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This study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content analyses that provide a viewpoint on categorization and a future research agenda. This paper provides insight into current research trends in the subjects of interest by examining the most essential and most referenced articles promoting sustainability and climate-neutral logistics.

For the literature review, the authors extracted and sifted 2180 research and review papers for the period 2008–2023 from the Scopus database. The authors performed bibliometric and content analyses using multiple software programs such as Gephi, VOSviewer and R programming.

The SGLR papers can be grouped into seven clusters: (1) The circular economy facets; (2) Decarbonization of operations to nurture a climate-neutral business; (3) Green sustainable supply chain management; (4) Drivers and barriers of reverse logistics and the circular economy; (5) Business models for sustainable logistics and the circular economy; (6) Transportation problems in sustainable green logistics and (7) Digitalization of logistics and supply chain management.

In this review, fundamental ideas are established, research gaps are identified and multiple future research subjects are proposed. These propositions are categorized into three main research streams, i.e. (1) Digitalization of SGLR, (2) Enhancing scopes, sectors and industries in the context of SGLR and (3) Developing more efficient and effective climate-neutral and climate change-related solutions and promoting more environmental-related and sustainability research concerning SGLR. In addition, two conceptual models concerning SGLR and climate-neutral strategies are developed and presented for managers and practitioners to consider when adopting green and sustainability principles in supply chains. This review also highlights the need for academics to go beyond frameworks and build new techniques and instruments for monitoring SGLR performance in the real world.

This study provides an overview of the evolution of SGLR; it also clarifies concepts, environmental concerns and climate change practices, particularly those directed to supply chain management.

Green human resource management (GHRM) and sustainable green logistics (SGLOG) are some of the mechanisms by which sustainable corporate environmental management could be consummated. However, prior studies linking GHRM and green logistics are lacking in the literature. This paper extends prior efforts by developing a model linking GHRM and SGLOG.

An integrative review of extant literature on green human resource management and sustainable green logistics was conducted, and an integrative model developed.

Improving environmental performance is a key way that businesses can improve their corporate social responsibility and brand image. The resulting model includes expanded components of GHRM (training, development, compensation, awards and recognition, recruitment, and performance management) and of SGLOG (transportation and shipping, warehousing, packaging, and reverse logistics). Categories of shipping and transportation include the following facets: transportation intensity, modal split, emissions intensity, energy efficiency, and vehicle utilization efficiency. The model also highlights the mediating role of management and employee attitudes, knowledge, and skills in the GHRM-SGLOG link, as well as their interaction.

Green human resource management is associated with sustainable green logistics. This association is theoretically mediated by management and employee attitudes, knowledge, and skills. Top management support and influence of other stakeholders are key facilitators.

The paper suggests potential barriers to GHRM and SGLOG adoption/diffusion and panaceas. It also proposes some key drivers of sustainable green logistics and corporate environmental management.

Firms must carry out their operations in ways that do not compromise societal and environmental well-being. High economic performance alone no longer suffice. A balanced performance that also emphasizes social and environmental well-being (the triple bottom line, 3BL) can be achieve through the implementation of the proposed model.

The integrative model presented in the paper advances the current understanding of the link between GHRM and SGLOG. The paper adds additional value by unveiling some key future research directions.

The purpose of this paper is to analyze the keywords used in peer-reviewed literature on green supply chain management.

To determine the keywords that were used in this area, an analysis of 629 papers was conducted. The papers were identified through searches of 13 keywords on green supply chains. Trends in keyword usage were analyzed in detail focusing on examining variables such as the most frequently used journals/keywords, their frequencies, citation frequency and research contribution from different disciplines/countries.

A number of different terms have been used for research focused on the environmental impacts of supply chains, including green supply chains, sustainable supply chains, reverse logistics and closed-loop supply chains, among others. The analysis revealed that the intensity of research in this area has more than tripled in the past six years and that the most used keyword was “reverse logistics”. The use of the terms “green supply chains” and “sustainable supply chains” is increasing, and the use of “reverse logistics” is decreasing.

The analysis is limited to 629 papers from the Scopus database during the period of 2007 and 2012.

The paper presents the first systematic analysis of keywords used in the literature on green supply chains. Given the broad array of terms used to refer to research in this area, this is a needed contribution. This work will help researchers in choosing keywords with high frequency and targeting journals for publishing their future work. The paper may also provide a basis for further work on developing consolidated definitions of terms focused on green supply chain management.

This study aims to illustrate how retail chains with a green image align sustainable logistics actions, logistics measurements and contracts with logistics service providers (LSPs), and to develop a classification model that allows for a description of the various shades of green within companies.

We carried out a multiple case study of four retail chains with a green image operating in the Swedish market, collecting empirical data from the retail chains’ sustainability reports and home pages and conducting interviews with logistics, transportation and supply chain managers.

Based on the literature, we developed a classification model for judging green image, green logistics actions, green measurements and green contracts. The model is used to illustrate the different shades of green found within the respective retail chains. A green image seems well-aligned with green logistics actions. However, there are more levels to judge, and the measurement systems are not sufficiently developed to track green logistics actions. Contract handling is more developed among retail chains than measurements, which is positive, as this is a way of ensuring that LSPs are involved. In our classification model, greenwashing can be judged in a more nuanced way, delving deeper under the surface.

The provided classification model adds to our knowledge and illustrates the alignment within companies’ sustainable logistics. The robustness of the model can be strengthened by applying it to a larger number of cases and by continually validating its content and evaluation criteria.

The study’s main practical contribution is the classification model, which may potentially serve as a method for managers to easily judge the green alignment of a retail chain’s logistics.

Few empirical studies capture how retail chains measure environmental logistics performance, and even fewer concern contracts stipulating the environmental demands placed on LSPs.

