Factors of the Quality of Information System and Technology Acceptance of Food Delivery Application Service that Effect Toward Repurchase of User in Bangkok
Main Article Content
Abstract
This research aimed to (1) study service using behavior of food delivery application user in Bangkok, (2) study the factors of quality of information system, technology recognition of food delivery application, user satisfaction and repurchase of food delivery application users in Bangkok, and (3) study factors of the quality of information system and technology recognition of food delivery application service that effect the repurchase of users in Bangkok. The population of this research were food delivery application users in Bangkok of 402 users. The sampling method was multi-stage sampling and the method for data collection was questionnaire. The statistics used consist of frequency, percentage, mean, standard deviation and Structural Equation Model.
The results showed that the causal model exhibited congruence with the empirical data with χ2/df = 0.314 P = 0.995 RMSEA = 0.000 CFI = 1.00 SRMR = 0.010 and AGFI = 0.99. Results of hypothesis testing showed that technology recognition effected user satisfaction (β = .69) user satisfaction effected repurchase (β = .48) and technology recognition indirectly effected on repurchase through user satisfaction (β = .33) at the statistically significant level of 0.05. The factors of quality of information system and technology recognition of food delivery application service could be explanatory of the variance of the repurchase of users in Bangkok at 74 percent.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Academic articles, research articles, and book reviews in the Ph.D. in Social Sciences Journal are author’s opinions, and not the publisher’s, and is not the responsibility of the Ph.D. in Social Sciences Journal Philosophy Association, Ramkhamhaeng University. (In the case that research is done on human, the researcher has to be trained in Ethics for Doing Research on Human Training and has to produce the evidence of the training).
References
Ashfaq, M., Yun, J., Waheed, A., Khan, M. S., & Farrukh, M. (2019). Customers’ expectation, satisfaction, and repurchase intention of used products online: Empirical evidence from China. Retrieved from https://journals.sagepub.com/doi/10.1177/2158244019846212
Brinkerhoff, R. O., & Dressler, D. E. (1990). Productivity measurement: A guide for managers and evaluators. Sage.
Cambridge Dictionary. (2021). Information system. Retrieved from https://dictionary.cambridge.org/dictionary/english/information-system
Chotigo, J., & Kadono, Y. (2020). Are there any key factors that encourage food delivery applications use during the COVID-19 pandemic in Thailand and the role of HRM?. Retrieved from https://content.iospress.com/articles/human-systems-management/hsm201140
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
Gilitwala, B., & Nag, A. K. (2019). A Study of factors infl uencing repurchase intention of online food delivery in Bangkok, Thailand. International Journal on Emerging Technologies, 10(3), 193-201.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson Education.
Hinkle, D. E., William, W., & Stephen, G. J. (1998). Applied statistics for the behavior sciences (4th ed.). Houghton Mifflin.
Kang, J. W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps. International Journal of Contemporary Hospitality Management, 31(2), 734-752.
Kasikorn Research Center. (2021). Covid-19 and epidemic control measures expected for the whole year 2021 Food delivery market value grew 18.4-24.4 percent. Retrieved from https://kasikornresearch.com/th/analysis/k-econ/business/Pages/food-delivery-z3256.aspx [In Thai]
Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2020). The value proposition of food delivery apps from the perspective of theory of consumption value. International Journal of Contemporary Hospitality Management, 33(4), 1129-1159.
Kwon, H. R., & Silva, E. A. (2020). Mapping the landscape of behavioral theories: Systematic literature review. Journal of Planning Literature, 35(2), 161-179.
Lee, J. H. (2019). Effects of service and mobile app quality on customer satisfaction and repurchase intention in the context of O2O food delivery services in Korea and China. Test Engineering and Management, 81(11-12), 335-345.
Mahmud, K., Imtiaz, M., & Ahmed, W. U. (2019). General consumer satisfaction towards online shopping in Bangladesh. Asia Journal of Contemporary Business, Economics and Law, 18(2), 11-21.
Norfazlina, G., Akma, S. A. S., Adrina, N. S., & Noorizan, M. M. (2016). Customer information system satisfaction and task productivity: The moderating effect of training. Procedia Economics and Finance, 37, 7-12.
Office of the Royal Thai Council. (2021). Quality. Retrieved from http://legacy.orst.go.th/?knowledges=คุณภาพ-๖-พฤษภาคม-๒๕๕๒ [In Thai]
Prasith-rathsint, S. (2012). Research methodology in social sciences (15th ed.). Samrada. [In Thai]
Rahimi, B., Nadri, B., Afshar, H. L., & Timpka, T. (2018). A systematic review of the technology acceptance model in health informatics. Application Clinic Informatics, 9(3), 604-634.
Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterion referenced test item validity. Dutch Journal of Educational Research, 2, 49-60.
Talwar, S., Dhir, A., Kaur, P., & Mantymaki, M. (2020). Why do people purchase from online travel agencies (OTAs)? A consumption values perspective. Retrieved from https://www.sciencedirect.com/science/article/pii/S0278431920300864?via%3Dihub
Theo, J. M. (2004). Productivity and employee satisfaction in fl exible workplaces. Journal of Corporate Real Estate, 6(2), 133-148.
Wang, J., Shen, X., Huang, X., & Liu, Y. (2021). Infl uencing factors of the continuous usage intention of consumers of online food delivery platform based on an information system success model. Frontiers in Psychology, 12, 1-12.
Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0969698916302855?via%3Dihub
Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations. The Free Press.
Zhang, J., Zheng, W., & Wang, S. (2019). The study of the effect of online review on purchase behavior comparing the two research methods. International Journal of Crowd Science, 4(1), 73-86.