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Commercial Use of UPC Scanner Data: Industry and Academic Perspectives

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Cited by:

  1. Steven Tenn, 2006. "Avoiding aggregation bias in demand estimation: A multivariate promotional disaggregation approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(4), pages 383-405, December.
  2. Koen Pauwels & Shuba Srinivasan & Philip Hans Franses, 2007. "When Do Price Thresholds Matter in Retail Categories?," Marketing Science, INFORMS, vol. 26(1), pages 83-100, 01-02.
  3. Radek Froulík & Radek Zdeněk & Jana Lososová, 2023. "The Economy of Retail Chains in the FMCG Sector: The Case of Czechia," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 25(1), pages 20-33, June.
  4. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
  5. Stefan Sleep & John Hulland & Richard A. Gooner, 2019. "THE DATA HIERARCHY: factors influencing the adoption and implementation of data-driven decision making," AMS Review, Springer;Academy of Marketing Science, vol. 9(3), pages 230-248, December.
  6. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
  7. Germann, Frank & Lilien, Gary L. & Fiedler, Lars & Kraus, Matthias, 2014. "Do Retailers Benefit from Deploying Customer Analytics?," Journal of Retailing, Elsevier, vol. 90(4), pages 587-593.
  8. Steven M. Shugan, 2004. "Editorial: Consulting, Research, and Consulting Research," Marketing Science, INFORMS, vol. 23(2), pages 173-179.
  9. Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2004. "Decomposing the Sales Promotion Bump with Store Data," Marketing Science, INFORMS, vol. 23(3), pages 317-334, December.
  10. Emek Basker, 2012. "Raising the Barcode Scanner: Technology and Productivity in the Retail Sector," NBER Chapters,in: Standards, Patents and Innovations National Bureau of Economic Research, Inc.
  11. Stockton, Matthew C. & Capps, Oral, Jr., 2005. "Demand System Analysis With Emphasis On Container Sizes Of Non-Alcoholic Beverages," 2005 Annual meeting, July 24-27, Providence, RI 19137, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  12. Almohri, Haidar & Chinnam, Ratna Babu & Colosimo, Mark, 2019. "Data-driven analytics for benchmarking and optimizing the performance of automotive dealerships," International Journal of Production Economics, Elsevier, vol. 213(C), pages 69-80.
  13. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
  14. Dinesh Kumar Gauri & Janos Gabor Pauler & Minakshi Trivedi, 2009. "Benchmarking Performance in Retail Chains: An Integrated Approach," Marketing Science, INFORMS, vol. 28(3), pages 502-515, 05-06.
  15. Shaobo Li & Matthew J. Schneider & Yan Yu & Sachin Gupta, 2023. "Reidentification Risk in Panel Data: Protecting for k -Anonymity," Information Systems Research, INFORMS, vol. 34(3), pages 1066-1088, September.
  16. Jorge Silva-Risso & Irina Ionova, 2008. "—A Nested Logit Model of Product and Transaction-Type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, INFORMS, vol. 27(4), pages 545-566, 07-08.
  17. Ashish Sinha & J. Jeffrey Inman & Yantao Wang & Joonwook Park & Gerard J. Tellis & Rajesh K. Chandy & Deborah MacInnis & Pattana Thaivanich, 2005. "Practice Prize Reports," Marketing Science, INFORMS, vol. 24(3), pages 351-366, September.
  18. Rust, Roland T. & Espinoza, Francine, 2006. "How technology advances influence business research and marketing strategy," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1072-1078, October.
  19. Jorge Silva-Risso & William V. Shearin & Irina Ionova & Alexei Khavaev & Deirdre Borrego, 2008. "Chrysler and J. D. Power: Pioneering Scientific Price Customization in the Automobile Industry," Interfaces, INFORMS, vol. 38(1), pages 26-39, February.
  20. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
  21. Uncles, Mark D., 2010. "Is marketing academia losing its way? It depends where you look," Australasian marketing journal, Elsevier, vol. 18(3), pages 165-167.
  22. Steven M. Shugan, 2002. "In Search of Data: An Editorial," Marketing Science, INFORMS, vol. 21(4), pages 369-377.
  23. Kurt A. Jetta & Erick W. Rengifo, 2009. "Improved Baseline Sales," Fordham Economics Discussion Paper Series dp2009-02, Fordham University, Department of Economics.
  24. Shunsuke Managi & Yasutaka Yamamoto & Hiroyuki Iwamoto & Kiyotaka Masuda, 2008. "Valuing the influence of underlying attitudes and the demand for organic milk in Japan," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 339-348, November.
  25. Sunhee Choi & Sangno Lee & Wesley Friske, 2018. "The Effects of Featured Advertising and Package Labeling on Sustainability of Cause-Related Marketing (CRM) Products," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
  26. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
  27. Choi, Sunhee & Duhan, Dale F. & Dass, Mayukh, 2023. "The influence of corporate social responsibility appeals (CSRAs) on product sales: Which appeal types perform better?," Journal of Retailing, Elsevier, vol. 99(1), pages 115-135.
  28. David Besanko & Jean-Pierre Dubé & Sachin Gupta, 2003. "Competitive Price Discrimination Strategies in a Vertical Channel Using Aggregate Retail Data," Management Science, INFORMS, vol. 49(9), pages 1121-1138, September.
  29. Guyt, Jonne & Gijsbrechts, Els, 2018. "On consumer choice patterns and the net impact of feature promotions," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 490-508.
  30. Shuba Srinivasan & Koen Pauwels & Dominique M. Hanssens & Marnik G. Dekimpe, 2004. "Do Promotions Benefit Manufacturers, Retailers, or Both?," Management Science, INFORMS, vol. 50(5), pages 617-629, May.
