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The Role of Big Data and Predictive Analytics in Retailing
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“Nevertheless, the benefits of big data analytics appear not to be derived from the enormous size of the data, but only emerge when working with fine-grained data (Bradlow et al., 2017;Martens et al., 2016).”
From COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2021) · cites this paper as Bradlow et al., 2017
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Metadata
- Authors
- Bradlow, E. T., Gangwar, M., Kopalle, P., & Voleti, S.
- Affiliations
- University of Pennsylvania (US)
- Indian School of Business (IN)
- Dartmouth College (US)
- Corresponding author
- Kopalle, Praveen
- Venue
- Journal of Retailing
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 93
- Issue
- 1
- Pages
- 79-95
- ISSN
- 0022-4359 (ISSN-L)
- OpenAlex
- W2599766447
- Cited by
- 516
- References
- 86
- Citations by year
- 2026: 39 · 2025: 59 · 2024: 62 · 2023: 57 · 2022: 71 · 2021: 81 · 2020: 63 · 2019: 47 · 2018: 35 · 2017: 2
- FWCI
- 68.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Retailing (publishedVersion)
- Digital Eprints Services at ISB (DESI) (Indian School of Business) (acceptedVersion)
- 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 › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data, predictive analytics, retail trade, customer data, product data, geospatial data, retail channels, Bayesian analysis, hierarchical models, data augmentation, field experiments, data quality, privacy, data ethics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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