AI Tools for Business and Economics

Dear Colleagues,

Aim and Scope

The rapid advancements in AI, machine learning, deep learning, and large language models (LLMs) have generated a significant impact on various industries, particularly in business and economics. These technologies offer transformative tools for data analysis, automation, and strategic decision-making, which are increasingly critical in a world driven by complex economic dynamics and data-intensive processes. However, the integration of these technologies within business and economic frameworks remains challenging and requires a more nuanced understanding of their practical applications, ethical implications, and potential limitations. This Special Issue addresses the urgent need for a consolidated body of research that not only showcases the latest developments in the field, but also explores the diverse and often complex ways AI technologies are reshaping the landscape of business and economics.

By fostering interdisciplinary contributions, this Special Issue aims to bring together scholars, practitioners, and industry experts to advance both theoretical understanding and practical knowledge. Our ultimate goal is to offer insights that can inform responsible and innovative use of AI technologies, promoting efficient practices, economic growth, and ethical standards across the field.

Specific Objectives

The specific objectives of this Special Issue are as follows:

1. To examine the latest developments in AI, LLMs, machine learning, and deep learning as they apply to business and economics, providing a platform for cutting-edge research and case studies that highlight current capabilities and challenges.
2. To explore the practical applications of AI technologies in solving real-world business problems, such as predictive analytics, supply chain optimization, personalized marketing, risk management, and customer service automation.
3. To assess the economic impacts of AI technology adoption across various sectors and global markets, offering insights into how these technologies drive economic innovation, growth, and competitive advantage.
4. To address ethical considerations and regulatory frameworks relevant to AI in economic contexts, promoting responsible AI use and highlighting the importance of compliance with emerging regulations.
5. To evaluate the unique challenges and opportunities faced by small- and medium-sized enterprises (SMEs) and developing economies in implementing AI technologies, aiming to identify strategies for inclusive and sustainable AI integration.
6. To analyze AI-driven approaches for economic forecasting, competitive market analysis, and data-informed policy recommendations, with an emphasis on understanding the role of AI in shaping future economic policies.

By meeting these objectives, this Special Issue aims to provide a comprehensive and multidisciplinary perspective on the potential, challenges, and ethical dimensions of AI in business and economics.

Dr. Pejman Ebrahimi
Prof. Dr. Mihai Dascalu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Artificial Intelligence (AI)
• Large Language Models (LLMs)
• machine learning
• deep learning
• business intelligence
• economic forecasting
• predictive analytics
• supply chain optimization
• personalized marketing
• customer behavior analysis
• fraud detection
• risk management
• automated decision-making
• human resource management
• revenue optimization
• sentiment analysis
• AI, innovation, and entrepreneurship
• ethical AI
• regulatory compliance
• AI and international trade
• global economic policy
• competitive market analysis
• AI and small and medium-sized enterprises (SMEs)
• real-time data analysis
• economic policy recommendations