2023
DOI: 10.1016/j.jclepro.2023.138433
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Green entrepreneurship and digitalization enabling the circular economy through sustainable waste management - An exploratory study of emerging economy

Sourav Mondal,
Saumya Singh,
Himanshu Gupta
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Cited by 15 publications
(7 citation statements)
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“…These approaches have some drawbacks, particularly TISM and ISM [45]. For example, the strength of the quantitative relationships and interrelationships among the barriers cannot be ascertained using the ISM and TISM method [46,47]. For this reason, it is preferable to investigate the causal relationships between the finalised barriers using DEMATEL.…”
Section: Methodsmentioning
confidence: 99%
“…These approaches have some drawbacks, particularly TISM and ISM [45]. For example, the strength of the quantitative relationships and interrelationships among the barriers cannot be ascertained using the ISM and TISM method [46,47]. For this reason, it is preferable to investigate the causal relationships between the finalised barriers using DEMATEL.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, the implementation of AI technologies to monitor energy parameters could reduce each country's greenhouse gas emissions by 70% [31] and, in turn, improve productivity [32]. In line with these findings, the World Economic Forum stated that AI-based systems, thanks to the growing amount of data and increasingly advanced algorithms, could contribute to a 4% reduction in global emissions by 2030 [33].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Chen et al [35] found that AI significantly reduces carbon intensity, with the latter emphasizing the role of AI in optimizing industrial structure and fostering green technology innovation. To achieve these results, the need to innovate in emission-intensive sectors such as waste management or public transport to make them energy efficient, smart, sustainable, and cost-effective is highlighted [32]. The complexity of the relationship between AI and carbon emissions intensity highlights the importance for regulators and policymakers to consider the impact of AI technologies on the energy system as a fundamental systemic element for decreasing greenhouse gas emissions [36].…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Green entrepreneurship offers a promising avenue to address these challenges by fostering innovation [30], creating new employment opportunities [31], and promoting environmentally responsible business practices [32]. By leveraging digital technologies and green development principles, rural entrepreneurs can not only enhance the economic viability of their ventures, but also contribute to the preservation of natural resources and the well-being of local communities [33,34]. Thus, green entrepreneurship has emerged as a vital driver of rural revitalization efforts, aligning with broader goals of promoting inclusive and environmentally sustainable development [35][36][37].…”
Section: Green Entrepreneurshipmentioning
confidence: 99%