Transforming business education through artificial intelligence

Sonu Dua, Sakshi Dua, Pawanpreet Kaur, editors

1. Business Education: Updating with Artificial Intelligence 2. The Role of Artificial Intelligence in Futuristic Education Models: Transforming Learning and Empowering Students 3. A Glimpse into the Future: The Role of Artificial Intelligence in Education 4. AI-Powered Evolution: Rethinking Business Education in the Age of Industry 4.0 5. Artificial Intelligence in Business Curriculum: The Pedagogy and Learning Outcomes 6. Exploring the Impact of Artificial Intelligence on Entrepreneurship: A Bibliometric Analysis Using R-Studio 7. AI-Enhanced Entrepreneurship: Transforming Ventures with Intelligent Technologies 8. Hierarchical Modeling of Artificial Intelligence Enablers for Micro, Small, and Medium Industries: Evidence from Emerging Markets 9. AI-Enabled Customer Relationship Management: Enhancing Customer Engagement and Business Performance 10. Reshaping Supply Chain Management Using Artificial Intelligence 11. Transformative Impact of AI on Human Resource Decision-Making: A Theoretical Framework of the Transformative Impact of AI on Human Resource Decision-Making: A Theoretical Framework 12. Prediction of Covid-19 Pandemic Trends Using Machine Learning Techniques: Linear Regression and Support Vector Machine 13. Learning with AI: Reshaping Business Education for the Future Workforce 14. Innovative Solutions for Student Success: The Impact of Artificial Intelligence Tools on Academic Performance During Covid-19 15. Ethical and Legal Implications of AI in Entrepreneurship 16. AI-Enabled International Business: A Comprehensive Analysis of Recent Trends and Challenges 17. AI in Smart Universities: Issues and Challenges with Special Reference to Higher Educational Institutes in India 18. Leveraging Artificial Intelligence for Sustainable and Inclusive Education: Opportunities, Challenges, and Recommendations 19. Bridging the Divide: Integrating Artificial Intelligence into Business Education for a Progressive Future 20. AI in Business Education: Balancing Challenges and Promising Horizons 21. Revolutionizing Education: Artificial Intelligence Powered Learning in Business Education 22. The Role of Artificial Intelligence in Combating Plagiarism: A Comprehensive Overview

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Year of publication:	2026 ; First edition
Other Persons:	Dua, Sonu (ed.) ; Dua, Sakshi (ed.) ; Kaur, Pawanpreet (ed.)
Publisher:	Palm Bay, FL : Apple Academic Press
Subject:	Betriebswirtschaftsstudium \| Graduate business education \| Künstliche Intelligenz \| Artificial intelligence \| E-Learning \| E-learning

Extent:	1 online resource illustrations
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung
Language:	English
Notes:	Barrierefreier Inhalt: Epub Accessibility Specification 1.1. Table of contents navigation. Index navigation. Single logical reading order. Short alternative textual descriptions. Accessible math content as MathML. Print-equivalent page numbering. Use of color is not sole means of conveying information. Next / Previous structural navigation. ARIA roles provided. All non-decorative content supports reading without sight. Table of contents navigation. Index navigation. Short alternative textual descriptions. Print-equivalent page numbering Anmerkungen zur Barrierefreiheit: Transforming Business Education Through Artificial Intelligence works towards the AA level of the Web Content Accessibility Guidelines. It is a complex book with images, equations, tables, lists, footnotes, references, cross-references, backlinks and hyperlinks. Some images and tables may appear on pages different from the print version. Blank pages were removed but their page break labels remain in place and have been identified. All images have short descriptions. Linked DOIs are provided, but not uniquely identified. In-text citations are linked, however backlinks only return to the first in-text citation.. Publisher contact for further accessibility information: ebookqueries tandf.co.uk
ISBN:	978-1-998511-47-1 ; 1-998511-47-2 ; 978-1-040-80799-6 ; 1-040-80799-2 ; 978-1-040-80796-5 ; 1-040-80796-8 ; 978-1-998511-46-4
Other identifiers:	10.1201/9781998511471 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015582687