Globalization has led worldwide organizations to balance their economic and environmental performances in order to achieve a concrete sustainable development. In an environmental centered world, logistics is called to put into action advanced programs based on technological and organizational improvement, in order to gain or maintain a concrete competitive advantage. The purpose of this paper is to investigate how logistics organizations try to face the recent ecological challenges and the role that the emergent green technologies play in making them finally “green” and competitive.

Green supply chain management (GSCM) practices have been investigated to better understand their influence on economic performance and corporate competitiveness. After providing a background discussion on Green Logistics and GSCM, the authors have also identified specific research questions that are worthy of investigation, also thorough the DHL case study. The case study analysis has been conducted according to a specific conceptual model (Rao and Holt, 2005), which allows a deeper understanding of literature review results.

The present paper offers some insights on innovation influence on supply chain management (SCM) greenness, a process oriented to a sustainable and environmental-friendly approach to management of supply chain. According to DHL case study evidence, in logistics innovation, often based on emerging green technologies, is strictly related to the development of a much more sustainable and environment-friendly approach to SCM, based on reduction of core activities’ ecological impact, cost saving, quality, reliability, performance and energy efficiency. In this context, the respect of environmental regulations is fundamental to achieve not only a reduction of ecological damage, but also to overall economic profit.

There is a concrete need of further research to better understand the potential link between GSCM, green innovation and logistic organizations competitiveness. In fact, this research area still represents a source of interesting challenges for practitioners, academicians and researchers. Concluding, the research findings cannot be generalized to all logistic organizations, even if DHL is on of the most important and globalized logistic companies. Future researches should empirically test the achieved results also through comparative studies based on a large sample.

The suggestion of literature review and the result of case study analysis represent a first attempt to better understand the real and potential influence of GSCM on corporate image and competitiveness. In fact, the present investigation has pointed out that logistic organization can achieve environmental goals and acquire a better positioning than their competitors also cooperating with stakeholders. Therefore, it is necessary that organizations contribute to make them able to participate in corporate activities and develop a concrete environmental-friendly orientation, based on the respect of market’s requests and environmental regulations in order to get their corporate reputation strong than ever.

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, Gümüshane, 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.

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.

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.

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 Gümüshane. 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.

The purpose of this study is to identify sustainability practices and to propose a framework for evaluating the sustainability index of logistics service providers (LSPs).

Sustainable practices followed by LSPs are identified through literature review and analysis of a case study. Thirteen such sustainable practices are identified. Thereafter, with expert inputs, nine sustainable practices are shortlisted and considered for the evaluation of the sustainability index in the proposed framework. Graph Theory Matrix Approach has been applied to evaluate the sustainability index of an LSP.

Major practices identified for evaluating sustainability index include the use of recyclable packaging, use of renewable energy sources, green procurement, reduction in carbon emissions, use of CNG/electric vehicles, rainwater harvesting and so on. The sustainability index of an LSP is evaluated by using the proposed framework.

LSPs can benchmark their sustainability index with respect to the best in the industry. Based on it, LSPs can also identify potential areas for improvement.

Novelty of the study lies in the proposed framework for evaluation of sustainability index which can be used to develop strategies for green logistics. LSPs can also improve their performance in terms of sustainability measures by adopting green logistics.

Increasing academic communities and practitioners begin to explore a novel method to reduce environmental pollution and realize green logistics delivery. Additionally, China's Statistical Yearbook shows that the number of private cars has reached 165 million in China. Under this background, this study proposes a green delivery method by the combination of sharing vehicle (private cars) and IoT (Internet of things) from the perspective of vehicle energy efficiency and aims to improve the energy efficiency of social vehicles and provides more convenient delivery services.

This study builds an IoT architecture consisting of customer data layer, information collection layer, cloud optimization layer and delivery task execution layer. Especially in the IoT architecture, a clustering analysis method is used to determine the critical value of customers' classification and shared delivery, a routing optimization method is used to solve the initial solution in could layer and shared technology is used in the implementation of shared delivery.

The results show that the delivery method considering shared vehicles has a positive effect on improving the energy utilization of vehicles. But if all of delivery tasks are performed by the shared vehicle, the application effect may be counterproductive, such as delivery cost increases and energy efficiency decreases. This study provides a good reference for the implementation of green intelligent delivery business, which has a positive effect on the improvement of logistics operation efficiency.

This study designs a novel method to solve the green and shared delivery issues under the IoT environment, which integrates the IoT architecture. The proposed methodology is applied in a real case in China.

The purpose of this article is to explore themes and challenges in making supply chains environmentally sustainable.

The study began with a systematic review, and content analysis of articles in top‐ranking related journals from logistics, transport, sustainability and environmental areas, and ended with research propositions contributing to the further advancement of supply chain management.

The findings illustrate the major themes published in 18 journals concentrating on sustainable supply chains with special focus on environmental issues. From the systematic review five major areas of challenges for supply chain management are derived: costs, complexity, operationalisation, mindset and cultural changes, and uncertainties. From all of these areas synthesising discussions are provided and research propositions suggested. It is concluded that there is a great need for models and frameworks that consider the complexity involved, take holistic perspectives, and challenge the basic assumptions underlying most of the research published (i.e. reductionism, positivism and economic growth).

Sustainability in this article is mainly related to environmental issues. Analysis of complex interactions between environmental, social and economic aspects might provide opportunities for future research.

The results presented in this paper provide a systematic structure for classifying issues related to logistics sustainability; something which will be beneficial for managers and policy‐makers when they approach sustainable supply chain management challenges.

This paper provides propositions for research based on the emergent outcome of challenges that can guide research, industry and policy‐makers in future sustainability efforts.

Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects.

A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer.

The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing.

To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.