Edited by Emek Basker
Chapter 20: Big data and the future of retail research
Abstract‘Big data’ refers to datasets whose size is beyond the typical database and analytics software tools to capture, store, manage, and analyze. This chapter describes the opportunities and challenges that ‘big data’ bring to academic research in economics and marketing in retail and distribution. Several data sources are described, as well as methodologies for analyzing them and opportunities for linking information from multiple high-volume, high-velocity sources, including purchase data, Internet search data, network and unstructured data, and consumer location data.
You are not authenticated to view the full text of this chapter or article.
Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.
Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.
Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.