IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v64y2022ics0969698921003799.html
   My bibliography  Save this article

Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia

Author

Listed:
  • Subero-Navarro, Ã urea
  • Pelegrín-Borondo, Jorge
  • Reinares-Lara, Eva
  • Olarte-Pascual, Cristina

Abstract

Acceptance of social robots (SRs) in retail is a new field of research in marketing arising from the dilemma between the potential benefits of SRs and the possibility that shoppers will reject them. The main aim of this paper is to advance in the modeling of new technology (NT) acceptance by proposing an extension of the integrative Cognitive-Affective-Normative (CAN) model that improves its explanatory and predictive power by including technophobia (TE) with a view to understanding SR acceptance in retail. The CAN + TE model is tested with a sample of 1069 individuals, resulting in an R2 of 0.73, surpassing the explanatory power of classical models. Emotions – specifically, pleasure – and TE are found to be the biggest drivers of SR acceptance for retail customers, followed by performance expectancy and social influence. Arousal and effort expectancy have no significant effect. These findings have theoretical implications for NT modeling and practical implications for reviving retail – which has been hit hard by the pandemic – opening research lines in both contexts related to the future of SRs.

Suggested Citation

  • Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:joreco:v:64:y:2022:i:c:s0969698921003799
    DOI: 10.1016/j.jretconser.2021.102813
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698921003799
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2021.102813?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Prentice, Catherine & Nguyen, Mai, 2021. "Robotic service quality – Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    4. Kulviwat, Songpol & Bruner II, Gordon C. & Al-Shuridah, Obaid, 2009. "The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, Elsevier, vol. 62(7), pages 706-712, July.
    5. de Bellis, Emanuel & Venkataramani Johar, Gita, 2020. "Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption," Journal of Retailing, Elsevier, vol. 96(1), pages 74-87.
    6. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    7. Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
    8. Andrews, Lynda & Bianchi, Constanza, 2013. "Consumer internet purchasing behavior in Chile," Journal of Business Research, Elsevier, vol. 66(10), pages 1791-1799.
    9. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    10. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    11. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    12. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    13. Park, Jungkun & Hong, EunPyo & Le, Hoang TPM, 2021. "Adopting autonomous vehicles: The moderating effects of demographic variables," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    14. Choi, Jayoung & Geistfeld, Loren V., 2004. "A cross-cultural investigation of consumer e-shopping adoption," Journal of Economic Psychology, Elsevier, vol. 25(6), pages 821-838, December.
    15. Arias-Oliva, Mario & Pelegrín-Borondo, Jorge & Lara-Palma, Ana María & Juaneda-Ayensa, Emma, 2020. "Emerging cyborg products: An ethical market approach for market segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    16. Shmueli, Galit & Ray, Soumya & Velasquez Estrada, Juan Manuel & Chatla, Suneel Babu, 2016. "The elephant in the room: Predictive performance of PLS models," Journal of Business Research, Elsevier, vol. 69(10), pages 4552-4564.
    17. 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.
    18. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dhiman, Neeraj & Jamwal, Mohit & Kumar, Ajay, 2023. "Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools," Journal of Business Research, Elsevier, vol. 167(C).
    2. Mehmood, Khalid & Kautish, Pradeep & Shah, Tejas R., 2024. "Embracing digital companions: Unveiling customer engagement with anthropomorphic AI service robots in cross-cultural context," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    3. Wang, Yawei & Kang, Qi & Zhou, Shoujiang & Dong, Yuanyuan & Liu, Junqi, 2022. "The impact of service robots in retail: Exploring the effect of novelty priming on consumer behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    4. Alesanco-Llorente, María & Reinares-Lara, Eva & Pelegrín-Borondo, Jorge & Olarte-Pascual, Cristina, 2023. "Mobile-assisted showrooming behavior and the (r)evolution of retail: The moderating effect of gender on the adoption of mobile augmented reality," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    5. Khaksar, Seyed Mohammad Sadegh & Shahmehr, Fatemeh S. & Miah, Shah & Daim, Tugrul & Ozdemir, Dilek, 2024. "Privacy concerns versus personalisation benefits in social robot acceptance by employees: A paradox theory — Contingency perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    6. Swaraj S. Bharti & Kanika Prasad & Shwati Sudha & Vineeta Kumari, 2023. "Customer acceptability towards AI-enabled digital banking: a PLS-SEM approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 779-793, December.
    7. Aric Rindfleisch & Nobuyuki Fukawa & Naoto Onzo, 2022. "Robots in retail: Rolling out the Whiz," AMS Review, Springer;Academy of Marketing Science, vol. 12(3), pages 238-244, December.
    8. de Kervenoael, Ronan & Schwob, Alexandre & Hasan, Rajibul & Psylla, Evangelia, 2024. "SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).

