The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
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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Citations
Cites
Regression shrinkage and selection via the lasso
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Data clustering: 50 years beyond K-means
Jain, A. K. (2009) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.09.011 · Cited by 10,021
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Shapiro, C., & Varian, H. (1999) · The Journal of Economic Education · doi:10.2307/1183273 · Cited by 5,225
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Shaw, M. J., Shapiro, C., & Varian, H. R. (2000) · Academy of Management Review · doi:10.2307/259025 · Cited by 4,416
Detecting influenza epidemics using search engine query data
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295
The Calculation of Posterior Distributions by Data Augmentation
Tanner, M. A., & Wong, W. H. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478458 · Cited by 3,929
Big Data : The Management Revolution
マカフィー, ア., ブリニョルフソン, エ., & 有賀, 裕. (2013) · Harvard business review · Cited by 3,545
The Parable of Google Flu: Traps in Big Data Analysis
Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014) · Science · doi:10.1126/science.1248506 · Cited by 2,523 · cited 1×
“Later a deeper analysis showed that these 'theory-free' projections were overpredicting actual cases by 100%, among other problems that arose (see Lazer et al. 2014 for a review).”
Background
Research works printed but not linked: 2
- Cooper, 1988, Vol. 1
- Van Bommel, 2014, Digitizing the Consumer Decision Journey, McKinsey Quarterly
Cited by
Sorted by citations
Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017) · Journal of Retailing · doi:10.1016/j.jretai.2016.12.008 · Cited by 1,195
Wamba, S. F., Dubey, R., Gunasekaran, A., & Akter, S. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.09.019 · Cited by 840
The future of technology and marketing: a multidisciplinary perspective
Grewal, D., Hulland, J. S., Kopalle, P. K., & Karahanna, E. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00711-4 · Cited by 710
Self-citationThe value of online surveys: a look back and a look ahead
Evans, J. R., & Mathur, A. (2018) · Internet Research · doi:10.1108/intr-03-2018-0089 · Cited by 549
Artificial intelligence applications in supply chain management
Pournader, M., Ghaderi, ., Hassanzadegan, A., & Fahimnia, B. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108250 · Cited by 633
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
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