Nan Chen, Jianfeng Cai, Devika Kannan and Kannan Govindan
The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the…
Abstract
Purpose
The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.
Design/methodology/approach
This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.
Findings
This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.
Originality/value
This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.
Details
Keywords
Marcelo Wilson Furlan Matos Alves, Ana Beatriz Lopes de Sousa Jabbour, Devika Kannan and Charbel Jose Chiappetta Jabbour
Drawing on the theory of contingency, the aim of this work is to understand how supply chain-related contingencies, arising from climate change, are related to changes in the…
Abstract
Purpose
Drawing on the theory of contingency, the aim of this work is to understand how supply chain-related contingencies, arising from climate change, are related to changes in the organisational structure of firms. Further, the authors explore how this relationship influences the perception of sustainability managers on the adoption of low-carbon operations management practices and their related benefits.
Design/methodology/approach
To achieve this goal, this research uses NVivo software to gather evidence from interviews conducted with ten high-level managers in sustainability and related areas from seven leading companies located in Brazil.
Findings
The authors present four primary results: a proposal of an original framework to understand the relationship between contingency theory, changes in organisational structure to embrace low-carbon management, adoption of low-carbon operations practices and benefits from this process; the discovery that an adequate low-carbon management structure is vital to improve the organisations’ perceptions of potential benefits from a low-carbon strategy; low-carbon management initiatives tend to emerge from an organisation’s existing environmental management systems; and controlling and monitoring climate contingencies at the supply chain level should be permanent and systematic.
Originality/value
Based on the knowledge of the authors, to date, this work is the first piece of research that deals with the complexity of putting together contingency theory, climate-change contingencies at the supply chain level, organisational structure for low-carbon management and low-carbon operations management practices and benefits. This research also highlights evidence from an emerging economy and registers future research propositions.
Details
Keywords
Kannan Govindan, Devika Kannan and A. Noorul Haq
The purpose of this paper is to present an approach to identify and rank the criteria used for the supplier development using interpretative structural modeling (ISM).
Abstract
Purpose
The purpose of this paper is to present an approach to identify and rank the criteria used for the supplier development using interpretative structural modeling (ISM).
Design/methodology/approach
The paper develops a framework to analyze the interactions among the criteria such as competitive pressure, evaluation and certification system, incentives, supplier development programs, inter‐organizational communication, buyer‐supplier relationship, supplier commitment, supplier performance, asset specificity, joint action, trust, long‐term strategic goals, top management support, purchasing performance, and supplier strategic objective for the supplier development using ISM. The developed framework is illustrated using a case study taken in an automobile firm.
Findings
The paper contributes to research in supply chain management (SCM) and particularly in supplier development. Research in the area of SCM has intensified in recent years for a number of reasons. Managers have now realized that actions taken by one member of the chain can influence the responsiveness, efficiency and profitability of the complete supply chain. Firms are increasingly thinking in terms of competing as part of a supply chain against other supply chains, rather than as a single firm against other individual firms.
Research limitations/implications
Since the proposed framework is applied for only a single company, further studies can be done using the same framework for several companies in India. This will provide a better understanding of how the variables that influence supplier development are affected in different types of industry.
Practical implications
Managers can use the proposed framework to develop better relationships with suppliers and to create management responses that influence and improve their relationships with them.
Originality/value
This paper uses 15 criteria to propose a framework for the supplier development and also finds the interactions between the criteria which influence the most and the least to improve the relationship with the suppliers.
Details
Keywords
Deepak Datta Nirmal, K. Nageswara Reddy and Sujeet Kumar Singh
The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various…
Abstract
Purpose
The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).
Design/methodology/approach
The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.
Findings
The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.
Originality/value
The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.
Details
Keywords
Imnatila Pongen, Pritee Ray and Rohit Gupta
Rapid innovation and developments in personal electronic technology have encouraged users to change users' devices more frequently than ever, which has resulted in creating a…
Abstract
Purpose
Rapid innovation and developments in personal electronic technology have encouraged users to change users' devices more frequently than ever, which has resulted in creating a massive increase in the amount of electronic waste. The study focuses on identifying the barriers to closed-loop supply chain (CLSC) in the electronic industry.
Design/methodology/approach
A framework for analyzing the relationships among CLSC adoption barriers is designed. The authors adopted the decision-making trial and evaluation laboratory (DEMATEL) technique to determine the critical barriers of electronic CLSC from the opinion of experts in the field.
Findings
The outcome from the analysis suggests that cost barriers, financial barrier, process barriers and supplier-side barriers are the main causal factors that prevent the adoption and implementation of e-waste CLSC. The causal relationship indicates that financial barrier is the most influential factor, while phycological barrier is the most flexible barrier to the adoption of e-waste CLSC.
Research limitations/implications
This study is restricted to CLSC adoption barriers in the electronic industry by evaluating 36 sub-barriers grouped into 8 main dimensions related to different members of the supply chain.
Practical implications
Closed-loop adoption barriers have been proposed to understand the crucial barriers to implementation of CLSC in the electronic industry. The cause-and-effect relationship indicates the critical factors to be improved to increase adoption of e-waste CLSC, helping managers and regulatory bodies to mitigate the problem areas.
Originality/value
This study contributes to the literature on CLSC by adopting a multi-criteria decision-making (MCDM) technique which captures the critical barriers of e-waste CLSC adoption in Indian scenario.
Details
Keywords
Ahmad Ali Almohtaseb, Mohmmad Adnan Yousef Almahameed, Hisham A. Kareem Shaheen and Mohammad Haroon Jarrar Al Khattab
The purpose of this paper is to formulate a model for developing, implementing and evaluating performance management systems in Jordan public universities that will ensure the…
Abstract
Purpose
The purpose of this paper is to formulate a model for developing, implementing and evaluating performance management systems in Jordan public universities that will ensure the successful achievement of their set goals in the competitive dynamic environment.
