An interpretive structural modeling of drivers and barriers of sustainable supply chain management

2020 ◽  
Vol 31 (5) ◽  
pp. 1071-1090 ◽  
Author(s):  
Gunjan Soni ◽  
Surya Prakash ◽  
Himanshu Kumar ◽  
Surya Prakash Singh ◽  
Vipul Jain ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Practices ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Stone Industry

PurposeThe Indian marble and stone industry has got the potential to contribute well to the development of the emerging economy. However, unlike the other Indian industries, stone and marble industries are highly underrated sectors, which may become a critical factor for development. This paper analyses the sustainability factors in supply chain management practices.Design/methodology/approachA literature review is used to identify the barriers and drivers in sustainable supply chain management practices. Interpretive structural modeling has been used to obtain a hierarchy of barriers and drivers along with driving power and dependence power analysis. Further, MICMAC analysis is used for segregating the barriers and drivers in terms of their impact on sustainability.FindingsThe findings of the work of this research are that the attention of society, government, and commercial banks should be more toward the unorganized condition of stone and marble sector. There should be an increase in the commitment of stakeholders to reduce pollution and install safety, by enforcing more relevant laws and regulations and creating the importance of environmental awareness.Originality/valueThe main contribution of this research is to identify the barriers and drivers of sustainable supply chain management in a stone and marble industry. The paper proposes a sound mathematical model to prioritize the critical factors for responsible production and consumption of resources from sustainability perspectives of stone industry.

Sustainable Supply Chain Management Practices in Petrochemical Industry Using Interpretive Structural Modeling

2019 ◽  
Vol 12 (1) ◽  
pp. 22-50 ◽  
Author(s):  
Maryam Mohseni ◽  
Ali Abdollahi ◽  
Seyed Hossein Siadat
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Petrochemical Industry ◽  
Management Practices ◽  
Structural Modeling ◽  
Vital Role ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Sustainable Supply Chain Management

Across different geographical and industrial boundaries, different firms are attempting to implement sustainability in their supply chain in response to pressures from different groups. This article aims at identifying and analyzing influential practices for implementing sustainable supply chain management (SSCM). By determining these practices, top management can focus on them in order to improve the performance of their supply chains. The petrochemical industry was selected because of its role in the Iranian economy and its considerable environmental and social impacts. The interpretive structural modeling (ISM) technique was used as a useful technique to identify interrelations between different sustainable practices. According to the results, set up reduction and pull production system (related to JIT practices) are driving other practices, and these practices have vital role among other practices. There are four practices related to evaluating and collaborating suppliers and other industry peers, which occupy the highest level.

Barriers to sustainable supply chain management implementation in Egyptian industries: an interpretive structural modeling (ISM) approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Esraa Osama Zayed ◽  
Ehab A. Yaseen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Structured Model ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

PurposeRecently, sustainability aspects are gaining importance among supply chain management (SCM) research field, hence this study aims to explore barriers to sustainable supply chain management (SSCM) implementation in Egyptian industries and the interrelationships among these barriers to provide a structured detailed model for barriers and suggest recommendations to deal with these barriers.Design/methodology/approachThe paper is an empirical study with a descriptive research approach using qualitative methodology. Data were collected through interviewing experts involved in sustainability implementation within supply chain functions. Afterward interpretive structural modeling (ISM) for barriers was conducted to develop a structured model representing possible interrelationships between barriers.FindingsFindings have reported slight differences among barriers to SSCM implementation in Egyptian industries other than those stated previously. ISM analysis helped in shaping barriers into a detailed structured model where interrelationships among barriers can be clearly defined. Additionally, based on the data collected and the ISM model, this study managed to offer recommendations to deal with these barriers.Research limitations/implicationsFuture researches might consider developing ISM analysis for a smaller number of barriers, or focus on each of internal and external barriers individually to minimize ISM analysis complexity and enhance its accuracy. As ISM analysis technique is highly dependent on experts' opinions and experience, validation is highly recommended either by structural equation modeling (SEM) or linear structural relationship approach.Practical implicationsThis study provides insights for managers about internal and external barriers to SSCM implementation in Egyptian industries, a detailed structured model for interrelationships among these barriers and recommendations to deal with these barriers.Originality/valueThis study is one of the very first studies to implement ISM for barriers to SSCM on data collected from Egyptian industries. Consequently, it will direct further research focusing on developing strategies or recommendations to overcome these barriers.

