Behavioral theories in inventory management and forecasting: Driving supply chain resilience

Supply chains play an essential role in ensuring operational efficiency and economic stability, yet they face challenges such as the "bullwhip effect," which amplifies demand fluctuations. Addressing these issues requires innovative strategies that integrate behavioral theories with technological advancements. This systematic review evaluates various approaches and synthesizes them into an Integrated Theoretical Framework for Enhancing Supply Chain Performance. Following PRISMA guidelines, peer-reviewed articles published from 2010 to 2024 were analyzed, focusing on behavioral theories in supply chain management. Key findings highlight that integrating theories, such as the Theory of Planned Behavior (TPB), improves demand forecasting accuracy and reduces the bullwhip effect by emphasizing behavioral intentions and social influences. Modern technologies, including AI and IoT, enhance real-time data handling and decision-making. This framework merges psychological insights and technology to improve supply chain resilience and efficiency.

Authors

Publication Details

Journal
Journal of Supply Chain Management Science
Published
2024-12-30
DOI
https://doi.org/10.59490/jscms.2024.7758
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Behavioral theories in inventory management and forecasting: Driving supply chain resilience

Anastasia Manousiadou
1 citations
Journal of Supply Chain Management Science
Supply Chain Resilience and Risk Management
0.55
article

Behavioral theories in inventory management and forecasting: Driving supply chain resilience

Anastasia Manousiadou
article en
1 citations

Abstract

Supply chains play an essential role in ensuring operational efficiency and economic stability, yet they face challenges such as the "bullwhip effect," which amplifies demand fluctuations. Addressing these issues requires innovative strategies that integrate behavioral theories with technological advancements. This systematic review evaluates various approaches and synthesizes them into an Integrated Theoretical Framework for Enhancing Supply Chain Performance. Following PRISMA guidelines, peer-reviewed articles published from 2010 to 2024 were analyzed, focusing on behavioral theories in supply chain management. Key findings highlight that integrating theories, such as the Theory of Planned Behavior (TPB), improves demand forecasting accuracy and reduces the bullwhip effect by emphasizing behavioral intentions and social influences. Modern technologies, including AI and IoT, enhance real-time data handling and decision-making. This framework merges psychological insights and technology to improve supply chain resilience and efficiency.

Journal of Supply Chain Management ScienceVol. 5(3-4)
Openalex Percentile: Top 19%
Supply Chain Resilience and Risk Management
0.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Behavioral theories in inventory management and forecasting: Driving supply chain resilience — Anastasia Manousiadou · Journal of Supply Chain Management Science (2024) | TGRS Research Map | TGRS