QR Ordering System for Small Scale Eateries
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Abstract
This research and development study presents the development and evaluation of Krua Khang Baan, a free-to-use in-store ordering web application targeted at small scale food entrepreneurs to address the challenges of cost and complexity in existing point of sale (POS) systems. The system was developed using a serverless architecture on the Google Firebase platform, utilizing core services such as Firebase Hosting, Firebase Authentication, and Cloud Firestore for the real time database. The customer side application allows users to scan a table specific QR code to view the menu, select food items with options, and submit orders directly to the kitchen. Meanwhile, the vendor side application enables entrepreneurs to manage restaurant information, menus, and monitor incoming orders in real-time via a Kanban style kitchen display system. A satisfaction evaluation, conducted as a pilot study with sample groups of entrepreneurs (n=3) and customers (n=19) using a 5-point Likert scale, revealed a very high level of satisfaction. Overall mean scores exceeded 4.80 out of 5 across all aspects (S.D. < 0.58). The development results indicate that the system successfully reduces order-taking steps, minimizes communication errors, and improves order queue management without imposing additional costs on the entrepreneurs, fulfilling the project's objective of creating an accessible digital tool for small food businesses.
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References
(1) Ueasangkomsate, P. (2025). Empowering Thai SMEs through IT competency, digitalization and digital transformation for new product development. Cogent Business & Management, 12(1), 2458758.
(2) Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and e-loyalty. Journal of Retailing and Consumer Services, 53, 101961.
(3) Adzic, G., & Chatley, R. (2017). Serverless computing: economic and architectural impact (pp. 884–889). In Proceedings of Joint Meeting on Foundations of Software Engineering.
(4) Davis, F. D. (1989). Perceived usefulness, perceived ease of Use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
(5) Adzic, G., & Chatley, R. (2017). Serverless computing: Economic and architectural impact (pp. 884–889). In Proceedings of the 11th Joint Meeting on Foundations of Software Engineering. Association for Computing Machinery.
(6) Google. (2024). Firebase documentation. [online], retrieved from https://firebase.google.com/docs (29 May 2026).
(7) Otto, M., & Thornton, J. (2024). Bootstrap v5.1 documentation. [online], retrieved from https://getbootstrap.com/docs/5.1/ (29 May 2026).
(8) Google. (2024). Cloud Firestore documentation. [online], retrieved from https://https://firebase.google.com/docs/firestore (29 May 2026).