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This study aims to explore the relationships among institutional pressures, commitment of resources and returns management. Returns management is regarded as a part of supply chain management. However, the research in returns management has received much less attention. To bridge the gap, this study concerns key concepts from two important schools of thought, i.e. institutional theory and the resource-based view, to build up the research model.

Retailers and maintenance providers in the 3C industry (computers, communication and consumer electronics) in Taiwan were surveyed, and the statistical methods of hierarchical and moderated regression were used to examine the relationships among institutional pressures, commitment of resources and returns management.

Institutional pressures, comprising non-market and market pressures, affect the implementation of returns management (product return practices and product recovery practices). Commitments of resources positively and significantly moderate the relationship between the pressures imposed by non-market and market actors and product return practices and product recovery practices.

This study investigates only the factors that drive returns management. Future research can examine the relationship between the antecedents and consequences of returns management. Furthermore, returns management may become increasingly critical for firms to develop and perform corporate social responsibility (CSR). Therefore, future research can investigate the relationship between CSR practices and returns management.

This research suggests that managers under institutional pressures should continually pay attention to the effects of external factors on returns management. Additionally, the results reveal that a commitment of resources can reinforce the relationship between the pressures imposed by non-market and market actors and the implementation of returns management. Under significant institutional pressures and resource constraints, managers may increase the effectiveness of returns management while attending to the concerns of non-market and market actors.

This study presents a model that considers three major explicative variables: institutional pressures, resources commitment and returns management. It is the first investigation to integrate three streams of literature on institutional theory, the resource-based view and returns management.

With the rapid growth of consumer sales being fulfilled through omni-channel retailing, the purpose of this paper is to explore the subsequent impact on the levels of consumer retail returns experienced through online sales and the emergent returns management strategies being affected by retailers in relation to network configuration and returns management processes.

The authors uses a mixed methods approach from an interpretive perspective. It is appropriate to describe the approach in terms of convergent design, since the authors have collected both qualitative and quantitative data.

Return rates for online retailing can be double those for stores, while return levels for “considered purchases” remain similar. The findings suggest that omni-channel returns management has yet to fully mature and the authors find challenges for network design and returns processes in offering a seamless solution.

For practitioners the authors identify a number of challenges and offer insights to improve performance in returns management process, while for academic colleagues the authors propose a number of avenues for further research both in the qualitative and quantitative fields.

While a significant body of extant literature exists, in researching the generalized retail returns management process this paper make a contribution by addressing the emergent managerial implications of omni-channel retail returns.

This study investigated business-to-business (B2B) repeated purchase intent and its relationships with customer value and customer satisfaction. Additionally, it explored the link between willingness to purchase again, switching costs and product returns management. Modern customers are more likely to switch suppliers; however, previous research suggests that this behaviour can be attenuated by a robust returns management experience. The purpose of this study was to provide a revised model of B2B repeated purchase intent that integrates the concept of product returns management and switching costs with existing B2B customer repurchase intent models.

First, a qualitative inquiry based on semi-structured interviews was conducted to test and develop a quantitative survey. Then a survey was then sent to business owners operating in the audiology industry. Finally, there were 317 responses.

The authors reveal the complex relationship between returns management and repeated purchase intent. Specifically, the authors’ results indicate that the effect of product returns on repurchase intent is opposite to the effect of customer value, depending on the value of customer value. The authors’ findings indicate that even when switching costs are low, firms can positively impact the intent to purchase again in the future if they increase the level of customer satisfaction. In addition, the authors’ findings indicate that in the context of B2B a high/low level of customer satisfaction does not trigger a positive effect of managing product returns on repurchase intent.

This study was the first to introduce the concept of product returns management to research on B2B repurchase intent.

The purpose of this paper is to provide a multidimensional understanding of the management of feedback from customer product returns and the management practices that lead to the occurrence of product returns in the context of knowledge management. The characteristics of product returns indicate that to manage them requires specific knowledge management, as the nature of their management is rather complex.

Understanding of feedback concept for the purpose of product returns avoidance management and its linkages with knowledge management through the theoretical review was performed first. Second, soft systems methodology (SSM) to analyze the very complex situation, as the product returns present, provided the conceptual framework for empirical research. The principles and best practices of SSM were followed and an analysis of documents together with the theoretical knowledge of feedback, product returns and knowledge management served as the basis for the action research.

The research highlighted the importance of knowledge management (even in a rather simple form) for the solution of the problematic situation and underlined the necessary interconnections between different areas of business processes management and the need to manage knowledge. It also showed that product returns act as important feedback for the whole organization.

This paper is the first attempt to apply current knowledge of the feedback construct into the knowledge and product returns management. It is also the first attempt to apply SSM to product returns management.

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.

Forecasting product returns plays an important role in the operations of reverse logistics (RL). However, their contribution to sustainability performance is yet to be explored. The purpose of this paper is to explore the product returns in Indian electronics industry and examine the relationship of forecasting product returns with triple bottom line performance of RL.

