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The purpose of this paper is to report on research undertaken to investigate whether current reverse logistics theories and models can be totally applied in developing countries like China using the electronic industry as a case study.

A case study approach was adopted with information collected from company web sites, direct observation, and in‐depth interviews with four major consumer electronic product manufacturers in China. Findings were analyzed and compared across all the cases studied to determine the common external and internal drivers for reverse logistics implementation as well as the obstacles faced by the whole electronic industry. A comparison with the literature was made to identify the gaps between current theories and models and actual practices in China.

The findings suggest that while reverse logistics drivers vary from company to company, barriers to reverse logistics are common and are mainly external. The major difficulty in implementing reverse logistics in the electronic industry of China is the lack of enforceable laws, regulations or directives to motivate manufacturers. Furthermore, economic support and preferential tax policies are absent to help manufacturers offset the high investment costs of reverse logistics. Low public awareness of environmental protection and underdevelopment of recycling technologies are also some of the obstacles to widespread reverse logistics implementation. The findings also reveal the presence of linkages between the various external factors that are not fully explored in current reverse logistics models.

The study corroborates the application of transaction cost economics and resource‐based view theory to account for the different approaches to reverse logistics adopted by firms in developing countries. It also reveals a need for further research on the linkages between external factors affecting reverse logistics implementation. The four case studies of large corporations are drawn from a Chinese setting in which implementation of reverse logistics is still in an early stage. The complex nature of China's transitional economy and political considerations may influence the perspectives and practices of small manufacturers in the management of environmental issues thus limiting the generalizability of the findings.

The study reveals the problems encountered in the implementation of reverse logistics in China and proposes measures to expedite the development.

This paper presents a systematic analysis of the external and the internal factors affecting reverse logistics implementation in developing countries like China. It reveals the need to investigate the linkages between the various external factors that are less explored in current reverse logistic theories and models. The study also identifies the major drivers and obstacles faced by the industry, a clear understanding of which might facilitate the formulation of appropriate nation‐wide reverse logistics policy and strategy through the support of the government and the investment of the manufacturers.

This study provides new insights into antecedents and outcomes of reverse logistics practices by examining green customer salience as the driver of reverse logistics practices and examining environmental performance and green firm reputation as the outcomes of reverse logistics practices.

A research model examining the proposed relationships was developed and tested using data from beverage manufacturers in Ghana. The model was analysed using partial least squares structural equation modelling.

This study confirmed that green customer salience drives reverse logistics practices. It was also revealed that reverse logistics directly enhances environmental performance, but not green firm reputation. Additionally, the effect of reverse logistics on green firm reputation was fully mediated through environmental performance.

To the best of the authors’ knowledge, no previous studies have empirically examined the relationship between green customer salience, reverse logistics, environmental performance and green firm reputation.

The purpose of this paper is to investigate the current status of reverse logistics practices used on four sectors of Indian manufacturing industry, namely, auto, paper, food and beverage processing, and electronics.

A nationwide questionnaire-based survey has been used to assess reverse logistics practices in Indian context.

It was seen from the survey that Indian companies considered implementing reverse logistics programs in their organization as a strategic-level decision. Volume of products entering the return stream is a key driver of reverse logistics activities. One of the important observations of this research is that Indian companies have primarily adopted reverse logistics due to the economic benefits associated with them.

The results reported in this research are the bird’s eye view of reverse logistics practices in the Indian context only. The low level of questionnaire responses is also one of the limitations of this study. Numerical data related to companies could not be reported in this research as companies were reluctant in giving sensitive data.

The present research would be useful for benchmarking professionals/managers for understanding strategic, tactical and operational-level issues of reverse logistics with respect to Indian context. Also, logistics managers can evolve suitable strategies for successful implementation of reverse logistics programs.

The literature review indicates that only a few frameworks available give a holistic perspective of the current status of reverse logistics operations in an Indian context. This research is an attempt in this regard.

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.

This study aims to examine and understand the impact of reverse logistics adoption on firms' digitalization and collaboration activities. Specifically, leveraging the knowledge-based view, this study examines how adopting sustainable logistic practices (reverse logistics) prepares firms to embrace digitalization and encourages them to collaborate with other organizations.

The study used longitudinal survey data from two waves (2017 and 2019) from the Mannheim Centre for European Economic Research. The authors used the negative binomial regression analyses to test the impact of reverse logistics adoption on the digitalization and inter-organizational collaboration dependent count variables.

The study's findings highlight the usefulness of reverse logistics in enabling digitalization and inter-organizational collaboration. The results show that the firms investing in sustainable supply chains will be better positioned to nurture digitalization and inter-organizational collaboration.

For resource-bound managers, this study provides an important insight into prioritizing activities by highlighting how reverse logistics can facilitate digitalization and collaboration. The study demonstrates that the knowledge generated by reverse logistics adoption can be an essential pillar and enabler toward achieving firms' digitalization and collaboration goals.

