Factors influencing users’ satisfaction with online agricultural products in China’s first and second-tier cities under the epidemic
List of Authors
  • Nur Jannah Bukhari , Wu, Xingyuan

Keyword
  • Agricultural product, consumerism, online shopping, China, pandemic, COVID-19

Abstract
  • The Covid-19 crisis brought with it significant changes to human lives including changes to behaviour. Particularly, the Coronavirus lockdowns and other restrictions contributed to the rise of online shopping for agricultural products in China’s first and second-tier cities. The core aim of the investigation is to evaluate the factors that influence the satisfaction of users with online agricultural products in first and second-tier cities in China during the pandemic. The research methodology is qualitative and relies on interpretivism to examine the experiences regarding the satisfaction of users with online agricultural products in first and second- tier cities in China during the crisis. An inductive approach is applied and the specific data collection instrument in this research entails semi-structured interviews to facilitate a comprehensive inquiry and gain rich insights. Semi-structured interview sessions are conducted with 30 participants including Chinese shoppers who used online agricultural products between 2019 and 2022 just before the Covid-19 crisis or during the pandemic. The research findings indicate that optimism was found to be crucial to the increased consumption of online agricultural products and high quality emerged as the most influential factor behind users’ satisfaction with online agricultural products. However, online agricultural product sellers in China need to ensure excellence in their operations to succeed in the competitive online marketplace. Conclusively, this investigation achieved its overarching aim of evaluating the factors that influence the satisfaction of users with online agricultural products in first and second-tier cities in China during the pandemic.

Reference
  • 1. Adams, W. (2015, 2 August), Conducting semi-structured interviews. https://www.researchgate.net/publication/301738442_Conducting_Semi-Structured_Interviews
    2. Brady, M. K., and Cronin, J. J. (2001). Customer orientation: effects on customer service perceptions and outcome behaviors. Journal of Service Research, 3(3), 241-251.
    3. Brammer, S., Branicki, L., & Linnenlucke, M. (2020), “Covid-19, societalization and the future of business in society”, Academy of Management Perspectives, http://dx.doi.org/doi:10.5465/amp.2019.0053
    4. Chen, J. & Yang, C. (2021). How Covid-19 affects agricultural food sale. Agriculture, 11, https://doi.org/10.3390/agriculture11121285
    5. Chunshang, W. (2020). Research on influencing factors of consumer satisfaction in agricultural e-commerce supply chain. Journal of Physics Conference Series, 1607(1),1-7.
    6. Elflein, J. (2022, 22 August). Coronavirus (Covid-19) disease pandemic-statistics & facts. Statista. https://www.statista.com/topics/5994/the-coronavirus-disease-covid-19-outbreak/#dossierKeyfigures
    7. Elkhani, N. & Bakri, A. (2017). Review on “expectancy disconfirmation theory” (EDT) model in B2C e-commerce. Journal of Research and Innovation in Innovation Systems, 1-13.
    8. Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process, Journal of Advanced Nursing, 62(1), 107–115.
    9. Hao, H., Guo, J., Xin, Z., & Qiao, J. (2021). Research on e-commerce distribution optimization of rice agricultural products based on consumer satisfaction. IEEE Access, 9, 135304-135315.
    10. Huang, Y. and Qian, L. (2018). Consumer preferences for electric vehicles in lower tier cities of China. Transportation Research Part D: Transport and Environment, 63, 482-497.
    11. Hong, W., Zheng, C., Wu, L., & Pu, X. (2019). Analyzing the relationship between consumer satisfaction and fresh e-commerce logistics service using text mining techniques. Sustainability, 11(13), https://doi.org/10.3390/su11133570.
    12. Jebreen, I. (2012). Using inductive approach as research strategy in requirements engineering. International Journal of Computer and Information Technology, 1(2), 162-174.
    13. Jones, R. E. & Abdelfattah, K. R. (2020). Virtual interviews in the era of Covid-19: A primer for applicants. Journal of Surgical Education, 733-734.
    14. Khan, S. (2014). Qualitative research method: Grounded theory, International Journal of Business and Management, 9(11), 224-234.
    15. Liu, X. & Kao, Z. (2022). Research on influencing factors of customer satisfaction of e-commerce of characteristic agricultural products. Procedia Computer Science, 199, 1505-1512.
    16. Maren, I. E., Wiig, H., McNeal, K., Wang, S. & Zu, S. (2022). Diversified farming systems. Frontiers in Sustainable Food Systems. https://www.frontiersin.org/articles/10.3389/fsufs.2022.887707/full
    17. Oliver, R. L. (1980). A cognitive model of the antecedents of satisfaction decisions, Journal of Marketing Research, 17, 46-49.
    18. Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. Irwin McGraw-Hill.
    19. Oun, M. A. & Bach, C. (2014). Qualitative research method summary. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 1(5), 252-258.
    20. Phillips, M., & Lu, J. (2018). A quick look at NVivo, Journal of Electronic Resources Librarianship, 30(2),104–106.
    21. Rai, N. & Thapa, B. (2015). A study on purposive sampling method in research. https://www.academia.edu/28087388/A_STUDY_ON_PURPOSIVE_SAMPLING_METHOD_IN_RESEARCH
    22. Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students. (7th ed). Pearson.
    23. Sun, Y., Von Zedtwitz, M., & Simon, D. F. (2013). Global R&D in China. Routledge.
    24. The World Bank. (2021, 17 February), How Covid-19 is affecting companies around the world. The World Bank. https://www.worldbank.org/en/news/infographic/2021/02/17/how-covid-19is-affecting-companies-around-the-world
    25. Venkatesh, V. (2020). Impacts of COVID-19: A research agenda to support people in their fight. International Journal of Information Management, https://doi.org/10.1016/j.ijinfomgt.2020.102197
    26. Wang, X. & Zhang, J. (2020). Factors influencing Chinese online shopping distributions of fresh agricultural products. Journal of Distribution Science, 18(10), 53-64.
    27. Wenji, W. (2021). Study on inventions of fresh food in commercial aspects using e-commerce over the internet. Acta Agriculturae Scandinavica, Section B, 71(4), 303-310.
    28. Yanyan, W. (2018). Empirical analysis of factors influencing consumers’ satisfaction in online shopping agricultural products in China, Journal of Electronic Commerce in Organizations, 16(3),64–77.
    29. Yüksel, A., & Yüksel, F. (2001). The expectancy-disconfirmation paradigm: a critique. Journal of Hospitality & Tourism Research, 25(2),107–131.
    30. Zheng, H. & Ma, W. (2021). Click it and buy happiness: does online shopping improve subjective well-being of rural residents in China? Applied Economics, 53(36), 4192-4206.