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Product returns management (PRM) is a core supply chain management process. Though the importance of value creation and appropriation is acknowledged, extant studies on value in product returns tend to be limited to the residual asset value (cost recovery) of the returned products. Further, value discussion in PRM is limited to the value implications for a single party in the returns transaction rather than all the product returns chain entities. The purpose of this paper is to explore value creation and appropriation in a triad of supplier-retailer-3PL in the product returns chain.

The study uses an inductive qualitative approach. Semi-structured interviews with executives in a triad of organisations formed the primary data source for the study.

The paper identifies six value drivers and develops a value creation and appropriation framework. It shows that facilitation, value orientation, process alignment and relational factors are key drivers of value creation and appropriation in PRM.

The findings reinforce the view that value creation and appropriation are the outcomes of multi-party interactions in a product return chain. The framework presented contributes to the literature by showing the linkages amongst key drivers.

The findings show the important role of external process facilitation and how a 3PL contributes to value creation in a triadic relationship.

Research based on a triadic product returns chain is a unique dimension of this study.

In a growing number of competitive sectors with closed‐loop supply chains, the reverse component has become an inherent part of the business, not to mention a core competence; hence the need to have performance measures that can be used to provide an accurate diagnosis of the state of the supply chain by addressing both its forward and its reverse components. It is also important to identify the level of existing integration between parties, as this has been associated with supply chain performance. This paper seeks to address this issue.

Elements gathered from the literature reviewed are used to present a set of measures that can be applied for auditing purposes in: the forward supply chain; product returns and reverse logistics; flows of materials and information and integration between supply chain tiers. To illustrate the use of the proposed set of measures for auditing purposes a case study involving a major European mobile phone network operator was analysed using the operator's own brand of handsets characterised for having a closed‐loop supply chain.

The proposed set of measures for auditing purposes provide an overall picture of the performance of a closed‐loop supply chain by revealing high levels of stock for the products analysed, consequence of the difficulty to generate accurate forecasts and the accumulation of high quantities of product prior to launch. Also the methodology presented in this paper identifies links between product returns (faulty and non‐faulty) to operations in the forward component of the supply chain (design, sourcing, manufacturing and forecasting) and also indicates how performance is affected because of integration.

The proposed set of measures for auditing purposes is relevant to closed‐loop supply chains which are related to products with short life cycles and during their lifetime can experience faulty and non‐faulty returns. The scope of the study presented may look limited; however, the application of the performance measures presented in this research can become a fundamental component of larger audit exercises. Further research should be carried out with supply chains on products with lifetime cycles that span long periods of time.

For industry sectors with closed‐loop supply chains, the availability of a set of measures that address the forward and reverse components plus integration can provide a detailed picture of the performance of value streams over traditional approaches to measurement that focus on only one component of the supply chain. The set of measures has the potential to be used to achieve better customer service and reduction in costs involving shipping, warehousing, labour and call centres.

The contribution of this research on closed‐loop supply chains is a methodology that defines performance measures for auditing purposes of the forward and reverse components of supply chains and assists in assessing the importance of integration between different tiers of supply chains.

The purpose of this paper is to explore the impact of the product residual value (PRV) and the loss of value over time of returned products in the reverse supply chain configuration. It also examines whether or not the distinction of Fisher's functional and innovative products holds for the reverse supply chain.

In order to identify the relevance of the Fisher model, the model needs to be recast in terms of PRV, which, in this context, is considered the independent variable in the reverse logistics arena. Products defined as innovative in Fisher's taxonomy correspond to disposed products with high residual value, whereas functional products correspond to disposed products with low residual value. Furthermore, the PRV and the speed at which returned products lose their value are considered in order to determine the configuration of the reverse supply chain that allows for recapturing most of the PRV. These notions have then been tested by analyzing two reverse supply chains with a case study research methodology.

The findings show that low PRV is associated with second‐class recovery options (recycling and energy recovery) and that high PRV is associated with first‐class recovery options (reconditioning and remarketing). When the recovery option is recycling, time is not relevant, the primary objective is cost reduction (efficiency), the chain is centralized, and actors and phases of the reverse chain are determined by the specificity of the recycling process. When the recovery option is reconditioning, time is primarily relevant, tradeoffs between costs and time efficiency are necessary, the chain presents a centralized structure, and the presence of other types of actors and phases influences the structure of the reverse supply chain.

The focus is restricted to the industry of electrical and electronic products.

