Work

Artificial Intelligence (AI)-Enabled Analytics for Environmental, Social, and Governance (ESG) Reporting in Museums: Enablers and Barriers

Year: 2025

Type: article

Abstract: This study examines the enablers and barriers to adopting Artificial Intelligence (AI)-enabled analytics for Environmental, Social, and Governance (ESG) reporting in museums. Drawing on prior IT implementation research in nonprofits, along with one art museum interview and secondary case studies, it identifies those main factors in three essential areas (technological, strategic, and organizational). Findings highlight how museums leverage the enablers and address challenges (organizational inertia and resource limitations) in potentially improving the transparency, stakeholder engagement, and operational effectiveness through AI-driven ESG reporting. The study offers practical insights for Information Technology (IT) leaders in museums and similar nonprofits, helping the development of sustainable ESG reporting frameworks.

Source: Journal of the Association for Information Systems

Authors: Kim, Wookyoung, Jung, Harim, Eom, Mike Taein

Institutions: Sookmyung Women's University, University of Portland

Language: English

Topic: Information Technology Governance and Strategy

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6989350631

FWCI:

Cites:

Cited by:

Related to: