Artificial Intelligence (AI) and Sustainability of Businesses
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: closed (28 March 2025) | Viewed by 9586
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is presently being discussed across disciplines. The ultimate impact of AI remains unknown. It seems that AI holds promise to drive substantial improvements in business sustainability. This may be achieved through optimizing operations and operational costs, accelerating data-driven decision making, advancing innovation, and boosting business environmental direction. Nonetheless, it is vital for businesses to employ AI, while maintaining ethical standards and using it responsibly, ensuring that its values are appreciated without causing any impairments to business and society. Thus, this Special Issue calls for intellectual contributions concerning artificial intelligence (AI) in connection to sustainable business models. Qualitative, quantitative, technical, and scientific papers are welcomed.
1) Introduction, including scientific background and highlighting the importance of this research area.
2) Aim of the Special Issue and how the subject relates to the journal scope.
3) Suggest themes.
In this Special Issue, original research articles and reviews are welcome. Research areas may concern (but are not limited to) the following:
Streamlining business operations, optimizing business processes, the operational efficiency of businesses, data-driven business decisions, resource allocations, workforce management, supply chain visibility, supply chain management, and data mining and big data in business management.
AI-powered analytics related to consumer/customer behavior and consumer preferences, product innovation and development, sustainable products and services. AI-powered analytics related to mitigating and managing risks, sustainable initiatives, and customer satisfaction, thus contributing to long-term business sustainability
We look forward to receiving your contributions.
Dr. Abu Saleh
Guest Editor
Manuscript Submission Information
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Keywords
- AI generative product innovation and development
- data-driven business decisions
- business sustainability
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