IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12471-d1218640.html
   My bibliography  Save this article

The Role of Near-Field Communication Mobile Payments in Sustainable Restaurant Operations: A Restaurateur’s Perspective

Author

Listed:
  • Wen-Way Yu

    (Graduate Institute of Sport, Leisure and Hospitality Management, National Taiwan Normal University, Heping E. Rd., Taipei City 106, Taiwan)

  • Chin-Yi Fang

    (Graduate Institute of Sport, Leisure and Hospitality Management, National Taiwan Normal University, Heping E. Rd., Taipei City 106, Taiwan)

Abstract

Mobile payments have emerged as a viable alternative to cash and credit cards and are rapidly gaining popularity worldwide. Limited research has explored the effects of mobile payments on restaurant performance from the perspective of restaurateurs. This study utilized a combination of the innovation diffusion theory (IDT) and the technology acceptance model (TAM) to investigate the influence of a near-field-communication (NFC) mobile payment environment on restaurant operating performance (ROP). Through convenience sampling, questionnaires were distributed to restaurant owners and managers, resulting in 279 valid responses. The empirical findings revealed that sales growth (β = 0.478), cost savings (β = −0.236), flexibility (β = 0.117), accessibility (β = 0.184), and trust and safety (β = 0.286) significantly impacted ROP. When considering restaurant size as a moderator for analysis, only two constructs, namely, accessibility (β = 0.108) and trust and safety (β = −0.160), showed significant impacts on ROP. These empirical insights offer valuable references to restaurateurs for enhancing ROP by leveraging the mobile payment environment.

Suggested Citation

  • Wen-Way Yu & Chin-Yi Fang, 2023. "The Role of Near-Field Communication Mobile Payments in Sustainable Restaurant Operations: A Restaurateur’s Perspective," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12471-:d:1218640
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12471/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12471/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Danny Miller & Peter H. Friesen, 1982. "Innovation in conservative and entrepreneurial firms: Two models of strategic momentum," Strategic Management Journal, Wiley Blackwell, vol. 3(1), pages 1-25, January.
    3. Kenneth J. Hatten & Mary Louise Hatten, 1987. "Strategic groups, asymmetrical mobility barriers and contestability," Strategic Management Journal, Wiley Blackwell, vol. 8(4), pages 329-342, July.
    4. Gunday, Gurhan & Ulusoy, Gunduz & Kilic, Kemal & Alpkan, Lutfihak, 2011. "Effects of innovation types on firm performance," International Journal of Production Economics, Elsevier, vol. 133(2), pages 662-676, October.
    5. Qingyu Zhang & Salman Khan & Mei Cao & Safeer Ullah Khan, 2023. "Factors Determining Consumer Acceptance of NFC Mobile Payment: An Extended Mobile Technology Acceptance Model," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    6. Michael Bittman & Judith Brown & Judy Wajcman, 2009. "The Cell Phone, Constant Connection and Time Scarcity in Australia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 229-233, August.
    7. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    8. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    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. Hong-Wen Lin & Ya-Cing Jhan & Yuan Tseng, 2019. "Behavioral intention of using one-stop mobile application: evidence from department stores," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(12), pages 401-412, December.
    2. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    3. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    4. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    5. Eunhye Kim, 2021. "In-store shopping with location-based retail apps: perceived value, consumer response, and the moderating effect of flow," Information Technology and Management, Springer, vol. 22(2), pages 83-97, June.
    6. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    7. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    8. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    9. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    10. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    11. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Adamantia Pateli & Naoum Mylonas & Aggeliki Spyrou, 2020. "Organizational Adoption of Social Media in the Hospitality Industry: An Integrated Approach Based on DIT and TOE Frameworks," Sustainability, MDPI, vol. 12(17), pages 1-20, September.
    13. Xin Xu & Viswanath Venkatesh & Kar Yan Tam & Se-Joon Hong, 2010. "Model of Migration and Use of Platforms: Role of Hierarchy, Current Generation, and Complementarities in Consumer Settings," Management Science, INFORMS, vol. 56(8), pages 1304-1323, August.
    14. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    15. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    16. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    17. Foshay, Neil & Kuziemsky, Craig, 2014. "Towards an implementation framework for business intelligence in healthcare," International Journal of Information Management, Elsevier, vol. 34(1), pages 20-27.
    18. Christian Maier & Sven Laumer & Jason Bennett Thatcher & Jakob Wirth & Tim Weitzel, 2022. "Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation," Information Systems Research, INFORMS, vol. 33(2), pages 489-514, June.
    19. Nuray Cakirli Akyüz & Ludwig Theuvsen, 2020. "The Impact of Behavioral Drivers on Adoption of Sustainable Agricultural Practices: The Case of Organic Farming in Turkey," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    20. Francisca García-Lopera & José Manuel Santos-Jaén & Mercedes Palacios-Manzano & Daniel Ruiz-Palomo, 2022. "Exploring the effect of professionalization, risk-taking and technological innovation on business performance," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-19, February.

    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:gam:jsusta:v:15:y:2023:i:16:p:12471-:d:1218640. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.