Organizations are under increasing external pressure to demonstrate environmental responsibility. Artificial Intelligence (AI) has great potential to address environmental challenges by improving the efficiency of business processes. Similar to Green Information Systems (IS), Green AI can enable organizations to create sustainable business practices and improve corporate environmental sustainability. Despite the significant opportunities to environmentally transform organizations using Green AI, research focusing on how external pressures affect the adoption of Green AI is scarce. This research examines the drivers of organizational adoption of Green AI with a particular focus on the institutional perspective. Based on a quantitative study (N=453), we developed and validated a context-specific research model. Our key findings revealed that coercive, mimetic, and normative pressures influence Green AI adoption, and top management support mediates the effect of these pressures on Green AI adoption. In addition, environmental consciousness positively affects Green AI adoption.
Fecho, Mariska and Wahl, Nihal, "Organizational Adoption of Green Artificial Intelligence: An Institutional Perspective" (2023). PACIS 2023 Proceedings. 142.
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