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What Drives or Hinders the Adoption of Sustainable Smart Logistics in Rural Areas?—A Mixed-Methods Analysis

Author

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  • Yadong Li

    (Department of Economics and Management, Hebei University of Environmental Engineering, Qinhuangdao 066102, China)

  • Ning Ding

    (Department of Global Convergence, Kangwon National University, Chuncheon 24341, Republic of Korea)

  • Tingting Zhao

    (Department of Economics and Management, Hebei University of Environmental Engineering, Qinhuangdao 066102, China)

  • Maowei Chen

    (Department of Global Convergence, Kangwon National University, Chuncheon 24341, Republic of Korea)

Abstract

Under the impetus of digital rural development and the rapid advancement of smart logistics, intelligent terminal delivery technologies are gradually expanding into rural areas. This study employs a three-phase mixed research approach to systematically investigate the factors influencing and mechanisms underlying rural residents’ willingness to adopt smart logistics in Hebei Province. In the first phase, grounded theory is employed to identify seven key perceived factors: perceived usefulness, perceived ease of use, sensitivity to collective evaluation, cultural conservatism, infrastructure quality, facilitating conditions, and technological trust. In the second phase, integrating the TAM and the UTAUT, this study incorporates context-specific variables and conducts empirical analysis using SEM and the bootstrap method on 451 valid questionnaire responses. The results indicate that all factors except infrastructure quality significantly influence adoption willingness, with cultural conservatism exerting a negative effect. In the third phase, fsQCA is applied to identify eight configurations that lead to high adoption willingness, further supplementing and enriching the explanatory power of the SEM results. This research expands the theoretical understanding of smart logistics technology adoption mechanisms in rural areas and offers practical guidance for the promotion and application of related technologies.

Suggested Citation

  • Yadong Li & Ning Ding & Tingting Zhao & Maowei Chen, 2025. "What Drives or Hinders the Adoption of Sustainable Smart Logistics in Rural Areas?—A Mixed-Methods Analysis," Sustainability, MDPI, vol. 17(14), pages 1-28, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6626-:d:1705865
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    References listed on IDEAS

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    1. Xiaohong Jiang & Huiying Wang & Xiucheng Guo & Xiaolin Gong, 2019. "Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Nattakorn Pinyanitikorn & Walailak Atthirawong & Wirachchaya Chanpuypetch, 2024. "Examining the Intention to Adopt an Online Platform for Freight Forwarding Services in Thailand: A Modified Unified Theory for Acceptance and Use of Technology (UTAUT) Model Approach," Logistics, MDPI, vol. 8(3), pages 1-23, July.
    3. Ibrahim Ghazi Alkandi & Mohammed Arshad Khan & Mohammed Fallatah & Ahmad Alabdulhadi & Salem Alanizan & Jaithen Alharbi, 2023. "The Impact of Incentive and Reward Systems on Employee Performance in the Saudi Primary, Secondary, and Tertiary Industrial Sectors: A Mediating Influence of Employee Job Satisfaction," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    4. Mohamed Amr Sultan & Tomaž Kramberger & Mahmoud Barakat & Ahmed Hussein Ali, 2023. "Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model," Sustainability, MDPI, vol. 15(17), pages 1-25, August.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Xiaofei Kou & Yanqi Zhang & Die Long & Xuanyu Liu & Liangliang Qie, 2022. "An Investigation of Multimodal Transport for Last Mile Delivery in Rural Areas," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
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