The Bullwhip Effect and Ripple Effect with Respect to Supply Chain Resilience: Challenges and Opportunities

Fabricio Moreno-Baca (), Patricia Cano-Olivos, Diana Sánchez-Partida and José-Luis Martínez-Flores
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Fabricio Moreno-Baca: Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
Patricia Cano-Olivos: Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
Diana Sánchez-Partida: Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
José-Luis Martínez-Flores: Facultad de Ingeniería, Logística, Manufactura y Automotriz (FILMA), Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico

Logistics, 2025, vol. 9, issue 2, 1-34

Abstract: Background : The Bullwhip and Ripple effects are systemic phenomena that disrupt supply chain performance. However, research often neglects their connection to resilience. This article presents a hybrid literature review examining how both effects are addressed about supply chain resilience, focusing on methodological and conceptual trends. Methods : The review combines thematic analysis of studies from Web of Science and ScienceDirect (2000–2023) with bibliometric trend modeling using Long Short-Term Memory neural networks to detect nonlinear patterns and disciplinary dynamics. Results : While 64.7% of the reviewed works explicitly link the Bullwhip Effect or Ripple Effect to resilience, only 11.7% of those focused on the Bullwhip Effect offer models with clear practical use. A structural break in 2019 marks a notable rise in research connecting these effects to resilience. Nonlinear modeling dominates (88.23%) through network theory and system dynamics. Social, Engineering and Business Sciences drive Bullwhip-related studies, while Economics, Computer Science, and Social Sciences lead Ripple-related research. Business, Energy, and Social Sciences strongly influence the integration of the Ripple Effect into supply chains. A modeling typology is proposed, and neural network techniques uncover key bibliometric patterns. Conclusions : The review highlights limited practical application and calls for more adaptive, integrative research approaches.

Keywords: bullwhip effect; ripple effect; supply chain resilience; hybrid literature review; neural network (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:9:y:2025:i:2:p:62-:d:1660375

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