- Dr. Mohammed Shamsul Hoque
Professor of English & Dean of the School of Arts and Social Sciences, Southeast University, Dhaka, Bangladesh.
dr.hoque@seu.edu.bd https://orcid.org/0000-0001-5695-8742 - R. Vasanthan
Associate Professor, Department of English, Nagaland University, Nagaland, India.
vasanthan@nagalanduniversity.ac.in https://orcid.org/0000-0002-7193-4711 - Dr. Khriereizhünuo Dzüvichü
Associate Professor, Department of History, Central University of Tamil Nadu, Tamil Nadu, India.
vasanthan@nagalanduniversity.ac.in https://orcid.org/0009-0006-4297-0699 - Olga Glukhova
Faculty of Linguistics and Journalism, Rostov State University of Economics, Rostovskaya Oblast, Russia.
olga_glukhova_@mail.ru https://orcid.org/0000-0003-4871-4144 - P. ShanmugaSundari
Assistant Professor, School of Computing, SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu, India.
shanmugasundari.p@ist.srmtrichy.edu.in https://orcid.org/0000-0003-1188-5353
Volume 11 - No: 1
Strategic AI Governance Mechanisms and Organizational Resilience in Platform Ecosystems for Ethical Decision-Making
DOI: doi: 10.28978/nesciences.261029
Keywords: Artificial intelligence governance, organizational resilience, ethical decision-making, platform ecosystems, environmental sustainability, strategic management, sustainable governance frameworks.
Abstract
The continued deployment of artificial intelligence (AI) in platform ecosystems has brought substantial changes to decision-making, particularly in environmental governance and sustainability management. In contrast, inadequate governance mechanisms for AI have further fuelled ethical concerns over transparency, accountability, ecological risks, and organizational resilience. This research critically examines the contribution of strategic AI governance mechanisms to reinforcing organizational resilience and ethical decision-making in environmentally oriented platform ecosystems. A mixed-methods management research design was employed, incorporating quantitative survey analysis and qualitative policy analysis, using survey responses collected from 185 managers, sustainability officers, and AI practitioners across environmental and digital platform organizations. Statistically, organizational resilience increased by 31.4%, and the efficiency of ethical compliance increased by 27.8% when organizations developed structured AI governance systems compared with their less-governed counterparts. In addition, translucent AI monitoring mechanisms reduced governance-related risk by 24.6% and increased stakeholder trust by 33.2%. The role of AI-driven environmental decision-making systems increased the sustainability resource management performance and ecological ecosystem monitoring accuracy by 21.5% and 19.7%, respectively. This research demonstrated that ethical accountability policies, adaptive resilience planning, and responsible AI governance strategies play essential roles in maintaining a sustainable performance in an AI-enabled ecosystem. This paper makes a new contribution to management and environmental sustainability literatures by presenting an integrated framework of governance-resilience mechanisms, which guides the responsible use of AI in environmental management of platform ecosystems, highlighting the significance of regulatory compliance and sustainability-oriented governance practices to ensure the long-term stability and sustainability of the ecosystem and its organization.