Based on the outcome of the study, managers are able to determine the basic prerequisites for the design of their reverse supply chains.

Previous literature suggests that when the PRV is high, early product differentiation is necessary, and the chain is therefore decentralized. The paper demonstrates that this is not confirmed in the case of low returned volumes and high reconditioning quality standards.

Supply chains (SCs) have been growingly virtualized in response to the market challenges and opportunities that are presented by new and cost-effective internet-based technologies today. This paper designed a virtual closed-loop supply chain (VCLSC) network based on multiperiod, multiproduct and by using the Internet of Things (IoT). The purpose of the paper is the optimization of the VCLSC network.

The proposed model considers the maximization of profit. For this purpose, costs related to virtualization such as security, energy consumption, recall and IoT facilities along with the usual costs of the SC are considered in the model. Due to real-world demand fluctuations, in this model, demand is considered fuzzy. Finally, the problem is solved using the Grey Wolf algorithm and Firefly algorithm. A numerical example and sensitivity analysis on the main parameters of the model are used to describe the importance and applicability of the developed model.

The findings showed that the Firefly algorithm performed better and identified more profit for the SC in each period. Also, the results of the sensitivity analysis using the IoT in a VCLSC showed that the profit of the virtual supply chain (VSC) is higher compared to not using IoT due to tracking defective parts and identifying reversible products. In proposed model, chain members can help improve chain operations by tracking raw materials and products, delivering products faster and with higher quality to customers, bringing a new level of SC efficiency to industries. As a result, VSCs can be controlled, programmed and optimized remotely over the Internet based on virtual objects rather than direct observation.

There are limited researches on designing and optimizing the VCLSC network. This study is one of the first studies that optimize the VSC networks considering minimization of virtual costs and maximization of profits. In most researches, the theory of VSC and its advantages have been described, while in this research, mathematical optimization and modeling of the VSC have been done, and it has been tried to apply SC virtualization using the IoT. Considering virtual costs in VSC optimization is another originality of this research. Also, considering the uncertainty in the SC brings the issue closer to the real world. In this study, virtualization costs including security, recall and energy consumption in SC optimization are considered.

1. Investigates the role of IoT for virtual supply chain profit optimization and mathematical optimization of virtual closed-loop supply chain (VCLSC) based on multiperiod, multiproduct with emphasis on using the IoT under uncertainty.

2. Considering the most important costs of virtualization of supply chain include: cost of IoT information security, cost of IoT energy consumption, cost of recall the production department, cost of IoT facilities.

3. Selection of the optimal suppliers in each period and determination of the price of each returned product in virtual supply chain.

4. Solving and validating the proposed model with two meta-heuristic algorithms (the Grey Wolf algorithm and Firefly algorithm).

Investigates the role of IoT for virtual supply chain profit optimization and mathematical optimization of virtual closed-loop supply chain (VCLSC) based on multiperiod, multiproduct with emphasis on using the IoT under uncertainty.

Considering the most important costs of virtualization of supply chain include: cost of IoT information security, cost of IoT energy consumption, cost of recall the production department, cost of IoT facilities.

Selection of the optimal suppliers in each period and determination of the price of each returned product in virtual supply chain.

Solving and validating the proposed model with two meta-heuristic algorithms (the Grey Wolf algorithm and Firefly algorithm).

The authors explore complex adaptive systems (CAS) theory as an updated theoretical perspective for managing product returns that better matches the chaotic nature of recent consumer behaviors. CAS theory highlights the importance of agents who create and self-organize to help systems adapt in unpredictable environments.

This research utilizes data collected from return managers in an online survey and applies regression analyses to estimate the influence of the focal variables.

Empirical evidence of the firm flexibility–firm adaptability link is established, and return processor creativity positively relates to this link. The firm flexibility–firm adaptability link fully mediates the relationship between return processor creativity and returns management performance and partially mediates the relationship between return processor creativity and relationship quality. Nonmediated effects were observed for turnover and revenue size.

Managers of returns who embrace an adaptability approach become facilitators of returns by supporting processor creativity. Enhancing the autonomy of processors in their day-to-day work increases the knowledge-creation capabilities of the firm, which helps the firm move forward and adapt in an uncertain environment.

This research presents empirical evidence of the underlying mechanisms of CAS theory in the product returns context by studying processor agents and argues that CAS theory better fits the current dynamics of the product returns environment. Further, this paper extends work by Espinosa et al. (2019) and Nilsson (2019) by studying how a specific human characteristic – creativity – impacts product returns management.

This paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.

The paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.

The cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.

Virtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.

The paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.

The purpose of this research is to apply a simulation experiment to investigate the impact of new components purchasing and used components recovery strategies on multiple performance measures. The research compares the effectiveness of these strategies, given different levels of uncertainty for the return flow from the contingency perspective.

The experimental design is implemented using an ARENA simulation model. Simulation results are used to test the proposed research model. Multivariate analysis of variance is used for data analysis.

The results demonstrate that while a proactive purchasing strategy reduces total system cost, it also negatively affects service level. While there are some general conclusions, it is equally important to make decisions under specific business contexts.

The primary implication is that a firm has to align its purchasing strategy and recovery strategy with its business strategy. Given the tradeoff on multiple performance dimensions, the business strategy guides the selection of the appropriate purchasing and recovery strategy.

This paper demonstrates that using multiple performance measures is necessary to accurately assess cost and service trade‐offs related to a proactive purchasing strategy. Considering a wide range of circumstances, this paper suggests that the contingency perspective is a valid approach for investigating closed‐loop supply chains.

The purpose of this paper is to explain what determines the influence of reverse logistics onto green supply chain competitiveness and to find out if that influence is always uniform.

The paper contains an empirical research conducted using a survey-based study, which encompassed a sample size of 228 participants and final consumers that have experience in buying/using products derived from the reverse logistics process.

The results indicate that the influence of reverse logistics onto green supply chain competitiveness is dependent on the product return option and is mainly negative with Serbian consumers, since the perceived quality of each of the three return options is considered to be inferior compared to new products.

The study's empirical results show the there is a generally negative perception among consumers regarding the perceived quality of each of the three product return options, thus directly questioning the general justification of using reverse logistics in Serbian business practice. That is a sign for Serbian managers to enhance their efforts to raise future awareness of the green initiatives importance among business partners, but also final consumers.

The study`s contribution is twofold: first, it helps to additionally test the established and known methodology created by Hazen et al. (2011), thus contributing to the practical dimension of international comparability concerning consumer perceptions. Second, the study adds to research by addressing the gap in practical surveys regarding the reverse logistics practices.

The purpose of this paper is to identify the major reverse logistics design aspects in used clothing value chains, and those enabling and challenging manifestation of value creation.

This research is based on an exploratory study of 12 established organizations in Swedish used clothing networks. Data were gathered through semi-structured interviews, secondary sources, and subsequent field visits.

Empirical insights on how various design aspects influence value creation in used clothing value chains are provided. Crucial among these are strategic and consistent collection, presence of multi-channel sales, and communication of post-retail concepts for manifesting value by bolstering consumer satisfaction, environmental motivation, and corporate image. Inter-organizational collaboration in reverse logistics processes and workplace training, further renders higher economic, environmental and information values.

The paper proposes a holistic framework of design aspects in reverse value chains, and extends existing knowledge on how these aspects manifest value creation. By doing so, a nuanced view of the design aspects is offered by highlighting how they can differentially, either enable, or challenge value creation. In this connection, seven supporting propositions are developed for in-depth future research.

The paper includes implications for the devising strategic solutions for higher value creation, by understanding of the key enablers and challenges, for many actors in the used clothing networks.

The role of various design aspects in reverse value chains for manifesting multifaceted stakeholder value creation is explicitly defined in the paper.

The purpose of this paper is to explore the influence of collaboration and information technology (IT) on the reverse logistics competency of firms. Through collaboration firms can improve their ability to handle returns, but this research introduces IT as providing a moderating influence over the impact of collaboration in the advancement of a reverse logistics competency.

A survey was administered to employees involved with supply chain relationships. Empirical evidence from 267 respondents is analyzed with structural equation modeling.

Support is found for the positive moderating influence of an IT competency on the relationship between collaboration and a reverse logistics competency. Additional benefits for logistics performance are also realized.

This research provides theoretical implications for the development of a reverse logistics competency through an application of resource-based theory/resource-based view of the firm. The study is limited to the selected research questions and sample of predominantly US firms.

This research assists managers as they attempt to develop a reverse logistics competency to address the growing problem of returns through collaboration with supply chain members and the development of an IT competency.

The framework developed in this research provides insights regarding the handling of product returns. Specifically, the moderating influence of an IT competency is addressed as it enhances the impact of collaboration on the development of a reverse logistics competency.