The contribution of manufacturing industries to the achievement of triple bottom line dimensions on sustainable development: An empirical analysis
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In 2015, the United Nations introduced the sustainable development goals (SDGs) in partnership with civil society and firms, highlighting that leading firms possess the capabilities to innovate substantial solutions at scale to achieve global sustainability. Therefore, the objective of present study is to explore the sustainable development in the context of the Indian manufacturing industry and examine the effect of triple bottom line, i.e. economic, social, and environmental dimensions on the sustainable development. Based on the literature review and expert’s opinions, hypotheses related to sustainable development and triple bottom line dimensions were developed. A survey instrument was prepared and sent to the 500 Indian manufacturing industries. Out of these 384 responses were found suitable for the study with a 76.8% response rate. All the necessary statistical analysis was carried out to ensure the reliability and validity of the questionnaire. Analysis of Moment Structure Path Modeling technique-Structural Eq. Modeling has been used for testing the research hypothesis. Further, the measurement model had shown sufficient data fit for the modeling. The results of study indicate that all significance values were found to be less than 0.05. Therefore, the null hypothesis is rejected, implying that the effectiveness of triple bottom line dimensions positively influences sustainable development. The findings of the study may be useful for academicians and managers in managing the sustainable manufacturing industry in an effective manner.
2015年,联合国联合民间社会与企业推出了可持续发展目标(Sustainable Development Goals,SDGs),强调头部企业具备大规模创新切实可行解决方案的能力,以推进全球可持续发展事业。故此,本研究旨在探究印度制造业语境下的可持续发展议题,并检验三重底线(triple bottom line)——即经济、社会与环境维度——对可持续发展的影响效应。基于文献综述与专家意见,本研究构建了围绕可持续发展与三重底线维度的研究假设。研究人员编制了调研问卷,并向500家印度制造企业发放。本次调研最终回收有效问卷384份,有效回收率达76.8%。所有必要的统计分析均已实施,以确保调研问卷的信度与效度。本研究采用分析矩结构路径建模技术,即结构方程模型(Structural Eq. Modeling),对研究假设进行检验。此外,测量模型的拟合度达标,可满足建模需求。研究结果显示,所有显著性检验值均小于0.05,因此拒绝原假设,即三重底线各维度均对可持续发展产生显著正向影响。本研究的研究结果可为学术界与企业管理者高效开展可持续制造业管理工作提供有益参考。
提供机构:
Taylor & Francis
创建时间:
2025-01-17



