The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse
Abstract
Abstract Mobile food ordering apps (MFOAs) have been widely considered in the restaurant sector as innovative channels to reach customers and provide them with high-quality services. However, there are important questions regarding the impact of implementing MFOAs on customer satisfaction and on customers’ intention to reuse such apps. Several studies have examined the outcomes of using MFOAs from the customer’s perspective. The fundamental purpose of this study is to identify and empirically examine the main factors predicting the e-satisfaction with MFOAs and customers’ intention to reuse such apps in Jordan. This research proposes an integrated model based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and the features of MFOAs: online review, online rating, and online tracking. The data was collected from a convenience sample of Jordanian customers who have used MFOAs. The main results are based on structural equation modelling and support the role of online review, online rating, online tracking, performance expectancy, hedonic motivation, and price value on e-satisfaction and continued intention to reuse. This study provides a theoretical contribution and presents practical implications relevant to academics and practitioners working in areas related to MFOAs.
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Cited by
Vimalkumar, M., Sharma, S. K., Singh, J. B., & Dwivedi, Y. K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106763 · Cited by 402
The value proposition of food delivery apps from the perspective of theory of consumption value
Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2020-0477 · Cited by 377
Troise, C., O'Driscoll, A., Tani, M., & Prisco, A. (2020) · British Food Journal · doi:10.1108/bfj-05-2020-0418 · Cited by 319
Gupta, A., Yousaf, A., & Mishra, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102094 · Cited by 303
Camilleri, M. A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123247 · Cited by 261
Metadata
- Authors
- Alalwan, A. A.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 50
- Pages
- 28-44
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2966032432
- Cited by
- 777
- References
- 19
- FWCI
- 85.52
- Type
- journal article
- Language
- en
- Open access
- closed
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