Environmental, social and governance-type investing: a multi-stakeholder machine learning analysis DOI
Rachana Jaiswal, Shashank Gupta, Aviral Kumar Tiwari

и другие.

Management Decision, Год журнала: 2025, Номер unknown

Опубликована: Март 26, 2025

Purpose This research delves into the determinants influencing adoption of environmental, social and governance (ESG) investing through an analysis media dialogs using uses gratification theory. Design/methodology/approach study employs a mixed-methods approach, integrating sentiment analysis, topic modeling, clustering, causal loop ethnography to examine ESG-related content on media. Analyzing data, identified key themes derived ten propositions about ESG investing. Industry professionals, financial advisors investors further validated these findings expert interviews. Combining data-driven qualitative insights provides comprehensive understanding how shapes investor preferences decision-making in domain. Findings Environmental aspects, such as conservation, preservation natural resources, renewable clean energy, biodiversity, restoration eco-friendly products technologies, shape attitudes toward Social considerations, including inclusivity, diversity, justice, human rights, stakeholder engagement, transparency, community development philanthropy, significantly influence sentiments. Governance elements accountability, ethical governance, compliance, risk management, regulatory compliance responsible leadership also play pivotal role shaping opinions. Practical implications presents actionable for policymakers organizations by identifying constructs proposing integrated framework that includes mediating factors like resource efficiency engagement alongside moderating environment preferences. Policymakers should establish standardized reporting frameworks, incentivize sustainable practices use data purposes. For businesses, can enhance communication strategies accountability. These measures will foster greater strengthen relations contribute more inclusive global economy. Originality/value To authors' best knowledge, this is first investigate improving based big mined from platforms.

Язык: Английский

Environmental, social and governance-type investing: a multi-stakeholder machine learning analysis DOI
Rachana Jaiswal, Shashank Gupta, Aviral Kumar Tiwari

и другие.

Management Decision, Год журнала: 2025, Номер unknown

Опубликована: Март 26, 2025

Purpose This research delves into the determinants influencing adoption of environmental, social and governance (ESG) investing through an analysis media dialogs using uses gratification theory. Design/methodology/approach study employs a mixed-methods approach, integrating sentiment analysis, topic modeling, clustering, causal loop ethnography to examine ESG-related content on media. Analyzing data, identified key themes derived ten propositions about ESG investing. Industry professionals, financial advisors investors further validated these findings expert interviews. Combining data-driven qualitative insights provides comprehensive understanding how shapes investor preferences decision-making in domain. Findings Environmental aspects, such as conservation, preservation natural resources, renewable clean energy, biodiversity, restoration eco-friendly products technologies, shape attitudes toward Social considerations, including inclusivity, diversity, justice, human rights, stakeholder engagement, transparency, community development philanthropy, significantly influence sentiments. Governance elements accountability, ethical governance, compliance, risk management, regulatory compliance responsible leadership also play pivotal role shaping opinions. Practical implications presents actionable for policymakers organizations by identifying constructs proposing integrated framework that includes mediating factors like resource efficiency engagement alongside moderating environment preferences. Policymakers should establish standardized reporting frameworks, incentivize sustainable practices use data purposes. For businesses, can enhance communication strategies accountability. These measures will foster greater strengthen relations contribute more inclusive global economy. Originality/value To authors' best knowledge, this is first investigate improving based big mined from platforms.

Язык: Английский

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