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Sustainability in Logistics and Supply Chain Management
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Sustainability in Logistics and Supply Chain Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 7298

Special Issue Editors

Prof. Dr. Seong-Jong Joo

E-Mail Website
Guest Editor
Graduate School of Engineering and Management, Air Force Institute of Technology, Wright-Patterson AFB, OH, USA
Interests: purchasing/supply management; warehousing/inventory management; logistics/transportation management
Dr. Gawon Yun

E-Mail Website
Guest Editor
College of Business, Missouri State University, Springfield, MO, USA
Interests: sustainable supply chain management (SSCM); global souring/location strategy; logistics

Special Issue Information

Dear Colleagues,

Sustainability in logistics and supply chain management has gained increasing interest among scholars and practitioners because of the social and environmental impacts of businesses in pursuit of profits. The triple bottom line for the businesses that includes environmental, social, and economic dimensions is now an integral part of business operations. This requires organizations to address the triple bottom line through changes in business practices that can minimize or reduce harm and/or achieve more than the minimum requirements of the social and environmental aspects of sustainability while surviving economically.

To improve sustainability practices in organization, the role of in logistics and supply chain activities are more important than they ever were before. Many organizations strive to alter their logistics and supply chain practices, for example, by exploring ways to reduce the fuel consumption of their vehicles in distribution processes. This transition can also be achieved through the applications of innovative technologies and strategies, for example, by adopting eco-friendly vehicles, shared logistics, optimization, artificial intelligence, carbon footprint reduction, and so on. In addition, the intention and behavior of individuals in the supply chain, such as vehicle drivers, pilots, vessel operators, and machine operators, can play a significant role in promoting sustainability.

The focus of this Special Issue is to examine environmental and social sustainability in logistics and supply chain management. We are interested in various topics in sustainability, including, but not limited to, issues such as sourcing, production, transportation, distribution, military logistics, and reverse logistics. The level of analyses may be at a supply chain, firm, function, and/or individual level. This Special Issue welcomes papers that use theoretical, analytical, and empirical research methodologies.

Prof. Dr. Seong-Jong Joo
Dr. Gawon Yun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainability
  • logistics, supply chain management
  • sourcing
  • production
  • transportation
  • distribution
  • reverse logistics
  • military logistics
  • eco-friendly behaviour

Published Papers (4 papers)

