Search results
1 – 10 of 685Ali Nikseresht, Davood Golmohammadi and Mostafa Zandieh
This study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
Details
Keywords
This chapter analyzes the efficiency levels of a circular economy (CE) with an emphasis on transaction costs. It examines the governance aspect of CE activities in comparison to…
Abstract
This chapter analyzes the efficiency levels of a circular economy (CE) with an emphasis on transaction costs. It examines the governance aspect of CE activities in comparison to the predominant linear value creation. Extant CE research in business studies tends to be descriptive and lacks a theoretical foundation, particularly in understanding CE management. Transaction cost theory explains efficiency in economic organizing, lending itself to the study of arrangements that maximize resource efficiency at continued economic virtue. The conceptualization proposes that CE transaction costs are greater than those within the linear economy (LE), primarily due to the uncertainties about reciprocal dependencies, looping material complexities, exchanging novel information, and increased contracting efforts. Geographically bounded and institutionally homogeneous CE initiatives may curb these rising costs. By bringing efficiency concerns into CE analysis, the chapter demonstrates the applicability of transaction cost theory and highlights CE relevance to international business by pointing out spatial choice implications.
Details
Keywords
Gianluca Elia, Gianpaolo Ghiani, Emanuele Manni and Alessandro Margherita
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
Details
Keywords
Subhodeep Mukherjee, Ramji Nagariya, K. Mathiyazhagan, Manish Mohan Baral, M.R. Pavithra and Andrea Appolloni
Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial…
Abstract
Purpose
Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial intelligence (AI)-based reverse logistics will help Micro, Small, and medium Enterprises (MSMEs) adequately recycle and reuse the materials in the firms. This research aims to measure the adoption of AI-based reverse logistics to improve circular economy (CE) performance.
Design/methodology/approach
In this study, we proposed ten hypotheses using the theory of natural resource-based view and technology, organizational and environmental framework. Data are collected from 363 Indian MSMEs as they are the backbone of the Indian economy, and there is a need for digital transformation in MSMEs. A structural equation modeling approach is applied to analyze and test the hypothesis.
Findings
Nine of the ten proposed hypotheses were accepted, and one was rejected. The results revealed that the relative advantage (RA), trust (TR), top management support (TMS), environmental regulations, industry dynamism (ID), compatibility, technology readiness and government support (GS) positively relate to AI-based reverse logistics adoption. AI-based reverse logistics indicated a positive relationship with CE performance. For mediation analysis, the results revealed that RA, TR, TMS and technological readiness are complementary mediation. Still, GS, ID, organizational flexibility, environmental uncertainty and technical capability have no mediation.
Practical implications
The study contributed to the CE performance and AI-based reverse logistics literature. The study will help managers understand the importance of AI-based reverse logistics for improving the performance of the CE in MSMEs. This study will help firms reduce their carbon footprint and achieve sustainable development goals.
Originality/value
Few studies focused on CE performance, but none measured the adoption of AI-based reverse logistics to enhance MSMEs’ CE performance.
Details
Keywords
The study explores manufacturers' supply chain social capital (SCSC) (structural social capital and relational social capital) and supply chain performance, respectively, as…
Abstract
Purpose
The study explores manufacturers' supply chain social capital (SCSC) (structural social capital and relational social capital) and supply chain performance, respectively, as drivers and outcome of green supply chain management practices (GSCMPs). Additionally, the study explores the direct relationship between SCSC and supply chain performance of manufacturers.
Design/methodology/approach
The author develops and tests a research model grounded in the resource-based view and the natural resource-based view theory using survey data from 100 manufacturing firms operating in Ghana. The measurement model and hypothesized paths were examined using partial least squares structural equation modeling.
Findings
The findings revealed that relational social capital of manufacturers has a positive and significant relationship with supply chain performance, but structural social capital does not. Additionally, manufacturers' structural social capital and relational social capital were found to have a positive and significant relationship with GSCMPs. Lastly, GSCMPs were found to have a positive and significant relationship with supply chain performance.
Originality/value
The study contributes to the limited literature demonstrating the contribution of intangible relational assets, specifically SCSC, toward GSCMPs implementation.
Details
Keywords
David Asamoah, Benjamin Agyei-Owusu, Dorcas Nuertey, Caleb Amankwaa Kumi, Joseph Akyeh and Prince Delali Fiadjoe
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
Details
Keywords
José G. Vargas-Hernández and Omar C. Vargas-González
This chapter aims to critically analyse the implications that the national protectionist policies have on the global supply and value chains and the relocation of production. The…
Abstract
This chapter aims to critically analyse the implications that the national protectionist policies have on the global supply and value chains and the relocation of production. The analysis is based on the assumptions that the global economy is facing the possibility of decoupling of many trade connections, and this trend favours de-globalisation processes that have long been promoted by populism, nationalism and economic protectionism. It is concluded that global supply, production and value chains although being economically efficient are no longer any more secure under national protectionist policies, and therefore, the relocation of production processes is mainly due to the increase in the level of income and wages of the developing countries that are the destination and which reduce the advantages to relocate.
