Search results

Sustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework, and suggest further research directions.

In the paper the authors have undertaken an extensive review of literature and classified articles using a novel classification scheme.

Through the extensive review and identification of research gaps, the paper identifies significant differences between definitions and methodologies in the SSCM literature; and argues for “WCSSCM.” This term is elaborated on via a theoretical framework in which 18 dimensions are classified under six constructs of SSCM. Furthermore, a list of potential research directions for WCSSCM is discussed.

The research is an attempt to critically review literature, argue for WCSSCM, and develop a theoretical framework.

The paper offers a new approach to SSCM literature, arguing for WCSSCM through a framework, and providing further research directions.

This paper aims to empirically explore the effects of intellectual capital (IC) on supplier selection (SS) and, consequently, investigates the consecutive impacts on an Asian automotive supply chain performance (SCP).

A questionnaire-oriented survey obtained from top managers and expert employees from three different Asian automotive industries, all of which exist in the same supply chain, was utilized for factor analysis and structural equation modeling (SEM).

The findings indicate that some dimensions of IC containing human capital, relational capital and structural capital sufficiently influence evaluation and selection of optimal suppliers which lead to more efficient performance of the supply chain.

First, as the research analyzes the findings extracted from three important Asian automotive companies which exist in the same supply chain, the results may not be applicable to other industries in different countries. Second, gathering data from other elements of the supply chain like wholesalers and retailers could enrich the research conducted. Besides, more advanced statistical methods could be utilized to evaluate the regression equations and SEM.

With a comprehensive view on IC that takes into account its creation, protection and utilization, IC plays an essential role in selecting and assessing optimal suppliers which enhance competitive advantage, especially in knowledge-based organizations. IC will also increase the SCP efficiently and effectively.

This study develops an integrated knowledge model for a SS issue based on IC, and focuses on the effects of its various elements. It offers assistance to managers who tend to select optimal suppliers effectively.

This study aims to focus on sustainable supplier selection in a construction company considering a new multi-criteria decision-making (MCDM) method based on dominance-based rough set analysis. The inclusion of sustainability concept in industrial supply chains has started gaining momentum due to increased environmental protection awareness and social obligations. The selection of sustainable suppliers marks the first step toward accomplishing this objective. The problem of selecting the right suppliers fulfilling the sustainable requirements is a major MCDM problem since various conflicting factors are underplay in the selection process. The decision-makers are often confronted with inconsistent situations forcing them to make imprecise and vague decisions.

This paper presents a new method based on dominance-based rough sets for the selection of right suppliers based on sustainable performance criteria relying on the triple bottom line approach. The method applied has its distinct advantages by providing more transparency in dealing with the preference information provided by the decision-makers and is thus found to be more intuitive and appealing as a performance measurement tool.

The technique is easy to apply using “jrank” software package and devises results in the form of decision rules and ranking that further assist the decision-makers in making an informed decision that increases credibility in the decision-making process.

The novelty of this study of its kind is that uses the dominance-based rough set approach for a sustainable supplier selection process.

Despite growing interest in the intersection of supply chain management (SCM) and management accounting (MA) in the academic debate, there is a lack of understanding regarding both the content and the delimitation of this topic. As of today, no common conceptualization of supply chain management accounting (SCMA) exists. The purpose of this study is to provide an overview of the research foci of SCMA in the scholarly debate of the past two decades. Additionally, it analyzes whether and to what extent the academic discourse of MA in SCs has already found its way into both SCM and MA higher education, respectively.

A content analysis is conducted including 114 higher education textbooks written in English or in German language.

The study finds that SC-specific concepts of MA are seldom covered in current textbooks of both disciplines. The authors conclude that although there is an extensive body of scholarly research about SCMA concepts, there is a significant discrepancy with what is taught in higher education textbooks.

There is a large discrepancy between the extensive knowledge available in scholarly research and what we teach in both disciplines. This implies that graduates of both disciplines lack important knowledge and skills in controlling and accounting for SCs. To bring about the necessary change, MA and SCM in higher education must be more integrative.

To the best of the authors knowledge, this study is first of its kind comprising a large textbook sample in both English and German languages. It is the first substantiated assessment of the current state of integration between SCM and MA in higher education.

This study explores digital transformation in the tea supply chain within developing economies, with a focus on smallholder tea producers in Sri Lanka. Tea is one of the most widely consumed beverages in the world. Among the tea producers, smallholder tea producers account for a substantial portion of total tea production in several countries. Mobile phones play a significant role in providing smallholder producers with access to crucial agricultural information, markets and financial services.

This study adopts a deductive approach, analysing mobile phone ownership, literacy, experience and perception among smallholder tea producers. The chi-squared test of independence and hierarchical clustering methods were used to test the hypotheses and address the research questions.

The study identifies four clusters of smallholder tea producers as Basic Tech Adopters, Digital Laggards, Skeptical Feature Phone Users and Tech-savvy Adopters based on their characteristics towards mobile-based technologies. Approximately 75% of the surveyed sample, which included both tech-savvy and basic-tech adopters, showed a positive attitude toward adopting mobile-based agricultural technologies.

The study suggests developing targeted strategies and policies to enhance the productivity of the smallholder tea production process in developing economies. The study highlights the importance of awareness, access, affordability and availability when implementing digital services for businesses at the base of the pyramid, such as tea smallholdings in developing economies.

The present study aims to address the lack of data-driven empirical studies on the use of mobile phones in smallholder settings. The findings of this study enable the enhancement of entrepreneurship within the tea production supply chain, especially, within stakeholders who deliver digital transformation support services.

The application of a process view, as complement to the traditional functional division, is often a way to highlight organisational improvement potential. This paper examines the process of providing university level education in quality management, using Sweden as an example. The purpose is to assess the performance of university education as part of the supply chain of providing quality management to a society. This has been done by studying the actual offering compared to a notional benchmark of best performance. Preliminary results indicate that there could be a significant improvement potential in both providing more education of the right type and in the right way. A lot of similar basic courses are given but with varying names, possibly reflecting difficulties in defining the area of quality management and its constituents. An important reason for the detected improvement potential seems to be the lack of ownership of the studied supply chain of providing university level quality education to the Swedish society.

This paper aims to explore the evolution of the electric vehicles (EVs) supply chain eco-system from the lens of economy, enterprises, environment and strategy. The paper highlights the opportunities and gaps in the supply chains of EVs and further explores the evolution of the EV supply chain in the context of Asia, and other developing regions, which are transitioning towards sustainable consumption practices.

The paper presents a literature review triangulated with primary research, specifically focusing on the case study of two focal organizations and associated frameworks in the domain of electric mobility, investigating the change led by electric mobility supply chain dynamics and how it has transformed the underlying supply chain ecosystem.