    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. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    2. Kayeser Fatima, Johra & Khan, Md Irfanuzzaman & Bahmannia, Somayeh & Chatrath, Sarvjeet Kaur & Dale, Naomi F. & Johns, Raechel, 2024. "Rapport with a chatbot? The underlying role of anthropomorphism in socio-cognitive perceptions of rapport and e-word of mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    3. Park, Jungkun & Yun, Jeewoo & Chang, Woondeog, 2024. "Intention to adopt services by AI avatar: A protection motivation theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    4. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    5. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    6. Rahman, Syed Mahmudur & Carlson, Jamie & Gudergan, Siegfried P. & Wetzels, Martin & Grewal, Dhruv, 2022. "Perceived Omnichannel Customer Experience (OCX): Concept, measurement, and impact," Journal of Retailing, Elsevier, vol. 98(4), pages 611-632.
    7. Dhruv Grewal & Stephanie M. Noble & Anne L. Roggeveen & Jens Nordfalt, 2020. "The future of in-store technology," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 96-113, January.
    8. Andrés-Sánchez, Jorge de & Arias-Oliva, Mario & Pelegrín-Borondo, Jorge & Mohammad Almahameed, Ala’ Ali, 2021. "The influence of ethical judgements on acceptance and non-acceptance of wearables and insideables: Fuzzy set qualitative comparative analysis," Technology in Society, Elsevier, vol. 67(C).
    9. Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Belanche, Daniel & Casaló, Luis V. & Flavián, Marta & Ibáñez-Sánchez, Sergio, 2021. "Understanding influencer marketing: The role of congruence between influencers, products and consumers," Journal of Business Research, Elsevier, vol. 132(C), pages 186-195.
    11. Andrade-Valbuena, Nelson & Torres, Juan Pablo, 2018. "Technological reflectiveness from a managerial capability perspective," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 84-97.
    12. Fawad Ahmed & Yuan Jian Qin & Luis Martínez, 2019. "Sustainable Change Management through Employee Readiness: Decision Support System Adoption in Technology-Intensive British E-Businesses," Sustainability, MDPI, vol. 11(11), pages 1-28, May.
    13. Fan, Hua & Han, Bing & Gao, Wei, 2022. "(Im)Balanced customer-oriented behaviors and AI chatbots' Efficiency–Flexibility performance: The moderating role of customers’ rational choices," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    14. Kamal Abubker Abrahim Sleiman & Wang Jin & Lan Juanli & Hong Zhen Lei & Jingyi Cheng & Yuanxin Ouyang & Wenge Rong, 2022. "The Factors of Continuance Intention to Use Mobile Payments in Sudan," SAGE Open, , vol. 12(3), pages 21582440221, August.
    15. Md. Emam Hossain & Subarna Biswas, 2024. "Technology acceptance model for understanding consumer’s behavioral intention to use artificial intelligence based online shopping platforms in Bangladesh," SN Business & Economics, Springer, vol. 4(12), pages 1-61, December.
    16. Alexander, Bethan & Kent, Anthony, 2022. "Change in technology-enabled omnichannel customer experiences in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    17. Chaouali, Walid & Ben Yahia, Imene & Souiden, Nizar, 2016. "The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 209-218.
    18. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature," University of California Transportation Center, Working Papers qt5z75n416, University of California Transportation Center.
    19. Chaouali, Walid & Souiden, Nizar & Ladhari, Riadh, 2017. "Explaining adoption of mobile banking with the theory of trying, general self-confidence, and cynicism," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 57-67.
    20. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.

    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:64:y:2022:i:c:s0969698921003799. 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.