IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v61y2021ics0969698921000801.html
   My bibliography  Save this article

Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective

Author

Listed:
  • Tsai, Yao-Te
  • Tiwasing, Praewwanit

Abstract

Many logistics service providers are now adjusting their business service strategies to satisfy consumers' higher demands and expectations. An automated parcel locker for self-pickup is one of the options; however, there is currently no smart locker service available in Thailand. This study integrates resource matching theory, innovation diffusion theory, and theory of planned behavior to clarify Thai consumers' intention to utilize smart lockers. The data for this study were received from 302 participants living in Thailand. Convenience, reliability, privacy security, compatibility, relative advantage, complexity, perceived behavioral control, and attitude were included in the questionnaire to test if they were significant determinants of consumers' intention to use smart lockers. The results reveal that convenience, reliability, privacy security, compatibility, relative advantage, complexity, perceived behavioral control, and attitude influence Thai consumers’ intention to use smart lockers. This study contributes to the literature on combining resource matching theory, innovation diffusion theory, and theory of planned behavior; this enriches theoretical research on self-service technologies in last-mile logistics delivery, and also provides insights for consumer behavioral research.

Suggested Citation

  • Tsai, Yao-Te & Tiwasing, Praewwanit, 2021. "Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:joreco:v:61:y:2021:i:c:s0969698921000801
    DOI: 10.1016/j.jretconser.2021.102514
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698921000801
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2021.102514?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Wen-Lan Liao & Chin-Yi Fang, 2019. "Applying an Extended Theory of Planned Behavior for Sustaining a Landscape Restaurant," Sustainability, MDPI, vol. 11(18), pages 1-13, September.
    3. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    4. Yuen, Kum Fai & Wang, Xueqin & Ng, Li Ting Wendy & Wong, Yiik Diew, 2018. "An investigation of customers’ intention to use self-collection services for last-mile delivery," Transport Policy, Elsevier, vol. 66(C), pages 1-8.
    5. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    6. Nathalie Demoulin & Souad Djelassi, 2016. "An integrated model of self-service technology (SST) usage in a retail context," Post-Print hal-01563001, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Hye-jeong & Fang, Mingjie & Yao, Jinge & Su, Miao, 2023. "Green cooperation in last-mile logistics and consumer loyalty: An empirical analysis of a theoretical framework," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Jiang, Li & Yan, Jingyi & Xie, Yuguang & Dong, Junfeng, 2025. "Customers’ reuse intention to autonomous delivery vehicles in terminal delivery service: A valence theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
    3. Xueqin Wang & Yiik Diew Wong & Kum Fai Yuen, 2021. "Does COVID-19 Promote Self-Service Usage among Modern Shoppers? An Exploration of Pandemic-Driven Behavioural Changes in Self-Collection Users," IJERPH, MDPI, vol. 18(16), pages 1-22, August.
    4. Chen, Ching-Fu & White, Christopher & Hsieh, Yi-En, 2020. "The role of consumer participation readiness in automated parcel station usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    5. Lin, Yun Hui & Wang, Yuan & He, Dongdong & Lee, Loo Hay, 2020. "Last-mile delivery: Optimal locker location under multinomial logit choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    6. Yuen, Kum Fai & Chua, Jie Ying & Li, Xue & Wang, Xueqin, 2023. "The determinants of users’ intention to adopt telehealth: Health belief, perceived value and self-determination perspectives," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Kum Fai Yuen & Grace Chua & Xueqin Wang & Fei Ma & Kevin X. Li, 2020. "Understanding Public Acceptance of Autonomous Vehicles Using the Theory of Planned Behaviour," IJERPH, MDPI, vol. 17(12), pages 1-19, June.
    8. Ivana Blešić & Marko D. Petrović & Tamara Gajić & Tatiana N. Tretiakova & Julia A. Syromiatnikova & Milan Radovanović & Jovanka Popov-Raljić & Natalia V. Yakovenko, 2021. "How the Extended Theory of Planned Behavior Can Be Applied in the Research of the Influencing Factors of Food Waste in Restaurants: Learning from Serbian Urban Centers," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    9. Björn Asdecker, 2021. "Building the E-Commerce Supply Chain of the Future: What Influences Consumer Acceptance of Alternative Places of Delivery on the Last-Mile," Logistics, MDPI, vol. 5(4), pages 1-17, December.
    10. Wang, Xueqin & Wong, Yiik Diew & Shi, Wenming & Yuen, Kum Fai, 2022. "Shoppers’ logistics activities in omni-channel retailing: A conceptualisation and an exploration on perceptual differences in effort valuation," Transport Policy, Elsevier, vol. 115(C), pages 195-208.
    11. de Kervenoael, Ronan & Schwob, Alexandre & Chandra, Careen, 2020. "E-retailers and the engagement of delivery workers in urban last-mile delivery for sustainable logistics value creation: Leveraging legitimate concerns under time-based marketing promise," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    12. Schnurr, Benedikt & Wetzels, Martin, 2020. "The conditional enjoyment-enhancing effect of shipping box aesthetics," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    13. Cai, Lanhui & Yuen, Kum Fai & Xie, Diancen & Fang, Mingjie & Wang, Xueqin, 2021. "Consumer's usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology," Technology in Society, Elsevier, vol. 67(C).
    14. Fuli Zhou & Yandong He & Felix T. S. Chan & Panpan Ma & Francesco Schiavone, 2022. "Joint Distribution Promotion by Interactive Factor Analysis using an Interpretive Structural Modeling Approach," SAGE Open, , vol. 12(1), pages 21582440221, February.
    15. Esmaili, Arsalan & Rejali, Sina & Aghabayk, Kayvan & Mohammadi, Amin & De Gruyter, Chris, 2025. "Autonomous delivery vehicle acceptance: The moderating role of perceived risk of theft," Transport Policy, Elsevier, vol. 162(C), pages 406-423.
    16. Hung-Tai Tsou & Ja-Shen Chen & Cindy Yunhsin Chou & Tzu-Wen Chen, 2019. "Sharing Economy Service Experience and Its Effects on Behavioral Intention," Sustainability, MDPI, vol. 11(18), pages 1-25, September.
    17. Ronan de Kervenoael & Alexandre Schwob & Careen Chandra, 2020. "E-retailers and the engagement of delivery workers in urban last-mile delivery for sustainable logistics value creation: Leveraging legitimate concerns under time-based marketing promise," Post-Print hal-02780647, HAL.
    18. Koh, Le Yi & Lee, Jia Yi & Wang, Xueqin & Yuen, Kum Fai, 2023. "Urban drone adoption: Addressing technological, privacy and task–technology fit concerns," Technology in Society, Elsevier, vol. 72(C).
    19. Chen, Liuyan & Wu, Pengkun & Dou, Yudan & Wu, Yuanyuan, 2023. "Investigating senders’ switching intention to smart lockers: An extension of push-pull-mooring model," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    20. Othmane Aride & Maria-del-Mar Pàmies-Pallisé, 2019. "From Values to Behavior: Proposition of an Integrating Model," Sustainability, MDPI, vol. 11(21), pages 1-19, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:61:y:2021:i:c:s0969698921000801. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.