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August 26, 2025SustainabilityOpen Access

Multi-Criteria Evaluation of Transportation Management System (TMS) Software: A Bayesian Best–Worst and TOPSIS Approach

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Authors

CKCengiz Kerem KütahyaAustralian University, Kuwait BDBükra Doğaner DumanFatih University GAGültekin AltuntaşFatih University

Discussion

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Implication

Analysis of TMS software selection criteria in logistics reveals functionality and cost as key decision factors, indicating a strategic approach to digital transformation.

Key Points

Functionality and cost dominate TMS software decision factors, particularly load tracking and software license costs.
Results indicate that load tracking accounts for 35.8% of decision importance, while cost factors contribute 22.7%.
The study utilizes a hybrid of Bayesian Best–Worst Method and TOPSIS for comprehensive TMS software evaluation.
This framework supports alignment of digital infrastructure with sustainability goals, enhancing logistical efficiency.

Cite This Study

Kütahya et al. (2025) studied this question.

synapsesocial.com/papers/68af620aad7bf08b1eae320f https://doi.org/10.3390/su17177691

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Implication

Analysis of TMS software selection criteria in logistics reveals functionality and cost as key decision factors, indicating a strategic approach to digital transformation.

Multi-Criteria Evaluation of Transportation Management System (TMS) Software: A Bayesian Best–Worst and TOPSIS Approach

Discussion

Member takes

Implication

Key Points

Cite This Study

Multi-Criteria Evaluation of Transportation Management System (TMS) Software: A Bayesian Best–Worst and TOPSIS Approach

Discussion

Member takes

Implication

Key Points

Cite This Study

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