A Dynamic Capabilities Perspective on Restaurant Demand Forecasting: Insights from a Large Restaurant Chain

dc.contributor.authorChae, Bongsug
dc.contributor.authorSheu, Chwen
dc.contributor.authorPark, Eunhye
dc.date.accessioned2025-12-23T16:35:35Z
dc.date.available2025-12-23T16:35:35Z
dc.date.issued2026-01-06
dc.description.abstractThe previous literature on restaurant businesses provides limited insight into demand forecasting. As a theoretical foundation, this research adopts a dynamic capabilities perspective on demand forecasting. From this viewpoint, restaurants possess different levels of demand forecasting capabilities. This study enhances a range of these capabilities across various market scenarios by utilizing different data and analytics tools. By introducing the dynamic capabilities perspective, this research aims to help restaurants assess their demand forecasting capabilities and provide strategic guidance for developing optimal demand forecasting strategies, considering both the technical and organizational resources available within and outside their business, as well as various market conditions.
dc.format.extent10 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2026.156
dc.identifier.isbn978-0-9981331-9-5
dc.identifier.otherde70b952-8b6d-4082-868e-a12c8781c5b0
dc.identifier.urihttps://hdl.handle.net/10125/111551
dc.language.isoeng
dc.relation.ispartofProceedings of the 59th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData Science and Machine Learning to Support Business Decisions
dc.subjectanalytics capabilities
dc.subjectbig data capabilities
dc.subjectdata capabilities
dc.subjectdynamic capabilities
dc.subjectrestaurant demand forecasting
dc.titleA Dynamic Capabilities Perspective on Restaurant Demand Forecasting: Insights from a Large Restaurant Chain
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage1310

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