Digital Transformation Strategies and AI Gen for Sustainable Business Development
Date
2024-06-30
Embargo
Advisor
Coadvisor
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Language
English
Alternative Title
Abstract
The Special Issue "Digital Transformation Strategies and AI Gen for Sustainable Business Development" delves into the pivotal role that digital transformation and artificial intelligence (AI) play in fostering sustainable business practices. This Special Issue explores the intersection of cutting-edge AI technologies and digital strategies, highlighting their potential to drive sustainability in various business sectors. Emphasis is placed on how these technologies can be leveraged to enhance efficiency, reduce environmental impact, and create innovative business models that prioritize long-term ecological balance. The articles within this Special Issue examine case studies, theoretical frameworks, and practical implementations of AI and digital transformation, providing a comprehensive overview of their benefits and challenges. Key topics include the integration of AI in supply chain management, the development of smart cities, the role of big data in sustainability, and the ethical considerations of AI deployment. This collection aims to provide valuable insights for academics, industry professionals, and policymakers interested in the sustainable evolution of businesses through advanced technological interventions.
Keywords
Digital transformation, Artificial intelligence (AI), Sustainable business development, AI strategies, Environmental impact, Efficiency enhancement, Smart cities, Big data, Ethical AI, Supply chain management
Document Type
Editorial
Publisher Version
Dataset
Citation
Santos-Pereira, C., Lobo, C. A., & Moreira, F. (Eds.). (2024). Digital Transformation Strategies and AI Gen for Sustainable Business Development. Sustainability, (Special issue), 1. Repositório Institucional UPT. https://hdl.handle.net/11328/5705
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TID
Designation
Access Type
Open Access