Restaurant analytics: Emerging practice and research opportunities
Roy,Debjit Spiliotopoulou,Eirini Vries,Jelle de
Roy,Debjit
Spiliotopoulou,Eirini
Vries,Jelle de
Abstract
Smart technologies and increased data availability enable restaurateurs to gather more information about customers and their behavior. These data can be combined with data from other sources to make a wide range of strategic and operational restaurant decisions, and can therefore generate tremendous value for restaurants and their customers. This study focuses on discussing the most promising research opportunities in restaurant operations that leverage data analytics. In particular, we focus on specific research questions across restaurant decision domains such as location, reservation and table management, queue management, menu design and engineering, and multichannel order management. For each research question, we motivate its practical and theoretical relevance, identify data sources, propose a methodological approach for analysis, and discuss actionable insights for practitioners. As a result, this paper aims to highlight data analytics opportunities for restaurateurs and inspire researchers to contribute in this domain.
Description
Funding Information: The authors gratefully thank the special issue editors, Subodha Kumar and Sushil Gupta, the anonymous senior editor, and reviewers for their helpful suggestions that significantly improved the paper. Publisher Copyright: © 2022 The Authors. Production and Operations Management published by Wiley Periodicals LLC on behalf of Production and Operations Management Society.
Date
2022-10
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Research Projects
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Keywords
big data, business analytics, data-driven decisions, data-driven optimization, restaurant optimization, restaurant operations, service operations
Citation
Roy, D, Spiliotopoulou, E & Vries, J D 2022, 'Restaurant analytics: Emerging practice and research opportunities', Production and Operations Management, vol. 31, no. 10, pp. 3687-3709. https://doi.org/10.1111/poms.13809