A three-dimensional framework for multi-tier sustainable supply chain management

2018 ◽  
Vol 23 (6) ◽  
pp. 560-572 ◽  
Author(s):  
Philipp C. Sauer ◽  
Stefan Seuring
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Institutional Theory ◽  
Demand Uncertainty ◽  
Management Practices ◽  
Three Dimensional ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

Purpose This study aims to investigate the under-researched role of the sub-supplier’s direct environment in achieving compliance with multi-tier sustainable supply chain management (MT-SSCM) objectives. Design/methodology/approach Building on conceptual research, this study aims to generalize the characteristics of multi-tier supply chains in light of institutional theory and supply chain (SC) uncertainty to enhance the understanding of their complex interrelationship. Findings A three-dimensional framework is built around the supply and demand uncertainty as well as the pressures for sustainability exerted by the supplier’s direct environment to propose ideal constellations for the application of MT-SSCM. Moreover, research directions and implications for the alteration of suboptimal constellations are developed. Practical implications Incorporating the supplier’s environment in the choice of MT-SSCM practices couples the sustainability priorities of the focal firm and the supplier. This enables a more complete picture of the sustainability objectives and sustainable development aims of the SC partners. Originality/value On the basis of institutional theory, the study extends current MT-SSCM concepts by including the supplier’s direct environment in the choice of ideal management practices in a particular SC setup. It provides a definition of a multi-tier SC as an institutional field and a number of research implications regarding MT-SSCM as well as generic SSCM. Moreover, the proposed framework helps SC managers to understand the complex interplay of the SC partners’ sustainability aims and provides implications for choosing the most suitable MT-SSCM practices.

An ISM approach for the barrier analysis in implementing sustainable supply chain management

2017 ◽  
Vol 55 (8) ◽  
pp. 1824-1850 ◽  
Author(s):  
Mahmood Movahedipour ◽  
Jianqiu Zeng ◽  
Mengke Yang ◽  
Xiankang Wu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Qualitative Analysis ◽  
Matrix Multiplication ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

Purpose Sustainability has been on the executive agenda for years and it is now one of the fastest growing supply chain management trends. The purpose of this paper is to analyze the barriers for the adoption and implementation of the sustainable supply chain management (SSCM) concept. Design/methodology/approach This study has been divided into two phases such as identification of barriers and qualitative analysis. First, to identify the most influential barriers, the authors offer a systematic literature review, taking 188 papers published from 2010 to November 2016 into account. The investigation phase led to the selection of 15 barriers based on the literature in consultation with industrial experts and academicians. Second, the interpretive structural modeling qualitative analysis was used to find out the mutual influences between the 15 barriers by a survey. Findings Further, the authors propose and illustrate the cross-impact matrix multiplication applied to classification analysis to test a framework that extrapolates SSCM barriers and their relationships. “Inadequate information technology implementation” has been identified as the most important barrier that may force organizations to implement SSCM practices to ensure their business sustainability. Research limitations/implications The authors presented some limitations in their research in some fields which could allow new researchers and practitioners to conduct the future research to grow in different dimensions. Practical implications Practitioners or policymakers usually are not familiar with these types of research works; that is why most of these surveys remain theoretical and conceptual. Future investigation needs to be done in practical application domain instead of merely giving opinions. Originality/value Based on the authors’ research, the researchers have more attention to work in conceptual analysis due to other fields, but the authors believe that even with the implementation of SSCM, many remarkable areas still exist for future research which could help in development. The authors also provide more details in this paper.