Design/methodology/approach
This is a conceptual paper that focuses on the model for developing, implementing and evaluating performance management systems by public universities in developing countries.
Findings
As the focus is on a conceptual model for performance management systems in public universities in developing country, it is yet to be empirically tested.
Research limitations/implications
The conceptual model is limited to developing, implementing and evaluating performance management systems by public universities in developing countries.
Practical implications
The implementation and evaluation of performance management systems by public universities in Jordan and developing countries will ensure successful achievement of their set goals in the competitive dynamic environment.
Originality/value
The originality of the paper lies in its methodology. In this paper, an innovative conceptual model is proposed for developing, implementing and evaluating performance management systems by public universities in developing countries.
Details
Keywords
Mohammadreza Akbari and Robert McClelland
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
Details
Keywords
Srichandan Sahu and K.V.S.S. Narayana Rao
To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a…
Abstract
Purpose
To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a taxonomy of the subject areas researched in India.
Design/methodology/approach
The present study employed the systematic literature review methodology. Literature from 395 peer journal papers in 67 leading journals over a 20-year period (2000–2020 Quarter-1) was comprehensively reviewed and assessed.
Findings
SCM research in India started around the year 2000. The quantum of research was low (single digit) until 2010. There has been steady growth over the last decade, and over 50% of the total papers up until now has been published in the last four years. The present study created a three-tiered taxonomy of the subject areas and classified the papers as per it. The first tier (level-1) has seven categories (SCM strategy, network design, SCM processes and integration, IT systems, skills, performance measurement and others). A perusal of the newly created taxonomy revealed that, except for a few areas under level-1 categories (such as SCM processes and SCM strategy), the other level-1 categories have not seen much research. Similarly, there is little or no research in a large number of level-2 categories (such as outsourcing strategy, channel strategy, demand management, demand fulfillment, customer relationship management, integrated supply chain planning, new product development, returns, supply chain orientation, performance monitoring, performance improvement, SCM adoption process, SCM implementation issues and quantified benefits of SCM). Methodologically, the rigor of SCM research in India needs improvement.
Originality/value
A comprehensive taxonomy of SCM subject areas researched in India at three cascading levels was created for the first time in the present study. The taxonomy will help provide researchers with a clear understanding of the structure of the subject areas and help in identifying areas where research has been carried out and the subject areas where gaps exist for future research to proceed. The present study also provides an overview of the methodological rigor of SCM research in India and points out some of the limitations that researchers should avoid in future studies.
Details
Keywords
Gunjan Soni, Vipul Jain, Felix T.S. Chan, Ben Niu and Surya Prakash
It is worth mentioning that in supply chain management (SCM), managerial decisions are often based on optimization of resources. Till the early 2000s, supply chain optimization…
Abstract
Purpose
It is worth mentioning that in supply chain management (SCM), managerial decisions are often based on optimization of resources. Till the early 2000s, supply chain optimization problems were being addressed by conventional programming approaches such as Linear Programming, Mixed-Integer Linear Programming and Branch-and-Bound methods. However, the solution convergence in such approaches was slow. But with the advent of Swarm Intelligence (SI)-based algorithms like particle swarm optimization and ant colony optimization, a significant improvement in solution of these problems has been observed. The purpose of this paper is to present and analyze the application of SI algorithms in SCM. The analysis will eventually lead to development of a generalized SI implementation framework for optimization problems in SCM.
Design/methodology/approach
A structured state-of-the-art literature review is presented, which explores the applications of SI algorithms in SCM. It reviews 56 articles published in peer-reviewed journals since 1999 and uses several classification schemes which are critical in designing and solving a supply chain optimization problem using SI algorithms.
Findings
The paper revels growth of swarm-based algorithms and seems to be dominant among all nature-inspired algorithms. The SI algorithms have been used extensively in most of the realms of supply chain network design because of the flexibility in their design and rapid convergence. Large size problems, difficult to manage using exact algorithms could be efficiently handled using SI algorithms. A generalized framework for SI implementation in SCM is proposed which is beneficial to industry practitioners and researchers.
Originality/value
The paper proposes a generic formulation of optimization problems in distribution network design, vehicle routing, resource allocation, inventory management and supplier management areas of SCM which could be solved using SI algorithms. This review also provides a generic framework for SI implementation in supply chain network design and identifies promising emerging issues for further study in this area.
Details
Keywords
M. Ali Ülkü, Dawne M. Skinner and Gonca Yıldırım
The earth’s carrying capacity cannot withstand the pace of consumption resulting from current economic models, mainly the linear economy (LE) built on a throwaway culture. In the…
Abstract
The earth’s carrying capacity cannot withstand the pace of consumption resulting from current economic models, mainly the linear economy (LE) built on a throwaway culture. In the last few decades, the concept of a circular economy (CE), aiming to design waste out of the economy and mimic ecosystems, emerged as a strong alternative to LE. Being at the heart of the economic landscape, supply chains (SCs) need to respond to the necessary shift to CE. In so doing, the planning and execution of circular supply chains (CSCs) require a broader comprehension of CE and more sophisticated and large-scale analytical decision models. This chapter surveys extant literature on available best practices and quantitative models for sustainable supply chains (SSCs) and offers a new definition of CSC. Mapping on the knowledge extracted from this classification, potential gaps and strengths in the literature are identified. Key research papers on the “closed-loop” and “open-loop” ends of CSCs are highlighted. Challenges in developing CSC performance indicators and prescriptive models are emphasized.