Restaurant analytics: Emerging practice and research opportunities

• 成果类型: Article
• 署名作者: Roy, Debjit; Spiliotopoulou, Eirini; de Vries, Jelle
• 署名单位: Indian Institute of Management (IIM System); Indian Institute of Management Ahmedabad; Erasmus University Rotterdam - Excl Erasmus MC; Erasmus University Rotterdam; Tilburg University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13809
• 发表日期: 2022
• 页码: 3687-3709
• 关键词: big data; business analytics; data-driven decisions; Data-Driven Optimization; restaurant operations; service operations

摘要

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.