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, 2023Submission 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 beforeSeptember 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 bySeptember 17, 2023about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted byDecember 17, 2023, and all interested authors must consult the guidelines for manuscript submissions athttps://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](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 [log in to unmask] Bryan Christiansen Southern New Hampshire University [log in to unmask] Bryan Christiansen President SOLUVEX, LLC 505 W. Vernon Avenue Suite 200 #225 Kinston, North Carolina 28501 USA Tel: (252) 277-0060 Sent with [Proton Mail](https://proton.me/) secure email. ____ AIB-L is brought to you by the Academy of International Business. For information: http://aib.msu.edu/community/aib-l.asp To post message: [log in to unmask] For assistance: [log in to unmask] --- You must be an active AIB member to post to AIB-L . AIB-L has a moderator which checks messages for basic relevance. 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