Artificial Intelligence as a Business Management Tool (AIBMT-2024)

Artificial Intelligence revolutionizes business management by enhancing efficiency, decision-making, and customer engagement through data-driven strategies and intelligent automation, while addressing challenges like data privacy and ethical considerations.

"Artificial Intelligence as a Business Management Tool" examines the impact of AI on business operations, focusing on its ability to optimise processes, improve decision-making, and customise consumer interactions. The text explores the diverse applications of AI, including the use of predictive analytics to analyze market trends, chatbots for customer service, and AI-driven systems for recruiting and workforce management. The book also discusses the difficulties associated with integrating AI, such as data protection and ethical issues, and emphasizes the significance of adopting a strategic approach to effectively utilising AI. The book emphasises the importance of AI as a crucial tool that enhances human abilities, promoting innovation and success in contemporary business.

Artificial Intelligence (AI) is becoming an essential element of contemporary company management, rather than a concept that belongs to the future. This book explores the impact of AI on the corporate environment, specifically in terms of improving efficiency, accuracy, and strategic decision-making in several industries. AI has a wide range of applications, including data analytics, customer service, recruitment, and supply chain management. These applications have the potential to bring about significant changes and improvements.

This book primarily explores how artificial intelligence utilises large datasets and machine learning techniques to provide practical and useful information. These technologies let firms to analyse large volumes of data in real-time, detecting patterns and trends that human analysts may overlook.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference or edited books. The following paper categories are welcome:

Submission Link: https://easychair.org/my/conference?conf=aibmt2024

1. Chapter must follow the standard format single column, font size: 12, font style: Times New Roman. Chapter Template will be provided by email. 

2. Turnitin plagiarism below 8%.

3. No AI content will be there.

4. References must be the latest 5 years.

5. Manuscript must be Research Paper not Review paper.

6. Maximum 28-30 pages.

7. Figures must be high resolution and clear with 300 dpi and must be in an editable format.

8. Figures must be original.

9. After acceptance of the full chapter, need to fill the copyright form carefully with all necessary infomation.

List of Topics

1. Introduction to Artificial Intelligence
   • Definition of AI and its importance in modern business.
   • History and development of AI.
2. Basic AI Concepts
   • Machine Learning, Deep Learning, Natural Language Processing.
   • Differences between AI, ML, and DL.
3. The Role of AI in Business Management
   • The impact of AI on strategic business decisions.
   • Automation of business processes.
4. Data Analysis with AI
   • Using AI to analyse large datasets.
   • Predicting market trends and analysing customer behaviour.
5. Application of AI in Marketing
   • Personalization of marketing campaigns.
   • Sentiment analysis and customer interaction.
6. AI in Human Resource Management
   • Recruitment and selection of employees using AI.
   • Monitoring and evaluating employee performance.
7. AI in Finance and Accounting
   • Automation of accounting processes.
   • Financial forecasting and risk management.
8. Optimization of Logistics and Supply Chain
   • Route planning and inventory management.
   • Demand forecasting and supply chain optimization.
9. AI in Customer Service
   • Chatbots and virtual assistants.
   • Automating customer service and improving customer satisfaction.
10. Cybersecurity with AI
    • Detecting and preventing threats.
    • Anomaly analysis and data protection.
11. AI in Product and Service Development
    • Product personalization and dynamic pricing.
    • Testing and improving new products.
12. Innovation Management with AI
    • Using AI to support innovation.
    • Case studies and examples of AI applications in various industries.
13. Implementing AI in an Organization
    • AI implementation strategies.
    • Challenges and barriers to AI implementation.
14. The Future of AI in Business
    • New technologies and future trends in AI.
    • How to prepare for a future with AI.
15. Ethics and Responsibility of AI
    • Ethical aspects of AI implementation.
    • Examples and solutions for responsible AI use.

Publication

AIBMT-2024 edited book will be published by CRC PRESS T&F GROUP, USA

Editors contact

Dr. Justyna Żywiołek,

Czestochowa University of Technology, Poland

justyna.zywiolek@wz.pcz.pl

Dr. Shashi Kant Gupta,

Eudoxia Research University, USA

raj2008enator@gmail.com