To this end, the paper presents key opportunities and challenges posed in the EV ecosystem, presenting a comprehensive framework of transitioning from internal combustion engines-based vehicles to EVs. The paper also presents a worldwide analysis of the economic and technological readiness of the countries in EVs domain. The paper also presents an EV market classification framework based on geopolitical factors.

The paper opens horizons for further empirical studies (quantitative or qualitative) to understand the nuances of electric mobility.

The paper also presents implications for practicing managers in the domain of the electric supply chain to better understand the ecosystem, opportunities and mitigate challenges posed by this disruptive technology.

With the world working towards a zero-carbon future, understanding the challenges and opportunities in this field is important to support this global shift. The paper presents and an original and novel understanding of the EV supply chain ecosystem.

This study aims to determine how the applications of blockchain technology (BT) can play a crucial role in managing financial flows in the humanitarian supply chain (HSC) and what benefits and challenges are associated with BT in a humanitarian setting.

The present study used a qualitative research approach, incorporating a systematic literature review and conducting semi-structured interviews with 12 experts in the fields of humanitarian operations, supply chain management, fintech and information technology.

The findings show that the humanitarian sector has the potential to reap significant benefits from BT, including secure data exchange, efficient SCM, streamlined donor financing, cost-effective financial transactions, smooth digital cash flow management and the facilitation of cash programs and crowdfunding. Despite the promising prospects, this study also illuminated various challenges associated with the application of BT in the HSC. Key challenges identified include scalability issues, high cost and resource requirements, lack of network reliability, data privacy, supply chain integration, knowledge and training gaps, regulatory frameworks and ethical considerations. Moreover, the study highlighted the importance of implementing mitigation strategies to address the challenges effectively.

The present study is confined to exploring the benefits, challenges and corresponding mitigation strategies. The research uses a semi-structured interview method as the primary research approach.

This study adds to the existing body of knowledge concerning BT and HSC by explaining the pivotal role of BT in improving the financial flow within HSC. Moreover, it addresses a notable research gap, as there is a scarcity of studies that holistically cover the expert perspectives on benefits, challenges and strategies related to blockchain applications for effective financial flows within humanitarian settings. Consequently, this study seeks to bridge this knowledge gap and provide valuable insights into this critical area.

Supply chain risk (SCR) has been extensively explored in various sectors, yet there is a notable scarcity of SCR studies in the dairy industry. This study aims to identify the primary and distinctive risks in the dairy supply chain (DSC), propose a typological model for SCR, highlight challenges specific to the DSC and offer mitigation strategies.

We employ a systematic literature review to collect and review relevant research articles published between 2010 and 2019 to identify the main risks and mitigation strategies associated with the DSC, enabling the construction of a typological model of DSC risks.

Results of the systematic review of the SCR literature show that the main DSC risks include on-farm risk (e.g. risks originating from the farming system), off-farm risk (e.g. supply risk, demand risk and manufacturing risk) and inherent SCR (e.g. logistics risk, information risk and financial risk). Notably, we find that the farming system plays a key role in today’s agricultural supply chain operations, indicating the importance of considering on-farm risk in the entire DSC. Additionally, mitigation strategies are located in response to the identified DSC risks by the typology of DSC risks.

This paper is the first attempt to develop a typological model of SCR for the dairy industry by a systematic literature review. The findings contribute to providing a comprehensive understanding of DSC risks by bridging the gap of ignoring the on-farm risks of the DSC in the existing literature. The typology may serve as a guide in practice to develop mitigation strategies in response to DSC risks.

Firms are increasingly held accountable for the welfare of workers across entire supply chains and so it is surprising that standard forms of governance for socially sustainable supply chain management have not yet emerged. Assessment initiatives have begun to develop as a proxy measure of social sustainable supply chain management. This research aims to examine how social sustainability assessment initiatives instigate and use institutional pressures to drive third-party accreditation as the legitimate means of demonstrating social sustainability in a global supply chain.

Ten assessment initiatives focused on assuring social sustainability across supply chains are examined. Data are collected through interviews with senior managers and publicly available secondary material.

The findings show how the social sustainability assessment initiatives act by instigating institutional pressures indirectly rather than directly. Coercive pressures are the most prevalent and are exerted through consumer and compliance requirements. The notion of pressures operating as a chain is proposed, and the recognition that actors within and outside of a supply chain are crucial to the institutionalization of social sustainability is discussed.

Studies on sustainable supply chain management often focus on how companies sense and act upon institutional pressures. To add to the extant body of knowledge, this study focuses on the sources of the pressures and demonstrates how assessment initiatives use coercive, normative and mimetic pressures to drive the adoption of social sustainability assessment in supply chains.

Recent worldwide developments have altered how businesses operate. As a result, when making business decisions, the emphasis for many industries has shifted towards digital adoption to ensure sustainability, and the food supply chain is no exception. However, a substantial gap exists in assessing the barriers to a digitised food supply chain enabled by Industry 5.0 technologies. This study strives to bridge the gap by identifying and assessing the barriers to improved traceability.

For this study, a mixed method approach was used encompassing both qualitative and quantitative techniques, including an online survey, exploratory factor analysis (EFA), and the fuzzy evidential reasoning approach (FERA). The literature survey and expert opinion first yielded a list of 18 barriers, which were subsequently examined using EFA. As a result, four barriers were removed. The remaining 14 barriers were then assessed using FERA from the perspectives of the Technology, Organisation and Environment (TOE) framework. Further, a sensitivity analysis was performed to test the model’s reliability.

The present study resulted in the prioritisation of barriers from the TOE perspective. According to the findings, the top three barriers that impede the traceability of Industry 5.0-enabled digital food supply chains are Limited Digital and Physical Infrastructure, Inadequate Capital Investment, and the Intricate Supply Chain Framework.

The findings from this research will prove valuable for decision-makers, practitioners and policymakers in developing methods for improving traceability within the digital food supply chain. Concerned stakeholders may use the findings to identify and take immediate action for better decision-making.

This study’s originality lies in its position as one of the first to identify and examine the challenges to better traceability in an Industry 5.0-enabled digital food supply chain. It also adds value by broadening the TOE framework’s scope in the Industry 5.0-enabled digital food supply chain context.

The purpose of this paper is to investigate why multi-tier apparel suppliers integrate social sustainability practices into their supply chains and what barriers these suppliers encounter while embedding social sustainability practices.