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Research

20 pages, 808 KiB  
Article
Overcoming Barriers to Sustainable Supply Chain Management in Small and Medium-Sized Enterprises: A Multi-Criteria Decision-Making Approach
by Hugo Gonçalves, Vanessa S. M. Magalhães, Luís M. D. F. Ferreira and Amílcar Arantes
Sustainability 2024, 16(2), 506; https://doi.org/10.3390/su16020506 - 6 Jan 2024
Cited by 1 | Viewed by 2175
Abstract
Sustainable supply chain management (SSCM) integrates economic, social, and environmental goals within the supply chain to enhance long-term performance. It assists organizations in monitoring their performance concerning social, environmental, and economic factors to bolster sustainability. Yet, implementing SSCM poses significant challenges for most [...] Read more.
Sustainable supply chain management (SSCM) integrates economic, social, and environmental goals within the supply chain to enhance long-term performance. It assists organizations in monitoring their performance concerning social, environmental, and economic factors to bolster sustainability. Yet, implementing SSCM poses significant challenges for most organizations, particularly small and medium-sized enterprises (SMEs). This study aims to identify key barriers and strategies for overcoming them in SMEs. A thorough literature review revealed 80 barriers across nine categories: technological, economic and financial, supplier, information, market and networking, human resources, social and cultural, regulatory and institutional, and organizational barriers. Eight experts from SMEs in focus group discussions considered 55 relevant barriers and prioritized them using the best–worst method. Then, based on the top 15 barriers they deemed key, they adapted and improved 24 strategies based on the literature that, in their opinion, could support the implementation of and improve the SSCM in SMEs. The findings from this study highlight economic and financial barriers as the foremost challenges to the implementation of SSCM, mainly due to the lack of funding and capital to make changes in activities to include sustainability. The findings are valuable for SMEs seeking to implement SSCM, offering insights into potential barriers and strategies for surmounting them. Moreover, this study provides a structured approach that can be replicated to identify the most pressing barriers to overcoming and improving long-term sustainability. Full article
(This article belongs to the Special Issue Sustainability in Logistics and Supply Chain Management)
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14 pages, 1469 KiB  
Article
Research on Supply Chain Emission Reduction Decisions Considering Loss Aversion under the Influence of a Lag Effect
by Yao Xu and Licheng Sun
Sustainability 2023, 15(17), 13092; https://doi.org/10.3390/su151713092 - 30 Aug 2023
Viewed by 545
Abstract
Considering that a lag effect exists in R&D investment, investigating the impacts of manufacturers’ resulting loss-averse behavior on R&D investment in carbon emission reduction technologies is important. This paper establishes three differential game models, namely centralized decision making, decentralized decision making with the [...] Read more.
Considering that a lag effect exists in R&D investment, investigating the impacts of manufacturers’ resulting loss-averse behavior on R&D investment in carbon emission reduction technologies is important. This paper establishes three differential game models, namely centralized decision making, decentralized decision making with the manufacturers’ rational preferences, and decentralized decision making with the manufacturers’ loss-aversion preferences. The models are used to analyze the mechanism of the lag effect and loss aversion on manufacturers’ R&D investment in emission reduction, based on a two-level supply chain consisting of manufacturers and retailers. This study finds that: (1) The lag effect can encourage manufacturers to invest in the R&D of emission reduction technologies. (2) There is a threshold value for the lag time, and only when the lag time is higher than this threshold value will manufacturers display loss-averse behavior. (3) When manufacturers’ degree of loss aversion is small, loss-averse behavior has a negative effect on their investment in the R&D of emission reduction technologies, while the opposite has a positive effect. Full article
(This article belongs to the Special Issue Sustainability in Logistics and Supply Chain Management)
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18 pages, 1554 KiB  
Article
Towards Cleaner Ports: Predictive Modeling of Sulfur Dioxide Shipping Emissions in Maritime Facilities Using Machine Learning
by Carlos D. Paternina-Arboleda, Dayana Agudelo-Castañeda, Stefan Voß and Shubhendu Das
Sustainability 2023, 15(16), 12171; https://doi.org/10.3390/su151612171 - 9 Aug 2023
Cited by 4 | Viewed by 1382
Abstract
Maritime ports play a pivotal role in fostering the growth of domestic and international trade and economies. As ports continue to expand in size and capacity, the impact of their operations on air quality and climate change becomes increasingly significant. While nearby regions [...] Read more.
Maritime ports play a pivotal role in fostering the growth of domestic and international trade and economies. As ports continue to expand in size and capacity, the impact of their operations on air quality and climate change becomes increasingly significant. While nearby regions may experience economic benefits, there are significant concerns regarding the emission of atmospheric pollutants, which have adverse effects on both human health and climate change. Predictive modeling of port emissions can serve as a valuable tool in identifying areas of concern, evaluating the effectiveness of emission reduction strategies, and promoting sustainable development within ports. The primary objective of this research is to utilize machine learning frameworks to estimate the emissions of SO2 from ships during various port activities, including hoteling, maneuvering, and cruising. By employing these models, we aim to gain insights into the emission patterns and explore strategies to mitigate their impact. Through our analysis, we have identified the most effective models for estimating SO2 emissions. The AutoML TPOT framework emerges as the top-performing model, followed by Non-Linear Regression with interaction effects. On the other hand, Linear Regression exhibited the lowest performance among the models evaluated. By employing these advanced machine learning techniques, we aim to contribute to the body of knowledge surrounding port emissions and foster sustainable practices within the maritime industry. Full article
(This article belongs to the Special Issue Sustainability in Logistics and Supply Chain Management)
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25 pages, 2330 KiB  
Article
Supply Chain in the Digital Age: A Scientometric–Thematic Literature Review
by Agnieszka A. Tubis, Katarzyna Grzybowska and Bartosz Król
Sustainability 2023, 15(14), 11391; https://doi.org/10.3390/su151411391 - 22 Jul 2023
Cited by 2 | Viewed by 2563
Abstract
The digitization of logistics processes enables, among others, real-time data exchange, which is currently the driving force of the modern economy, as well as functioning supply chains. Digital transformation has been accelerated in recent years, primarily by the development of the Industry 4.0 [...] Read more.
The digitization of logistics processes enables, among others, real-time data exchange, which is currently the driving force of the modern economy, as well as functioning supply chains. Digital transformation has been accelerated in recent years, primarily by the development of the Industry 4.0 concept. It is also perceived as a trend supporting the sustainable development of organizations and industries. The main research challenge was identifying current research directions related to the digitalization of supply chains. Therefore, this article aims to present the literature review results of the last five years (2018–2022) regarding the digitalization of supply chains. The research used the PRISMA method (The Preferred Reporting Items for Systematic reviews and Meta-Analyses), and 127 articles were analyzed. On this basis, we proposed a two-level qualifications framework that includes eight core categories and sixteen subcategories. The main contributions of this work are as follows: providing a complete and up-to-date (last five years) literature review on supply chains in the digital age from a global perspective that summarizes the current state of the art in an integrated framework; and provides an indication of the two most significant challenges currently observed, which are interrelated. The first key challenge is the digital transformation of businesses and supply chains; the second is sustainable development, which focuses on the Sustainable Development Goals; reducing the complexity of the issue by providing structure and clarity (Identifying categories and subcategories as the mind map); and identifying research gaps that we will work on in the future. Based on the review, we indicate three identified research gaps: there is a lack of research assessing the use of digitalization to build supply chain resilience; there are no studies evaluating the risk of the negative impact of technologies and threats on relations integrating future supply chains; and there is a lack of research on the changing role of man in modern logistics systems. Full article
(This article belongs to the Special Issue Sustainability in Logistics and Supply Chain Management)
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