Supply Chain Disruptions and Retail & Wholesale Inventory Dynamics: An Empirical Investigation.

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Title: Supply Chain Disruptions and Retail & Wholesale Inventory Dynamics: An Empirical Investigation.
Authors: Marzolf, Micah J.1 (AUTHOR) mmarzolf@iastate.edu, Miller, Jason W.2 (AUTHOR), Peinkofer, Simone T.2 (AUTHOR)
Source: Transportation Journal (Wiley-Blackwell). Apr2026, Vol. 65 Issue 2, p1-21. 21p.
Subject Terms: Supply chain disruptions, Inventory control, Organizational sociology, Distributors (Commerce), Logistics, Multilevel models
Abstract: Effective inventory management is critical for retail and wholesale (R&W) firms. Yet, little is understood regarding R&W firm‐level inventory dynamics during supply chain disruptions. Such dynamics have implications for transportation providers tasked with hauling these goods. This research integrates the shock response framework with organizational theories regarding firms' motivations to reduce uncertainty to explore how macro‐level supply chain disruptions affect the level and conditional variance of R&W inventories. We assemble a panel dataset combining firm‐level data from public R&W firms with Census Bureau data on logistics constraints and estimate mixed effect location scale models. Results corroborate our theoretical predictions. [ABSTRACT FROM AUTHOR]
Copyright of Transportation Journal (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Supply Chain Disruptions and Retail & Wholesale Inventory Dynamics: An Empirical Investigation.
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  Data: <searchLink fieldCode="AR" term="%22Marzolf%2C+Micah+J%2E%22">Marzolf, Micah J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mmarzolf@iastate.edu</i><br /><searchLink fieldCode="AR" term="%22Miller%2C+Jason+W%2E%22">Miller, Jason W.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peinkofer%2C+Simone+T%2E%22">Peinkofer, Simone T.</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Transportation+Journal+%28Wiley-Blackwell%29%22">Transportation Journal (Wiley-Blackwell)</searchLink>. Apr2026, Vol. 65 Issue 2, p1-21. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Supply+chain+disruptions%22">Supply chain disruptions</searchLink><br /><searchLink fieldCode="DE" term="%22Inventory+control%22">Inventory control</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+sociology%22">Organizational sociology</searchLink><br /><searchLink fieldCode="DE" term="%22Distributors+%28Commerce%29%22">Distributors (Commerce)</searchLink><br /><searchLink fieldCode="DE" term="%22Logistics%22">Logistics</searchLink><br /><searchLink fieldCode="DE" term="%22Multilevel+models%22">Multilevel models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Effective inventory management is critical for retail and wholesale (R&W) firms. Yet, little is understood regarding R&W firm‐level inventory dynamics during supply chain disruptions. Such dynamics have implications for transportation providers tasked with hauling these goods. This research integrates the shock response framework with organizational theories regarding firms' motivations to reduce uncertainty to explore how macro‐level supply chain disruptions affect the level and conditional variance of R&W inventories. We assemble a panel dataset combining firm‐level data from public R&W firms with Census Bureau data on logistics constraints and estimate mixed effect location scale models. Results corroborate our theoretical predictions. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Transportation Journal (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/tjo3.70022
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        Text: English
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        PageCount: 21
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      – SubjectFull: Supply chain disruptions
        Type: general
      – SubjectFull: Inventory control
        Type: general
      – SubjectFull: Organizational sociology
        Type: general
      – SubjectFull: Distributors (Commerce)
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      – SubjectFull: Logistics
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      – SubjectFull: Multilevel models
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              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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