IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v14y2020i4d10.1007_s11628-020-00425-6.html
   My bibliography  Save this article

Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness

Author

Listed:
  • Hyeon Mo Jeon

    (Dongguk University-Gyeongju)

  • Hye Jin Sung

    (Pai Chai University)

  • Hyun Young Kim

    (Kyung Hee University)

Abstract

This study validates the unified theory of acceptance and use of technology (UTAUT) model, extended to include risk and innovativeness as additional factors, to identify antecedents that influence customers’ intention to adopt self-service technology at restaurants. Among UTAUT constructs, performance expectancy was the most important determinant of acceptance intention, followed by effort expectancy and social influence. Furthermore, individual innovativeness moderated the effects of social influence and perceived risk on acceptance intention. These findings are meaningful because incorporating information and communication technology (ICT) into food service settings expands the scope of food service research and provides practical implications.

Suggested Citation

  • Hyeon Mo Jeon & Hye Jin Sung & Hyun Young Kim, 2020. "Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 533-551, December.
    • Handle: RePEc:spr:svcbiz:v:14:y:2020:i:4:d:10.1007_s11628-020-00425-6
    DOI: 10.1007/s11628-020-00425-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11628-020-00425-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11628-020-00425-6?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. Thomas Leicht & Anis Chtourou & Kamel Ben Youssef, 2018. "Consumer innovativeness and intentioned autonomous car adoption," Post-Print hal-02511554, HAL.
    2. Teresa Fernandes & Rui Pedroso, 2017. "The effect of self-checkout quality on customer satisfaction and repatronage in a retail context," Service Business, Springer;Pan-Pacific Business Association, vol. 11(1), pages 69-92, March.
    3. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    4. Youjae Yi & Seo Young Kim, 2017. "The role of other customers during self-service technology failure," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 695-715, December.
    5. Hyeon-Mo Jeon & Faizan Ali & Shin-Woo Lee, 2019. "Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings," The Service Industries Journal, Taylor & Francis Journals, vol. 39(5-6), pages 385-402, April.
    6. San Martín, Héctor & Herrero, Ángel, 2012. "Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework," Tourism Management, Elsevier, vol. 33(2), pages 341-350.
    7. Muhammad Shahid Iqbal & Masood Ul Hassan & Ume Habibah, 2018. "Impact of self-service technology (SST) service quality on customer loyalty and behavioral intention: The mediating role of customer satisfaction," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1423770-142, January.
    8. Gelderman, Cees J. & Ghijsen, Paul W.Th. & van Diemen, Ronnie, 2011. "Choosing self-service technologies or interpersonal services—The impact of situational factors and technology-related attitudes," Journal of Retailing and Consumer Services, Elsevier, vol. 18(5), pages 414-421.
    9. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P. & Algharabat, Raed, 2018. "Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 125-138.
    10. Hoffmann, Stefan & Soyez, Katja, 2010. "A cognitive model to predict domain-specific consumer innovativeness," Journal of Business Research, Elsevier, vol. 63(7), pages 778-785, July.
    11. Suk Won Lee & Hye Jin Sung & Hyeon Mo Jeon, 2019. "Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    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. Jin-Kyu Kim & Jae-Jang Yang & Yong-Ki Lee, 2023. "How Do Self-Service Kiosks Improve COVID-19 Pandemic Resilience in the Restaurant Industry?," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    2. Yang-Fei Tai & Yi-Chieh Wang & Ching-Ching Luo, 2021. "Technology- or human-related service innovation? Enhancing customer satisfaction, delight, and loyalty in the hospitality industry," Service Business, Springer;Pan-Pacific Business Association, vol. 15(4), pages 667-694, December.
    3. Ana-Marija Stjepić & Mirjana Pejić Bach & Vesna Bosilj Vukšić, 2021. "Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework," JRFM, MDPI, vol. 14(2), pages 1-18, February.
    4. Marc Becker & Dominik Mahr & Gaby Odekerken-Schröder, 2023. "Customer comfort during service robot interactions," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 137-165, March.
