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Theorizing Supply Chains with Qualitative Big Data and Topic Modeling

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  • Pratima (Tima) Bansal
  • Jury Gualandris
  • Nahyun Kim

Abstract

The availability of Big Data has opened up opportunities to study supply chains. Whereas most scholars look to quantitative Big Data to build theoretical insights, in this paper we illustrate the value of qualitative Big Data. We begin by describing the nature and properties of qualitative Big Data. Then, we explain how one specific method, topic modeling, is particularly useful in theorizing supply chains. Topic modeling identifies co‐occurring words in qualitative Big Data, which can reveal new constructs that are difficult to see in such volume of data. Analyzing the relationships among constructs or their descriptive content can help to understand and explain how supply chains emerge, function, and adapt over time. As topic modeling has not yet been used to theorize supply chains, we illustrate the use of this method and its relevance for future research by unpacking two papers published in organizational theory journals.

Suggested Citation

  • Pratima (Tima) Bansal & Jury Gualandris & Nahyun Kim, 2020. "Theorizing Supply Chains with Qualitative Big Data and Topic Modeling," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(2), pages 7-18, April.
    • Handle: RePEc:bla:jscmgt:v:56:y:2020:i:2:p:7-18
    DOI: 10.1111/jscm.12224
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    2. David J. Ketchen & Lutz Kaufmann & Craig R. Carter, 2022. "Configurational approaches to theory development in supply chain management: Leveraging underexplored opportunities," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(3), pages 71-88, July.
    3. Joerg S. Hofstetter & Valentina Marchi & Joseph Sarkis & Kannan Govindan & Robert Klassen & Aldo R. Ometto & Katharina S. Spraul & Nancy Bocken & Weslynne S. Ashton & Sanjay Sharma & Melanie Jaeger-Er, 2021. "From Sustainable Global Value Chains to Circular Economy—Different Silos, Different Perspectives, but Many Opportunities to Build Bridges," Circular Economy and Sustainability,, Springer.
    4. 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).
    5. Barbara Flynn & Mark Pagell & Brian Fugate, 2020. "From the Editors: Introduction to the Emerging Discourse Incubator on the Topic of Emerging Approaches for Developing Supply Chain Management Theory," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(2), pages 3-6, April.

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