Developing AI and Augmented Intelligence Dynamic Capabilities for Sustainable Development Goal 13 (Climate Action): A Mixed Method Study

  • Surajit Bag
  • , Bibhuti Bhusan Tripathy
  • , Asif Khan
  • , Sarbjit Singh Oberoi

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalJournal of Global Information Management
Volume34
Issue number1
DOIs
Publication statusPublished - Jan 2026
Externally publishedYes

Keywords

  • Artificial Intelligence and Augmented Intelligence
  • Dynamic Capability
  • Emerging Economy
  • Information Management
  • SDG13

ASJC Scopus subject areas

  • Business and International Management
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

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