    5. K Akdim & Luis V. Casaló, 2023. "Perceived value of AI-based recommendations service: the case of voice assistants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 81-112, March.
    6. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.
    7. Haibei Chen & Xianglian Zhao, 2023. "Use intention of green financial security intelligence service based on UTAUT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10709-10742, October.
    8. Jun Xu & Yun Zhou & Lei Jiang & Lei Shen, 2022. "Exploring Sustainable Fashion Consumption Behavior in the Post-Pandemic Era: Changes in the Antecedents of Second-Hand Clothing-Sharing in China," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    9. Nam, Jinyoung & Kim, Seongcheol, 2022. "Why do elderly people feel negative about the use of self-service technology and how do they cope with the negative emotions?," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265661, International Telecommunications Society (ITS).
    10. Kumari, Pooja & Shankar, Amit & Behl, Abhishek & Pereira, Vijay & Yahiaoui, Dorra & Laker, Benjamin & Gupta, Brij B. & Arya, Varsha, 2024. "Investigating the barriers towards adoption and implementation of open innovation in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 200(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. Guan, Xinhua & Xie, Lishan & Shen, Wen-Guo & Huan, Tzung-Cheng, 2021. "Are you a tech-savvy person? Exploring factors influencing customers using self-service technology," Technology in Society, Elsevier, vol. 65(C).
    2. Hye Jin Sung & Hyeon Mo Jeon, 2020. "Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    3. Suk Won Lee & Hye Jin Sung & Hyeon Mo Jeon, 2019. "Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    4. Kim, Sehoon & Connerton, Timothy Paul & Park, Cheongyeul, 2022. "Transforming the automotive retail: Drivers for customers' omnichannel BOPS (Buy Online & Pick up in Store) behavior," Journal of Business Research, Elsevier, vol. 139(C), pages 411-425.
    5. Chen, Nuoya & Mohanty, Smaraki & Jiao, Jinfeng & Fan, Xiucheng, 2021. "To err is human: Tolerate humans instead of machines in service failure," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    6. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    7. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    8. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    9. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    10. El Barachi, May & Salim, Taghreed Abu & Nyadzayo, Munyaradzi W. & Mathew, Sujith & Badewi, Amgad & Amankwah-Amoah, Joseph, 2022. "The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort," Technology in Society, Elsevier, vol. 71(C).
    11. Sun, Wei & Dedahanov, Alisher Tohirovich & Shin, Ho Young & Li, Wei Ping, 2021. "Factors affecting institutional investors to add crypto-currency to asset portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Lin, Zhibin & Filieri, Raffaele, 2015. "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 158-168.
    13. Zhou, Min & Huang, Jinlong & Wu, Kexin & Huang, Xin & Kong, Nan & Campy, Kathryn S., 2021. "Characterizing Chinese consumers’ intention to use live e-commerce shopping," Technology in Society, Elsevier, vol. 67(C).
    14. Ellen Van Droogenbroeck & Léon Van Hove, 2021. "Adoption and usage of E-grocery shopping: A context-specific UTAUT2 model," ULB Institutional Repository 2013/324918, ULB -- Universite Libre de Bruxelles.
    15. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    16. Siyal, Abdul Waheed & Chen, Hongzhuan & Jamal Shah, Syed & Shahzad, Fakhar & Bano, Shaher, 2024. "Customization at a glance: Investigating consumer experiences in mobile commerce applications," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    17. 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.
    18. Jankit Chotigo & Yasuo Kadono, 2021. "Comparative Analysis of Key Factors Encouraging Food Delivery App Adoption Before and During the COVID-19 Pandemic in Thailand," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    19. Vaggelis Saprikis & Giorgos Avlogiaris, 2023. "Modeling users’ acceptance of mobile social commerce: the case of ‘Instagram checkout’," Electronic Commerce Research, Springer, vol. 23(1), pages 511-540, March.
    20. Farzad Safaeimanesh & Hasan Kılıç & Habib Alipour & Shahrzad Safaeimanesh, 2021. "Self-Service Technologies (SSTs)—The Next Frontier in Service Excellence: Implications for Tourism Industry," Sustainability, MDPI, vol. 13(5), pages 1-21, March.

    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:spr:svcbiz:v:14:y:2020:i:4:d:10.1007_s11628-020-00425-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.