This study employs a qualitative research design, drawing on data from semi-structured interviews with 46 owners and managers from 33 multi-tier apparel suppliers in Bangladesh, an important outsourcing hub for the global apparel industry. To corroborate research findings, the views of owners and managers were triangulated by further interviewing 11 key representatives of institutional actors such as third-party auditors, a donor agency, industry associations, regulatory agencies and a non-governmental organisation (NGO).

The authors' findings suggest a range of divergent institutional drivers and barriers – coercive, mimetic and normative – that determine the implementation of multi-tier suppliers' social sustainability practices. The key reported drivers were buyers' requirements, external stakeholders' expectations, top management commitment and competition. Conversely, cost and resource concerns and gaps in the regulatory framework were identified as key social sustainability implementation barriers. In particular, owners and managers of second-tier and third-tier supplier firms experienced more internal barriers such as cost and resource concerns than external barriers such as gaps in values, learning and commitment (i.e. compromise for mutual benefit and non-disclosure of non-compliance) that impeded effective social sustainability implementation.

Social sustainability in supply chain management has received significant attention from academics, business practitioners, governments, NGOs and supranational organisations. However, limited attention has been paid to investigating the drivers and barriers for social sustainability implementation from a developing country's multi-tier supplier perspective. The authors' research has addressed this knowledge gap.

The evidence from the authors' study provides robust support for key assumptions of institutional theory and has useful implications for both managers and policy-makers.

The authors' study contributes to the embryonic research stream of socially sustainable multi-tier supply chain management by connecting it to the application of institutional theory in a challenging institutional context.

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.

The dream of better relationships among different supply chain partners; trust and transparency during different construction activities; integrated supply chain; completion of projects on time, within the agreed cost, with promised quality products and services, and so on, have now been achieved within the UK construction industry due to innovation within the project procurement processes and activities. There has also been a growing realisation that the promotion of innovative thinking, in procurement processes for supply chain integration, offers all the involved parties some key benefits in terms of more flexibility and adaptability, commercial growth, and improved quality of products, and delivered service. This paper highlights the benefits of, and the motivation towards innovative procurement through two case studies done as part of a supply chain integration project at the SCRI research centre. The case studies demonstrate how organizations involved have promoted innovative thinking across the supply chain through innovative procurement. The case studies also highlight some of the critical factors that motivated people within those firms to move from traditional way of procurement, and search, innovate, and implement the new procurement thoughts and models. The paper concludes that these studies offer transferable learning opportunities and motivation for the staff of other construction firms seeking to promote integration within their supply chains through innovative procurement routes.

This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.

The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.

The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.

This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.

Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.

In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.

This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.

The purpose of this paper is to present a brief overview of the field of humanitarian logistics and supply chain management and outline the scope of the new Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM). It further aims to highlight the variety of humanitarian logistics research and summarize the articles in the inaugural issue.

Results from an e‐mail survey with editorial board members are presented. The survey is used to further shape the scope of JHLSCM.

The journal draws on a variety of research streams in humanitarian logistics. This is seen as its richness but also as a challenge.

Humanitarian logistics is an emerging field. There is still a lack of good empirical research and research with rigor as well as relevance. More research needs to be done in developing countries and by researchers from these.

Even though there has been collaboration between humanitarian and commercial organizations, there is also a need to establish humanitarian‐academic partnerships to improve training, education, as well as research – which should ultimately manifest itself in an improvement of practice.

Humanitarian logistics research needs to rediscover its aim to serve beneficiaries.

This paper is an introduction to the inaugural issue of a new journal, JHLSCM.

Several manufacturing firms are facing various internal concerns such as financial and operational issues, which strongly pushed the firms to search for solutions (e.g. supply chain finance; SCF) to sustain their supply chain operations and supply chain effectiveness (SCE). In this view, this study attempts to explore four key factors influencing the adoption of SCF, which, in turn, impacts SCE in Chinese manufacturing firms. Therefore, this study aims to propose that how information sharing, external collaboration, digitization and financial institutions enable manufacturing firms’ to adopt SCF that subsequently enhances SCE. Moreover, how supply chain risk (SCR) mediates the association between SCF adoption and SCE.

The current research recruited 177 Chinese manufacturing firms administrating a questionnaire to supply chain managers and tested the proposed conceptual model and associations using structural equation modeling.

The results reveal that all four factors are positively related to the adoption of SCF, which consequently improves the SCE of manufacturing firms. Moreover, the findings show that the effect of SCF significantly and positively impact SCE. Further, the result also confirmed that SCF significantly mitigates SCR, thereby leads to improves SCE.

The current study mainly focuses on Chinese manufacturing firms, which may generate low generalizability. In addition, this study was based on a cross-sectional research design which may generate common method bias. Therefore, more comparative studies are needed between developed and developing countries to enhance the generalizability of the study findings.

This study provides significant new insights about how marketing managers and practitioners can adopt SCF in manufacturing firms via information sharing, external collaboration, digitization and financial institutions to mitigate firm risk and enhance SCE.

The approach used in this research differs from many of the previous studies and investigates the factors of adoption of SCF and their impact on SCE in the manufacturing firm sector within the context of the Chinese economy. Therefore, this research is an important guide for scholars, managers and executives of marketing, while providing them with a new model, significant insights which are significant in their organizations.

The purpose of this paper is to address the implementation of proactive interorganizational sustainable supply chain strategies by empirically exploring the relationship between key (inter‐)organizational resources of the initiating company and the establishment of widely accepted voluntary sustainability initiatives.

The study is built on comparative case studies as well as literature on institutional entrepreneurship and the resource‐based view.

The authors identify capabilities that enable the creation and establishment of company‐driven voluntary sustainability initiatives – namely external stakeholder integration, cross‐functional integration, the management of loosely coupled business units, supply chain implementation, process improvement and cultural framing.

With this study, the authors introduce institutional entrepreneurship theory to supply chain management literature and show that institutional entrepreneurship theory may contribute to the question of how organizations implement their interorganizational sustainable supply chain strategies. Specifically, the study derives propositions for key resources enabling the establishment of voluntary sustainability initiatives widely accepted by participants as well as initiative‐external stakeholders.

The purpose of this paper is to show how a critical realist paradigmatic stance and its associated research methodology can contribute to supply‐chain research by providing explanations for specific supply‐chain‐ and logistics‐related dynamic phenomena.

Initially, the case for a critical realist research paradigm is made, and then a retroductive pluralistic research methodology is used for demonstrating its application. Starting from an observation in the distribution part of a seasonal goods supply chain, ethnographic‐like field research suggested deeper social structures as being responsible for the events observed. The operation of event‐generating mechanisms related to these structures was matched to existing behavioural theories using dynamic modelling and simulation.

