Online Purchase Intention of E-Commerce Consumers West Java: Application of the Extended Technology Acceptance Model
##plugins.themes.academic_pro.article.main##
Abstract
The aimed of this research is to determine the effect Perceived usefulness dan perceived ease of use on online buying interest in the West Java region. This study uses a quantitative exploration strategy through the use of surveys. The population of this research is internet users who come from West Java, Indonesia. The sampling technique used in this study namely purposive sampling. Overall, there were 190 questionnaires distributed, and 178 (93.7%) questionnaires that could be used for statistical testing. The statistical analysis technique used in this study is the regression test using STATA. This research found perceived usefulness and perceived ease of use can affect online purchase intention. The contribution that can be made from this research is that perceived usefulness has the biggest impact on online purchase intention.
##plugins.themes.academic_pro.article.details##
References
Amirtha, R., & Sivakumar, V. J. (2018). Does family life cycle stage influence e-shopping acceptance by Indian women? An examination using the technology acceptance model. Behaviour & Information Technology, 37(3), 267–294.
Barkhi, R., & Wallace, L. (2007). The impact of personality type on purchasing decisions in virtual stores. Information Technology and Management, 8, 313–330.
Broekhuizen, T., & Huizingh, E. K. R. E. (2020). Investigating the effect of consumer traits on the relative importance of TAM constructs in an e-commerce context.
Carlos Roca, J., José García, J., & José de la Vega, J. (2009). The importance of perceived trust, security and privacy in online trading systems. Information Management & Computer Security, 17(2), 96–113.
Chen, Y.-Y. (2012). Why do consumers go internet shopping again? Understanding the antecedents of repurchase intention. Journal of Organizational Computing and Electronic Commerce, 22(1), 38–63.
Chiu, Y., Lin, C., & Tang, L. (2005). Gender differs: assessing a model of online purchase intentions in e‐tail service. International Journal of Service Industry Management, 16(5), 416–435.
Cho, Y. C., & Sagynov, E. (2015). Exploring factors that affect usefulness, ease of use, trust, and purchase intention in the online environment. International Journal of Management & Information Systems, 19(1), 21–36.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.
Harjadi, D., & Manalu, V. G. (2022). Trusting Belief E-Commerce Dalam Mediasi Pengaruh Online Store Image Pada Purchase Intention. Yayasan Wiyata Bestari Samasta.
He, D., Lu, Y., & Zhou, D. (2008). Empirical study of consumers’ purchase intentions in C2C electronic commerce. Tsinghua Science & Technology, 13(3), 287–292.
Hu, Y., Sun, X., Zhang, J., Zhang, X., Luo, F., & Huang, L. (2009). A university student behavioral intention model of online shopping. 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, 1, 625–628.
Kim, H., & Song, J. (2010). The quality of word‐of‐mouth in the online shopping mall. Journal of Research in Interactive Marketing, 4(4), 376–390.
Kim, S., & Jones, C. (2009). Online shopping and moderating role of offline brand trust. Direct Marketing: An International Journal, 3(4), 282–300.
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755.
KOMINFO. (2023). Kembangkan Ekonomi Digital, Indonesia Butuh Talenta Digital Berkualitas. https://www.kominfo.go.id/content/detail/47689/siaran-pers-no-28hmkominfo032023-tentang-kembangkan-ekonomi-digital-indonesia-butuh-talenta-digital-berkualitas/0/siaran_pers
Lai, E., & Wang, Z. (2012). An empirical research on factors affecting customer purchasing behavior tendency during online shopping. 2012 IEEE International Conference on Computer Science and Automation Engineering, 583–586.
Laohapensang, O. (2009). Factors influencing internet shopping behaviour: a survey of consumers in Thailand. Journal of Fashion Marketing and Management: An International Journal, 13(4), 501–513.
Levy, P. S., & Lemeshow, S. (2013). Sampling of populations: methods and applications. John Wiley & Sons.
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, 401–410.
Moslehpour, M., Pham, V. K., Wong, W.-K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.
Pink, M., & Djohan, N. (2021). Effect of ecommerce post-purchase activities on customer retention in Shopee Indonesia. Enrichment: Journal of Management, 12(1), 519–526.
Rehman, S. U., Bhatti, A., Mohamed, R., & Ayoup, H. (2019). The moderating role of trust and commitment between consumer purchase intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9(1), 1–25.
Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 561–570.
Thananuraksakul, S. (2007). Factors influencing online shopping behavior intention: A study of Thai consumers. AU Journal of Management, 5(1), 41–46.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Wilson, N. (2019). The impact of perceived usefulness and perceived ease-of-use toward repurchase intention in the Indonesian e-commerce industry. Jurnal Manajemen Indonesia, 19(3), 241–249.
Xiaoyang, Z. (2021). Linking the Determinants of Online Shopping Behavior, Full Nest Consumers, and Behavioral Intentions-A Conceptual Review and Framework. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 1696–1706