Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models

Horizontal collaboration (HC) has emerged as a strategic approach to improve efficiency, sustainability, and competitive advantage while reducing CO2 emissions in supply chain operations. Despite its potential, HC implementation faces significant challenges, including trust management, strategic ali...

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Main Authors: Phi-Hung Nguyen, Lan-Anh Thi Nguyen, The-Vu Pham, Hong-Quan Le, Thu-Hoai Thi Nguyen, Tra-Giang Vu, Huong-Giang Hoang Le
Format: Article
Language:English
Published: University of New Mexico 2025-04-01
Series:Neutrosophic Sets and Systems
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Online Access:https://fs.unm.edu/NSS/19OptimizingHorizontal.pdf
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author Phi-Hung Nguyen
Lan-Anh Thi Nguyen
The-Vu Pham
Hong-Quan Le
Thu-Hoai Thi Nguyen
Tra-Giang Vu
Huong-Giang Hoang Le
author_facet Phi-Hung Nguyen
Lan-Anh Thi Nguyen
The-Vu Pham
Hong-Quan Le
Thu-Hoai Thi Nguyen
Tra-Giang Vu
Huong-Giang Hoang Le
author_sort Phi-Hung Nguyen
collection DOAJ
description Horizontal collaboration (HC) has emerged as a strategic approach to improve efficiency, sustainability, and competitive advantage while reducing CO2 emissions in supply chain operations. Despite its potential, HC implementation faces significant challenges, including trust management, strategic alignment, and decision-making complexities. This study proposes an integrated methodology that combines the Delphi technique and the DEMATEL framework, enhanced by Neutrosophic Z-number (NZN) theories, to identify and prioritize critical success factors (CSFs) influencing HC. A case study in Vietnam validates the robustness and practical applicability of the proposed model. The findings highlight economic factors—such as financial stability, data sharing, and innovation adoption—as key drivers of successful HC. Additionally, social factors, including organizational culture and conflict resolution, are found to be intricately linked to economic performance. Environmental factors emphasize the critical role of green practices and resource optimization. This research provides actionable insights for logistics companies and policymakers aiming to promote effective HC, thereby advancing logistics efficiency and sustainability in Vietnam and other developing economies. The proposed framework also offers a valuable foundation for future research and practical innovations in optimizing logistics collaboration.
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institution Kabale University
issn 2331-6055
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language English
publishDate 2025-04-01
publisher University of New Mexico
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series Neutrosophic Sets and Systems
spelling doaj-art-20813b682fc84a938c24b13a1364a7d42025-08-25T09:32:43ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-04-018130634210.5281/zenodo.14827414Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision ModelsPhi-Hung NguyenLan-Anh Thi NguyenThe-Vu PhamHong-Quan LeThu-Hoai Thi NguyenTra-Giang VuHuong-Giang Hoang LeHorizontal collaboration (HC) has emerged as a strategic approach to improve efficiency, sustainability, and competitive advantage while reducing CO2 emissions in supply chain operations. Despite its potential, HC implementation faces significant challenges, including trust management, strategic alignment, and decision-making complexities. This study proposes an integrated methodology that combines the Delphi technique and the DEMATEL framework, enhanced by Neutrosophic Z-number (NZN) theories, to identify and prioritize critical success factors (CSFs) influencing HC. A case study in Vietnam validates the robustness and practical applicability of the proposed model. The findings highlight economic factors—such as financial stability, data sharing, and innovation adoption—as key drivers of successful HC. Additionally, social factors, including organizational culture and conflict resolution, are found to be intricately linked to economic performance. Environmental factors emphasize the critical role of green practices and resource optimization. This research provides actionable insights for logistics companies and policymakers aiming to promote effective HC, thereby advancing logistics efficiency and sustainability in Vietnam and other developing economies. The proposed framework also offers a valuable foundation for future research and practical innovations in optimizing logistics collaboration. https://fs.unm.edu/NSS/19OptimizingHorizontal.pdfneutrosophic setsz-numbermcdmdelphidematelsustainable horizontal collaborationlogisticsvietnam
spellingShingle Phi-Hung Nguyen
Lan-Anh Thi Nguyen
The-Vu Pham
Hong-Quan Le
Thu-Hoai Thi Nguyen
Tra-Giang Vu
Huong-Giang Hoang Le
Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models
Neutrosophic Sets and Systems
neutrosophic sets
z-number
mcdm
delphi
dematel
sustainable horizontal collaboration
logistics
vietnam
title Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models
title_full Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models
title_fullStr Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models
title_full_unstemmed Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models
title_short Optimizing Horizontal Collaboration in Logistics with Neutrosophic Z-Number Decision Models
title_sort optimizing horizontal collaboration in logistics with neutrosophic z number decision models
topic neutrosophic sets
z-number
mcdm
delphi
dematel
sustainable horizontal collaboration
logistics
vietnam
url https://fs.unm.edu/NSS/19OptimizingHorizontal.pdf
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