Journal of Smart Tourism

  • 제4권2호
  • /
  • Pages.25-33
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  • 2024
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  • 2765-2157(pISSN)
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  • 2765-7272(eISSN)
경희대학교 스마트관광연구소 (Smart Tourism Research Center, Kyung Hee University)
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Understanding the Acceptance of Mobile Food Ordering Applications: Role of Confidence in Food Safety Measures

  • Yaou Hu (Jinan University) ;
  • Hyounae (Kelly) Min (The Collins College of Hospitality Management,California State Polytechnic University) ;
  • Saehya Ann (Department of Hospitality, Recreation and Tourism, California State University)
  • 투고 : 2024.03.22
  • 심사 : 2024.07.01
  • 발행 : 2024.06.30
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초록

This study examines the factors influencing the use of mobile food ordering applications and their impact on consumption behavior amidst recent societal changes. It re-evaluates the relevance of factors from the UTAUT2 theory in predicting customers' behavioral intentions. Additionally, the study explores the moderating effect of confidence in food safety measures (CFSM). Quantitative research methods are employed. A structured questionnaire that measures the psychological factors, behavioral intention, and actual usage of mobile food ordering applications was used to collect customer data. Regression and moderation analyses are conducted to test the hypotheses and examine the moderating role of CFSM. The findings reveal that performance expectation, effort expectation, and habit significantly predict customers' intention to use mobile food ordering applications. Moreover, for customers with high CFSM, social influence, facilitating conditions, and hedonic motivation add additional contributions to their behavioral intention. This study extends the UTAUT2 theory by applying it to mobile food ordering applications and examining the influence of CFSM. It identifies the specific factors that drive customers' intention to use these applications and highlights the importance of CFSM as a moderating factor. The findings offer theoretical insights and practical implications for researchers and practitioners in the mobile food ordering industry.

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과제정보

This research was supported by the National Social Science Fund of China [grant number, 22CJY045].

