IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v62y2021ics0969698921001740.html
   My bibliography  Save this article

Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period

Author

Listed:
  • Dirsehan, TaÅŸkın
  • Cankat, Ece

Abstract

Retailers and their supply-chain partners should reconsider their competitive advantages in today's technology-enhanced environment and search for opportunities to collaborate. Mobile applications have emerged as a special form of e-commerce that provide convenience for consumers by saving time and effort. In the pandemic days, people prefer using mobile applications in particular to order food from restaurants and protect themselves from COVID-19. Even though there are many previous studies regarding mobile application usage, they have investigated the antecedents of mobile app adoption. Today, consumers already have adopted them, yet there is a need to understand the outcomes of mobile application usage, especially for mobile food-ordering apps (MFOAs). To fill this gap, this study first positions the MFOAs among other mobile food applications regarding their business models. Then, a structural model was developed and tested by focusing on the outcomes of MFOA usage. A survey of 217 participants was conducted, and the data were analyzed using partial least squares path modeling (PLS-PM). The main contribution of the results is the finding that MFOA satisfaction plays a critical role in developing restaurants' brand satisfaction and loyalty. Thus, brands should cooperate with MFOA providers.

Suggested Citation

  • Dirsehan, TaÅŸkın & Cankat, Ece, 2021. "Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:joreco:v:62:y:2021:i:c:s0969698921001740
    DOI: 10.1016/j.jretconser.2021.102608
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698921001740
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2021.102608?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. Dirsehan, Taşkın & Can, Ceren, 2020. "Examination of trust and sustainability concerns in autonomous vehicle adoption," Technology in Society, Elsevier, vol. 63(C).
    2. 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.
    3. Kapoor, Anuj Pal & Vij, Madhu, 2018. "Technology at the dinner table: Ordering food online through mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 342-351.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. 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.
    6. Picón, Araceli & Castro, Ignacio & Roldán, José L., 2014. "The relationship between satisfaction and loyalty: A mediator analysis," Journal of Business Research, Elsevier, vol. 67(5), pages 746-751.
    7. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    8. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    9. 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.
    10. Fedorko Igor & Bacik Radovan & Gavurova Beata, 2018. "Technology acceptance model in e-commerce segment," Management & Marketing, Sciendo, vol. 13(4), pages 1242-1256, December.
    11. Kunsoon Park & Narang Park & Wookjae Heo, 2018. "Factors Influencing Intranet Acceptance in Restaurant Industry: Use of Technology Acceptance Model," International Business Research, Canadian Center of Science and Education, vol. 11(10), pages 1-9, October.
    12. J.J. Lambin & R. Chumpitaz & I. Shuiling, 2007. "Market-driven Management: strategic and operational marketing," Post-Print hal-00252132, HAL.
    13. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 175-178, August.
    14. Clay M. Voorhees & Michael K. Brady & Roger Calantone & Edward Ramirez, 2016. "Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 119-134, January.
    15. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
    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. Wen-Chin Tsao, 2023. "A Discussion on Changes in Consumer Behaviors and Marketing Coping Strategies during the Pandemic Era – A Case Study of the Hotel Industry and Catering Industry," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(5), pages 1-4.
    2. Das, Manoj & Ramalingam, Mahesh, 2022. "What drives product involvement and satisfaction with OFDs amid COVID-19?," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    3. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    4. Li, Mingfei & Huang, Shanshan, 2022. "Contactless but loyal customers: The roles of anxiety and sociability in the hotel service context," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Daria Plotkina & Landisoa Rabeson, 2022. "The role of transactionality of mobile branded apps in brand experience and its impact on loyalty," Journal of Brand Management, Palgrave Macmillan, vol. 29(5), pages 470-483, September.
    6. Goh Mei Ling, 2021. "Customer Satisfaction towards Mobile Food Delivery Apps during Covid-19 Pandemic," GATR Journals jmmr281, Global Academy of Training and Research (GATR) Enterprise.
    7. Meiwen Guo & Liang Wu & Cheng Ling Tan & Jun-Hwa Cheah & Yuhanis Abdul Aziz & Jianping Peng & Chun-Hung Chiu & Rongwei Ren, 2023. "The impact of perceived risk of online takeout packaging and the moderating role of educational level," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    8. Khalek, Sk Abu & Chakraborty, Anirban, 2022. "“I like to use but do not wish to own†: Exploring the role of de-ownership orientation in the adoption of access-based services," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    9. Meena, Purushottam & Kumar, Gopal, 2022. "Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    10. Zhang, Qi & Ariffin, Shaizatulaqma Kamalul & Richardson, Christopher & Wang, Yuling, 2023. "Influencing factors of customer loyalty in mobile payment: A consumption value perspective and the role of alternative attractiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    11. Caesarilla Maggie Zavira & Dyah Ismoyowati & Henry Yuliando, 2023. "Satisfaction and Loyalty of Korean Restaurant Consumers Based on Consumer Value and Knowledge," International Review of Management and Marketing, Econjournals, vol. 13(2), pages 28-35, March.
    12. Shah, Adnan Muhammad & Abbasi, Amir Zaib & Yan, Xiangbin, 2023. "Do online peer reviews stimulate diners’ continued log-in behavior: Investigating the role of emotions in the O2O meal delivery apps context," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Uzir, Md. Uzir Hossain & Al Halbusi, Hussam & Thurasamy, Ramayah & Thiam Hock, Rodney Lim & Aljaberi, Musheer A. & Hasan, Najmul & Hamid, Mahmud, 2021. "The effects of service quality, perceived value and trust in home delivery service personnel on customer satisfaction: Evidence from a developing country," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    14. Jiang, Yi & Wang, Xueqin & Yuen, Kum Fai, 2021. "Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    15. Chan, Vanessa Hiu Ying & Chiu, Dickson K.W. & Ho, Kevin K.W., 2022. "Mediating effects on the relationship between perceived service quality and public library app loyalty during the COVID-19 era," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    16. Liu, Chih-Hsing & Gan, Bernard & Ko, Wen-Hwa & Teng, Chih-Ching, 2022. "Comparison of localized and foreign restaurant brands for consumer behavior prediction," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    17. Katsumata, Sotaro & Nishimoto, Akihiro & Kannan, P.K., 2023. "Brand competitiveness and resilience to exogenous shock: Usage of smartphone apps during the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 75(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. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    2. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    3. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    4. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    5. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    6. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    7. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    8. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    9. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    10. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    11. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    12. 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.
    13. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    14. Hamari, Juho & Koivisto, Jonna, 2015. "Why do people use gamification services?," International Journal of Information Management, Elsevier, vol. 35(4), pages 419-431.
    15. Samadzad, Mahdi & Nosratzadeh, Hossein & Karami, Hossein & Karami, Ali, 2023. "What are the factors affecting the adoption and use of electric scooter sharing systems from the end user's perspective?," Transport Policy, Elsevier, vol. 136(C), pages 70-82.
    16. Khalil Moghaddam, B. & Khatoon-Abadi, A., 2013. "Factors affecting ICT adoption among rural users: A case study of ICT Center in Iran," Telecommunications Policy, Elsevier, vol. 37(11), pages 1083-1094.
    17. Mariani, Marcello M. & Ek Styven, Maria & Teulon, Fréderic, 2021. "Explaining the intention to use digital personal data stores: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    18. Ahmad Althunibat & Muhammad Binsawad & Mohammed Amin Almaiah & Omar Almomani & Adeeb Alsaaidah & Waleed Al-Rahmi & Mohamed Elhassan Seliaman, 2021. "Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    19. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    20. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.

    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:62:y:2021:i:c:s0969698921001740. 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.