Factors Affecting Consumer's Loyalty in Food Delivery Application Service in Thailand |
LIMSARUN, Tanakorn
(MBA Program, Siam University)
NAVAVONGSATHIAN, Ampol (Faculty of Accounting and Management Science, Southeast Bangkok College) VONGCHAVALITKUL, Busaya (Faculty of Liberal arts and MBA, Southeast Bangkok College) DAMRONGPONG, Nantaporn (Siam University) |
1 | Basak, S.K., Govender, D.W., & Govender, I. (2016). Examining the impact of privacy, Security, and trust on the TAM and TTF models for e-commerce consumers: A pilot study. 14th Annual Conference on Privacy, Security and Trust (PST). |
2 | Cho, M., Bonn, M. A., & Li, J. J. (2018). Differences in perceptions about food delivery apps between single-person and multiperson households. International Journal of Hospitality Management, 77, 108-116. DOI |
3 | Cochran, W. G. (1977). Sampling techniques (3rd ed.). New York, NY: John Wiley & Sons. |
4 | Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. DOI |
5 | Gebauer, J., & Ginsburg, M. (2009). Exploring the black box of task-technology fit. Communications of the ACM, 52(1), 130-135. DOI |
6 | Goodhue, D. L., & Thompson, R. L. (1995). Task technology fit and individual performance. MIS Quarterly, 19(2), 213-236. DOI |
7 | Jaiswal, S., Sharma, N., & Ashwini, K. (2019). Food War: It's Effect on Gen Y and Z. Global Journal of Enterprise Information System, 11(4), 8-18. https://doi.org/10.18311/gjeis/2019 DOI |
8 | Kasikorn Research. (2020). Food delivery businesses set to expand due to intensifying competition post-COVID-19; while big operators set sight on shaping their platforms into 'Super Applications' (Current Issue No.3128). Retrieved from https://www.kasikornresearch.com/th/analysis/k-econ/business/Pages/z3128-Food-Delivery.aspx |
9 | Kelloway, E. K. (2015). Using Mplus for Structural Equation Modeling; A Researcher's Guide. Thousand Oaks, CA: Sage Publications. |
10 | Kharouf, H., J. Lund, D., & Sekhon, H. (2014). "Building trust by signaling trustworthiness in service retail". Journal of Services Marketing, 28(5), 361-373. https://doi.org/10.1108/JSM-01-2013-0005 DOI |
11 | Klein, D. (2019). Fighting for Share in the $16.6 Billion Delivery App Market. Retrieved from https://www.qsrmagazine.com/technology/fighting-share-166-billion-delivery-appmarket |
12 | Kosiba, J. P. B., Boateng, H., Okoe Amartey, A. F., Boakye, R. O., & Hinson, R. (2018). Examining customer engagement and brand loyalty in retail banking: The trustworthiness influence. International Journal of Retail & Distribution Management, 46(8), 764-779. https://doi.org/10.1108/IJRDM-08-2017-0163 DOI |
13 | Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607-610. DOI |
14 | Lee, E. Y., Lee, S. B., & Jeon, Y. J. J. (2017). Factors influencing the behavioral intention to use food delivery apps. Social Behavior and Personality: An International Journal, 45(9), 1461-1474. DOI |
15 | Li, C., Mirosa, M., & Bremer, P. (2020). Review of Online Food Delivery Platforms and their Impacts on Sustainability. Sustainability, 12(5528), 1-17. doi:10.3390/su12145528 DOI |
16 | Liu, N., & Yu, R. (2017). Identifying design feature factors critical to acceptance and usage behavior of smartphones. Computers in Human Behavior, 70, 131-142. DOI |
17 | Lu, J., Yu, C., Liu, C., & Yao, J.E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206-222. https://doi.org/10.1108/10662240310478222 DOI |
18 | Navavongsathain, A., Vongchavalitkul, B., & Limsarun, T. (2020). Causal Factors Affecting Mobile Banking Services Acceptance by Customers in Thailand. Journal of Asian Finance, Economics and Business, 7(11), 421-428. https://doi.org/10.13106/jafeb.2020.vol7.no11.421 DOI |
19 | Mlekus, L., Bentler, D., Paruzel, A., & Maier, G. (2020). How to raise technology acceptance: user experience characteristics as technology-inherent determinants. Gr Interakt Org, 51, 273-283. https://doi.org/10.1007/s11612-020-00529-7 DOI |
20 | Ngan, N., & Khoi, B. (2020). Behavioral Intention to Accept and Use Banking Service. Journal of Asian Finance, Economics and Business, 7(11), 393-400. https://doi.org/10.13106/jafeb.2020.vol7.no11.393 DOI |
21 | Newman, D., & Pilson, D. (1997). Increased Probability of Extinction Due to Decreased Genetic Effective Population Size: Experimental Populations of Clarkia pulchella. Evolution, 51(2), 354-362. doi:10.2307/2411107 DOI |