The adoption of the critical realist perspective and its pluralistic research methodology can bring into surface the root causes of, and explain, complex supply chain phenomena. In the particular case presented, it provided an explanation for the inventories observed in a supply chain of perishable seasonal goods as results of two underlying interacting mechanisms: one related to the promotions bias of the manufacturer, and one related to the risk management attitude of resellers.

As far as underpinning philosophy and research methodology are concerned, the research presented is globally significant and valid. Nevertheless, any supply‐chain management policies derived in the demonstrative case as results of the explanation may be significant only to specific industries and geo‐historical contexts.

Results obtained by employing the critical realist perspective may be used in managers' education for developing intellectual frameworks to better understand the causes of complex supply chain phenomena. Of the same importance to practitioners is the methodology and inference process used for explaining real abnormal situations and intervening accordingly.

The paper shows how a critical realist perspective and its associated methodology can be used for extracting/researching deeper mechanisms responsible for observed behaviours in supply chains. Such an approach is in the opposite direction with respect to the hypothetico‐deductive approaches that dominate supply chain research. The paper demonstrates the adoption of the critical realist perspective in supply chain research using a real case.

This paper aims to explore how the novel information technology (NIT) [1] affects three dimensions of sustainable supply chain performance (economic performance, environmental performance and social performance) and how two dimensions of IT alignment (IT infrastructure alignment and IT human resources alignment) mediate the relationship between them.

NIT is defined, the dimension of IT alignment is expanded, the theoretical hypotheses are proposed and are tested using survey data from 394 manufacturing enterprises using NIT in China.

The results indicate that NIT plays a positive role in improving sustainable supply chain performance, and IT alignment mediates the impact of NIT on sustainable supply chain performance.

This study highlights the impact of NIT on sustainable supply chain performance and demonstrates IT alignment as a mediator between them, it also provides a deeper understanding of how different dimensions of IT alignment affect sustainable supply chain performance

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

Despite the growing importance and complexity of modern supply chains, little scholarly attention has been devoted to cognitive processes in supply chain management (SCM). In particular, we know little about the structure of supply chain managers’ cognitive frames and how differences between frames affect sustainable supply chain management (SSCM).

Given the relative scarcity of the topic, this paper uses a conceptual approach. Building on prior literature from cognitive psychology and related areas, it develops ideal types of cognitive frames with which supply chain managers approach sustainability-related decisions.

This study first develops three ideal-type cognitive frames – unidimensional, hierarchical and paradoxical. This paper then shows that it makes a difference which one of these a supply chain manager holds when addressing issues related to sustainable supply. Thereafter, this study discusses the antecedents that can explain why a manager holds a particular cognitive frame.

This paper represents one of the first analyses of how the structure of a supply chain manager’s cognitive frame impacts their firm’s sustainable supply initiatives. Although developed with regard to SSCM, the arguments have implications for other management areas too, not least for the education of future SCM professionals.

Given their boundary-spanning role, attention to the cognitive processes of supply chain managers is crucial to understanding the conditions under which firms can address sustainability challenges in their supply chains.

The purpose of this research is to provide a systematic insight into corporate social responsibility (CSR) and corporate citizenship (CC) in supply chain development, by analyzing the current literature, contemporary concepts, data and gaps for future discipline research.

This research identifies information from existing academic journals and investigates research designs and methods, data analysis techniques, industry involvement and geographic locations. Information regarding university affiliation, publishers, authors, year of publication is also documented. A collection of online databases from 2001 to 2018 were explored, using the keywords “corporate social responsibility”, “corporate citizenship” and “supply chain” in their title and abstract, to deliver an inclusive listing of journal articles in this discipline area. Based on this approach, a total of 164 articles were found, and information on a chain of variables was collected.

There has been visible growth in published articles over the last 18 years regarding supply chain sustainability, CSR and CC. Analysis of the data collected shows that only five literature reviews have been published in this area. Further, key findings include 41% of publications were narrowly focused on four sectors of industry, leaving gaps in the research. 85% centered on the survey and conceptual model, leaving an additional gap for future research. Finally, developing and developed nation status should be delineated, researched and analyzed based on further segmentation of the industry by region.

This research is limited to reviewing only academic and professional articles available from Emerald, Elsevier, Wiley, Sage, Taylor and Francis, Springer, Scopus, JSTOR and EBSCO containing the words “corporate social responsibility”, “corporate citizenship” and “supply chain” in the title and abstract.

This assessment provides an enhanced appreciation of the current practices of current research and offers further directions within the CSR and CC in supply chain sustainable development.

The main purpose of the present study was to improve and develop previously proposed models for Iran telecommunication networks. It should be noted that the six-dimensional (6D) sustainability model used in this study will be a useful and comprehensive model for industries. Since, the new dimension of IT along with the five well-known economic, social, environmental, technical and institutional aspects of organizations is considered to have great impacts on supply chain sustainability; the proposed framework can be practical.

According to the related literature review, there are two research streams in supply chain management. The first stream is exploratory research, seeking out conceptual discussions in this area. The second one is associated with mathematical models and techniques, aiming to set decision-making rules in this regard (Agrell et al., 2004). In this study, evaluation was performed using the FMEA method as an analytical technique based on the principle of pre-occurrence prevention to identify potential failure factors in sensitive systems (Mohammadfam and Kianfari, 2008).

After identifying the risks and causes of the incidence and effects and consequences of risks, preventive and risk control measures and advisory strategies were presented. Customers with 45.76% share in critical risks are threatening to maintain supply chain in these companies. During this study, it was found that 33.9% of the main source of supply chain critical risks was customers, constituting 45.76% of such risks, accompanied by organization, having a 38.88% share of critical risk generation. The study findings also revealed that 33.9% of critical risks were mainly (equally) related to economic and technical aspects of supply chain sustainability in telecommunication networks. Moreover, as a newly-introduced sixth dimension, IT represented 10.17% of critical risks threatening supply chain sustainability in such networks. Critical risks are mainly related to the economic and technical aspects (equally) with the sustainability of the telecommunication networks supply chain. Also, as a new finding and the sixth dimension, 10.17% of the critical risks that threaten the sustainability of the telecommunication networks supply chain have the information technology dimension.

The internet and fixed and mobile data services are provided by several private companies in Iran, which are relatively similar in terms of their supply chains. In order to manage the sustainability of Iran's telecommunication supply chain, telecommunication networks affiliated to Iran Telecommunication Company (ITC), operating in the field of data and internet services and fixed telephone were selected in 31 provinces. The intended networks were also providing an important part of the country's needs including Mobile Telecommunication Company of Iran, a subsidiary of Iran's telecommunication networks, as one of the top companies in this industry. Accordingly, all the networks studied in this study needed to be identified with regard to communication sustainability risks, since they provide management solutions to each other by segregating risks. In this study, 68 managers and 72 experts participated in different work teams of telecommunication networks.

