The Role of AI-Driven Decision Intelligence in Enhancing Business Sustainability and Social Impact: A Moderated-Mediation Model

Purpose: The study aims to review the role of AI-driven decision intelligence in enhancing business sustainability and social impact using a mediated model review. AI plays an essential role in meeting the challenges of the workplace and facilitating leaders in decision-making to avoid risks and failure. Method: The study has adopted a primary quantitative method where data has been collected from a set of 150 samples using a Google survey form online. The data has been converted into statistical facilitation and Excel analysis into tables and displays with the help of smart PLS software. Finding: The results show that AI has a positive and pragmatic impact on driving good decision-making to enhance business sustainability and have a positive impact on social aspects. All the hypotheses have been proved and mentioned a positive impact which shows that the aim of the study for AI-driven decision intelligence has been achieved to show a positive impact on social impact and business sustainability context. Recommendations: the study has positive implications for the managers and policymakers where they can explore good facilitation ideas using AI-driven decision-making to avoid risk and handle challenges in a business sustainability context with a positive social context.

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Publication Details

Journal
Journal for social science archives
Published
2025-04-19
DOI
https://doi.org/10.59075/jssa.v3i2.228
Primary Topic
Big Data and Business Intelligence
Type
article
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article

The Role of AI-Driven Decision Intelligence in Enhancing Business Sustainability and Social Impact: A Moderated-Mediation Model

Zeeshan Malik, Hafiza Al Haya Sarfaraz, Hafiza Khizra Massab
Journal for social science archives
Big Data and Business Intelligence
article

The Role of AI-Driven Decision Intelligence in Enhancing Business Sustainability and Social Impact: A Moderated-Mediation Model

Zeeshan Malik, Hafiza Al Haya Sarfaraz, Hafiza Khizra Massab
article en

Abstract

Purpose: The study aims to review the role of AI-driven decision intelligence in enhancing business sustainability and social impact using a mediated model review. AI plays an essential role in meeting the challenges of the workplace and facilitating leaders in decision-making to avoid risks and failure. Method: The study has adopted a primary quantitative method where data has been collected from a set of 150 samples using a Google survey form online. The data has been converted into statistical facilitation and Excel analysis into tables and displays with the help of smart PLS software. Finding: The results show that AI has a positive and pragmatic impact on driving good decision-making to enhance business sustainability and have a positive impact on social aspects. All the hypotheses have been proved and mentioned a positive impact which shows that the aim of the study for AI-driven decision intelligence has been achieved to show a positive impact on social impact and business sustainability context. Recommendations: the study has positive implications for the managers and policymakers where they can explore good facilitation ideas using AI-driven decision-making to avoid risk and handle challenges in a business sustainability context with a positive social context.

Journal for social science archivesVol. 3(2)
Islamic Development Bank (SA), University of Karachi (PK)
Openalex Percentile: Top 87%
Big Data and Business Intelligence
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The Role of AI-Driven Decision Intelligence in Enhancing Business Sustainability and Social Impact: A Moderated-Mediation Model — Zeeshan Malik, Hafiza Al Haya Sarfaraz, et al. · Journal for social science archives (2025) | TGRS Research Map | TGRS