scholarly journals An interpretive structural modeling approach to enablers of green supply chain management on construction projects

2021 ◽  
pp. 73-82
Author(s):  
Benedict Amade
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Construction Projects ◽  
Structural Modeling ◽  
Government Support ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
The Relationship

The objective of this study is to understand and evaluate the interactions of the Green Supply Chain Management enablers from a construction project's perspective in Imo State, Nigeria. This paper discusses the mix of practical intuition and determination through an interpretive structural modeling (ISM)-driven methodology. Eight (8) enablers were identified from a literature review, expert consultation, and real-world examples. While Matrice d’Impacts croisesmultipication applique a classement analysis (MICMAC) was used to identify dependence and driving power, it was used as a way to understand the relationship between the enablers. The study found that strong, yet fragile, forces drive GSCM adoption, with enhanced awareness of GSCM, increased market appeal for green construction projects, and government support through incentives and tax rebates.

Green Supply Chain Management Model for Sustainable Manufacturing Practices

2017 ◽  
pp. 153-189 ◽  
Author(s):  
Surajit Bag ◽  
Neeraj Anand ◽  
Krishan Kumar Pandey
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Green Supply Chain Management ◽  
Management Model ◽  
Green Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
The Relationship

The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.

AN INNOVATIVE APPROACH TO EVALUATE GREEN SUPPLY CHAIN MANAGEMENT (GSCM) DRIVERS BY USING INTERPRETIVE STRUCTURAL MODELING (ISM)

2011 ◽  
Vol 08 (02) ◽  
pp. 315-336 ◽  
Author(s):  
MINHAJ AHEMAD ABDUL REHMAN ◽  
RAKESH L. SHRIVASTAVA
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Manufacturing Process ◽  
Structural Modeling ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Business Organizations ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Regulatory Pressure

Green supply chain management (GSCM) comprises of the Manufacturing process that minimizes waste and pollution. It also integrates environmental thinking into supply chain management; from conceptual product design to the delivery of final product to the consumers, and also involves end-of-life management. Many business organizations have implemented GSCM and many more are in the process to put into practice. Its implementation is supported by few factors which are known as GSCM drivers. These drivers could assist in adoption of Green supply chain management. The aim of this paper is to develop a relationship amongst the identified GSC drivers; including management commitments, regulatory pressure etc. This paper is also helpful in understanding mutual influences of drivers, it helps in identifying those drivers which support other drivers as well as those drivers which are most influenced by other drivers (dependent) using interpretive structural modeling (ISM) and it classifies these drivers depending upon their driving and dependency on power.

Establishment of Green Supply Chain Management in Steel Industries Using Interpretive Structural Modeling

2019 ◽  
Vol 18 (4) ◽  
pp. 363-374
Author(s):  
Rajesh Kumar ◽  
Shiena Shekhar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Modeling ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Multi Criteria Decision Making ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Steel Industries

Abstract The state of Chhattisgarh in India has a very large number of steel plants causing pollution in the region. The effect of this pollution exceeds the geographical territory of a unit, and goes much beyond it, so it becomes essential to find the reasons for the pollution and the enablers for the green supply chain management, which in turn will help in providing a cleaner environment. In this study Multi-Criteria Decision Making (MCDM) tools like Interpretive Structural Modeling and MICMAC analysis have been used.

Green Supply Chain Management Model for Sustainable Manufacturing Practices

2019 ◽  
pp. 125-152
Author(s):  
Surajit Bag ◽  
Neeraj Anand ◽  
Krishan Kumar Pandey
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Green Supply Chain Management ◽  
Management Model ◽  
Green Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
The Relationship

The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.

scholarly journals CORPORATE PROFILE, PERFORMANCE AND GREEN SUPPLY CHAIN MANAGEMENT: A RESEARCH AGENDA

2017 ◽  
Vol 18 (3) ◽  
pp. 117-146
Author(s):  
FÁBIO YTOSHI SHIBAO ◽  
GERALDO CARDOSO DE OLIVEIRA NETO ◽  
FLAVIA CRISTINA DA SILVA ◽  
EDUARDO CABRINI POMPONE
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Economic ◽  
Green Supply Chain Management ◽  
Operational Performance ◽  
Green Supply Chain ◽  
Chain Management ◽  
Depth Analysis ◽  
And Performance ◽  
The Relationship

ABSTRACT Purpose: To evaluate the universe of published articles that propose frameworks about the relationship between green supply chain management (GSCM) and performance in the period from 1995 to 2014, in order to propose a conceptual model that can be applied to future studies, considering the green profile besides the practices of GSCM and performance. Originality/gap/relevance/implications: The investigation revealed a lack of relationship among the organizations' profile, its environmental, economic and operational performance and GSCM practices. Key methodological aspects: The relationship among constructs was established through bibliometric analysis obtained in the models/frameworks of GSCM practices and performance extracted from the databases "ProQuest", "EBSCO", "JSTOR", "Web of Science" and "Scopus". Further, the content analysis and network analysis were then performed. Summary of key results: GSCM internal and external practices, environmental performance, economic performance and operational performance were revealed as main topics addressed in GSCM. Moreover, it was noted that studies on internal practices prevailed over those addressed to other practices. Key considerations/conclusions: The models studied did not consider whether the corporate green profile could improve the performance of the organization. Therefore, they did not simultaneously measure environmental, economic and operational performance. It was concluded that the addition of the green profile in conjunction with GSCM practices and performance allows for a more in-depth analysis of the degree of a company's involvement with GSCM, as well as its intended objectives and results achieved in the future.

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