Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA-CoCoSo framework

Korucuk S., Aytekin A., Ecer F., Pamucar D. S. S., Karamaşa Ç.

MANAGEMENT DECISION, vol.61, no.5, pp.1434-1462, 2023 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 61 Issue: 5
  • Publication Date: 2023
  • Doi Number: 10.1108/md-12-2021-1621
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, Periodicals Index Online, ABI/INFORM, Business Source Elite, Business Source Premier, INSPEC, MLA - Modern Language Association Database, Psycinfo, Public Affairs Index
  • Page Numbers: pp.1434-1462
  • Keywords: Green transportation, Smart network strategy, Logistics, Picture fuzzy sets, Sustainability, MCDM, GREEN LOGISTICS, TRANSPORTATION, SUSTAINABILITY, MODEL, IMPLEMENTATION, INDICATORS, CITIES, PORTS
  • Anadolu University Affiliated: Yes


Purpose Nowadays, companies have required new alternatives and strategies to handle environmental sustainability difficulties, primarily as ecological and social awareness has grown. In this context, the aim is to determine the green transportation indicators in companies with corporate identity and logistics activities at the international level in Giresun, Ordu, Gumushane, Artvin, Rize, and Trabzon in the Eastern Black Sea Region in Turkey. At the same time, the study contributes to providing an effective and applicable solution to decision-making problems involving the assessment of green transportation indicators and smart network strategies in the logistics sector, which is a critical sector for countries. The purpose of this paper is to address these issues. Design/methodology/approach This study aims to propose a model for the selection of smart network strategy and to determine the criteria weights used in green transportation indicators, and establish an ideal smart network strategy. In achieving the outlined goals of the study, the authors believe that the model proposed in the study will draw the focus to green logistics which will aid the environmental, economic and social efforts of businesses and governments through the provision of efficient use of scarce resources, which will, in turn, ensure that we leave a sustainable environment for future generations and businesses enjoy a competitive advantage. At the same time, different smart network strategies and green transportation indicators in companies show the success rate of social, economic and environmental indicators in green logistics practices. In addition to providing innovative, reliable and sustainable transportation systems, smart network strategies are critical for businesses to create cost advantages. Through the green transportation indicators and smart network strategies selection model outlined in this study, it is clear that the contribution will not only be limited to businesses, as the society and governments will also benefit from the important indicators on sustainability, as well as the protection of the environment and nature. Findings According to the findings, "economic indicators" is the essential green transportation indicator in logistics companies with a corporate identity and worldwide transportation operations. Besides, the "mixed access model strategy" is the most appropriate smart network strategy in logistics firms with corporate identity and worldwide transportation activities. Currently, it is possible to assume that logistics organizations prefer to profit from all smart network strategies in terms of cost optimization and competitiveness rather than from just one. The study, on the other hand, which is a road map that will help sustainability practices in the logistics sector due to green transportation, also examines the similarities and differences of green transportation practices in companies in the relevant sector and to what extent they can be reflected. As a result, the study provides a practical road map for selecting green transport indicators and a smart network strategy process for the logistics industry. Originality/value This study examined logistics companies with a corporate identity and international transportation activities in provinces in the Eastern Black Sea Region such as Ordu, Giresun, Trabzon, Rize, Artvin and Gumushane. Novel picture fuzzy level based weight assessment (PF-LBWA) and picture fuzzy combined compromise solution (PF-CoCoSo) methods are developed to solve the decision-making problem.