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运用ISM-MICMAC方法识别和排序制造企业采用绿色技术的推动因素。

Identification and ranking of enablers to green technology adoption for manufacturing firms using an ISM-MICMAC approach.

作者信息

Usmani Muhammad Shahjahan, Wang Jianling, Waqas Muhammad, Iqbal Muzaffar

机构信息

School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.

School of Management, Jiangsu University, Zhenjiang, 212013, China.

出版信息

Environ Sci Pollut Res Int. 2023 Apr;30(17):51327-51343. doi: 10.1007/s11356-023-25744-9. Epub 2023 Feb 21.

Abstract

The debate about the adoption of green technologies (GTs) is trending due to increasing environmental concerns across the globe. In the context of the manufacturing industry, the research about enablers to GT adoption while using the ISM-MICMAC approach is scarce. Hence, the empirical analysis of GT enablers is being done in this study using a novel ISM-MICMAC method. Firstly, the research framework is developed by using the ISM-MICMAC methodology. Then, enablers to GTs were extracted from existing studies and validated by experts. Results showed that the most significant enabler to GT adoption is providing incentives for green manufacturers (1) in the ISM model. So, manufacturing firms must take initiatives for GTs to mitigate the negative environmental impact of industrialization without losing their earnings. This research brings substantial empirical scholarship to understand GT enablers and their contribution in GT enabler incorporation in the manufacturing industry of developing economies.

摘要

由于全球范围内对环境的关注日益增加,关于采用绿色技术(GTs)的争论愈演愈烈。在制造业背景下,运用解释结构模型(ISM)- 交叉影响矩阵乘法分析(MICMAC)方法对绿色技术采用的推动因素进行的研究很少。因此,本研究采用一种新颖的ISM - MICMAC方法对绿色技术推动因素进行实证分析。首先,运用ISM - MICMAC方法构建研究框架。然后,从现有研究中提取绿色技术的推动因素,并经专家验证。结果表明,在ISM模型中,采用绿色技术最关键的推动因素是为绿色制造商提供激励措施。所以,制造企业必须主动采用绿色技术,以减轻工业化对环境的负面影响,同时又不损失收益。本研究为理解绿色技术推动因素及其在发展中经济体制造业中纳入绿色技术推动因素方面的贡献带来了大量实证研究成果。

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