  31. Lilien, Gary L., 2010. "Is academic marketing losing its way? Embrace intermediaries," Australasian marketing journal, Elsevier, vol. 18(3), pages 174-176.
  32. Pauler, Gabor & Trivedi, Minakshi & Gauri, Dinesh Kumar, 2009. "Assessing store performance models," European Journal of Operational Research, Elsevier, vol. 197(1), pages 349-359, August.
  33. Christine Moorman & Rex Du & Carl F. Mela, 2005. "The Effect of Standardized Information on Firm Survival and Marketing Strategies," Marketing Science, INFORMS, vol. 24(2), pages 263-274, September.
  34. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
  35. Casado, Esteban & Ferrer, Juan-Carlos, 2013. "Consumer price sensitivity in the retail industry: Latitude of acceptance with heterogeneous demand," European Journal of Operational Research, Elsevier, vol. 228(2), pages 418-426.
  36. John D. C. Little, 2004. "Comments on ÜModels and Managers: The Concept of a Decision CalculusÝ," Management Science, INFORMS, vol. 50(12_supple), pages 1854-1860, December.
  37. Weber, Anett & Steiner, Winfried J., 2021. "Modeling price response from retail sales: An empirical comparison of models with different representations of heterogeneity," European Journal of Operational Research, Elsevier, vol. 294(3), pages 843-859.
  38. Bogomolova, Svetlana & Szabo, Marietta & Kennedy, Rachel, 2017. "Retailers' and manufacturers' price-promotion decisions: Intuitive or evidence-based?," Journal of Business Research, Elsevier, vol. 76(C), pages 189-200.
  39. Amy Hillier, 2008. "Childhood Overweight and the Built Environment: Making Technology Part of the Solution rather than Part of the Problem," The ANNALS of the American Academy of Political and Social Science, , vol. 615(1), pages 56-82, January.
  40. Csilla Horváth & Dennis Fok, 2013. "Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions," Marketing Science, INFORMS, vol. 32(1), pages 127-152, July.
  41. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
  42. Trindade, Graça & Ambrósio, Jorge, 2012. "An optimization method to estimate models with store-level data: A case study," European Journal of Operational Research, Elsevier, vol. 217(3), pages 664-672.
  43. Bart J. Bronnenberg & Vijay Mahajan, 2001. "Unobserved Retailer Behavior in Multimarket Data: Joint Spatial Dependence in Market Shares and Promotion Variables," Marketing Science, INFORMS, vol. 20(3), pages 284-299, October.
  44. Dick R. Wittink, 2001. "Market Measurement and Analysis: The First “Marketing Science” Conference," Marketing Science, INFORMS, vol. 20(4), pages 349-356.
  45. Stewart, David W., 2009. "Marketing accountability: Linking marketing actions to financial results," Journal of Business Research, Elsevier, vol. 62(6), pages 636-643, June.
  46. Ma, Shaohui & Fildes, Robert, 2017. "A retail store SKU promotions optimization model for category multi-period profit maximization," European Journal of Operational Research, Elsevier, vol. 260(2), pages 680-692.
  47. K. Sudhir, 2001. "Structural Analysis of Manufacturer Pricing in the Presence of a Strategic Retailer," Marketing Science, INFORMS, vol. 20(3), pages 244-264, October.
  48. Liang Guo, 2009. "The Benefits of Downstream Information Acquisition," Marketing Science, INFORMS, vol. 28(3), pages 457-471, 05-06.
  49. Stockton, Matthew C., 2005. "A Demand System Analysis With Emphasis On Container Size Of Fluid Milk," A.E. Research Series 305036, University of Idaho, Department of Agricultural Economics and Rural Sociology.
  50. Roberts, John H. & Kayande, Ujwal & Stremersch, Stefan, 2014. "From academic research to marketing practice: Exploring the marketing science value chain," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 127-140.
  51. Wierenga, Berend, 2011. "Managerial decision making in marketing: The next research frontier," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 89-101.
  52. Gupta, Sunil, 2009. "Customer-Based Valuation," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 169-178.
  53. Ceren Kolsarici & Demetrios Vakratsas, 2015. "Correcting for Misspecification in Parameter Dynamics to Improve Forecast Accuracy with Adaptively Estimated Models," Management Science, INFORMS, vol. 61(10), pages 2495-2513, October.
  54. Matthew J. Schneider & Sharan Jagpal & Sachin Gupta & Shaobo Li & Yan Yu, 2018. "A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data," Marketing Science, INFORMS, vol. 37(1), pages 153-171, January.
  55. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  56. Stockton, Matthew C. & Capps, Oral Jr., 2005. "Nerlovian Hedonic Models For Three Different Container Sizes Of Fluid Milk," A.E. Research Series 305038, University of Idaho, Department of Agricultural Economics and Rural Sociology.
  57. Nobuhiko Terui & Masataka Ban, 2008. "Modeling heterogeneous effective advertising stock using single-source data," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 415-438, December.
  58. Suresh Divakar & Brian T. Ratchford & Venkatesh Shankar, 2005. "Practice Prize Article—: A Multichannel, Multiregion Sales Forecasting Model and Decision Support System for Consumer Packaged Goods," Marketing Science, INFORMS, vol. 24(3), pages 334-350, July.
  59. Guyt, Jonne, 2015. "Consumer choice models on the effect of promotions in retailing," Other publications TiSEM c310f652-d725-4764-aac7-b, Tilburg University, School of Economics and Management.
  60. Robert P. Rooderkerk & Harald J. van Heerde & Tammo H. A. Bijmolt, 2013. "Optimizing Retail Assortments," Marketing Science, INFORMS, vol. 32(5), pages 699-715, September.
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