Developing AI and Augmented Intelligence Dynamic Capabilities for Sustainable Development Goal 13 (Climate Action)

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Authors: Surajit Bag, Bibhuti Bhusan Tripathy, Asif Khan, Sarbjit Singh Oberoi
Cited by: 1
References: 69

Abstract

This study develops a capability model that integrates Artificial Intelligence (AI) for autonomous data processing and Augmented Intelligence (AugI) for enhanced human-AI collaboration, creating a synergistic dynamic capability for climate action (SDG 13). Further, the study examined the effect of AI and AugI capability for climate action on firm performance. In Study 1, focus groups were used to identify the dimensions of AI and AugI dynamic capability. In Study 2, an empirical design using a survey was employed to test the model. The findings of Study 1 show that regulatory and standards compliance, climate and environmental data management, AI and AugI tools, climate science knowledge and analytics, and human-AI collaboration for climate solutions are first-order reflective constructs that are combined to develop a second-order formative AI and AugI dynamic capability (DCC) construct. The findings of Study 2 show that the relationship between AI and AugI dynamic capability (DCC) and firm performance is positive and statistically significant.

Fields of Study & Subjects

Ethics and Social Impacts of AI Big Data and Business Intelligence Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Journal of Global Information Management
Publisher
IGI Global Scientific Publishing
Volume
34
Issue
1
Pages
1–27
Publication date
22 January 2026
Language
NG