Squaring the circle

2014 ◽  
Vol 19 (3) ◽  
pp. 292-305 ◽  
Author(s):  
Johanne Grosvold ◽  
Stefan U. Hoejmose ◽  
Jens K. Roehrich
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Management Practices ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Sustainability Performance ◽  
Tightly Coupled

Purpose – The purpose of this study is to evaluate the relationships between management, measurement and performance of sustainability in supply chains. The authors develop a framework which explores these links through decoupling as articulated by the institutional theory. They draw on a conceptual continuum of reactive-proactive sustainable supply chain practices and identify clusters of companies along these dimensions and evaluate the theoretical and managerial implications of this for sustainability performance. Design/methodology/approach – This study uses primary and secondary datasets from 12 inductive, multiple case studies across different industries. This method ensures that we are better able to encapsulate a broader and more diverse set of practices and settings which in turn adds robustness to the theory we induced from our findings. Findings – The authors find varying degrees of alignment between management practices and measurement systems of sustainable supply chains. Some firms better align their sustainable supply chain management and measurement practices than others, resulting in tighter coupling and ultimately improved sustainability performance in the supply chain. Research limitations/implications – Further research may explore the conditions under which firms decouple their practices and the contextual settings that are associated with decoupling, loosely and tightly coupled alignment. Additionally, the conceptual framework should be tested across countries, industries and different relationships between public and private organisations. Originality/value – This is one of the first empirical explorations of the decoupling theory and the reactive-proactive continuum in sustainable supply chain management.

scholarly journals An Application of Interpretive Structural Modeling In Sustainable Supply Chain Management

2019 ◽  
Vol 9 (1) ◽  
pp. 434-441
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Social Impact ◽  
Structural Model ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Domain Experts

The advent of globalization in the market has led to huge competition among the companies in various fields to achieve best supply chain practices. Increasing focus on environmental concerns has driven critical changes in industries’ strategy by incorporating sustainability in their supply chain. A supply chain which does not threaten the opportunities for future generations by considering environmental and social impact in addition to the economic impact leads to the concept of Sustainable Supply Chain Management (SSCM). Firms adopt sustainability by implementing specific practices - named as SSCM practices, in supply chain. However they struggle to identify the influential practices.This Paper intends to analyze the SSCM practices in plywood Industries in Visakhapatnam using Interpretive Structural Modeling (ISM). ISM method is used to develop a structural model to identify the influential practices. The SSCM practices are identified through literature review and from domain experts and managers of industries. Then practices are grouped under the dimensions of sustainability namely economic, environmental and social. And ISM model is built through which the most dominant practice among them in each dimension is identified.

Interpretive Structural Modeling-based Framework for Analysis of Sustainable Supply Chain Management Enablers: Indian Thermal Power Plant Perspective

2018 ◽  
Vol 1 (1) ◽  
pp. 34-56
Author(s):  
Jitendra Narayan Biswal ◽  
Kamalakanta Muduli ◽  
Suchismita Satapathy ◽  
Devendra K. Yadav ◽  
John Pumwa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Thermal Power ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
The Impact ◽  
Interpretive Structural Model

Indian thermal power industries, being perceived as the most polluting, are experiencing tremendous pressure to implement sustainable supply chain practices. In this light, the purpose of this article is to explore the factors that initiate sustainable supply chain management (SSCM) adoption in Indian thermal power industries and understand the interrelationship existing among them. Interpretive structural modeling (ISM) technique is employed to extract the structural relationship existing among the SSCM enablers and portray the same through a hierarchical model. Further, MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement) analysis has been employed to classify the enablers by taking their driving and dependence power as a measure. Eleven SSCM enablers have been explored through an extensive review of the literature. The interpretive structural model of selected enablers indicates that SSCM adoption in thermal power plants is mainly due to “pressure from environmental advocacy groups” and “government policies and employee pressure”. Prior knowledge of these influential factors and their interdependence will help the decision makers to develop suitable strategies that would enable the organizations to reduce the impact of barriers while optimizing the benefits derived from the enablers.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

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.

Sustainable supply chain management

2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Balanced Scorecard ◽  
Evaluation Model ◽  
Corporate Sustainability ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Fuzzy Delphi

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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