IDEAS home Printed from https://ideas.repec.org/a/bla/jscmgt/v56y2020i2p3-6.html
   My bibliography  Save this article

From the Editors: Introduction to the Emerging Discourse Incubator on the Topic of Emerging Approaches for Developing Supply Chain Management Theory

Author

Listed:
  • Barbara Flynn
  • Mark Pagell
  • Brian Fugate

Abstract

The Journal of Supply Chain Management’s 2020 Emerging Discourse Incubator hopes to stimulate the development of supply chain specific theory. Well‐executed case‐based research will always be an appropriate means for developing supply chain theory. However, this EDI seeks to highlight emerging approaches to theory building that provide alternatives to case‐based research or can be used as a source of triangulation with it. To start that discourse, this issue offers three emergent approaches. In “Theorizing Supply Chains with Qualitative Big Data and Topic Modeling,” Tima Bansal, Jury Gualandris, and Nahyun Kim explore the application of topic modeling to develop supply chain theory from qualitative textual big data evidence. Anne Touboulic, Lucy McCarthy, and Lee Matthews illustrate the use of critical engaged research to develop supply chain theory in “Re‐Imagining Supply Chain Challenges Through Critical Engaged Research.” In “A New Methodology for Supply Chain Management: Discourse Analysis and its Potential for Theoretical Advancement,” Cynthia Hardy, Vikram Bhakoo, and Steve Maguire describe the potential for discourse analysis for developing supply chain management theory. These are but a few examples of potential approaches to developing supply chain theory. We welcome submissions on additional approaches and sources of data that are used in other disciplines, but have yet to be applied in the context of developing supply chain theory, and submissions on approaches that are emergent in the social sciences, in general. JSCM welcomes submissions for this EDI through the end of 2020.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jscmgt:v:56:y:2020:i:2:p:3-6
    DOI: 10.1111/jscm.12227
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jscm.12227
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jscm.12227?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Anne Touboulic & Lucy McCarthy & Lee Matthews, 2020. "Re‐imagining supply chain challenges through critical engaged research," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(2), pages 36-51, April.
    3. Craig R. Carter & Dale S. Rogers & Thomas Y. Choi, 2015. "Toward the Theory of the Supply Chain," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(2), pages 89-97, April.
    4. Cynthia Hardy & Vikram Bhakoo & Steve Maguire, 2020. "A New Methodology for Supply Chain Management: Discourse Analysis and its Potential for Theoretical Advancement," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(2), pages 19-35, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kim Sundtoft Hald & Martin Spring, 2023. "Actor–network theory: A novel approach to supply chain management theory development," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(2), pages 87-105, April.
    2. Canan Kocabasoglu‐Hillmer & Sinéad Roden & Evelyne Vanpoucke & Byung‐Gak Son & Marianne W. Lewis, 2023. "Radical innovations as supply chain disruptions? A paradox between change and stability," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(3), pages 3-19, July.
    3. 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.
    4. Victoria Stephens & Lee Matthews & Joep P. Cornelissen & Hefin Rowlands, 2022. "Building Novel Supply Chain Theory Using “Metaphorical Imagination”," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 124-139, January.
    5. Jon Bokrantz & Jan Dul, 2023. "Building and testing necessity theories in supply chain management," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 48-65, January.
    6. Lutz Kaufmann & Moritz Schreiner & Felix Reimann, 2023. "Narratives in supplier negotiations—The interplay of narrative design elements, structural power, and outcomes," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 66-94, January.
    7. David E. Cantor & Tingting Yan & Mark Pagell & Wendy L. Tate, 2022. "From the editors: Introduction to the emerging discourse incubator on the topic of leveraging multiple types of resources within the supply network for competitive advantage," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(2), pages 3-7, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andreas Wieland, 2021. "Dancing the Supply Chain: Toward Transformative Supply Chain Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 58-73, January.
    2. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    3. Victoria Stephens & Lee Matthews & Joep P. Cornelissen & Hefin Rowlands, 2022. "Building Novel Supply Chain Theory Using “Metaphorical Imagination”," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 124-139, January.
    4. Kim Sundtoft Hald & Martin Spring, 2023. "Actor–network theory: A novel approach to supply chain management theory development," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(2), pages 87-105, April.
    5. Davis-Sramek, Beth & Robinson, Jessica L. & Darby, Jessica L. & Thomas, Rodney W., 2020. "Exploring the differential roles of environmental and social sustainability in carrier selection decisions," International Journal of Production Economics, Elsevier, vol. 227(C).
    6. Mohammad Nabipour & M. Ali Ülkü, 2021. "On Deploying Blockchain Technologies in Supply Chain Strategies and the COVID-19 Pandemic: A Systematic Literature Review and Research Outlook," Sustainability, MDPI, vol. 13(19), pages 1-32, September.
    7. 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.
    8. Peter Hasle & Jan Vang, 2021. "Designing Better Interventions: Insights from Research on Decent Work," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(2), pages 58-70, April.
    9. Osama Meqdadi & Thomas E Johnsen & Mark Pagell, 2020. "Relationship configurations for procuring from social enterprises," Post-Print hal-02958992, HAL.
    10. Phares, Jonathan & Dobrzykowski, David D. & Prohofsky, Jodi, 2021. "How policy is shaping the macro healthcare delivery supply chain: The emergence of a new tier of retail medical clinics," Business Horizons, Elsevier, vol. 64(3), pages 333-345.
    11. Suriyan Jomthanachai & Wai Peng Wong & Khai Wah Khaw, 2024. "An Application of Machine Learning to Logistics Performance Prediction: An Economics Attribute-Based of Collective Instance," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 741-792, February.
    12. Christian Hendriksen, 2023. "Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(3), pages 65-76, July.
    13. Winkler, Lorenz & Kilic, Onur A. & Veldman, Jasper, 2022. "Collaboration in the offshore wind farm decommissioning supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    14. Anne M. Quarshie & Rudolf Leuschner, 2020. "Interorganizational Interaction in Disaster Response Networks: A Government Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(3), pages 3-25, July.
    15. Thierry Sauvage & Tony Cragg & Sarrah Chraibi & Oussama El Khalil Houssaini, 2018. "Running the Machine Faster: Acceleration, Humans and Warehousing," Post-Print hal-02905068, HAL.
    16. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    17. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    18. Matthijs Bal & Andy Brookes, 2022. "How Sustainable Is Human Resource Management Really? An Argument for Radical Sustainability," Sustainability, MDPI, vol. 14(7), pages 1-14, April.
    19. Stefan Gold & Thomas Chesney & Tim Gruchmann & Alexander Trautrims, 2020. "Diffusion of labor standards through supplier–subcontractor networks: An agent‐based model," Journal of Industrial Ecology, Yale University, vol. 24(6), pages 1274-1286, December.
    20. Kao, Ta-Wei (Daniel) & Simpson, N.C. & Shao, Benjamin B.M. & Lin, Winston T., 2017. "Relating supply network structure to productive efficiency: A multi-stage empirical investigation," European Journal of Operational Research, Elsevier, vol. 259(2), pages 469-485.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jscmgt:v:56:y:2020:i:2:p:3-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1523-2409 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.