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The feasibility and desirability of reverse logistics in market-motivated contexts are examined in China. Interactions between the major barriers, that hinder or prevent the application of reverse logistics in China are analyzed. Management’s key task is to diagnose barriers to the application of reverse logistics that could be crucial to the organization’s future survival. Simultaneity, a value delivery system exists to create value for customers and environments by supplying needed products and services. Value delivery systems are at the heart of every firm and, more than anything else, determine that, whether the firm survives in the marketplace or disappears into bankruptcy or takeover. The processes and model of market-motivated reverse logistics value delivery system are discussed, and the processes content and model are presented. Simultaneity, based on the advantage of the Third Party Reverse Logistics Providers (3PRLs) and Outsourced Service Providers, an integrated evaluation model is built to select 3PRLs by using the integrated decision-making methods. Reflecting the comprehensive information requirement, the Analytic Hierarchy Process and entropy approaches are applied to calculate the objective weights. A new kind of relative similarity degree is established by combining the Euclidean distance with the grey correlation degree. An example demonstrates the model’s efficiency.

There is significant potential for adding value by involving customer in the design process and delivery of logistic services. In order to add value to the overall logistic system, the purpose of this paper is to apply an integrated systems approach for the design of forward and reverse logistics services in order to build a self-organising service that can maximise efficiencies and in particular reduce reverse logistics costs.

Two exploratory case studies were conducted in the logistics systems of housing repair and maintenance sector in the UK. Data were collected using semi-structured interviews, observations, and documented evidence.

The findings of the cross-case analysis suggests that systems approach expressed as the Vanguard Method (Seddon, 2008) has a direct impact on enhancing forward logistics performance and reducing reverse product flows by nourishing three dimensions for learning from demand-driven analysis; capturing customer clean information, demand predictability and categorisation, and failure demand analysis.

Findings from exploratory case studies cannot be easily generalised. Hence, further case studies are needed to enrich the findings, and to facilitate their industrial applications. Further, the paper explores the utilisation of the Vanguard Method only in the area of housing repairs and maintenance logistics services. It would be valuable for future studies to further investigate the utilisation of the Vanguard Method in other logistics services settings.

The paper demonstrates an important dynamics of how logistics services can incorporate customer demands into the logistics design process.

The current study demonstrates the value of utilizing qualitative research methods to analyze logistics problems. Specifically, the study utilizes a qualitative methodology to examine the feasibility of designing a reverse logistics system to recycle and/or refurbish end‐of‐life computers that are deemed no longer useful by their owners. The qualitative methodology is a modified version of a customer visit program in which the in‐depth interviews were used to identify the special needs of stakeholders who could potentially participate in the proposed system. The qualitative interviews were structured and implemented using a standardized approach set forth in the literature. The results indicate that this qualitative technique proved valuable in obtaining industry‐sensitive stakeholder data, which allowed the researchers to more thoroughly analyze the feasibility of the proposed reverse logistics system.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

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.

It is not surprising that proper implementation of reverse logistics systems can result in better customer loyalty and reduction in operational costs due to reuse or remanufacturing of some parts. This is particularly important for those industries with a short product life cycle, like the mobile phone industry. The major objective of this paper is to present the results of a pilot survey with follow‐up interviews, which was conducted for investigating the practices of reverse logistics in this industry.

A questionnaire survey was sent to the industrial participants, and follow‐up interviews were conducted with the respondents.

On the one hand, reverse logistics systems are important to the industry; on the other hand, the low level of importance of reverse logistics relative to the other issues is still a major barrier in realizing reverse logistics systems.

It is not clear what the critical factors are in designing reverse logistics systems for the mobile phone industry. Based on the results, it is interesting to learn how to reach a compromise in dealing with this dilemma.

This paper aims to examine the financial outcome of reverse logistics among firms in a developing country. The authors draw on the organizational information processing theory to propose that analytics capability moderates the relationship between reverse logistics and financial performance.

The authors collected firm-level survey data from 200 manufacturing firms in Ghana, a developing country in sub-Saharan Africa. Partial least squares structural equations modeling is used to examine the proposed relationships, and the moderating effects are further probed using Hayes PROCESS.

The empirical results show that reverse logistics is negatively related to financial performance. However, analytics capability attenuates this negative relationship, such that firms with high analytics capability obtain a positive relationship between reverse logistics and financial performance.

Firms in developing countries should combine their reverse logistics strategies with developing analytics capabilities that help minimize uncertainties and increase the efficient collection and use of information to reduce the cost of reverse logistics.

This paper examines how reverse logistics relates to financial performance in low-resource contexts. Beyond the novelty of the context, it explores the information processing needs of reverse logistics systems and provides empirical data to support analytics capability. This has yet to be considered in prior studies.

Overconsumption of resources has become a global issue. To deal with resource depletion and mitigate these impending crises, the circular economy (CE) holds some promise. A wide range of performance measurements for CE have emerged over the years. However, with increasing complexity of supply chains, appropriate and potentially new performance measurements are needed for effective CE management. Blockchain is an innovative technology that may advance CE development. This chapter provides an overview of the potential linkages between blockchain technology and CE from sustainability perspectives – the specific focus will be on the performance measurement of reverse logistics activities. One of the main findings indicates that both blockchain and CE performance measurements – especially reverse logistics processes – are still evolving in both theory and practical developments. Future directions with a critical analysis including research and theoretical applications will conclude this chapter.

To provide practitioners of knowledge management with a sense of the importance of reverse logistics as an important part of today's company policies, especially throughout the product life cycle, with the accompanying technology that supports it and the effects on customer relation management (CRM) and satisfaction.

A review of the applied literature of reverse logistics and its effects on CRM resulted in a basic model and empirical verification of such effects.

As shown from the empirical section of the present study (n=102), the ease of locating returns procedures and the rating given by respondents to the overall returns process were found to be statistically very significant regarding whether the ease of returning items had an influence on purchasing decisions for most respondents. As demonstrated in the results of stepwise regression analysis of the two independent variables, the largest share of explained variance was explained by the variable, Returns' Procedures.

The purpose of reverse logistics is to accommodate customers wanting to return items and how to account for such accommodations. The breakdown, process, and analysis of reverse logistics will portray the significance of having reverse logistics implemented within a marketing or strategic plan.

This paper describes reverse logistics and CRM within a knowledge‐based system and its implementation process in an academic manner. Hence, there should be a process in place and managers should work to master reserve logistical processes to promote the principles of CRM properly. To remain competitive, firms must develop reverse logistics systems that rival traditional systems in terms of efficiency, cost‐effectiveness, competitiveness, and customer satisfaction.

Many companies and small businesses do not think about the importance and impact of reverse logistics and therefore do not include reverse logistics in their strategic or marketing plan. There are several important aspects of reverse logistics that need to be utilized in every company that exploit and track return policies.