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Spatial Big Data and Business Location Decision-Making: Opportunities and Challenges

  • Joseph AversaEmail author
  • Tony Hernandez
  • Sean Doherty
Chapter
  • 25 Downloads

Abstract

This chapter examines the current state and trajectory of spatial big data and business location decision-making (BLDM) practices amongst major corporations in Canada. The three objectives of the chapter are: (i) to provide a research context for the study of spatial big data (SBD) and associated data science (DS) approaches in business; (ii) to identify the awareness, availability, use, adoption, integration, and development of SBD and DS within BLDM; and (iii) to explore the opportunities and challenges associated with integrating spatial big data into business organizations. The chapter presents qualitative insights from semi-structured interviews with location decision-makers from 24 major business corporations in Canada.

Keywords

Business Location decision-making Big data Location analytics Data science 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Ryerson UniversityTorontoCanada
  2. 2.Wilfrid Laurier UniversityWaterlooCanada

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