Factors Influencing Sichuan Consumers' Purchase Intention on E-Commerce in the Apparel Industry
DOI:
https://doi.org/10.61132/greeninflation.v1i3.67Keywords:
Consumer Purchase Intention, E-Commerce, Apparel IndustryAbstract
This study investigates the factors influencing Sichuan consumers' purchase intention on e-commerce in the apparel industry. The economic advantages of live streaming and e-commerce have attracted widespread attention, and researchers are particularly keen on delving into the psychological impact of these new channels on consumers' buying behavior. The emergence of new sales channels in the apparel sector is increasingly vital in stimulating sales growth. The number of respondents for this study was 395. The results of this study show that consumers’ purchase intention for e-commerce in the apparel industry would be impacted by performance expectation, effort convenience, perceived usefulness, perceived behavior control expectation, and social impact. These findings have practical implications for marketers and e-commerce platforms, enhancing the consumer experience and increasing purchase intention.
Downloads
References
Bhatnagar, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30(4), 411-420.
Blut, M. (2016). E-service quality: Development of a hierarchical model. Journal of Retailing, 92(4), 500-517.
Cai, J., & Wohn, D. Y. (2019). Live streaming commerce: Uses and gratifications approach to understanding consumers’ motivations. Proceedings of the 52nd Hawaii International Conference on System Sciences, 11, 2549-2557.
China Garment Association. (2022). 2021-2022 China's clothing e-commerce development report.
Clemes, M. D., Gan, C., & Zhang, J. (2014). An empirical analysis of online shopping adoption in Beijing, China. Journal of Retailing and Consumer Services, 21(3), 364–375.
Davis, F. D. (1986). The technology acceptance model for empirically testing new end-user information systems: Theory and results. MIT Sloan School of Management, 11-20.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum. Psychology Management, 13, 20-35.
Delafrooz, N., Paim, L. H., & Khatibi, A. (2010). The online shopping behaviour of students: An empirical study. Journal of American Science, 6(1), 137–147.
George, J. F. (2004). The theory of planned behavior and internet purchasing. Internet Research, 14(3), 198–212.
Hew, T. S., & Kadir, S. A. (2017). Applying channel expansion and self-determination theory in predicting use behaviour of cloud-based VLE. Behaviour & Information Technology, 36(9), 875–896.
Hong, C., Choi, H., Choi, E. K., & Joung, H. W. (2021). Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic. Journal of Hospitality and Tourism Management, 48, 509–518.
Hsu, C. L., Lin, J. C. C., & Chiang, H. S. (2013). The effects of blogger recommendations on customers’ online shopping intentions. Internet Research, 23(1), 69-88.
Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012). The impact of website quality on customer satisfaction and purchase intention: Perceived playfulness and perceived flow as mediators. Information Systems and e-Business Management, 10, 549-570.
Hwang, Y. (2010). The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation. Computers in Human Behavior, 26(6), 1753–1760.
Jayawardhena, C., Wright, L. T., & Dennis, C. (2007). Consumers online: Intentions, orientations, and segmentation. International Journal of Retail & Distribution Management, 35, 515–526.
Kadam, P., & Bhalerao, S. (2010). Sample size calculation. International Journal of Ayurveda Research, 1(1), 55-57.
Li, F., Frederick, S., & Gereffi, G. (2018). E-commerce and industrial upgrading in the Chinese apparel value chain. Journal of Contemporary Asia, 49(1), 24-53.
Luthfihadi, M., & Dhewanto, W. (2013). Technology acceptance of e-commerce in Indonesia. International Journal of Engineering Innovation and Management, 3(1), 9-18.
Przymuszała, P., Szmelter, J., Zielińska-Tomczak, Ł., Cerbin-Koczorowska, M., & Marciniak, R. (2023). Future physicians’ behavioral intentions towards collaborative practice: A qualitative study on Polish final-year medical students guided by the theory of planned behavior. BMC Medical Education, 23(1), 1–14.
Rao, K. R., & Patro, C. S. (2017). Influence of perceived benefits on consumers' online purchase behavior: An empirical study. International Journal of Sociotechnology and Knowledge Development, 9, 38–64.
Renny, G. S., & Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airline ticket purchase. Procedia - Social and Behavioral Sciences, 81, 212–216.
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), 1-14.
Ruangkanjanases, A., You, J., Chien, S., Ma, Y., Chen, S., & Chao, L. (2020). Elucidating the effect of antecedents on consumers’ green purchase intention: An extension of the theory of planned behavior. Frontiers in Psychology, 11, 37-45.
Shah, R. P. (2023). A study on online brand awareness and consumer satisfaction towards organic products. International Research Journal of Modernization in Engineering Technology and Science, 4(5), 1130-1142.
Wang, H., & Yin, H. (2021). Research on Chinese consumer behavior and optimization of e-commerce platform marketing in the context of post epidemic situation. Journal of Modern Management and Education Technology, 4, 1011-1023.
Wang, X., Pacho, F., Liu, J., & Kajungiro, R. (2019). Factors influencing organic food purchase intention in developing countries and the moderating role of knowledge. Sustainability, 11(1), 209-235.
Wei, Z., Lee, M.-Y., & Shen, H. (2018). What drives consumers in China to buy clothing online? Application of the technology acceptance model. Journal of Textiles and Fibrous Materials, 1, 1-10.
Wilson, N., & Keni, K. (2021). The role of perceived usefulness and perceived ease-of-use toward satisfaction and trust which influence computer consumers' loyalty in China. Gadjah Mada International Journal of Business, 23(3), 262-294.
Xu, X. (2020). Research on marketing strategy of B2C e-commerce platform based on marketing strategy triangle model. Advances in Economics, Business, and Management Research, 126, 314-319.
Xu, X., Wu, J., & Li, Q. (2020). What drives consumer shopping behavior in live streaming commerce? Journal of Electronic Commerce Research, 21(3), 144-148.
Yang, Q., Pang, C., Liu, L., Yen, D. C., & Michael, T. J. (2015). Exploring consumer perceived risk and trust for online payments: An empirical study in China's younger generation. Computers in Human Behavior, 50, 9–24.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Green Inflation: International Journal of Management and Strategic Business Leadership
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