Details
Keywords
Non-profit organizations (NPOs) are exposed to a highly competitive environment in which they are forced to grow their commercial activity to acquire additional financial…
Abstract
Purpose
Non-profit organizations (NPOs) are exposed to a highly competitive environment in which they are forced to grow their commercial activity to acquire additional financial resources. This study aims to create an understanding of how NPOs involved in textile reuse as a revenue-generating programme manage their reverse supply chains (RSC).
Design/methodology/approach
The research involves an embedded single-case study of NPOs in Finland involved in post-use textile collection. The main data sources are semi-structured interviews and participant observations.
Findings
This study is inspired by the microfoundations movement and identifies the underlying microfoundations of the NPOs’ capabilities for managing RSC for textile reuse. The study contributes to the literature by demonstrating NPOs’ lower-level, granular practices and their adaptations for achieving quality outcomes in textile reuse.
Research limitations/implications
The findings have context sensitivity and apply to the NPOs which operate in a context similar to Finland, such as in other Nordic countries.
Practical implications
This study continues the discussion on the adoption of “business-like” practices in the NPOs’ pursuit of additional revenue streams to finance humanitarian work. The findings of this study can also be transferred to the growing area of domestic textile circularity.
Social implications
Using the case of NPOs in textile reuse, the study illustrates how RSC management can serve a social, non-profit cause and transform unwanted textile products into a source of fundraising for humanitarian work.
Originality/value
This enriches the understanding of NPOs’ practices within the scope of revenue-generating programmes by examining one of them – textile reuse through charity shops from an RSC perspective.
Details
Keywords
Financing remains a serious concern for firms and is considered the main hurdle in the growth and development of small and medium enterprises (SMEs). Recently, a new stream of…
Abstract
Purpose
Financing remains a serious concern for firms and is considered the main hurdle in the growth and development of small and medium enterprises (SMEs). Recently, a new stream of financing (SCF; supply chain finance) has emerged to meet the financing issues of SMEs. Therefore, measuring SCF is essential to support SMEs’ operations. This study aims to develop and validate the SCF scale based on extant literature.
Design/methodology/approach
Using a mixed-method approach, this study recruited different samples of SME entrepreneurs to confirm the internal consistency, assess construct validity and check the item structure of the SCF scale in AMOS.
Findings
The outcomes of confirmatory factor analysis demonstrated the six factors of SCF (inventory financing, working capital optimization, reverse financing, fixed assets financing, logistics financing and order cycle financing) spread over 21 items. An interitem solid structure of the SCF scale offers invaluable contributions to the supply chain management literature.
Practical implications
This research supports SME entrepreneurs to obtain secure financing at the best cost, mitigating the risk of default, supporting the buyers’ payment terms, providing early payment to suppliers and strengthening the firm’s value chains. SMEs can obtain financing per their requirements to support their operational business processes. Moreover, SMEs can plan, manage and control finance-related transactional activities by correctly identifying financing solutions.
Originality/value
The present study contributes to SCM literature by developing and validating the SCF scale. To the best of the author’s knowledge, this is the first study that redefined SCF and identified its six dimensions.
Details
Keywords
Mohammad Mahdi Vali-Siar and Emad Roghanian
This study addresses resilient mixed supply chain network design (SCND) and aims to minimize the expected total cost of the supply chain (SC) considering disruptions. The capacity…
Abstract
Purpose
This study addresses resilient mixed supply chain network design (SCND) and aims to minimize the expected total cost of the supply chain (SC) considering disruptions. The capacity of facilities is considered uncertain. In order to get closer to real-world situations, competition between SCs is considered.
Design/methodology/approach
A two-stage stochastic programming model is developed for designing the SC network. The location of facilities and selection of suppliers are considered first-stage decisions, and the determination of materials and products flows are second-stage decisions. Some resilience strategies are applied to mitigate the negative impacts of disruptions.
Findings
The results indicate that considering resilience and applying the related strategies are vitally important, and resilience strategies can significantly improve the SC objective and maintain market share. Also, it is confirmed that unrealistic decisions will be made without considering the competition.
Originality/value
This study contributes to the literature by proposing a novel mathematical model for the resilient mixed SCND problem. The other contribution is considering the chain-to-chain competition in collecting returned products and selling recycled products to other SCs in a mixed SC under disruptions. Also, a novel hybrid metaheuristic is developed to cope with the complexity of the model.
Details