Dear Ma'am or Sir:

Please distribute the following Call For Chapters link to your subscribers at the Academy of International Business for the upcoming publication, OpenAI and Multifactor Productivity in Business:

https://www.igi-global.com/publish/call-for-papers/call-details/6699

Please note this project has an international business component.

Additional Information:
Editors
Festus Adedoyin, Bournemouth University, United Kingdom
Bryan Christiansen, Southern New Hampshire University, United States

Call for Chapters
Proposals Submission Deadline: September 3, 2023
Full Chapters Due: December 17, 2023
Submission Date: December 17, 2023

Introduction

Multifactor Productivity (MFP) is a vital area of measuring the overall efficiency and growth of a business, for which the advancement in OpenAI poses important opportunities for achieving these efficiencies. The integration of Artificial Intelligence (AI) in business is a transformative force with potentials to redefine how organisations operates, accelerate innovation, and unlock new growth opportunities. Consequently, by leveraging and understanding OpenAI's role in business transformation, organisations can recover and reboot from harsh economic realities to unlock unprecedented levels of efficiency and growth.

However, despite the capabilities of AI-Driven automation and capabilities in improving business processes, there are challenges in terms of relevance for specific business units as well as approaches for ethical and safe integration of these tools. Little is known in terms specificity of how OpenAI can boost Labor productivity across sectors, as well as achieving an enhanced decision-making process through an augmentation of capital productivity. It is, therefore, imperative to examine how innovation can be accelerated, and how OpenAI resources can amplify technological Productivity in businesses of all scale and forms globally.



Objective

This book aims to examine scholarly and practitioner-based contributions which push the boundaries of OpenAI in Business research. This includes applications of more powerful generative AI tools, language models and innovative technologies specific to businesses across sectors, scales, and regions. As AI becomes more accessible and seamlessly integrated into business processes, this book seeks to explore how Multifactor Productivity can benefit in terms of transformation, new industries, and job opportunities, leading to overall economic growth.



Target Audience

The readership of this book is open to businesses, leaders in the industry, academics and researchers as well as policymakers in government.

Submissions on empirical and theoretical research from academics, postgraduate researchers (PhD Scholars), as well as practitioners, are all welcomed.



Recommended Topics

1. Open-AI and Multifactor Productivity (MFP) in the Global Economy
2. Open-AI and MFP on Labor Market Dynamics
3. Open-AI and MFP on Innovation and Technological Progress
4. Challenges of Measuring and Quantifying Open-AI and MFP
5. Open-AI and MFP in Industry Transformation
6. Disruptive Change
7. Opportunities and Risks of Open-AI and MFP for Developing Countries
8. Ethical and Social Implications of Open-AI and MFP
9. Privacy, Security, and Human Rights.
10. Economics of Open-AI and MFP
11. Open-AI and MFP in Financial Markets and Asset Pricing
12. Open-AI and MFP on Consumer Behavior and Demand
13. Geography of Open-AI and MFP: Regional Disparities, Urban-Rural Divide, and Spatial Spillovers.
14. Open-AI, MFP, and Globalization: Trade, Investment, and Technology Transfer.
15. Open-AI, MFP, and Environmental Sustainability: Green Growth, Circular Economy, and Climate Change Mitigation.
16. Open-AI and MFP for Corporate Strategy and Business Models
17. Innovation, Competition, and Performance.
18. Human Capital Development
19. Labor Market Adaptation to OpenAI.
20. Legal Framework for Open-AI and MFP
21. Intellectual Property Rights, Liability, and Regulation.

Submission Procedure

Researchers and practitioners are invited to submit on or before September 3, 2023, 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 September 17, 2023 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by December 17, 2023, 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-blind 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, OpenAI and Multifactor Productivity in Business. All manuscripts are accepted based on a double-blind 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 2024.



Important Dates

September 3, 2023: Proposal Submission Deadline
September 17, 2023: Notification of Acceptance
December 17, 2023: Full Chapter Submission
February 18, 2024: Review Results Returned
March 31, 2024: Final Acceptance Notification
April 14, 2024: Final Chapter Submission



Inquiries

Festus Adedoyin
Bournemouth University
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Bryan Christiansen
Southern New Hampshire University
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Bryan Christiansen
President 
SOLUVEX, LLC
505 W. Vernon Avenue
Suite 200 #225
Kinston, North Carolina  28501  USA
Tel: (252) 277-0060

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