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Factors Influencing Consumer Satisfaction of Fresh Produce E-Commerce in the Background of COVID-19—A Hybrid Approach Based on LDA-SEM-XGBoost

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  • Gaofeng Guan

    (School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou 310012, China
    School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China)

  • Dong Liu

    (School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou 310012, China)

  • Jiayang Zhai

    (School of Science, Zhejiang University of Science and Technology, Hangzhou 310012, China)

Abstract

In order to clarify the influencing factors of fresh produce e-commerce consumer satisfaction in the context of COVID-19, a hybrid approach based on LDA-SEM-XGBoost was proposed by studying online reviews. Firstly, topic elements were extracted through the LDA topic model, PLS-SEM was established to explore the paths between variables, and XGBoost models were applied to rank the importance of each topic variable based on satisfaction. The results showed that epidemic factors had a significant impact on logistics factors, product factors, and platform factors, with the epidemic factors having the greatest impact on logistics factors. Logistics factors, product factors, platform factors, and epidemic factors had a significant impact on consumer satisfaction, with logistics factors having the greatest impact on satisfaction. The topic variables affecting fresh produce e-commerce consumer satisfaction were, in order: logistics time, shipping speed, product quality, delivery speed, after-sales strategy, logistics packaging, product price, the impact of COVID-19, marketing strategy, and product brand. Based on these findings, recommendations are made for the sustainable production and marketing of fresh produce.

Suggested Citation

  • Gaofeng Guan & Dong Liu & Jiayang Zhai, 2022. "Factors Influencing Consumer Satisfaction of Fresh Produce E-Commerce in the Background of COVID-19—A Hybrid Approach Based on LDA-SEM-XGBoost," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16392-:d:996663
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    References listed on IDEAS

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    1. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    2. Wei Hong & Changyuan Zheng & Linhai Wu & Xujin Pu, 2019. "Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques," Sustainability, MDPI, vol. 11(13), pages 1-16, June.
    3. Wu Yanyan, 2018. "Empirical Analysis of Factors Influencing Consumers' Satisfaction in Online Shopping Agricultural Products in China," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 16(3), pages 64-77, July.
    4. Ralph L. Keeney, 1999. "The Value of Internet Commerce to the Customer," Management Science, INFORMS, vol. 45(4), pages 533-542, April.
    5. Zeng, Yiwu & Jia, Fu & Wan, Li & Guo, Hongdong, 2017. "E-commerce in agri-food sector: a systematic literature review," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(4), February.
    6. Jeong-Eun Park & Eungoo Kang, 2022. "The Mediating Role of Eco-Friendly Artwork for Urban Hotels to Attract Environmental Educated Consumers," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
    7. Raj Chetty & John N. Friedman & Michael Stepner & The Opportunity Insights Team, 2020. "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," NBER Working Papers 27431, National Bureau of Economic Research, Inc.
    8. Shouwen Ji & Xiaojing Wang & Wenpeng Zhao & Dong Guo, 2019. "An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-15, September.
    9. Jayson Beckman & Amanda M. Countryman, 2021. "The Importance of Agriculture in the Economy: Impacts from COVID‐19," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1595-1611, October.
    10. Sarra Jribi & Hanen Ben Ismail & Darine Doggui & Hajer Debbabi, 2020. "COVID-19 virus outbreak lockdown: What impacts on household food wastage?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 3939-3955, June.
    11. Yae-Ji Kim & Hak-Seon Kim, 2022. "The Impact of Hotel Customer Experience on Customer Satisfaction through Online Reviews," Sustainability, MDPI, vol. 14(2), pages 1-13, January.
    12. Yinan Lin & Rob Kim Marjerison & Jeonghwan Choi & Chungil Chae, 2022. "Supply Chain Sustainability during COVID-19: Last Mile Food Delivery in China," Sustainability, MDPI, vol. 14(3), pages 1-27, January.
    13. Jing Chen & Yong Zhang & Shiyao Zhu & Lei Liu, 2021. "Does COVID-19 Affect the Behavior of Buying Fresh Food? Evidence from Wuhan, China," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
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