In this study, based on past literature review, four hypotheses, relating to forecasting of product returns and its association with performance, were developed. A questionnaire was sent to 700 respondents from the Indian electronics industry. Overall, 208 received responses were found suitable for the research. The necessary statistical analysis was carried out to ensure the reliability and validity of the questionnaire. In order to test different hypotheses, partial least square path modelling (PLSPM) technique of structural equation modeling was utilized.

Measurement model had shown sufficient data fit for the modeling. PLSPM results reveal that the accuracy in forecasting product returns is positively associated with operational performance of RL. It also plays an important role in the sustainability efforts of an organization.

Managers can utilize results of study for exploring and emphasizing issues of product returns for improving RL performance. One of the limitations is that data are collected only from Indian electronics industry. Another limitation is that only product returns are considered for the operational and TBL performance of RL. In future, study may be carried out considering different factors in other sectors and countries.

The intent of forecasting product returns is considered to be operational efficiency. It can make significant contributions to the sustainability efforts of an organization. Review of the past literature indicates that research in the field of RL is in developing stage, and issues related to forecasting product returns are under-represented. The paper adds value to the few available articles on product returns.

This study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.

Using a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.

The findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.

The study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.

This study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

This paper aims to review the literature on “E-fulfillment” with respect to marketing and operations issues in the current dynamic and complex e-tailing environment and thereby generate significant insights.

This paper is based on a systematic literature review on e-fulfillment focusing on marketing and operations issues therein. This systematic literature review consists of a critical review on e-fulfillment under planning (review question initialisation), searching (literature search), screening (literature evaluation), extraction and synthesis and reporting phases to conceptualise e-fulfillment. A total of 122 research articles have been reviewed to explore e-fulfillment and to develop key constructs and propositions.

This review provides the following three outcomes. First, the varied-fulfillment definitions have been critically reviewed, leading to synthesis, and thereby, an e-fulfillment definition is provided. Further, the variations for e-fulfillment across product types, which have been identified as a key variable for e-fulfillment, have been explored. Second, authors find five e-fulfillment components at the marketing and operations interface: website quality, customisation strategy, distribution strategy, last mile delivery and return management. Continuing with the e-fulfillment interface with marketing, the linkages between e-fulfillment and select post-purchase consumer behaviours measures across different product types have been reviewed. The paper thus with a focus on synthesising e-fulfillment literature from a process perspective emphasises the consumer behaviour metric for measuring e-fulfillment performance.

This study would help academicians, researchers, e-tailers and practitioners to understand e-fulfillment from a process perspective. For the researcher, it presents areas for future research by giving possible research directions in this emerging area. This study also brings out the impact of e-fulfillment according to product type on the post-purchase consumer behaviour measures, which will help e-tailers to link e-fulfillment to consumer behaviour metrics.

The paper classifies the fragmented literature to develop constructs and propositions for e-fulfillment. This is the first kind of study on e-fulfillment process and its impact on select post-purchase consumer behaviour measures across product types.

The purpose of this paper is to introduce qualitative comparative analysis (QCA) to the field of supply chain management and provide a detailed roadmap that supply chain researchers can utilize when applying this methodology.

Data collection focused on the evaluation of product returns management practices as perceived by business customers who operate in a supplier–customer context. In order to analyze the data using the QCA approach, a multi-step analysis was developed.

The results indicate five solutions that lead to high levels of customer satisfaction. The existence of multiple sufficient configurations for customer satisfaction indicates equifinality because multiple alternative solutions can lead to the same outcome.

The authors make a methodological contribution by applying the QCA method to the field of supply chain management and providing a detailed roadmap that supply chain researchers can utilize.

The authors provide managers five different and novel combinations of antecedents that lead to higher levels of customer satisfaction.

This study offers supply chain researchers a better understanding of when it is appropriate to use QCA and how to apply this methodology. From a theoretical perspective, past studies focused exclusively on the “net effects” of these antecedents, thus, did not capture the complexity of the relationships between these various antecedents and customer satisfaction. This is a noteworthy contribution as it highlights the complexity of the amalgam of relationships and factors that impact customer satisfaction within the context of reverse supply chain.

The purpose of this paper is to empirically explore supply chain integration (SCI) enabling practices, their benefits and barriers in a retail product returns process context.

The study adopts a case study research strategy. It draws on a single case, comprised of an original equipment manufacturer (OEM) and its two retailers. It utilizes an in-depth semi structured interviewing approach, combined with walk-through observations.

The study finds that management of retail product returns can significantly benefit both an OEM and its customers when appropriate SCI enabling practices are deployed. While these practices are similar to those in forward supply chain processes, barriers are driven by the characteristics of product returns processes.

The limitations of this study stem primarily from its methodological design. A single case research strategy provides a limited opportunity for external generalization of the research findings.

This study illustrates the value of SCI initiatives in product returns processes and informs managers ' decision making in the planning and execution of similar SCI implementations in product returns processes.

This research claims to be one of the first works that systematically and empirically explores SCI in reverse supply chain processes, as opposed to forward supply chain processes.