Characteristics of Innovative Cloud-Based Point-of-Sale System for Restaurant Operators in the Digital Age
Main Article Content
Abstract
The purpose of this research is to study the characteristics of innovative cloud-based point-of-sale systems for restaurant operators in the digital age. This research is a qualitative research, the researcher divided the research into 2 phases as follows: (1) analysis of system service providers (2) analysis of system users collect information on the web, web applications and mobile applications of service providers, together with observations and interviews with restaurant operators employees and customers, totaling 8 people, using the data recording form together with the interview form, then bring the information that has been analyzed together, with the inductive analysis method combined with the analysis by comparison of events, check the credibility of the information, with a triangular inspection method, the findings appeared to be in the same direction. The results showed that the characteristics of innovative cloud-based point-of-sale systems the characteristics consist of 7 aspects: (1) system accessibility, (2) business scalability, (3) data management capabilities, (4) security, (5) core system capabilities, (6) integration capability with other business systems or software, and (7) customer experience improvement capability.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ผลงานที่ปรากฎในวารสารฉบับนี้เป็นลิขสิทธิ์เฉพาะส่วนบุคคลของผู้เขียนซึ่งต้องรับผิดชอบต่อผลทาง กฎหมายที่อาจเกิดขึ้นได้และไม่มีผลต่อกองบรรณาธิการReferences
Adityo, R. D., & Miawarni, H. (2018). Application of billing POS (Point of Sales) on cloud computing for restaurant by using IoT (Internet of Things) device with data synchronized method in the reporting process. Journal of Electrical Engineering and Computer Sciences, 3(2), 431-438.
Alt, R. (2021). Digital transformation in the restaurant industry: Current developments and implications. Journal of Smart Tourism, 1(1), 69-74.
Alwaheidi, M. K., & Islam, S. (2022). Data-driven threat analysis for ensuring security in cloud enabled systems. Sensors, 22(15), 5726.
Amanat, A., Rizwan, M., Maple, C., Zikria, Y. B., Almadhor, A. S., & Kim, S. W. (2022). Blockchain and cloud computing-based secure electronic healthcare records storage and sharing. Retrieved from https://doi.org/10.3389/fpubh.2022.938707
Avyazova, R. K., & Blinova, E. A. (2018). Introduction of information system for optimization of restaurant management system. Retrieved from https://vmuis.ru/smus/article/view/8519
Daradkeh, F. M., Hassan, T. H., Palei, T., Helal, M. Y., Mabrouk, S., Saleh, M. I., Salem, A. E., & Elshawarbi, N. N. (2023). Enhancing Digital Presence for Maximizing Customer Value in Fast-Food Restaurants. Sustainability, 15(7), 5690.
Gursoy, D., Malodia, S., & Dhir, A. (2022). The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 31(5), 527-534.
Happ, E., Scholl-Grissemann, U., Peters, M., & Schnitzer, M. (2020). Insights into customer experience in sports retail stores. International Journal of Sports Marketing and Sponsorship, 22(2), 312-329.
Hasanah, F. N., Renaldi, F., & Umbara, F. R. (2021). Implementing Cloud Computing Technology on Restaurant’sExpenses Monitoring System. In IOP Conference Series: Materials Science and Engineering (Vol. 1115, No. 1, p. 012039). IOP Publishing.
Huo, M., Peng, J., Wu, K., Zhang, L., & Liu, Y. (2022). Tackling the Insufficient Food Supply in the Sufficient Chinese Hot-Pot Chain Restaurant Industry-A Summer Project. Global Partners in Education Journal, 10(2), 34-49.
Jitvirat, K. (2018). Model for adapting business organizations to the disruptive effects of digital technology in the 21st century. Journal of the Researchers Association, 23(2), 74-88.
Jitvirat, K. (2019a). Success Factors for Digital Transformation to Digital Thailand 4.0 in the 21st Century. Veridian E-Journal, 12(6), 1796-1816.
Jitvirat, K. (2019b). The Indicators of the Digital Transformation Trends to Digital Thailand 4.0. Veridian E-Journal, 12(4), 119-139.
Jitvirat, K. (2021). Modern strategic management. Teaching documents for the Faculty of Business Administration and Information technology. Rajamangala University of Technology Suvarnabhumi.
Jitvirat, K. (2022). Digital business management in the 21st century. Faculty of Business Administration andInformation Technology. Rajamangala University of Technology Suvarnabhumi.
Jitvirat, K. (2023a). Digital business innovations in the 21st – Century Thailand. ASEAN Journal of Management
and Innovation, 10(2), 38-55.
Jitvirat, K. (2023b). Innovation for Smart Restaurant Entrepreneur in The Digital Age. Journal of Accountancy
and Management, 15(4), 133-158.
Jitvirat, K., Charoenvaichat, K., Chongsirithitisak, T. (2024). Characteristics of Innovative Cloud-Based Point-of-Sale System for Restaurant Operators in the Digital Age. Faculty of Business Administration and Information Technology. Rajamangala University of Technology Suvarnabhumi.
Khan, W. A., Khan, F., Tahir, S., Zhang, Y., Amjad, F., & Ahmad, J. (2022). HLSBD2: a quantum secure hybrid level source based data deduplication for the cloud. Journal of Ambient Intelligence and Humanized Computing, 1-14. Retrieved from https://doi.org/10.1007/s12652-022-03875-0
Lal, A. K., & Rathore, D. (2022). A New Era for Instant Billing and Enhance Business-Utilization Billing Software (POS/PMS). Retrieved from https://doi.org/10.37591/njitm.v5i1.853
Lingutla, A., & Kumar, V. (2022). Evolution of online dating: analysis of dating preferences, user psychology and pain points in context to indian market. International Research Journal of Modernization in Engineering Technology and Science, 4(11), 784-795.
