.
https://doi.org/10.14707/ajbr.110012
Lai, H.-J. (2017). Examining civil servants’ decisions to use Web 2.0 tools for learning, based on the decomposed theory of planned behavior. Interactive Learning Environments, 25(3), 295–305. https://doi.org/10.1080/10494820.2015.1121879
Liu, J., An, K., & Jang, S. C. (Shawn). (2020). A model of tourists’ civilized behaviors: Toward sustainable coastal tourism in China. Journal of Destination Marketing and Management. https://doi.org/10.1016/j.jdmm.2020.100437
Moshrefjavadi, M. H., Dolatabadi, R. H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012). An Analysis of Factors Affecting on Online Shopping Behavior of Consumers. International Journal of Marketing Studies, 4(5). https://doi.org/10.5539/ijms.v4n5p81
Mouakket, S. (2015). Factors influencing continuance intention to use social network sites: The Facebook case. Computers in Human Behavior.
https://doi.org/10.1016/j.chb.2015.06.045
Nugroho, A., Najib, M., & Simanjuntak, M. (2018). Factors Affecting Consumer Interest In Electronic Money Usage With Theory Of Planned Behavior (TPB). Journal of Consumer Sciences, 3(1), 15. https://doi.org/10.29244/jcs.3.1.15-27
Nystrand, B. T., & Olsen, S. O. (2020). Consumers’ attitudes and intentions toward consuming functional foods in Norway. Food Quality and Preference, 80, 103827. https://doi.org/10.1016/j.foodqual.2019.103827
Onel, N. (2017). Pro-environmental Purchasing Behavior of Consumers. Social Marketing Quarterly, 23(2), 103–121. https://doi.org/10.1177/1524500416672440
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly: Management Information Systems. https://doi.org/10.2307/25148720
Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management.
https://doi.org/10.1016/j.tourman.2009.08.006
Alam, S., & Sayuti, M. N. (2011). Applying the Theory of Planned Behavior (TPB) in halal food purchasing. International Journal of Commerce and Management.
https://doi.org/10.1108/10569211111111676
Urbanovich, T., & Bevan, J. L. (2020). Promoting Environmental Behaviors: Applying the Health Belief Model to Diet Change. Environmental Communication.
https://doi.org/10.1080/17524032.2019.1702569
Wang, B., Li, J., Sun, A., Wang, Y., & Wu, D. (2020). Residents’ green purchasing intentions in a developing-country context: Integrating PLS-SEM and MGA methods. Sustainability (Switzerland). https://doi.org/10.3390/SU12010030
Wang, R. J. H., Malthouse, E. C., & Krishnamurthi, L. (2015). On the Go: How Mobile Shopping Affects Customer Purchase Behavior. Journal of Retailing, 91(2), 217–234. https://doi.org/10.1016/j.jretai.2015.01.002
Xiao, M. (2020). Factors Influencing eSports Viewership: An Approach Based on the Theory of Reasoned Action. Communication & Sport, 8(1), 92–122.
https://doi.org/10.1177/2167479518819482
Zhang, H., Li, L., Yang, Y., & Zhang, J. (2018). Why do domestic tourists choose to consume local food? The differential and non-monotonic moderating effects of subjective knowledge. Journal of Destination Marketing & Management, 10, 68–77. https://doi.org/10.1016/j.jdmm.2018.06.001
In-Text Citation: (Othman & Sudarmin, 2022)
To Cite this Article: Othman, N. H., & Sudarmin, S. F. (2022). Measuring Subjective Norms of Online Shopping Behavior: Evidence from Developing Country. International Journal of Academic Research in Business and Social Sciences, 12(12), 1486– 1490.
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