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

A deep learning-based hybrid PLS-SEM-ANN approach for predicting factors improving AI-driven decision-making proficiency for future leaders DOI
Shashank Gupta, Rachana Jaiswal

Journal of International Education in Business, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Purpose This study explores the factors influencing artificial intelligence (AI)-driven decision-making proficiency (AIDP) among management students, focusing on foundational AI knowledge, data literacy, problem-solving, ethical considerations and collaboration skills. The research examines how these competencies enhance self-efficacy engagement, with curriculum design, industry exposure faculty support as moderating factors. aims to provide actionable insights for educational strategies that prepare students AI-driven business environments. Design/methodology/approach adopts a hybrid methodology, integrating partial least squares structural equation modeling (PLS-SEM) neural networks (ANNs), using quantitative collected from 526 across five Indian universities. PLS-SEM model validates linear relationships, while ANN captures nonlinear complexities, complemented by sensitivity analyses deeper insights. Findings results highlight pivotal roles of literacy problem-solving in fostering self-efficacy. Behavioral, cognitive, emotional social engagement significantly influence AIDP. Moderation analysis underscores importance design enhancing efficacy constructs. identifies most critical predictors AIDP, respectively. Research limitations/implications is limited central universities may require contextual adaptation global applications. Future could explore longitudinal impacts AIDP development diverse cultural settings. Practical implications findings designers, policymakers educators integrate into education. Emphasis experiential learning, frameworks interdisciplinary preparing AI-centric landscapes. Social By equipping future leaders proficiency, this contributes societal readiness technological disruptions, promoting sustainable contexts. Originality/value To author’s best uniquely integrates analyze interplay shaping It advances theoretical models linking learning theories practical education strategies, offering comprehensive framework developing students.

Язык: Английский

Процитировано

1
Examining the interaction between artificial intelligence literacy and individual entrepreneurial orientation in teacher candidates: The mediating role of sustainable development DOI
Ebru Polat, Muhammed Zincirli, Erdal ZENGİN

и другие.

The International Journal of Management Education, Год журнала: 2025, Номер 23(2), С. 101156 - 101156

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0
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

Процитировано

0