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

Research Projects

Organizational Units

Journal Issue

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

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

TID

Designation

Access Type

Open Access

Sponsorship

Description