Managing inventory continues to be a growing area of concern for many retailers due to the multitude of issues that arise from either an excess or shortage of inventory. This study aims to understand how a large-scale retail chain can improve its handling of excess seasonal inventory using three common strategies: information sharing, visibility, and collaboration.

This study has been designed utilizing a case study method focusing on one retail chain at three key levels: strategic (head office), warehouses, and retail stores. The data have been collected by conducting semi-structured interviews with senior-level employees at each of the three levels and employing a thematic analysis to examine the major themes.

The results show how three common strategies are being practiced by this retailer and how utilizing these strategies aids the retailer in improving its performance in regard to seasonal inventory. Among our research findings, some challenges were discovered in implementing the strategies, most notably: human errors, advanced forecasting deficiencies, and the handling of return merchandise authorizations.

This research takes a case study approach and focuses on one big-box retailer. The authors chose to study three levels (head office, warehouses, and retail stores) to gain a deeper understanding of the functions and processes of each level, and to understand the working relationships between them. Through the collection of primary data in a Canadian context, this study contributes to the literature by investigating supply chain strategies for managing inventory. The Canadian context is especially interesting due to the multi-cultural demographics of the country.

In the supply chain context, professionals manage various risks that have the potential to disrupt supplies. Surprisingly, one kind of risk is often overlooked: reputational risk. It is critical to recognise the risk potential that impacts on the reputation of the organisation. Furthermore, managers require an appropriate tool set to control it. The present paper aims to have a twin focus: first, it will lay out the basic premises behind corporate reputation, reputational risk, and corporate social responsibility (CSR). Second, the practical implications will be addressed that lead to a substantial teaching component.

The present paper is based on two research stages. Initially, the authors adopted the “reflective practitioner” philosophy that aimed at discovering the common beliefs in practice that explain working processes and management thought. In particular, they explored the foundation of CSR, reputation and risk management with specialists in dedicated workshops (electronics, energy, life sciences, telecommunications and defence industries, located at different stages of the supply chain). To gain more insight, the authors subsequently conducted in‐depth interviews in these topic areas with key informants. The combination allowed them methodological triangulation.

Reputation can be created and controlled as soon as its nature is fully understood (Reputational Owner). Interestingly, it is a transceiving business phenomenon that crosses organizational boundaries. Spillover effects can thus be observed at all stages of the supply chain by mere business association (Reputational Borrower). Reputation can range from positive to negative extremes and needs to be managed. The results of the authors' exploratory work are presented as quotations to provide the substance of the current and relevant subject.

The present work is exploratory in nature. Quantitative research methods are now required to validate and substantiate the findings.

CSR is a contemporary foundation to mitigate reputational risk throughout the supply chain. The authors outline the reputational risk factors in this context and the ways of managing those.

In the market place, reputation is a reflection of the supply chain offering (products, services), communication (promotion, PR), and action (behaviour and views expressed). Consumers adopt supply chain reputation as a yardstick when making purchase decisions. It is therefore critical to manage reputational risk in the supply chain and this paper outlines the cause and effect relationships that this topic entails in modern society.

This paper discusses the importance of reputational risk in the supply chain. It also explains the ways it can be mitigated via CSR. This is the management baseline that adds tremendous value for theory builders and present and future managers. Having the education of Master students in mind, the authors outline three specific teaching units that bring the conceptual underpinnings alive in an interactive learning environment.

This study aims to investigate how the employees' attributes, capabilities, behavioral control and behavioral intentions affect their intention to become a supply chain manager (SCM). The study also investigates how employees' capabilities mediate the relationship between attributes and intention to become SCM.

The purposive sampling frame is employed to collect the data, and multiple statistical tools and techniques are used for analyzing the data.

The findings reveal that attributes are the most crucial factor for the capabilities of employees to become successful SCM. Employees' behavioral intention and capabilities have a significant impact on intention, whereas perceived behavioral control has a significant negative impact on it. Also, the result finds that capabilities partially mediate the relationship between attributes and intention to become an SCM.

The study extends the application of employees' intention to become a supply chain manager. The idea collected is based on Malaysia; thus, further study should be extended to assess the impact of employees' attributes, capabilities and behavioral control to become SCM as well as economic performance in other countries.

To the best of the authors' knowledge, this is the first empirical analysis on the relationship between employees' attributes, capabilities, behavioral control and intention to become SCM in the context of Malaysia. The findings will help the top management to select the right people as SCM and improve their attributes, capabilities and behavior so that they become an effective SCM.

Supply chains can improve their performance by developing competitive priorities in a specified sequence: quality, reliability, flexibility, agility, and finally, cost efficiency. This paper extends Ferdows and De Meyer's (1990) sand cone model and Vokurka and Fliedner's (1998) sand cone model extension incorporating agility to supply chain management priorities. This work provides a framework for a cumulative and sustainable improvement process by which supply chains can build a strategic competitive advantage.

Drawing upon the extended resource-based view (ERBV), this research aims to examine the effects of supply chain diversification (SCD) on enterprise digital transformation (DT), focusing on the external perspective of the supply chain.

Leveraging panel data from Chinese A-share listed companies from 2015 to 2022, this research employs multiple regression analysis to empirically examine the relationship between SCD and enterprise DT.

The results of analysis indicate that: (1) SCD positively influences enterprise DT, a relationship that persists even after rigorous endogenous and serial robustness testing. (2) SCD fosters enterprise DT by bolstering its absorption, innovation, and adaptive capabilities. (3) Executive risk preferences and Pilot Policies positively mediate the effects of SCD on enterprise DT.

This research provides novel empirical insights into the underlying mechanism linking SCD and enterprise DT. The findings offer valuable guidance for enterprises seeking to optimize supply chain management and embrace DT, while also informing policymakers on strategies to facilitate SCD and DT enhancement among enterprises.

This chapter aimed to uncover the gaps in the existing construction supply chain management (CSCM) models. Organisational culture and the fourth industrial revolution (4IR) components are the two gaps that were identified through reviewing existing CSCM models. The 4IR is driven by three components which are smart management, virtualisation and cyber-physical system. It was proposed in this chapter that the practice of CSCM should be in tandem with the components of 4IR. This chapter recommended that for the effective practice of the construction supply chain (CSC) in the 4IR era, construction stakeholders should adopt an innovative and collaborative organisational culture. The organisational culture adopted by a construction firm performs a crucial role in encouraging construction stakeholders in adopting 4IR components for CSCM. Each of the 4IR components is driven by technologies like autonomous robots, building information modelling (BIM), radio frequency identification (RFID), the internet of things (IoT) and others. Among all the technologies, it was discovered that RFID and BIM had gained prominence in most CSC literature. The chapter recommended that blockchain, digital twins and the cyber-physical system are the next trending technology for CSCM.

