The Influencing Factors of E-Commerce Agricultural Sales on Chongqing Consumers' Purchase Intention in the Era of New Social Media

Authors

  • Wenxiu Ran North Bangkok University

Keywords:

E-Commerce Agricultural Sales, Purchase Intention, New Social Media

Abstract

With the advent of e-commerce, a new model has surfaced-community e-commerce. This model fosters a community of users with shared interests and values, offering targeted content marketing to cater to their specific needs. By investigating the factors that shape customers' purchasing decisions on community e-commerce platforms, we can unearth invaluable insights into the sustainable growth of this model. Agricultural retailers are confronted with customer attrition due to channel integration. Therefore, providing a consistent online shopping experience in an omnichannel environment has become necessary to meet customers' expectations. The study, encompassing 385 respondents, underscores that consumers’ online purchase intention on e-commerce agricultural sales in the era of new social media is influenced by their motivation, perceived value, and perceived attitude, thereby highlighting the significance of these factors in shaping consumer behavior.

References

Aertsens, J., Verbeke, W., Mondelaers, K., & Van Huylenbroeck, G. (2009). Personal determinants of organic food consumption: A review. British Food Journal, Vol 111(10), pp.1140–1167. https://doi.org/10.1108/00070700910992961.

Akram, U., Junaid, M., Zafar, A. U., Li, Z., & Fan, M. (2021). Online Purchase Intention in Chinese Social Commerce Platforms: Being Emotional or Rational? Journal of Retailing and Consumer Services, Vol 63, 102669. https://doi.org/10.1016/j.jretconser.2021.102669.

Chen, C. C., Hsiao, K. L., & Wu, S. J. (2018). Purchase intention in social commerce. Library Hi Tech, Vol 36(4), pp.583–604. https://doi.org/10.1108/LHT-01-2018-0007.

Chen, H., Zhang, Y., & Guo, W. (2020). A Study on the Impact of Influencers on Fans’ Purchase Intention in Live Broadcasting Platforms. China Bus. Mark, Vol 34, pp.28–37.

Davis, F. D., & Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol 13, pp.319. https://doi.org/10.2307/ 249008.

Etikan, I. and Babatope, O. (2019). A Basic Approach in Sampling Methodology and Sample Size Calculation. Medtext Publications, Vol 1, pp.50-54.

Gan, C., & Wang, W. (2017). The influence of perceived value on purchase intention in social commerce context. Internet Research, Vol 27(4), pp.772–785. https://doi.org/10.1108/IntR-06- 2016-0164.

Gong, W., Stump, R., & Maddox, L. (2013). Factors Influencing Consumers’ Online Shopping in China. Journal of Asia Business Studies, Vol 7(3), pp.214–230.

Jin, M., Li, G., & Cheng, T. C. E. (2018). Buy online and pick up in-store: Design of the service area. Eur. J. Oper. Res, Vol 268, pp.613–623. doi: 10.1016/j.ejor.2018.02.002

Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from the Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol 30(4), pp.421–432.

Mehrabian, A.; Russell, J.A. A Verbal Measure of Information Rate for Studies in Environmental Psychology. Environ. Behav. 1974, 6, 233–252.

Onofrei, G., Filieri, R., & Kennedy, L. (2022). Social media interactions, purchase intention, and behavioral engagement: The mediating role of source and content factors. J. Bus. Res, Vol 142, pp.100–112.

Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using the theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services, Vol 29, pp.123–134. https://doi.org/10.1016/j.jretconser.2015.11.006.

Richards, T. J., Hamilton, S. F., & Empen, J. (2017). Attribute search in online retailing. Am. J. Agric. Econ, Vol 99, pp.225–242. doi: 10.1086/209498

Sheth, J., Newman, B., & Gross, B. (1992). Consumption Values and Market Choices: Theory and Applications. J. Mark. Res, Vol 29, pp.487–489.

Song, H. G., & Jo, H. (2023). Understanding the continuance intention of omnichannel: Combining TAM and TPB. Sustainability, Vol 15(4), pp.30-39.

Voon, T. J. P., Ngui, K. S., & Agrawal, A. (2011). Determinants of willingness to purchase organic food: An exploratory study using structural equation modeling. International Food and Agribusiness Management Review, Vol 14(1030-2016-82772), pp.103–120.

Wang, X. & Wang, X. (2019). Socialization, Traffic Distribution, and E-commerce Trends: An Interpretation of the Phenomenon of “Pingduoduo.” China Soft Sci, Vol 34, pp.47–59.

Wu, Y., & Huang, H. (2023). Influence of Perceived Value on Consumers’ Continuous Purchase Intention in Live-Streaming E-Commerce—Mediated by Consumer Trust. Sustainability, Vol 15(5), 4432.

Yan, B., Chen, X., Cai, C., & Guan, S. (2020). Supply chain coordination of fresh agricultural products based on consumer behavior. Comput. Oper. Res, 123:105038. Doi: 10.1016/j.cor.2020.105038

Yan, X., Dong, Y., Zhang, M., & Qiao, J. (2021). Research on the Impact of Live Broadcasting on Consumers’ Buying Behavior—Intermediate by Perceived Value. Price Theor. Pract. Mag. House, Vol 6, pp.137–140.

Zheng, Q., Chen, J., Zhang, R., & Wang, H. H. (2020). What factors affect Chinese consumers’ online grocery shopping? Product attributes, e-vendor characteristics, and consumer perceptions. China Agric. Econ. Rev, Vol 12, pp.193–213. doi: 10.1108/CAER-09-2018-0201

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Published

2024-04-30

How to Cite

Ran, W. (2024). The Influencing Factors of E-Commerce Agricultural Sales on Chongqing Consumers’ Purchase Intention in the Era of New Social Media. EBISTEK : Ekonomika, Bisnis Dan Teknologi, 7(1), 78-85. Retrieved from https://unaki.ac.id/ejournal/index.php/ebistek/article/view/618