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All Journal Journal of the Community Development in Asia
Saxena, Mansi
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Humanities

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AI-assisted Food Ordering and Delivery Management System for KFC: Insights from Malaysia, Indonesia and India Liem, Gai Sin; Koay, Loke Kean; Sanderan, Padmavathy A/P; Pong, Hui Ling; Poon, Zi Ying; Marimuthu, Sahliny A/P; Gisca, Aulia Purdiana; Gupta, Manshi; Saxena, Mansi; Kee, Daisy Mui Hung
Journal of The Community Development in Asia Vol 6, No 3 (2023): Journal of The Community Development in Asia (JCDA)
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v6i3.2540

Abstract

AI-assisted food ordering and delivery management systems is a revolutionary technology which aims to improve the ordering and delivery process of food by incorporating artificial intelligence. Hence, most of the restaurant owners had implemented AI-assisted food ordering and delivery management systems for improving the business efficiency and customer satisfaction. The objective of this paper is to evaluate how the AI-assisted service can create efficient planning and better customer satisfaction, predict consumer behavior which can save time and wastage of products for the restaurants. There were 100 respondents who participated in the online survey. The study and findings indicate that perceived convenience, reliability, price, ease of use, enjoyment, trust, social influence, and attitude influence consumers' behavioral intentions for food delivery services. Subsequently, this research contributes to a deeper understanding of the AI-assisted food ordering and delivery management system for restaurants. Recommendations and consequences were presented.
AI-assisted Food Ordering and Delivery Management System for KFC: Insights from Malaysia, Indonesia and India Liem, Gai Sin; Koay, Loke Kean; Sanderan, Padmavathy A/P; Pong, Hui Ling; Poon, Zi Ying; Marimuthu, Sahliny A/P; Gisca, Aulia Purdiana; Gupta, Manshi; Saxena, Mansi; Kee, Daisy Mui Hung
Journal of The Community Development in Asia Vol 6, No 3 (2023): September 2023
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v6i3.2540

Abstract

AI-assisted food ordering and delivery management systems is a revolutionary technology which aims to improve the ordering and delivery process of food by incorporating artificial intelligence. Hence, most of the restaurant owners had implemented AI-assisted food ordering and delivery management systems for improving the business efficiency and customer satisfaction. The objective of this paper is to evaluate how the AI-assisted service can create efficient planning and better customer satisfaction, predict consumer behavior which can save time and wastage of products for the restaurants. There were 100 respondents who participated in the online survey. The study and findings indicate that perceived convenience, reliability, price, ease of use, enjoyment, trust, social influence, and attitude influence consumers' behavioral intentions for food delivery services. Subsequently, this research contributes to a deeper understanding of the AI-assisted food ordering and delivery management system for restaurants. Recommendations and consequences were presented.
Co-Authors Gisca, Aulia Purdiana Gupta, Manshi Kee, Daisy Mui Hung Koay, Loke Kean Liem, Gai Sin Marimuthu, Sahliny A/P Pong, Hui Ling Poon, Zi Ying Sanderan, Padmavathy A/P