The purpose of this paper is threefold. First, it describes the general characteristics of studies on logistics and supply chain education (L&SCE). Second, it classifies identified papers on the basis of their main research methods and issues. Finally, it proposes some meaningful directions for future research.

Seventy-three papers published since 2000 in international peer-reviewed journals were reviewed using a systematic review methodology. The collected papers were analyzed and classified on the basis of research methods and issues.

It was found that most papers on L&SCE were published in journals in the logistics and supply chain management field and were conducted by either a single or mixed-method approach. The survey-based approach was the most preferred method. The contribution of this study is twofold. First, the identification of the five competencies and 49 skills required of logistics and supply chain talents was performed along with the analysis of the 42 courses and the teaching methods. Second, this study revealed some important aspects that have received inadequate attention in the literature and proposed potential research directions.

This paper provides academics and practitioners alike with a guide to extant literature. The proposed framework of the competencies and skills required of talents could be a guide to develop competence in both students and employees. The summary of the curriculum and the matrix of relationships between the relevant courses and competencies can be used by educators to improve L&SCE. Finally, the proposed research directions are meaningful for academics.

The supply chain (SC) model is commonly utilized in manufacturing and has also been adapted to a variety of service industries with similar goals. However, in a few service industries, most notably academic libraries, the SC model is rarely implemented, despite the fact that SC management best practises have been shown to boost stakeholder satisfaction, revenue and decrease total expenses. This research aims to discuss the development of the entities of an academic library SC model and present the verifying/validation process of the model.

In this research, both qualitative and quantitative approaches have been used. System thinking method used to develop the conceptual SC model of the academic library and fuzzy Delphi method (FDM) used to validate the developed model.

This research explores the functions and components that need to develop and validate the academic library SC model.

The outcome of this research is to construct a valid SC model of an academic library which could be a strategical tool for ensuring a quality service for the library users and the stakeholders because this model shows a holistic view of all entities of the academic library SC.

A framework for comparing supply chain logistics and the strategic orientation of the firm is explored. Seventeen attributes of supply chain logistics management are investigated along with five stages of strategic evolution of firms. Specific findings note management challenges when it is either below or beyond the strategic level of the firm. In addition, this research highlights how supply chain logistics managers can prioritize training, development, and purchasing activities.

This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance followed by the selection of data quality dimensions to any organization's success.

A fuzzy analytic hierarchy process (AHP) based research methodology has been proposed and utilized to assign the criterion weights and to prioritize the identified speed, synthesis and significance (3S) indicators. Further, the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) technique has been used to measure the data quality dimensions considering 3S as criteria.

The effective indicators are identified from the past literature and the model confirmed with industry experts to measure these indicators. The results of this fuzzy AHP model show that the synthesis is recognized as the top positioned and most significant indicator followed by speed and significance are developed as the next level. These operational indicators contribute toward BDA and explore with their sub-categories' priority.

The outcomes of this study will facilitate the businesses that are contemplating this technology as a breakthrough, but it is both a challenge and opportunity for developers and experts. Big data has many risks and challenges related to economic, social, operational and political performance. The understanding of data quality dimensions provides insightful guidance to forecast accurate demand, solve a complex problem and make collaboration in supply chain management performance.

Big data is one of the most popular technology concepts in the market today. People live in a world where every facet of life increasingly depends on big data and data science. This study creates awareness about the role of 3S encountered during big data quality by prioritizing using fuzzy AHP and PROMETHEE.

The competitiveness of mining regions largely depends on the performance of the regional supply chains that provide services to mining companies. These local supply chains are often highly intertwined and represent a regional supply network for the industry. Individual companies often use supply chain strategies that are sub-optimal to overall supply network performance. To effectively respond to an uncertain business environment, policy-makers and supply chain participants would benefit by a governance framework that would allow to incentivise the formation of supply networks structures enabling effective operations. The purpose of this paper is to offer an empirically grounded conceptual framework based on Complex Adaptive Systems (CASs) governance principles, which links network governance mechanisms with supply network structure and operational performance to incentivise the formation of adaptive and resilient supply networks in the mining industry.

A mixed method research design and a case study of the South Australian mining sector were used to collect empirical data. Qualitative interviews and network analysis of the SA mining industry regional supply network structure were conducted. The relationships between network parameters were interpreted using CAS theory.

An empirically grounded conceptual framework based on CAS governance principles is developed. The case study revealed that supply chain strategies and governance mechanisms in the SA mining industry have led to the formation of a hierarchical, scale-free structure with insufficient horizontal connectivity which limits the adaptability, responsiveness and resilience of the regional supply network.

The findings are drawn from a single case study. This limits generalisability of the findings and the proposed framework.

The proposed framework draws the attention of the policy-makers and supply chain participants towards the need for utilising CAS governance principles to facilitate the formation of adaptive, responsive and resilient regional supply networks in the mining industry.

The proposed conceptual framework is an attempt to parameterise the governance of the regional supply networks in the mining industry.

Intermediate short food supply chains (SFSC) have been presented as a possible solution to unsustainable global food supply chains. There is currently a knowledge gap about intermediate SFSC. Thus, this review synthesizes the available literature to identify prominent themes and their main considerations.

This research is based on a systematic literature review including peer-reviewed journal articles until December 2021. Inductive data coding resulted in the identification of four themes related to intermediate SFSC.

The identified themes illustrate the complex landscape intermediate SFSCs operate in and focus on the key relationships within these supply chains. The established relationships have implications for the governance of intermediate SFSCs. The organization of intermediate SFSCs affects numerous sustainability indicators.

Future research should focus on the position intermediate SFSCs have in food systems and the roles intermediaries have in intermediate SFSCs. There is furthermore an opportunity for researchers to investigate different types of intermediaries and explore the factors influencing them.

Creating sustainable food supply chains is one of the major societal challenges of today. The current state of the art suggests that intermediate SFSCs could play an important role in achieving this. So far, this area is underdeveloped and this review highlights knowledge gaps in the literature and suggestions for a future research agenda are proposed.

The sudden arrival of Covid-19 severely disrupted the supply chain of personal protective equipment (PPE) in Australia. This paper aims to examine the development of a geographical cluster, which, through the application of additive manufacturing (AM), responded to the PPE supply crisis.

