Modeling drivers for successful adoption of environmentally conscious manufacturing

Varinder Kumar Mittal · Kuldip Singh Sangwan

30 citations0/0 files storedJournal of Modelling in Management

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Environmental Sustainability in Business Quality and Management Systems Sustainable Supply Chain Management

Abstract

Purpose – This paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency. Design/methodology/approach – ISM has been used to identify hierarchy and inter-relationships among drivers for ECM adoption and to classify the drivers according to their driving and dependence power using MICMAC analysis. The drivers for ECM adoption are identified through the review of literature followed by developing a model of drivers using ISM. Findings – The main findings of the paper include the development of an ISM model of drivers for ECM adoption. The developed model divided the identified drivers into five levels of hierarchies showing their inter-relationship and depicting the driving-dependence relationship. These five levels have been classified into four categories – awareness, external, organizational and benefits. Originality/value – The developed ISM model is expected to provide a direction to the policy makers in the government and industry and the top management of the organizations to leverage their resources in a timely manner to adopt ECM successfully.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 30 citations exist upstream.

References

2005Green supply chain management in China: pressures, practices and performance 2008Drivers and barriers to environmental supply chain management practices: Lessons from the public and private sectors 1994Vendor Selection Using Interpretive Structural Modelling (ISM)2011An analysis of the drivers affecting the implementation of green supply chain management 2010Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers 2004Environmentally benign manufacturing: Observations from Japan, Europe and the United States 2005IT‐enablement of supply chains: understanding the barriers 2011Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach

Cited by

2022Drivers for the adoption of integrated sustainable green lean six sigma agile manufacturing system (ISGLSAMS) and research directions 2023Drivers and motives for sustainable manufacturing system 2019A sustainability assessment framework for cement industry – a case study 2022Development of an advanced application process of Lean Manufacturing approach based on a new integrated MCDM method under Pythagorean fuzzy environment

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.