The Evolution of Corporate Location Planning: A Survey Approach

dc.contributor.author Aversa , Joe
dc.contributor.author Hernandez, Tony
dc.date.accessioned 2022-12-27T19:16:43Z
dc.date.available 2022-12-27T19:16:43Z
dc.date.issued 2023-01-03
dc.description.abstract The unprecedented growth of big data has provided opportunities for the enhancement of retail location decision-making (RLDM) activities. Through a survey of Canadian retail location decision makers, this study examines the current state and progress in: (1) the type and scale of location decisions that retail firms undertake; and (2) the availability and use of geospatial big data and analytics within the decision-making process. The study finds significant increases in the usage of geospatial big data and analytics within corporate location planning. RLDM approaches have expanded to include new data sources, such as social media and mobile location data. With technology redefining consumption behaviors, the retail sector is looking to better understand how best to serve consumers in a market experiencing significant changes to the ways consumers shop. With granular level data being integrated into RLDM a skills gap is emerging in terms of handling and analyzing geospatial big data.
dc.format.extent 9
dc.identifier.doi 10.24251/HICSS.2023.614
dc.identifier.isbn 978-0-9981331-6-4
dc.identifier.uri https://hdl.handle.net/10125/103248
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Geospatial Big Data Analytics
dc.subject geospatial big data
dc.subject location analytics
dc.subject location decision making
dc.subject retail location planning
dc.title The Evolution of Corporate Location Planning: A Survey Approach
dc.type.dcmi text
prism.startingpage 5018
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