Unleashing the role of top management and government support in green supply chain management and sustainable development goals.

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ID: 90031
2020
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Abstract
Achievement of Sustainable Development Goals (SDGs) has become one of the most important goals across the globe due to their significant role in the economic prosperity and human well-being. Recently, the business industry has become a dominant concentration for SDGs. However, the importance of small- and medium-sized industries has been rarely debated in this perspective. In particular, no attempt has yet been made to estimate the commitment of small and medium Enterprises (SMEs) towards SDGs in the emerging market in Pakistan. This study fills the gap by examining the influence of top management support on SDGs (e.g., environment and community practices) with a mediating role of green supply chain management and government support as a moderator. The model of this study is tested through structural equation modeling on the cross-sectional data collected through a structured questionnaire from 313 Pakistani SMEs. The results show that top management support significantly influences green supply chain management, environment, and community-based SDGs. Green supply chain management plays a partial mediating role between top management support and environment practices as well as between top management support and community practices. Government support significantly strengthens the relationship between top management support and green supply chain management. This research recommends SMEs to encourage participation in green supply chain practices and SDGs. Additionally, this research strongly suggests the government to facilitate SMEs in the adoption of green practices that can resultantly contribute to SDGs. Further implications have stated.
Reference Key
ilyas2020unleashingenvironmental Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ilyas, Sana;Hu, Zhineng;Wiwattanakornwong, Kunakorn;
Journal Environmental science and pollution research international
Year 2020
DOI
10.1007/s11356-019-07268-3
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