ANALYSIS OF THE EFFECT OF THE QUALITY OF SHOOPEFOOD DRIVER APPLICATION FEATURES ON THE LEVEL OF PARTNER SATISFACTION IN MAKASSAR
DOI:
https://doi.org/10.61912/jeinsa.v4i2.333Keywords:
App, Satisfaction, Quality, ShopeefoodAbstract
The ShopeeFood Driver app is designed to provide opportunities and employment in the online food delivery sector, but it still has several shortcomings related to its features. This study aims to analyze the effect of the quality of the ShopeeFood Driver app's features on the satisfaction level of driver partners in Makassar. In the digital economy, the quality of app features is a crucial factor influencing the effectiveness and satisfaction of ShopeeFood driver partners. This research approach is quantitative and descriptive, with the researcher directly involved in the data collection, observation, and interpretation process in the field. Data were obtained through questionnaires with 20 ShopeeFood driver partners in the Makassar area. The results showed an average feature quality of 3.56 and partner satisfaction of 3.63, which are considered good indicators. This result indicates that the better the feature quality, the higher the partner satisfaction level. This finding confirms that improving the quality of app features has a direct impact on partner satisfaction and loyalty.
References
Albert, W., & Tullis, T. (2022). Measuring The user experience: Collecting, analyzing, and presenting UX metrics (3rd ed.). Morgan Kaufmann.
Giebel, C. M., Scala, D., & Brooks, D. (2024). Quality assessment of mHealth apps: A scoping review. Journal of Mobile Health Research, 12(3), 44–59.
Gothelf, J., & Seiden, J. (2016). Lean UX: Designing great products with agile teams (2nd ed.).O’Reilly Media.
Ighomereho, O. S., Ojo, A. A., Omoyele, S. O., & Olabode, O. P. (2022). From service quality to e-service quality: Measurement, dimensions and model. Journal of Management Information and Decision Sciences, 25(1), 1–15.
Kessler, S. (2018). Gigged: The end of the job and the future of work. St. Martin’s Press.
Knapp, J., Zeratsky, J., & Kowitz, B. (2016). Sprint: How to solve big problems and test new ideas in just five days. Simon & Schuster.
Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer loyalty: The moderating role of customer’s prior experience. International Journal of Electronic Commerce Studies, 10(1), 1–38.
Rosenblat, A. (2018). Uberland: How algorithms are rewriting the rules of work. University of California Press.
Scala, D., Brooks, D., & Giebel, C. M. (2024). A systematic review and assessment of mobile application quality using the MARS framework. International Journal of Human-Computer Interaction, 40(2), 155–174.
Shin, H. (2024). Determining directions of service quality management through review mining: An empirical analysis of digital platforms. Service Quality Review, 9(1), 45–62.
Srnicek, N. (2017). Platform capitalism. Polity Press.
Stoyanov, S. R., Hides, L., Kavanagh, D. J., & Wilson, H. (2016). Development and validation of the user version of the Mobile Application Rating Scale (uMARS). JMIR mHealth and uHealth, 4(2), e72.
Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Woodcock, J., & Graham, M. (2019). The gig economy: A critical introduction. Polity Press.
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