참고문헌

  1. Agrusa, J., Linnes, C., Lema, J., Min, J. E., Henthorne, T., Itoga, H., & Lee, H. (2021). Tourism well-being and transitioning island destinations for sustainable development. Journal of Risk and Financial Management, 14(1), 32.
  2. Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28-44.
  3. Al Amin, M., Arefin, M. S., Alam, M. R., Ahammad, T., & Hoque, M. R. (2021). Using mobile food delivery applications during COVID-19 pandemic: An extended model of planned behavior. Journal of Food Products Marketing, 27(2), 105-126.
  4. Al Amin, M., Arefin, M. S., Sultana, N., Islam, M. R., Jahan, I., & Akhtar, A. (2020). Evaluating the customers' dining attitudes, e-satisfaction and continuance intention toward mobile food ordering apps (MFOAs): evidence from Bangladesh. European Journal of Management and Business Economics.
  5. Arendt, S. W., Paez, P., & Strohbehn, C. (2013). Food safety practices and managers' perceptions: A qualitative study in hospitality. International Journal of Contemporary Hospitality Management, 25(1), 124-139.
  6. Belarmino, A., Raab, C., Tang, J., & Han, W. (2021). Exploring the motivations to use online meal delivery platforms: Before and during quarantine. International Journal of Hospitality Management, 96, 102983.
  7. Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 399-426.
  8. Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.
  9. Cho, M., Bonn, M. A., & Li, J. J. (2019). Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management, 77, 108-116.
  10. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
  11. De Jonge, J., Frewer, L., Van Trijp, H., Jan Renes, R., De Wit, W., & Timmers, J. (2004). Monitoring consumer confidence in food safety: an exploratory study. British Food Journal, 106(10/11), 837-849.
  12. Dirsehan, T., & Cankat, E. (2021). Role of mobile food-ordering applications in developing restaurants' brand satisfaction and loyalty in the pandemic period. Journal of Retailing and Consumer Services, 62, 102608.
  13. Elkhwesky, Z., El Manzani, Y., & Elbayoumi Salem, I. (2022). Driving hospitality and tourism to foster sustainable innovation: A systematic review of COVID-19-related studies and practical implications in the digital era. Tourism and Hospitality Research, 14673584221126792.
  14. Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2).
  15. Haas, S., Kuehl, E., Moran, J. R., & Venkataraman, K. (2020). How restaurants can thrive in the next normal. McKinsey & Company, May, 1-8.
  16. Halim, E., Destiano, R., Salim, J., Margarita, V., Hartono, H., & Hebrard, M. (2021, August). Understanding Mobile Payment Continuance Intention on Mobile Food Ordering Apps (MFOAs) during COVID-19 Pandemic. In 2021 International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 667-672). IEEE.
  17. Hu, X., Yan, H., Casey, T., & Wu, C. H. (2021). Creating a safe haven during the crisis: How organizations can achieve deep compliance with COVID-19 safety measures in the hospitality industry. International Journal of Hospitality Management, 92, 102662.
  18. Hu, Y. (2021). An improvement or a gimmick? The importance of user perceived values, previous experience, and industry context in human-robot service interaction. Journal of Destination Marketing & Management, 21, 100645.
  19. Hu, Y., & Kim, H. J. (2018). Positive and negative eWOM motivations and hotel customers' eWOM behavior: Does personality matter? International Journal of Hospitality Management, 75, 27-37.
  20. Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021). The value proposition of food delivery apps from the perspective of theory of consumption value. International Journal of Contemporary Hospitality Management.
  21. Kim, J., Kim, J., & Wang, Y. (2021). Uncertainty risks and strategic reaction of restaurant firms amid COVID-19: Evidence from China. International Journal of Hospitality Management, 92, 102752.
  22. Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: extending UTAUT2 with information quality. Sustainability, 11(11), 3141.
  23. Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 705-737.
  24. Martins, C., Oliveira, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
  25. Morosan, C., & DeFranco, A. (2016). It's about time: Revisiting UTAUT2 to examine consumers' intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17-29.
  26. Okumus, B., & Bilgihan, A. (2014). Proposing a model to test smartphone users' intention to use smart applications when ordering food in restaurants. Journal of Hospitality and Tourism Technology.
  27. Okumus, B., Ali, F., Bilgihan, A., & Ozturk, A. B. (2018). Psychological factors influencing customers' acceptance of smartphone diet apps when ordering food at restaurants. International Journal of Hospitality Management, 72, 67-77.
  28. Poon, W. C., & Tung, S. E. H. (2024). The rise of online food delivery culture during the COVID-19 pandemic: an analysis of intention and its associated risk. European Journal of Management and Business Economics, 33(1), 54-73.
  29. Ray, A., Dhir, A., Bala, P. K., & Kaur, P. (2019). Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. Journal of Retailing and Consumer Services, 51, 221-230.
  30. Rimal, A., Fletcher, S. M., McWatters, K. H., Misra, S. K., & Deodhar, S. (2001). Perception of food safety and changes in food consumption habits: a consumer analysis. International Journal of Consumer Studies, 25(1), 43-52.
  31. Roh, M., & Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management, 47, 262-273.
  32. Shah, A. M., Yan, X., & Qayyum, A. (2021). Adoption of mobile food ordering apps for O2O food delivery services during the COVID-19 outbreak. British Food Journal.
  33. Sharma, R., Dhir, A., Talwar, S., & Kaur, P. (2021). Over-ordering and food waste: The use of food delivery apps during a pandemic. International Journal of Hospitality Management, 96, 102977.
  34. Swar, B., Hameed, T., & Reychav, I. (2017). Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search. Computers in Human Behavior, 70, 416-425.
  35. Tandon, A., Kaur, P., Bhatt, Y., Mantymaki, M., & Dhir, A. (2021). Why do people purchase from food delivery apps? A consumer value perspective. Journal of Retailing and Consumer Services, 63, 102667.
  36. To, P. L., Liao, C., & Lin, T. H. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774-787.
  37. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
  38. Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178.
  39. Wang, R. J. H., Malthouse, E. C., & Krishnamurthi, L. (2015). On the go: How mobile shopping affects customer purchase behavior. Journal of Retailing, 91(2), 217-234.
  40. Wang, Y. S., Tseng, T. H., Wang, W. T., Shih, Y. W., & Chan, P. Y. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19-30.
  41. Wang, X., Zhang, W., Zhang, T., Wang, Y., & Na, S. (2022). A study of Chinese consumers' consistent use of mobile food ordering apps. Sustainability, 14(19), 12589.
  42. Wen, H., Pookulangara, S., & Josiam, B. M. (2022). A comprehensive examination of consumers' intentions to use food delivery apps. British Food Journal, 124(5), 1737-1754.
  43. WHO.(2020). WHO, Coronavirus Disease (COVID-19) Advice for the Public: Coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public.
  44. Wu, J., & Du, H. (2012). Toward a better understanding of behavioral intention and system usage constructs. European Journal of Information Systems, 21(6), 680-698.
  45. Xu, Y., Jeong, E., Baiomy, A. E., & Shao, X. (2020). Investigating onsite restaurant interactive self-service technology (ORISST) use: Customer expectations and intentions. International Journal of Contemporary Hospitality Management.
  46. Yang, F. X., Li, X., Lau, V. M. C., & Zhu, V. Z. (2021). To survive or to thrive? China's luxury hotel restaurants entering O2O food delivery platforms amid the COVID-19 crisis. International Journal of Hospitality Management, 94, 102855.
  47. Yang, Y., Liu, H., & Chen, X. (2020). COVID-19 and restaurant demand: early effects of the pandemic and stay-at-home orders. International Journal of Contemporary Hospitality Management.
  48. Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150-162.
  49. Yost, E., Kizildag, M., & Ridderstaat, J. (2021). Financial recovery strategies for restaurants during COVID-19: Evidence from the US restaurant industry. Journal of Hospitality and Tourism Management, 47, 408-412.
  50. Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91, 102683.