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http://hdl.handle.net/2080/5452Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Paul, Arpan | - |
| dc.contributor.author | Mahapatra, Siba Sankar | - |
| dc.date.accessioned | 2025-12-24T13:49:43Z | - |
| dc.date.available | 2025-12-24T13:49:43Z | - |
| dc.date.issued | 2025-12 | - |
| dc.identifier.citation | 23rd ISME International Conference on Recent Advances in Mechanical Engineering (ICRAME), LNMIIT Jaipur, 17-19 December 2025 | en_US |
| dc.identifier.uri | http://hdl.handle.net/2080/5452 | - |
| dc.description | Copyright belongs to the proceeding publisher. | en_US |
| dc.description.abstract | The construction industries play a crucial role in the economic growth of a country. However, they also cause environmental and social degradation throughout the supply chain’s lifecycle. Most of the available literature has covered only the environmental factors related to green supply chain management of the construction industry. Thus, the current study has covered all three sustainability issues related to the economic, environmental, and social aspects of supply chain management in the Indian construction industry. Moreover, limited studies have explored the complex interrelationships among the factors that accelerate or hinder the adoption of sustainability practices. Therefore, the study has developed a framework for policymakers and stakeholders by prioritizing the drivers and barriers of SSCM implementation and outlining their roles in SSCM adoption in the Indian construction industry. Data have been collected from four experts in a construction industry located in western India using a structured questionnaire. Bootstrap resampling is applied to the collected data to validate the model statistically. The intuitionistic fuzzy decision making trial and evaluation laboratory (IF DEMATEL) was used, followed by cross impact matrix multiplication applied to classification (MICMAC) to analyze and prioritize the drivers and barriers of sustainability implementation. Furthermore, sensitivity based scenario clustering explored scenario based variability in MICMAC classifications. Additionally, network analysis was applied using graph theoretic measures (GTMs) to assess the importance and influence of the factors. The study reveals that corporate social responsibility is the most vital factor influencing sustainability implementation, followed by financial investment, sustainability training programs, and top management involvement. | en_US |
| dc.subject | Construction industry | en_US |
| dc.subject | Sustainability | en_US |
| dc.subject | Supply chain management | en_US |
| dc.subject | Bootstrap resampling | en_US |
| dc.subject | IF-DEMATEL | en_US |
| dc.subject | Network analysis | en_US |
| dc.title | Analysis of Drivers and Barriers of Sustainable Supply Chain Implementation in Indian Construction Industry: A Holisticapproach Integrating Advanced Analytical Methods | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Conference Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2025_ICRAME_APaul_Analysis.pdf | 1.31 MB | Adobe PDF | View/Open Request a copy |
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