Journal of Optimization and Supply Chain Management

Journal of Optimization and Supply Chain Management

Econometric Models for Decision-Making in Logistics and Transportation

Document Type : Review Paper

Authors
1 Faculty of Administrative, Economic and Accounting Sciences, Luis Amigó Catholic University, Medellín, Colombia
2 Faculty of Social Sciences, Health and Wellbeing, Luis Amigó Catholic University, Medellín, Colombia
Abstract
Objective: This systematic review aimed to identify and characterize the econometric models used for decision-making in the field of logistics and transport. The study is based on the theory of stochastic utility, which assumes that individuals act as rational decision-makers seeking to maximize benefit in their choices. The relevance of addressing this topic lies in the need to understand how current quantitative tools guide logistics planning in an increasingly complex and restrictive global environment, with the key argument being that modern modeling must capture both operational and behavioral factors.
Methods: A systematic literature review was conducted via Web of Science using "stated preferences" and "logistics" keywords. A three-stage screening filtered 1,134 initial results down to 70 records using post-2020 inclusion criteria, ultimately evaluating 25 definitive articles. 
Results: Analysis of the 25 selected articles revealed that, from 2020 onwards, there has been a marked methodological trend towards the integration of latent variables into traditional models, enabling a more accurate description and interpretation of consumers’ psychographic preferences.
Conclusion: It was precisely determined that time is the variable with the greatest influence in the models studied, establishing itself as the critical factor on which secondary variables such as logistics costs and the final price of the service directly depend. The value of this study lies in providing a clear and balanced overview of the evolution of discrete choice models over the past decade, demonstrating the shift from purely mathematical models to hybrid architectures geared towards human behavior.
Keywords
Subjects

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