This longitudinal case study focuses on an AM cluster, which was developed to supply PPE in a responsive and flexible manner from 2019/2020. The study gathered data over three stages of cluster evolution: pre, during and post-peak Covid-19.

The type and nature of exchanges between organizations involved in the cluster established important insights into success factors for cluster creation and development. Using an established complexity framework, this study identifies the characteristics of establishing a cluster. The importance of cluster alignment created initially by a common PPE supply goal led to an emerging commercial and relational imperative to address the longer-term configuration after the disruption.

Clusters can be a viable option for a technology-driven sector when there is a “buzz” that drives and rapidly diffuses knowledge to support cluster formation. This research identifies the structural, socio-political and emergent dimensions, which need to be considered by stakeholders when aiming at improving competitiveness using clusters.

Covid-19 has rapidly and unexpectedly disrupted the supply chain for many industries. Responding to challenges, businesses will investigate different pathways to improve the overall resilience including on-/near-shoring. The results provide insights into how clusters are formed, grow and develop and the differentiating factors that result in successful impacts of clusters on local economies.

This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.

Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.

The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.

Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.

The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.

This special “Anbar Abstracts” issue of the Journal of Product & Brand Management is split into ten sections covering abstracts under the following headings: Marketing strategy; Customer service; Pricing; Promotion; Marketing research; Product management; Channel management; Logistics and distribution; New product development; Purchasing.

The purpose of this paper is to examine the impact of a corporate ethical policy, such as a code of ethics, on the unethical behavior of internal and vendor employees in the supply chain in India. It also aims to find whether International Standards Organization (ISO) certification of vendors affects the result and any significant relationship between management commitment and unethical behavior can be supported by the findings as well.

Empirical analyses were conducted on a survey consisting of 43 questions comprising 181 valid responses. Multiple regression analysis that includes four independent variables – code of ethics, management commitment, supply chain principles and personal values taking unethical behavior as dependent variable – was used to find the significance of the relationship.

The implementation of a code of ethics, management commitment, supply chain principles and personal values all have a negative association with unethical behavior. Personal values, measuring a firm’s financial aspects for non-compliance to ethical behavior, have a positive association with unethical behavior. The relationships of top management commitment, personal values with internal employees’ unethical behavior are significant. The significant relationship between management commitment and unethical behavior can be supported by the findings as well. It was also found that ISO certificates and firm size as the control variables did not have any effect on the relationship between the independent variables and unethical behavior. The analysis also shows that ISO 26000 certificate, the international standard for socially responsible operations, does not impact this relationship.

Measuring substantial managerial effort for corporate social responsibility (CSR) practices by asking questions like, “how committed employees think top management is to social responsibility,” may not fully measure substantial managerial effort for CSR practices. To improve the results of the current study, future research can use the CSR index or disclosure as a measure to better reflect management commitment and practice for social responsibility. Second, the current study is limited to measuring how many occurrences of unethical behavior are witnessed by employees instead of what specific unethical behavior is more often witnessed. Considering India has the second largest population in the world, 181 responses may not represent the true practices in the business environment in India for generalization.

The findings suggest that management should put more of an emphasis on improving the commitment of upper-level managers to decrease the overall unethical practices of their employees. The study finds that employees’ personal values influence their ethical behavior. Therefore, communications and training of employees at all levels should emphasis on improving personal values.

Businesses should influence academics to incorporate personal value building in course curricula. The Indian CSR law should incorporate the holistic view of CSR taking care of needs of all stakeholders under the provision of the regulation. In 2015, India became the first country in the world to legislate CSR practices in corporations but it misses the opportunity to sensitize the management and employees on ethical practices as it mainly identified philanthropic expenses as mandatory CSR spending and silent on ethical business practices.

The present study contributes to the literature by bringing supply chain context to the effect of different factors on unethical behaviors and interaction of internal and vendor firms in terms of ethical practices. There are several studies on business ethics in different countries including China, but in the case of India similar studies are not much. The present study fills the gap.

Digital technologies (DTs) have emerged as a major driving force, transmuting the ways Supply Chains (SCs) are managed. The integration of DTs in supply chain management (SCM), Digital Supply Chain Management (DSCM), has fundamentally reshaped the SCM landscape, offering new opportunities and challenges for organizations. This chapter provides a comprehensive overview of modern DTs and the way they impact modern SCM. This chapter has twofold objectives. First, it illustrates the major changes that DTs have brought to the supply chain landscape, unraveling their multifaceted implications. Second, it offers readers a deeper and comprehensive understanding of the challenges and opportunities arising from the incorporation of DTs into supply chains. By going through the chapter, readers will be able to have a comprehensive grasp of how DTs are reshaping SCM and how organizations can survive and thrive in the digital age. This chapter commences by shedding light on how DTs have and continue to redefine SCM, improving supply chain resilience, visibility, and sustainability in an increasingly complex and interconnected world. It also highlights the role of DTs in enhancing SC visibility, agility, and customer-centricity. Furthermore, this chapter briefly highlights the challenges related to the adoption (pre and post) of DTs in SCM, elucidating on issues related to talent acquisition, data security, and regulatory compliance. It also highlights the ethical and societal implications of this digital transformation, emphasizing the significance of responsible and sustainable practices. This chapter, with the help of three cases, illustrates how the adoption of DTs in SC can impact the various SC performance indicators.

This special “Anbar Abstracts” issue of the International Journal of Physical Distribution & Logistics Management is split into eight sections covering abstracts under the following headings: Distribution and supply chain management; Logistics; Air/road/rail transport; Retail/wholesale; Freight and delivery services; International; Purchasing; Accounting.

This chapter introduces the volume’s theme by describing the challenges of sustainability in the agri-food industry and the critical role of agri-food supply chains. Following a description of traditional and sustainable supply chain management practices, we discuss the likely characteristics of sustainability-oriented innovations and how organizations pursuing higher levels of economic, social, and environmental performance will need to adapt their capabilities.

Drawing on the emerging concepts and practices from sustainable supply chain management as well as traditional and emerging concepts from innovation, we develop general propositions and expectations about how organizations might address sustainable effectiveness in their supply chains. The importance of the agri-food industry to all three pillars of sustainable effectiveness and predictions about the inability to feed future populations gives the discussion a certain urgency.

Sustainability-oriented innovations in the agri-food supply chain are different from traditional innovations. We develop propositions regarding the driving motivations, their nature and scope (i.e., more radical and systemic than incremental and focused), and the importance of a multi-stakeholder approach. The 10 cases presented in the volume are summarized.

