Generative AI and Multifactor Productivity in Business

Generative AI and Multifactor Productivity in Business

Festus Fatai Adedoyin (Bournemouth University, UK) and Bryan Christiansen (Southern New Hampshire University, USA)
Indexed In: SCOPUS
Release Date: April, 2024|Copyright: © 2024 |Pages: 284
DOI: 10.4018/979-8-3693-1198-1
ISBN13: 9798369311981|ISBN13 Softcover: 9798369347324|EISBN13: 9798369311998
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Description & Coverage
Description:

As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational paradigms, accelerating innovation, and unlocking unprecedented growth opportunities. However, lurking beneath this promise are challenges that demand urgent attention – from tailoring relevance for specific business units to ethical and safe integration practices. The specifics of how OpenAI can amplify labor productivity and enhance decision-making processes remain elusive. Generative AI and Multifactor Productivity in Business offers a guide surrounding the complexities of OpenAI's role in business operations. It contends that understanding OpenAI is not just beneficial; it is essential for organizations seeking to navigate economic uncertainties and unlock high levels of efficiency and growth.

The book delves into the effects of OpenAI on business, with a primary objective of illuminating the scholarly and practitioner-based contributions that push the boundaries of OpenAI in business research. This exploration encompasses applications of advanced generative AI tools, language models, and innovative technologies specific to diverse businesses across sectors, scales, and regions. It emphasizes that as AI becomes more seamlessly integrated into business processes, the potential for multifactor productivity to fuel economic growth, new industries, and job opportunities is unparalleled.

The book caters to businesses, industry leaders, academics, researchers, and policymakers. It beckons readers into a world where empirical and theoretical research converge to shape the future of OpenAI and multifactor productivity. With a wide variety of recommended topics, spanning from international business and global economic dynamics to labor market adaptation, ethical implications, and environmental sustainability, the book establishes itself as a resource for anyone seeking to understand, navigate, and capitalize on the intersection of OpenAI and multifactor productivity in the ever-evolving landscape of business.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Challenges of Measuring and Quantifying Open-AI and MFP
  • Consumer Behavior and Demand
  • Corporate Strategy and Business Models Applications
  • Economics of Open-AI and MFP
  • Ethical and Social Implications
  • Financial Markets and Asset Pricing Applications
  • Geography of Open-AI and MFP
  • Human Capital Development
  • Industry Transformation Applications
  • Innovation and Technological Progress
  • Innovation, Competition, and Performance
  • Intellectual Property Rights, Liability, and Regulation
  • Labor Market Adaptation
  • Multifactor Productivity in International Business
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Generative AI and Business Intelligence: Redefining Productivity and Innovation
As organizations navigate an increasingly dynamic market, the integration of Artificial Intelligence (AI) has shifted from being a technological advancement to a strategic imperative... Read Full Article
Editor/Author Biographies
Festus Adedoyin is a Fellow of the Higher Education Academy and a Senior Lecturer at the Department of Computing and Informatics, Bournemouth University, U.K. Festus has led the Economics of Information Security unit since 2020, with current research interest is in the application of Machine and Deep Learning, and Econometrics tools to research stories in Energy and Tourism Economics as well as Finance and Digital Health.
Bryan Christiansen is an Adjunct Professor of business at Southern New Hampshire University in the USA. He earned his MBA at Capella University and his BS in Marketing at the University of the State of New York (now Excelsior University). Christiansen has worked since 1985 in a wide variety of organizations in the USA and abroad, most notably at Ameriprise Financial and the IBM Corporation. These experiences have permitted him to observe first-hand the types of behavior inherent in firms of different sizes and structures. Fluent in Chinese, Japanese, and Spanish, he has published nearly 50 Reference books on business, cultural studies, economics, higher education, management, psychology, and sociology. Most of his works are Scopus- and/or Web of Science-indexed.
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