Liu, J., Yu, Y., Mehraliyev, F., Hu, S., & Chen, J. (2022). What affects the online ratings of restaurant consumers: a research perspective on text-mining big data analysis. International Journal of Contemporary Hospitality Management, 34(10), 3607-3633.
Martín Martín, D., Maya Garcia, J., & Romero Luna, I. (2022). Determinants of digital transformation in the restaurant industry. Amfiteatru Economic, 24(60), 430-446.
Matsumoto, S., Kashima, T., Matsui, T., Nakamura, K., & Matsutomi, T. (2012). Machi-POS–point of sales system for restaurant district. International Journal of Knowledge and Web Intelligence, 3(2), 130-162.
Messabia, N., Fomi, P.-R., & Kooli, C. (2022). Managing restaurants during the COVID-19 crisis: Innovating to survive and prosper. Journal of Innovation & Knowledge, 7(4), 100234.
Muryani, A. S., & Muqorobin, M. (2020). Decision Support System Using Cloud-Based Moka Pos Application to Easy In Input In Orange Carwash Blulukan Flash N0. 110 Colomadu. International Journal of Computer and Information System (IJCIS), 1(3), 66-69.
Nasser, H. S., Beydoun, A. R., & Ali, A. A. (2023). Investigating the Mediating Role of Perceived Corporate Reputation on the Relationship between Customer Satisfaction, Customer Trust, and Loyalty: A Study of Lebanese Hotels. European Journal of Science, Innovation and Technology, 3(1), 112-126.
Naveenkumar, N., Sanjay, K., Vijay, M., & Venkateshguru, K. (2023). Lightweight and Privacy-Preserving ID-as-a-Service Provisioning in Vehicular Cloud Computing (2516-2314). Retrieved from: https://doi.org/10.3390/s22155726
POSPOS. (2021a). Guide for using POSPOS with restaurants. Retrieved from https://pospos.co/article/detail/pospos-for-restaurant-shop
POSPOS. (2021b). 8 reasons why you will choose to use POSPOS Android system (Tablet). Retrieved from https://pospos.co/article/detail/screenshot-tablet
Qi, W., Sun, M., & Hosseini, S. R. A. (2023). Facilitating big-data management in modern business and organizations using cloud computing: a comprehensive study. Journal of Management & Organization, 29(4), 697-723.
Saeed, S., Nizamani, M. A., Shaikh, A., Memon, M. A., Abbasi, F. A., & Naqvi, S. M.R. (2019). Evaluating the quality of point of sale (POS) software. University of Sindh Journal of Information and Communication Technology, 3(2), 69-75.
Saputra, K. K., & Ariwangsa, I. G. O. (2022). Increasing Awareness Of Business Persons In The Use Of Cloud Pos PT. Guest Pro Indoensia. ABDIMAS: Jurnal Pengabdian Masyarakat, 5(2), 2514-2517.
Segu, S., Manish, K., Singh, H., Paul, S., & Hinduja, H. (2022). Towards Assimilating and Reconciling Customer Pain Points of Food Delivery and Logistics Industry: A Design Science Approach. International Journal of Science, Engineering and Technology,10(1), 1-9.
Simonetti, A., & Bigne, E. (2022). How visual attention to social media cues impacts visit intention and liking expectation for restaurants. International Journal of Contemporary Hospitality Management, 34(6), 2049-2070.
Sinaga-Bulgamin, S. (2022). Research of Point-of-Sale Systems for Integrating International Business Operations. Retrieved from https://www.theseus.fi/bitstream/handle/10024/784068/Sinaga-Bulgamin_andrina.pdf?sequence=2
Spence, C. (2022). On the use of ambient odours to influence the multisensory experience of dining. International Journal of Gastronomy and Food Science, 27, 100444.
Syed, O. G., Attia, M. A., & Mohamed Hussein, M. M. (2022). Impact of Motivators of Spreading Food and Beverage Rumors of Fast Food Restaurants' Brand Name on Customers' Loyalty. Minia Journal of Tourism and Hospitality Research MJTHR, 14(2), 140-159.
Thrimanna, T. (2022). Smart Restaurant. Retrieved from https://dl.ucsc.cmb.ac.lk/jspui/bitstream/123456789/4684/1/2018%20MIT%20079.pdf
Vo-Thanh, T., Zaman, M., Hasan, R., Akter, S., & Dang-Van, T. (2022). The service digitalization in fine-dining restaurants: a cost-benefit perspective. International Journal of Contemporary Hospitality Management, 34(9), 3502-3524.
Zamil, A. M. A., Al Adwan, A., & Vasista, T. G. (2022). Enhancing customer loyalty with market basket analysis using innovative methods: a python implementation approach. International Journal of Innovation, Creativity and Change, 14(2), 1351-1368.
Zapata-Cuervo, N., Montes-Guerra, M. I., & Jeong, M. (2023). How do restaurants respond to the COVID-19 pandemic? Lessons from Colombian restauranteurs and their survival strategies. Journal of Foodservice Business Research, 26(2), 186-207.