Retailing and retailing research in the age of big data analytics
Open accessAbstract
As a research domain, the retail sector has always had many appealing features, such as its size, its multi-faceted and dynamic nature, the possibility for researchers to exploit their own domain knowledge, and an extensive coverage by business analysts. In addition, the above-average availability of good-quality data has historically been an additional selling point to empirical researchers. The paper considers to what extent the latter still holds, and explores a number of additional opportunities and challenges that emerge from the ongoing big data revolution. This is done from five perspectives: retail managers, retailing researchers, public-policy makers, investors, and retailing educators.
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- Authors
- Dekimpe, M. G.
- Affiliations
- Tilburg University (NL)
- Corresponding author
- Dekimpe, Marnik G.
- ORCID
- Dekimpe, Marnik G.
- Venue
- International Journal of Research in Marketing
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 37
- Issue
- 1
- Pages
- 3-14
- ISSN
- 0167-8116 (ISSN-L)
- OpenAlex
- W2977015343
- Cited by
- 202
- References
- 78
- Citations by year
- 2026: 15 · 2025: 19 · 2024: 47 · 2023: 45 · 2022: 31 · 2021: 33 · 2020: 12
- FWCI
- 25.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Research in Marketing (publishedVersion, cc-by)
- Research portal (Tilburg University) (publishedVersion, other-oa)
- Tilburg University Research Portal (publishedVersion, other-oa)
- Lirias (KU Leuven) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
- Keywords
- big data analytics, data quality, retail management, retail policy, retail investment, research opportunities and challenges
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