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An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM
Muwen Wang1,2, Yiwen Zhang3, Yuan Tian2
1Shandong Women's University, School of Business Administration, Shandong, Jinan 250300, China.
Expert Systems with Applications
|September 26, 2022
Summary
Global crises impact agricultural supply chains. This study identifies key drivers for agricultural sustainable supply chain management (ASSCM), emphasizing government roles and corporate responsibility for resilience.
Area of Science:
- Agricultural Economics
- Supply Chain Management
- Environmental Science
Background:
- Global events like environmental deterioration, pandemics, and geopolitical conflicts significantly disrupt agricultural supply chains, leading to inflation and increased costs.
- Achieving sustainability in agricultural supply chains requires a scientific understanding of interconnected management indicators.
- Existing research may not fully capture the complex causal relationships influencing agricultural sustainable supply chain management (ASSCM).
Purpose of the Study:
- To develop and apply an integrated method for analyzing the hierarchical and causal structure of indicators critical for ASSCM.
- To identify the primary drivers and interrelationships within agricultural sustainable supply chain management.
- To provide a framework for enhancing the resilience and sustainability of global agricultural supply chains.
Main Methods:
- Development of an integrated rough-fuzzy WINGS-ISM (Interpretive Structural Modeling) method.
- Analysis of composite indicators linked to agricultural sustainable supply chain management.
- Comparative analysis to validate the practicality and reliability of the proposed methodology.
Main Results:
- Environmental legislation, regulation, licensing, and government subsidies are identified as the principal drivers of ASSCM.
- Government intervention in the business environment is crucial for guiding sustainable development.
- Increased financial support is needed to advance the science and technology aspects of ASSCM.
- Growing corporate social responsibility and sustainability awareness positively influence economic performance and ASSCM goals.
Conclusions:
- The integrated rough-fuzzy WINGS-ISM method effectively reveals the complex structure of ASSCM indicators.
- Government policies and financial support are vital for fostering sustainable agricultural supply chains.
- Corporate commitment to social responsibility is a significant factor in achieving ASSCM objectives.
- The study offers a valuable reference for policymakers and organizations aiming to improve agricultural supply chain sustainability.
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