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Using Data and Big Data in Retailing

Author

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  • Marshall Fisher
  • Ananth Raman

Abstract

In this essay, we examine how retailers can use data to make better decisions and hence, improve their performance. We have been studying retail operations for over two decades and have witnessed many, and been personally involved in a few, projects that delivered considerable value to retailers by better exploiting data. We highlight a few of these examples and also identify some other potential applications.

Suggested Citation

  • Marshall Fisher & Ananth Raman, 2018. "Using Data and Big Data in Retailing," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1665-1669, September.
    • Handle: RePEc:bla:popmgt:v:27:y:2018:i:9:p:1665-1669
    DOI: 10.1111/poms.12846
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    Citations

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    Cited by:

    1. Liu, Yezheng & Qian, Yang & Jiang, Yuanchun & Shang, Jennifer, 2020. "Using favorite data to analyze asymmetric competition: Machine learning models," European Journal of Operational Research, Elsevier, vol. 287(2), pages 600-615.
    2. Anna Timofeeva, 2019. "Big Data Usage in Retail Industry," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 75-82, August.
    3. Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
    4. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    5. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    6. Li, Dan & Liu, Yongmei & Hu, Junhua & Chen, Xiaohong, 2021. "Private-brand introduction and investment effect on online platform-based supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    7. Marshall Fisher & Ananth Raman, 2022. "Innovations in retail operations: Thirty years of lessons from Production and Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4452-4461, December.
    8. Patrick Brandtner & Farzaneh Darbanian & Taha Falatouri & Chibuzor Udokwu, 2021. "Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    9. Haris Krijestorac & Rajiv Garg & Prabhudev Konana, 2021. "Decisions Under the Illusion of Objectivity: Digital Embeddedness and B2B Purchasing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2232-2251, July.
    10. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    11. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
    12. Mengshi Lu & Zuo‐Jun Max Shen, 2021. "A Review of Robust Operations Management under Model Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1927-1943, June.
    13. Dekimpe, Marnik G., 2020. "Retailing and retailing research in the age of big data analytics," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 3-14.

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