The Evolution of Corporate Location Planning: A Survey Approach

Date
2023-01-03
Authors
Aversa , Joe
Hernandez, Tony
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
5018
Ending Page
Alternative Title
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.
Description
Keywords
Geospatial Big Data Analytics, geospatial big data, location analytics, location decision making, retail location planning
Citation
Extent
9
Format
Geographic Location
Time Period
Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.