22 | Omotayo, F., & Haliru, A. (2020). Perception of task-technology fit of digital library among undergraduates in selected universities in Nigeria. The Journal of Academic Librarianship, 46(1)102097, 1-10. |
23 | Patma, T., Wardana L., & Narmaditya B. (2020). The Shifting of Business Activities during the COVID-19 Pandemic: Does Social Media Marketing Matter? Journal of Asian Finance, Economics and Business, 7(12), 283-292. https://doi.org/10.13106/jafeb.2020.vol7.no12.283 DOI |
24 | Plodmeechai, N. (2019). The Growth of Food Delivery Market. Retrieved on September 29, 2020. From https://www.posttoday.com/finance-stock/columnist/602101) |
25 | Pei, Z., Zhenxiang, Z., & Chunping, H. (2007). An extended TAM model for Chinese B2C websites design. Journal of Global Information Technology Management, 10, 51-66. https://doi.org/bswm DOI |
26 | Said, G. (2015). Understanding Knowledge Management System antecedents of performance impact: Extending the Tasktechnology Fit Model with intention to share knowledge construct. Future Business Journal, 1(1-2), 75-87. DOI |
27 | Rai, R. & Selnes, F. (2019). Conceptualizing task-technology fit and the effect on adoption - A case study of a digital textbook service. Information & Management, 56(8), 103161, 1-10. |
28 | 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. DOI |
29 | Sahoo, S., & Sonawane K. (2017). Food Delivery Mobile Application Market by Deployment Platform (Android, iOS, Others), and End User (Food Delivery Market Place, Restaurants and Others): Global Opportunity Analysis and Industry Forecast, 2017-2023. Retrieved from https://www.alliedmarketresearch.com/food-delivery-mobile-application-market |
30 | Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates. |
31 | Sheppard, M., & Vibert, C. (2019). Re-examining the relationship between ease of use and usefulness for the next generation. Education and Information Technologies, 24, 3205-3218. DOI |
32 | Sreeram, A., Kesharwani, A., & Desai, S. (2017). Factors affecting satisfaction and loyalty in online grocery shopping: an integrated model. Journal of Indian Business Research, 9(2), 107-132. https://doi.org/10.1108/JIBR-01-2016-0001 DOI |
33 | Suhartanto, D., Helmi Ali, M., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty toward online food delivery service: the role of e-service quality and food quality. Journal of Foodservice Business Research, 22(1), 81-97. https://doi.org/10.1080/15378020.2018.1546076 DOI |
34 | Wanichbuncha, K. (2013). Structure Equation Model Analysis. Bangkok, Thailand: Samlada Printing. |
35 | Zhu, D. H., Lan, L. Y., & Chang, Y. P. (2017). Understanding the intention to continue use of a mobile payment provider: an examination of Alipay Wallet in China. International Journal of Business and Information, 12(4), 369-390. |
36 | Tarhini, A., Hone, K., & Liu, X. (2015). A cross‐cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students. British Journal of Educational, 46(40), 739-755. |
37 | Wang, E. S. T., & Chou, N. P. Y. (2014). Consumer Characteristic, Social Influnce and System Factors on Online Group-Buying Repurchasing Intention. Journal of Electronic Commerce Research, 15(2), 119-132. |
38 | Winnie, P., Lo, M., & Thurasamy, R. (2014). Antecedents of Customer E-loyalty With the Effect of Trustworthiness in Malaysia Context. China-USA Business Review, 13(11), 709-727. doi: 10.17265/1537-1514, /2014.11.004 DOI |
39 | Winnie, P. (2014). The Impact of Trustworthiness and Customer e-Loyalty and e-Satisfaction. International Journal of Academic Research in Business and Social Sciences, 4(3), 390-408. |
40 | Xu, F., & Du, J. T. (2018). Factors influencing users' satisfaction and loyalty to digital libraries in Chinese universities. Computers in Human Behavior, 83, 64-72. https://doi.org/10.1016/j.chb.2018.01.029 DOI |
41 | 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(2020)102683, 1-12. |
42 | Annaraud, K., & Berezina, K. (2020). Predicting satisfaction and intentions to use online food delivery: What really makes a difference? Journal of Foodservice Business Research, 23(4), 305-323. https://doi.org/10.1080/15378020.2020.1768039 DOI |
43 | Zhao, Q., Chen, C. D., & Wang, J. L. (2016). The effects of psychological ownership and TAM on social media loyalty: An integrated model. Telematics and Informatics, 33(4), 959-972. DOI |
44 | Chen, S. C., & Dhillon, G. S. (2003). Interpreting dimensions of consumer trust in e-commerce. Information Technology and Management, 4, 303-318. DOI |