Interest in the intersection of sustainability and supply chain resiliency has grown in recent years by managers and scholars. However, examples of how sustainability can improve resiliency are rare. The purpose of this article is to address this dearth of evidence by investigating how sustainable strategies and practices can create more robust supply chains that are resilient to global disruptions. A strategic model of resiliency is introduced based on the supply chain management practices at Dr. Bronner’s, a rapidly growing personal care product company. The case study data explores the relationship between sustainability and resiliency and reveals a potential pathway for companies to merge the two.

The chapter examines a comprehensive review of cross-disciplinary literature in the domain of supply chain forecasting during research period 1991–2017, with the primary aim of exploring the growth of literature from operational to demand centric forecasting and decision making in service supply chain systems. A noted list of 15,000 articles from journals and search results are used from academic databases (viz. Science Direct, Web of Sciences). Out of various content analysis techniques (Seuring & Gold, 2012), latent sementic analysis (LSA) is used as a content analysis tool (Wei, Yang, & Lin, 2008; Kundu et al., 2015). The reason for adoption of LSA over existing bibliometric techniques is to use the combination of text analysis and mining method to formulate latent factors. LSA creates the scientific grounding to understand the trends. Using LSA, Understanding future research trends will assist researchers in the area of service supply chain forecasting. The study will be beneficial for practitioners of the strategic and operational aspects of service supply chain decision making. The chapter incorporates four sections. The first section describes the introduction to service supply chain management and research development in this domain. The second section describes usage of LSA for current study. The third section describes the finding and results. The fourth and final sections conclude the chapter with a brief discussion on research findings, its limitations, and the implications for future research. The outcomes of analysis presented in this chapter also provide opportunities for researchers/professionals to position their future service supply chain research and/or implementation strategies.

The topic of Lean Six Sigma (LSS) implementation in a supply chain context is an emerging research stream comprising of diverse objectives and complex processes thereby presenting opportunities for further exploration and organizational process improvement. Thus, this study proposes an integrated multi-criteria decision-making methodology to determine what can facilitate the successful implementation of LSS as an organizational change strategy in the manufacturing supply chain.

The proposed methodology based on Decision-Making Trial and Evaluation Laboratory and hierarchical Evaluation Based on Distance to Average Solution is employed to ascertain the relative importance and priorities of an identified framework of factors with the aid of opinions of managers in the Nigerian plastics industry.

The results show a high significance of institution-based factors (e.g. government regulations) and present relevant implications to the policymakers as well as the managers and practitioners of the plastics manufacturing industry.

This study indicates a possible pathway to accurately evaluate a framework of critical factors to integrate and institutionalize LSS in the manufacturing supply chain for organizational performance improvement.

The evaluation of readiness provides insight into the readiness of its individual components for successful accomplishment of tasks. This study aims to evaluate readiness in leagility of supply chains based on the design and analysis of fuzzy cognitive maps (FCM) and interpretive structural modeling (ISM).

On the basis of the purpose of this study, data are gathered via the Delphi method. Moreover, FCM and ISM are also used to evaluate readiness.

Findings initially demonstrate a categorization of factors influencing leagility into static and dynamic variables according to the degree of their influence derived from the resultant behavior of FCM and ISM. It is also found that evaluating readiness in leagility of supply chains with ISM and FCM was done with respect to the type and role of the study variables, which were determined within the minimum and maximum ranges of 20 to 100 per cent, respectively.

The evaluation of the readiness using the FCM and ISM is proved to be more efficient than other classical methods. Experimental results of the study contribute to improve readiness of leagility of supply chain as well as develop functional areas of business.

To better understand the supplier's role in promoting supply chain sustainability (SCS), the authors investigated the learning process as it relates to sustainability knowledge. Through the lens of the knowledge-based view, they understand the shift of sustainability knowledge from rhetoric to common knowledge existent between suppliers and buyers.

A case study method was employed to study sustainability knowledge learning between a key global coffee supplier and its geographically dispersed buyers. The research was developed with data collected from 2019 through 2021. Interviews and secondary data were analyzed using both deductive and inductive approaches.

Results were organized to demonstrate how the supplier developed and transferred its own sustainability knowledge within supplier–buyer dyads. The authors uncovered that buyer selection was a vital strategy used to appropriate the value created to ensure SCS learning. Four learning stages were analyzed, and while the results indicated that all buyers acquired knowledge, they also showed that only four distributed it. Moreover, different levels of interpretation were identified, two of which were associated with a low level of understanding of the meaning of sustainability knowledge. In addition, the data provided little evidence of organizational memory. All links were guided by common sustainability knowledge learned through multiple learning loops between the supplier's knowledge management and buyers' SCS learning, thus boosting sustainability in the coffee supply chain.

A greater understanding of how sustainability knowledge is learned in supply chains helps managers develop better SCS strategies.

Unlike previous research, this paper illustrates that common sustainability knowledge is key to SCS implementation, which is made possible by carefully selecting buyers and by facilitating sustainability knowledge learning through two-way interactions.

In most economies, there are rules from the market regulators or government to sell at an equal wholesale price (EWP). But when one upstream channel is facing a negative demand disruption and another positive, EWP can create extra pressure on the disadvantageous supply chain partner, which faces negative disruption. The purpose of this study is to analyse the impact of EWP and the scope of the discriminatory wholesale price (DWP) during disruptions.

For the study, the authors used a dual-channel supply chain consisting of a manufacturer, online retailer (OR) and traditional brick-and-mortar (BM) retailer. Stackelberg game is used to model the interaction between the upstream and downstream channel partners, and the horizontal Nash game to analyse the interaction within downstream channel partners. For modelling asymmetric disruption, the authors took instances from the lock-down and post-lock-down periods of the COVID-19 pandemic, where consumers flow from BM retailer to OR store.

By analysing the disruption period, the authors found that this asymmetric disruption is detrimental to the BM channel, favourable to OR and has no impact on the manufacturer. But with DWP, the authors found that the profit of the BM channel and manufacturer can be increased during disruption. Though the profit of the OR decreased, it was found to be higher than in the pre-disruption period. Under DWP, the consumer surplus increased during disruption, making it favourable for the customers also. Thus, DWP can aid in creating a win-win strategy for all the supply chain partners during asymmetric disruption. Later as an extension to the study, the authors analysed the impact of the consumer transfer factor and found that it plays a crucial role in the optimal decisions of the channel partner during DWP.

Very scant literature analyses the intersection of DWP and disruptions. To the best of the authors’ knowledge, this study, for the first time uses DWP as a tool to help the disadvantageous supply chain partner during asymmetric disruptions. The study findings will assist the government, market regulators and manufacturers in revamping the wholesale pricing policies and strategies to help the disadvantageous supply chain partner during asymmetric disruption.