Call for Chapters: AI, Economic Perspectives, and Firm Business Management

Editors

Abdelkader Mohamed Sghaier Derbali, Taibah University, Saudi Arabia

Call for Chapters

Proposals Submission Deadline: June 26, 2024
Full Chapters Due: October 9, 2024
Submission Date: October 9, 2024

Introduction

Artificial Intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. The utilization of AI-driven technologies has empowered enterprises to boost their effectiveness, refine procedures, and extract valuable insights from extensive datasets. Within the realm of economics, AI has unveiled novel pathways for research and examination. The utilization of machine learning algorithms possesses the capacity to scrutinize intricate economic data and detect patterns, resulting in more precise forecasts and prognostications. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, thereby assisting policymakers, investors, and corporations in making well-informed decisions. Additionally, AI-powered algorithms play a pivotal role in the advancement of automated trading systems and tools for managing financial risks. In the domain of business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. Natural language processing (NLP) facilitates AI-driven chatbots and virtual assistants in handling customer queries and offering tailored recommendations, thereby enriching customer service experiences. Furthermore, AI methodologies are leveraged for the analysis of sentiments in social media data, enabling enterprises to comprehend public sentiment and customize their marketing strategies accordingly. Nevertheless, the escalating integration of AI in economics and business management also gives rise to challenges. Ethical dilemmas, privacy issues, and potential biases ingrained in AI algorithms necessitate resolution to ensure equitable and responsible application. Furthermore, the fluid nature of AI necessitates a continuous enhancement of competencies and expertise for professionals in these domains, alongside a conscientious and persistent endeavor towards modernizing the educational curriculum in institutions of higher learning.

Objective

This book provides a study agenda on the elements of AI, Economic Perspectives, and Firm Business Management.

Target Audience

This book is designed for a diverse audience, including leaders seeking organizational enhancement, mid-level managers focused on team innovation, and human resources professionals fostering a learning culture. It provides valuable insights for learning and development practitioners, individual contributors at all levels, and consultants offering organizational guidance. Additionally, educators, researchers, students, and professionals in dynamic sectors will find practical strategies for continuous learning and achieving organizational excellence. Overall, it serves as a comprehensive resource for those interested in fostering a culture of continuous learning across various roles and contexts.

Recommended Topics

AI and digital transformation and firm management AI and business process automation AI in HR and recruitment AI for strategic decision-making AI-supported management AI-business management AI-economic perspective

Submission Procedure

Researchers and practitioners are invited to submit on or before June 26, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 10, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 9, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI, Economic Perspectives, and Firm Business Management. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

June 26, 2024: Proposal Submission Deadline
July 10, 2024: Notification of Acceptance
October 9, 2024: Full Chapter Submission
December 11, 2024: Review Results Returned
January 22, 2025: Final Acceptance Notification
February 5, 2025: Final Chapter Submission



Inquiries

Abdelkader Mohamed Sghaier Derbali Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia Department of Finance and Accounting, Higher Institute of Informatics and Management of Kairouan, Kairouan University, Tunisia aderbali@taibahu.edu.sa

Classifications


Business and Management; Computer Science and Information Technology; Life Sciences; Social Sciences and Humanities
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