The study is among the first to examine the effect of reverse logistics adoption on firm activities that are not strictly associated with the circular economy (digitalization and collaboration). Utilizing the knowledge-based view, this study reports on the additional benefits of reverse logistics implementation previously not discussed in the literature.

This paper aims to analyze the interaction among the major variables of reverse logistics seen in automobile industries.

In this research, interpretive structural modeling (ISM) has been used to understand mutual influences among identified variables of reverse logistics. The advantage of the ISM methodology is that variables can be categorized depending upon their driving power and dependence.

Regulations make it mandatory for automobile companies to own responsibility of products manufactured throughout their life cycle by collecting and reusing products, reducing volume of waste generated, increasing the use of recycled materials, etc. For example, End-of-Life Vehicle Directive had directed manufacturers to take back their vehicles at the end of their usefulness and responsibly dispose them. In this research, regulation has appeared at bottom of the ISM model, indicating that it has high driving power to influence other variables. Also, financial limitations are a significant inhibitor faced by the top management for implementing reverse logistics programs.

The ISM methodology relies upon expert opinions for developing contextual relation among identified variables. Thus, an expert’s knowledge, his familiarity with industry and its operations may have affected the final results of the ISM model. One of research implications of this study is that variables identified in this ISM model are quite generic, and thus, with marginal adjustments, these can be used in the context of any other supply chain for increasing its productivity and performance.

The ISM model reveals that regulations affect a significant number of enabler variables of reverse logistics like support of policy entrepreneurs, green purchasing by companies, information and communication technologies that are seen at the upper level of ISM. This indicates that regulations force companies to be proactive towards product recovery actions that lead to initiation of reverse logistics programs by them.

This research has tried to analyze the interaction among the major variables of reverse logistics typically seen in automobile industries which could be useful to logistics managers for taking strategic-level decisions.

The purpose of this paper is to investigate and analyse the perceptions of South Australian construction practitioners on drivers affecting the implementation of reverse logistics (RL). In this context, RL is defined as the process of moving goods from their typical final destination for the purpose of capturing value or ensuring proper disposal.

Semi-structured interviews were conducted with eight practitioners to collect data and the interview transcripts were analysed using the NVivo (version 10) package. Cluster analysis was used to cross-validate the findings and provide an in-depth insight into the findings.

The findings indicate that most of the drivers identified in earlier research are relevant for the construction industry. In addition, the study identified some new drivers that are categorised as “targeted demands by an exclusive clientele”. These drivers were found to be complementary to the economic, environmental and social drivers as previously conceptualised. In addition, a set of factors affecting the strength of drivers that had been overlooked in previous studies emanated from the interview analysis. These include the type of project and the attributes of clients, both of which strongly affect the drivers of RL implementation in construction.

The major limitations are the relatively small size of the sample of interviewees and having interviewees from one geographic area with specific socio-economic characteristics.

The identified drivers and the clustering of RL themes could be used by practitioners as a “road map” for the development of appropriate solutions to successfully promote RL within the construction industry. Organisational energies could thus be channelled towards the drivers that need the most improvement.

The study contributes to this research sphere by employing cluster analysis to customise and contextualise the drivers that were previously identified. The study goes beyond the extant literature by discovering the prominent effects of these drivers on the impact of targeted demands by an exclusive clientele. This could be of great value in terms of creating avenues for future investigations on the topic.

Many firms are placing greater emphasis on managing returned product. Reverse logistics programs are being used to recover assets that would otherwise be lost. Research results are presented covering reverse logistics programs in the electronics industry, specifically among firms selling through catalogs. The paper looks at how reverse logistics performance and satisfaction with reverse logistics service are influenced by industry, firm size/sales volume, and internal or external assignment of responsibility for disposition. The results are mixed. Performance is significantly impacted by sales volume, while industry effects significantly impact satisfaction. Neither performance nor satisfaction was significantly influenced by location of responsibility for disposition.

This study aims to present a methodology and a system to support the technical and managerial issues involved in anomaly detection within the reverse logistics process of an e-commerce company.

A case study approach is used to document the company’s experience, with interviews of key stakeholders and integration of obtained evidence with secondary data.

The paper presents an algorithm and a system to support a more efficient and smart management of reverse logistics based on a set of anticipatory actions, and continuous and automatic monitoring of returned goods. Improvements are described in terms of a number of key performance indicators.

The analysis and the developed system need further applications and validations in other organizational contexts. However, the research presents a roadmap and a research agenda for the reverse logistics transformation in Industry 4.0, by also providing new insights to design a multidimensional performance dashboard for reverse logistics.

The paper describes a replicable experience and provides checklists for implementing similar initiatives in the domain of reverse logistics, in the aim to increase the company’s performance along four key complementary dimensions, i.e. time savings, accuracy, completeness of data analysis and interpretation and cost efficiency.

The main novelty of the study stays in carrying out a classification of anomalies by type and product category, with related causes, and in proposing operational recommendations, including process monitoring and control indicators that can be included to design a reverse logistics performance dashboard.