{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T02:07:06Z","timestamp":1778983626638,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,25]],"date-time":"2022-06-25T00:00:00Z","timestamp":1656115200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,25]]},"DOI":"10.1145\/3549843.3549859","type":"proceedings-article","created":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T18:29:58Z","timestamp":1663784998000},"page":"102-110","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence Adoption in QSR Industry"],"prefix":"10.1145","author":[{"given":"Angela S.H","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Computing and Information Systems, School of Engineering and Technology Sunway University, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atul","family":"Bengeri","sequence":"additional","affiliation":[{"name":"Linc Education, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chong Chin","family":"Kan","sequence":"additional","affiliation":[{"name":"Department of Computing and Information Systems, School of Engineering and Technology Sunway University, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Top cloud Service Providers & companies","author":"Maguire J.","year":"2021","unstructured":"Maguire, J. (2021). Top cloud Service Providers & companies 2022. Datamation. Retrieved from https:\/\/www.datamation.com\/cloud\/cloud-service-providers\/"},{"key":"e_1_3_2_2_2_1","unstructured":"Data Warehouse Concepts (n.d.). Amazon.com. Retrieved from https:\/\/aws.amazon.com\/data-warehouse"},{"key":"e_1_3_2_2_3_1","volume-title":"A Brief Introduction to the Concept of Data Warehouse.","author":"Tiwari N","year":"2021","unstructured":"Tiwari, N (2021). A Brief Introduction to the Concept of Data Warehouse. Retrieved from https:\/\/www.analyticsvidhya.com\/blog\/2021\/07\/a-brief-introduction-to-data-warehouse\/"},{"key":"e_1_3_2_2_4_1","unstructured":"Software Advisory Service (n.d.). How BI and Big Data is Essential to McDonald's Growth Strategy. Retrieved from https:\/\/www.softwareadvisoryservice.com\/en\/blog\/how-bi-and-big-data-is-essential-to-mcdonald-s-growth-strategy\/"},{"key":"e_1_3_2_2_5_1","unstructured":"Yum! Brands (n.d.). Using Data to Craft Predictive Technology Solutions for the World's Largest Restaurant Company. Retrieved from https:\/\/www.yum.com\/wps\/portal\/yumbrands\/Yumbrands\/careers\/yum-digital-tech\/data-and-advanced-analytics"},{"key":"e_1_3_2_2_6_1","volume-title":"J.","author":"Deliverect","year":"2021","unstructured":"Deliverect (2021). The Pros and Cons of the Omni-channel Strategy for Restaurants. Retrieved from https:\/\/www.deliverect.com\/en\/blog\/omni-channel-restaurant\/the-pros-and-cons-of-the-omni-channel-strategy-for-restaurants Elliott, J. (2021). How to Solve 8 Pressing Restaurant Business Challenges. Retrieved from https:\/\/www.fool.com\/the-blueprint\/restaurant-business-challenges\/"},{"key":"e_1_3_2_2_7_1","unstructured":"Mirus (n.d.). Restaurant data warehouse. Retrieved from https:\/\/www.mirus.com\/restaurant-data-warehouse"},{"key":"e_1_3_2_2_8_1","unstructured":"Tenzo. (2017 October 30). How to Get Value from Your Restaurant Data Warehouse. Retrieved from https:\/\/tenzoinc.medium.com\/how-to-get-value-from-your-restaurant-data-warehouse-abc58695428d"},{"key":"e_1_3_2_2_9_1","unstructured":"WIRED (n.d.). McDonald's Bites on Big Data With $300 Million Acquisition Retrieved from https:\/\/www.wired.com\/story\/mcdonalds-big-data-dynamic-yield-acquisition\/"},{"key":"e_1_3_2_2_10_1","unstructured":"Brown L. (2020 April 15). Restaurants Relying on Omnichannel Strategies Can Survive the Pandemic. Retrieved from GlobeSt.com https:\/\/www.globest.com\/2020\/04\/15\/clear-winners-are-restaurants-relying-on-omnichannel-strategies\/?slreturn=20220105151743"},{"key":"e_1_3_2_2_11_1","volume-title":"Achieving Assurance of Supply in an Omni-Channel World. Deloitte.Com.","author":"Cascone J.","year":"2015","unstructured":"Cascone, J., Llp, T., & Ladd, B. (2015). Achieving Assurance of Supply in an Omni-Channel World. Deloitte.Com. Retrieved from https:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/global\/Documents\/Consumer-Business\/gx-cb-supply-chain-omnichannel-020315.pdf"},{"key":"e_1_3_2_2_12_1","unstructured":"Casta\u00f1\u00f3n J. (2019 May 1). 