An ISM-gDEMATEL framework for assessing barriers to green freight transportation: a case of Indian logistics system

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Suneet Singh, A. Barve, S. Shanker
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引用次数: 1

Abstract

ABSTRACT Green freight transportation (GFT) came into existence as an important thrust and effort to control the increasing environmental impacts resulting from global carbon-dioxide emissions. However, the successful implementation of GFT is rarely reported in India. Therefore, we have tried to look at the hindrances affecting the smooth performance of GFT in India. In this present work, 12 relevant barriers have been identified under 3 main dimensions from the literature. Furthermore, the parameters are classified based on their dependency and driving power (DP) with the help of fuzzy MICMAC analysis. In addition to this, a structural model of the recognised obstacles has been established using the interpretive structural modelling technique. Afterwards, grey-DEMATEL (g-DEMATEL) is applied to establish the cause–effect relationship between constraints. Also, an integrated ISM-DEMATEL model has been employed to form an evident understanding of these barriers. This study’s findings illustrate that ‘Information Distortion’ (OS4), ‘Lack of Commitment by Top Management’ (O2), and ‘Lack of Strategic Planning’ (OS3) should be given due consideration to ensure proper implementation of GFT in India. The current research is unique as it enriches the existing literature by providing analytical support to the relationship between various barriers.
评估绿色货运障碍的ISM-gDEMATEL框架:以印度物流系统为例
摘要绿色货运(GFT)作为控制全球二氧化碳排放对环境造成的日益严重的影响的重要推动力和努力而应运而生。然而,印度很少报告GFT的成功实施。因此,我们试图了解影响GFT在印度顺利运行的障碍。在本工作中,在文献的3个主要维度下确定了12个相关障碍。此外,借助模糊MICMAC分析,根据参数的相关性和驱动功率(DP)对参数进行分类。除此之外,还使用解释性结构建模技术建立了已识别障碍物的结构模型。然后,应用灰色DEMATEL(g-DEMATEL)来建立约束之间的因果关系。此外,还采用了一个综合的ISM-DEMATEL模型来形成对这些障碍的明显理解。本研究结果表明,应适当考虑“信息失真”(OS4)、“最高管理层缺乏承诺”(O2)和“缺乏战略规划”(OS3),以确保GFT在印度的正确实施。目前的研究是独特的,因为它通过为各种障碍之间的关系提供分析支持,丰富了现有文献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Sustainable Engineering
International Journal of Sustainable Engineering GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
7.70
自引率
0.00%
发文量
19
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