How AI-driven certified energy management systems shape sustainable investment

Yosr Ammar (), Julien Cloarec () and Bertrand Valiorgue ()
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Yosr Ammar: UJML - Université Jean Moulin - Lyon 3 - Université de Lyon, MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon, IFGE - Institut Français de Gouvernement des Entreprises - EM - EMLyon Business School
Julien Cloarec: MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon, UJML - Université Jean Moulin - Lyon 3 - Université de Lyon, Iaelyon - Iaelyon School of Management - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon
Bertrand Valiorgue: CleRMa - Clermont Recherche Management - ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand - UCA [2017-2020] - Université Clermont Auvergne [2017-2020], EM - EMLyon Business School

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Abstract: As technological advancements, artificial intelligence (AI), and climate change become increasingly intertwined, energy efficiency has emerged as a crucial issue for organizations and public authorities. This research examines how companies can align financial and environmental goals to attract diverse investor groups, focusing on AI-driven energy efficiency strategies. Using the Economies of Worth framework, we explore how investor behavior is influenced by AI adoption in energy management and varying accountability structures. Across four studies with 1,500 investors, we find that environmental motivations can reduce investor willingness to invest, mediated by perceived energy efficiency. However, AI integration improves this relationship, particularly when paired with internal accountability mechanisms.Firms that adopt AI-based energy solutions, combined with appropriate accountability measures, are more likely to appeal to both traditional and impact-oriented investors. This study contributes to sustainable investment research by highlighting the critical role of AI and accountability in shaping investor perceptions of energy efficiency, offering practical insights for businesses balancing financial and environmental objectives.

Keywords: accountability; artificial intelligence; sustainable investment; energy efficiency; Energy management systems; Energy management systems energy efficiency sustainable investment artificial intelligence accountability (search for similar items in EconPapers)
Date: 2025-07-03
Note: View the original document on HAL open archive server: https://hal.science/hal-05470476v1
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Published in 41st EGOS Colloquium, EGOS, Jul 2025, Athènes, Greece

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