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An integrated model of self-service technology (SST) usage in a retail context

Author

Listed:
  • Nathalie Demoulin

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Souad Djelassi

Abstract

Purpose – The purpose of this paper is to propose and test a comprehensive model that captures individual, system and situational drivers of customers' intention to use and actual use of self-service technologies (SSTs). Design/methodology/approach – This paper is based on a survey conducted among 143 users and 150 non-users of SSTs at the exit of a grocery store. The proposed model was analysed using structural equation modelling and a logistic regression. Findings – The results demonstrate that: first, in addition to previous usage behaviour (i.e. usage frequency), situational factors (time pressure, basket size, coupons and queue length at the SSTs and staffed checkouts) influence customers' decisions to use SSTs during a specific shopping trip; and second, perceived behavioural control is the most important determinant of behavioural intention, followed by perceived usefulness, need for interaction and perceived ease of use and enjoyment. Originality/value – Although an abundance of research has investigated the adoption of SSTs, little is known about what drives real usage. This study considers the actual usage of SSTs in a specific context, as well as the situational factors that influence the choice of SSTs over traditional checkouts. In addition, this paper provides an integrative model including actual usage, use frequency and behavioral intention and its antecedents by extending the Technology Acceptance Model 3.

Suggested Citation

  • Nathalie Demoulin & Souad Djelassi, 2016. "An integrated model of self-service technology (SST) usage in a retail context," Post-Print hal-01563001, HAL.
    • Handle: RePEc:hal:journl:hal-01563001
    DOI: 10.1108/ijrdm-08-2015-0122
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    Citations

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    Cited by:

    1. 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).
    2. Farah, Maya F. & Ramadan, Zahy B., 2020. "Viability of Amazon’s driven innovations targeting shoppers’ impulsiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    3. Badra Sandamali Galdolage, 2021. "Barriers for Entering the Digital World: Exploring Customer Value Co-destruction in Self-Service Technologies," FIIB Business Review, , vol. 10(3), pages 276-289, September.
    4. 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).
    5. Radka Bauerová & Martin Klepek, 2018. "Technology Acceptance as a Determinant of Online Grocery Shopping Adoption," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(3), pages 737-746.
    6. Bailey, Ainsworth Anthony & Bonifield, Carolyn M. & Arias, Alejandro, 2018. "Social media use by young Latin American consumers: An exploration," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 10-19.
    7. 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.
    8. 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).
    9. Nguyen Hong Quan & Nguyen Thi Binh & Bui Thi Ly, 2022. "Impact of smart locker use on customer satisfaction of online shoppers in Vietnam," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    10. Benjamin Barann & Jan H. Betzing & Marco Niemann & Benedikt Hoffmeister & Jörg Becker, 2022. "Exploring customers’ likeliness to use e-service touchpoints in brick and mortar retail," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 523-545, June.
    11. Sanchit Pawar & Asle Fagerstrøm & Valdimar Sigurdsson, 2020. "An Explorative Study of How Visceral States Influence the Relationship between Social Proof Heuristics and Donation Behavior When Consumers Are Using Self-Service Kiosks," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    12. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    13. Tonder, Estelle van & Saunders, Stephen Graham & Lisita, Inonge Theresa & de Beer, Leon Tielman, 2018. "The importance of customer citizenship behaviour in the modern retail environment: Introducing and testing a social exchange model," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 92-102.
    14. Gong, Taeshik & Wang, Chen-Ya & Lee, Kangcheol, 2022. "Effects of characteristics of in-store retail technology on customer citizenship behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Cheolho Yoon & Byongcheon Choi, 2020. "Role of Situational Dependence in the Use of Self-Service Technology," Sustainability, MDPI, vol. 12(11), pages 1-11, June.
    16. Lagorio, Alexandra & Pinto, Roberto, 2021. "Food and grocery retail logistics issues: A systematic literature review," Research in Transportation Economics, Elsevier, vol. 87(C).
    17. Komlan Gbongli & Yongan Xu & Komi Mawugbe Amedjonekou, 2019. "Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach," Sustainability, MDPI, vol. 11(13), pages 1-33, July.
    18. 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).
    19. Jiang, Yi & Lai, Po-Lin & Yang, Ching-Chiao & Wang, Xinchen, 2023. "Exploring the factors that drive consumers to use contactless delivery services in the context of the continued COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    20. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    21. Sheikh Muhammad Hizam & Waqas Ahmed, 2019. "A Conceptual Paper on SERVQUAL-Framework for Assessing Quality of Internet of Things (IoT) Services," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 387-397, August.
    22. Sharma, Piyush & Ueno, Akiko & Kingshott, Russel, 2021. "Self-service technology in supermarkets – Do frontline staff still matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    23. Luis Cárdenas & Cristóbal Fernández-Robin & Diego Yáñez, 2023. "Influence of Social and Emotional Factors on the Intention to Use Instagram Stories," SAGE Open, , vol. 13(3), pages 21582440231, August.
    24. Tueanrat, Yanika & Papagiannidis, Savvas & Alamanos, Eleftherios, 2021. "A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    25. Hossain Md Shamim & Zhou Xiaoyan & Rahman Mst Farjana, 2019. "Customer satisfaction under heterogeneous services of different self-service technologies," Management & Marketing, Sciendo, vol. 14(1), pages 90-107, March.

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