10 Machine Learning Methods that Every Data Scientist Should Know. Towards Data Science. Retrieved from https:\/\/towardsdatascience.com\/10-machine-learning-methods-that-every-data-scientist-should-know-3cc96e0eeee9"},{"key":"e_1_3_2_2_13_1","unstructured":"Cummins P. (2021 June 25). Role of AI & Machine Learning in restaurant business. DataDrivenInvestor. https:\/\/medium.datadriveninvestor.com\/role-of-ai-machine-learning-in-restaurant-business-a8da97aebf65+"},{"key":"e_1_3_2_2_14_1","volume-title":"Machine learning for restaurants and food services \u2013 examples, challenges, trends. Emerj Artificial Intelligence Research","author":"Faggella D.","unstructured":"Faggella, D. (2018, March 14). Machine learning for restaurants and food services \u2013 examples, challenges, trends. Emerj Artificial Intelligence Research; Emerj. https:\/\/emerj.com\/ai-sector-overviews\/machine-learning-restaurants-food-services-examples-challenges-trends\/"},{"key":"e_1_3_2_2_15_1","unstructured":"Sotelo D. (2017 May 27). Categorizing a fast-food menu using K-Means clustering. Medium. https:\/\/medium.com\/@sotelo.d.a\/categorization-a-fast-food-menu-using-k-means-clustering-30dccb56f660"},{"key":"e_1_3_2_2_16_1","volume-title":"Machine learning demand forecasting methods for sales prediction","author":"Taranenko L.","year":"2021","unstructured":"Taranenko, L. (2021, July 7). Machine learning demand forecasting methods for sales prediction in 2021. MobiDev. https:\/\/mobidev.biz\/blog\/machine-learning-methods-demand-forecasting-retail"},{"key":"e_1_3_2_2_17_1","unstructured":"Ng A. (n.d.). Association rules and the Apriori algorithm: A tutorial. KDnuggets. Retrieved from https:\/\/www.kdnuggets.com\/2016\/04\/association-rules-apriori-algorithm-tutorial.html"},{"key":"e_1_3_2_2_18_1","unstructured":"LearnAnalytics. (2019 November 13). Understanding the 7 V's of Big Data. Big Data Path. Retrieved from https:\/\/bigdatapath.wordpress.com\/2019\/11\/13\/understanding-the-7-vs-of-big-data\/"},{"key":"e_1_3_2_2_19_1","unstructured":"Divekar U. (2019 September 24). Restaurant Sales Prediction using machine learning. Analytics Vidhya. https:\/\/medium.com\/analytics-vidhya\/restaurant-sales-prediction-using-machine-learning-24928a2e3206"},{"key":"e_1_3_2_2_20_1","unstructured":"How BI and big data is essential to McDonald's growth strategy. (2019 March 27). Software Advisory Service. https:\/\/www.softwareadvisoryservice.com\/en\/blog\/how-bi-and-big-data-is-essential-to-mcdonald-s-growth-strategy\/"},{"key":"e_1_3_2_2_21_1","unstructured":"A Simple Guide to Data Preprocessing in Machine Learning. (n.d.). V7labs.Com. Retrieved from https:\/\/www.v7labs.com\/blog\/data-preprocessing-guide"},{"key":"e_1_3_2_2_22_1","volume-title":"magnify QSR digital marketing","author":"I's","year":"2019","unstructured":"AI's power to simplify, magnify QSR digital marketing. (2019, July 8). Restauranttech.Co. https:\/\/restauranttech.co\/ais-power-to-simplify-magnify-qsr-digital-marketing\/"},{"key":"e_1_3_2_2_23_1","unstructured":"Analytics for small\/medium scale quick service restaurants. (2021 September 29). Analytics India Magazine. https:\/\/analyticsindiamag.com\/analytics-for-small-medium-scale-quick-service-restaurants\/"},{"key":"e_1_3_2_2_24_1","unstructured":"Data & advanced analytics. (n.d.). Yum.Com. Retrieved February 18 2022 from https:\/\/www.yum.com\/wps\/portal\/yumbrands\/Yumbrands\/careers\/yum-digital-tech\/data-and-advanced-analytics"},{"key":"e_1_3_2_2_25_1","unstructured":"Data Preprocessing in Machine Learning. (2019 December 16). EDUCBA. https:\/\/www.educba.com\/data-preprocessing-in-machine-learning\/"},{"key":"e_1_3_2_2_26_1","unstructured":"Deep A. I. (2020 January 13). AI for the quick service restaurant industry \u2014 Deep.BI - AI Powered Predictive Analytics Platform for Enterprises. https:\/\/www.deep.bi\/blog\/ai-and-business-intelligence-for-the-quick-service-restaurant-industry-and-retail"},{"key":"e_1_3_2_2_27_1","unstructured":"Shaikh J. (2017 September 11). Tools for data scientists to improve their productivity. Analytics Vidhya. https:\/\/www.analyticsvidhya.com\/blog\/2017\/09\/essential-tools-data-scientist-improve-productivity\/"},{"key":"e_1_3_2_2_28_1","unstructured":"Team ZineOne. (2020 November 25). Machine learning in the QSR. ZineOne. https:\/\/www.zineone.com\/blog\/machine-learning-in-the-qsr\/"},{"key":"e_1_3_2_2_29_1","unstructured":"Data-Flair Training (N.d.). Machine Learning Classification \u2013 8 Algorithms for Data Science Aspirants. Retrieved from https:\/\/data-flair.training\/blogs\/machine-learning-classification-algorithms\/"}],"event":{"name":"ICEBT 2022: 2022 6th International Conference on E-Education, E-Business and E-Technology","location":"Beijing China","acronym":"ICEBT 2022"},"container-title":["Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3549843.3549859","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3549843.3549859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T01:37:57Z","timestamp":1778981877000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3549843.3549859"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,25]]},"references-count":29,"alternative-id":["10.1145\/3549843.3549859","10.1145\/3549843"],"URL":"https:\/\/doi.org\/10.1145\/3549843.3549859","relation":{},"subject":[],"published":{"date-parts":[[2022,6,25]]},"assertion":[{"value":"2022-09-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}