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Integrating SERVQUAL and Kano’s Model into Quality Function Deployment for Delivery Application Service Excellence Development

JO MI NA 1

1수원대학교

Excellent Accredited

ABSTRACT

The purpose of this study was to develop a scale to measure the quality of delivery app services, identify the quality properties of delivery app that need to be improved in order to enhance customer satisfaction, and suggest plans to improve them. Between April 8th to April 9th, 2019 focus group interviews (FGI) were conducted with delivery apps users who are in their 20s to develop a multi-question scale for measuring the quality of delivery apps. An online survey was conducted from June 26th to June 31st, 2019 with delivery app users who are in their 20s. A total of 390 surveys were used for data analysis. The importance of service quality, expected service quality, and perceived service quality of each delivery app property were measured and calculated as the customer satisfaction score. Quality Function Deployment (QFD) of SERVQUAL-Kano integrated model was presented through House of Quality (HOQ). The results showed that the importance of delivery app quality attributes(Whats) was in the order of detailed food photos indicating menu composition, accurate arrival time, fast delivery speed, and the number of stores available. The importance of improvement methods(Hows) was shown in the order of opening detailed photos of menus, developing franchises in various industries, increasing the number of franchises, providing tracking services for delivery drivers, adding cancellation functions immediately before preparing food, and operating a reward system for reporting part-time jobs in the comments. The results of this study can be used as a baseline for the quality properties study of delivery app, and suggest guidance on the direction of development of delivery app.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.