scholarly journals Implementing Sustainable Supply Chain Management: Reactive, Cooperative, and Dynamic Models

2019 ◽  
Vol 11 (24) ◽  
pp. 7227 ◽  
Author(s):  
Dominik Zimon ◽  
Jonah Tyan ◽  
Robert Sroufe

The purpose of this research is to propose a Sustainable Supply Chain Management (SSCM) implementation framework grounded in a literature review while categorizing practices adopted by firms’ and industries. Given the evolution of the SSCM field and emerging trends, we examine why and how companies implement SSCM practices within a country context. The research methods employed in this study include theory building from a review of the literature and synthesis of insights regarding the design of SSCM implementation frameworks using multiple cases in Taiwan. The review of the literature, content analysis, and findings provide new insights into designing an implementation model, and generalizable models for reactive, cooperative, and dynamic SSCM implementation. Practical implications include but are not limited to the generalization of implementation frameworks in supply chain management, and opportunities to improve global practices. Our development of the conceptual framework complements existing theory by offering new knowledge on SSCM implementation practices. This study can help guide research, practitioners, and policymakers in future sustainability and supply chain management initiatives.

2019 ◽  
Vol 14 (4) ◽  
pp. 1006-1022 ◽  
Author(s):  
Deepak Mathivathanan ◽  
K. Mathiyazhagan ◽  
A. Noorul Haq ◽  
Vishnu Kaippillil

Purpose Sustainable supply chain management (SSCM) concepts have received immense attention in the recent past in both academia and industries. Especially, manufacturing industries in developing countries realize the importance of adopting sustainability concepts in their supply chain. The SSCM adoption has not been to the same level across different manufacturing sectors and hence a single implementation framework will not have the same effect across sectors. This paper aims to compare the adoption level of 25 SSCM practices across three major manufacturing sectors, namely, automobile, electronics and textile, in an emerging economy, India. Design/methodology/approach A questionnaire-based data collection technique is used to obtain adoption levels of each of the identified SSCM practices on a five-point Likert-type scale with “1” representing not considering presently to “5” indicating successful implementation. Second, a hypothesis is framed and tested to compare the adoption levels across sectors using a one-way single-factor ANOVA followed by a post hoc test by Tukey’s test. Findings The results derived suggest that though the industries across different sectors are in the course of adopting SSCM practices, the level of adoption is found to be not the same. The textile sector has adopted the least, and the electronic sector edges ahead of the automobile sector in terms of successful transformation to SSCM. Originality/value This study focuses on the differences and similarities in the adoption of policies in the automobile, electronics and textile sectors using statistical data analysis tools. A total of 25 individual practices are identified from existing literature and classified into six groups, namely, management, supplier, collaboration, design, internal and society, based on their similarities. Based on a detailed questionnaire survey with industrial experts in relevant fields as respondents, the adoption levels of practices are rated individually and categorically.


2021 ◽  
Vol 13 (8) ◽  
pp. 4409
Author(s):  
Zhiwen Su ◽  
Mingyu Zhang ◽  
Wenbing Wu

Sustainable supply chain management (SSCM) has been attracting extensive attention from both practitioners and scholars. The main objective of this paper is to visualize and conduct a systematic scientometric review on 9151 articles and reviews published from 2007 to 2021. Research techniques of co-author analysis, co-word analysis, and co-citation analysis are applied to reveal the social structure, conceptual structure, and intellectual structure of the SSCM field, identify main concepts and research hotspots, and illuminate major specialties and emerging trends. The results of this work show that: (1) the top five most productive scholars are Joseph Sarkis, Kannan Govindan, Minglang Tseng, Angappa Gunasekaran, and Charbel Jose Chiappetta Jabbour. The top five most productive institutions are Hong Kong Polytech University, Islamic Azad University, University of Southern Denmark, Dalian University of Technology, and University of Tehran. (2) The main concepts include sustainable supply chain management, green supply chain management, circular economy, corporate social responsibility, and reverse logistics. The research hotspots of the SSCM field, currently, are game theory and circular economy related topics. (3) The leading researchers and influential journals are also identified. The emerging trends include sustainable supplier selection, circular economy, cap-and-trade regulation, blockchain technology, big data analytics, the COVID-19 pandemic, and the best-worst method and logistics performance. Finally, limitations and future researches are discussed. We expect this paper will show a big picture of the SSCM field for researchers as well as practitioners.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.


2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.


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