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April 3, 2026Journal of Business Logistics0 citationsOpen Access

Elaborating Theory of Swift Even Flow in E‐Fulfillment Operations

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NMNicolò MasorgoTHThu Trang HoangDDDavid D. Dobrzykowski

Key Points

  • The aim is to explore how behaviors in order processing and delivery impact e-fulfillment performance using the Theory of Swift Even Flow.
  • Analyzed a dataset of 11,241 orders from a major Vietnamese retailer.
  • Applied econometric methods to assess relationships between order processing and delivery.
  • Incorporated insights from practitioner interviews to inform analyses.
  • Identified a concave relationship between order processing time (OPT) ratio and order lateness.
  • Found that late orders typically have OPT ratios over 25% of planned lead time and increased OPT variance.
  • Discovered a U-shaped relationship between OPT ratio and order delivery time, where expedited deliveries improve performance up to an OPT threshold of 58%.

Abstract

ABSTRACT Retailers struggle with late deliveries, thus motivating research to improve e‐fulfillment performance. Studies have primarily investigated order processing and delivery individually but have ignored the interplay between these two e‐fulfillment activities. The Theory of Swift and Even Flow (TSEF) provides a useful frame for examining the e‐fulfillment process, yet it neglects important behavioral factors. We elaborate the TSEF using logic from the Queue‐Length Visibility and Misperception of Feedback Dynamics perspectives to unveil how behaviors in order processing and delivery contribute to delivery performance. We analyze 11,241 orders from a major Vietnamese retailer using econometric methods informed by practitioner interviews. We find a concave relationship between order processing time (OPT) ratio (defined as the proportion of planned lead time consumed by order processing) and lateness. Late orders have OPT ratios exceeding 25% of the planned lead time, and they exhibit higher OPT variance. We also find a U‐shaped relationship between OPT ratio and order delivery time (ODT); expediting deliveries mitigates delays until OPT ratios reach a threshold of 58%. Finally, we argue that workers and managers prioritize the processing of focused orders. Understanding behaviors in the e‐fulfillment process offers insights that extend the TSEF, new research areas, and managerial implications.

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Cite This Study

Masorgo et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e115a333a821460c3efhttps://doi.org/10.1111/jbl.70063
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