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Navigating AI in businessstrategies and insights across disciplines /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Navigating AI in businessedited by Afërina Skeja ... [et al.].
Reminder of title:	strategies and insights across disciplines /
other author:	Skeja, Afërina.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xv, 387 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessData processing.
Online resource:	https://doi.org/10.1007/978-3-032-02526-5
ISBN:	9783032025265$q(electronic bk.)

Navigating AI in businessstrategies and insights across disciplines /
Navigating AI in businessstrategies and insights across disciplines /[electronic resource] :edited by Afërina Skeja ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 387 p. :ill., digital ;24 cm. - Contributions to management science,2197-716X. - Contributions to management science..

Part I: Foundations and Cross-Disciplinary Perspectives -- 1. Introduction to Navigating AI in Business: Strategies and Insights Across Disciplines -- 2. The AI Revolution in Business -- 3. Artificial Intelligence in Strategic Management: Shaping the Future of Business Leadership -- 4. Responsible AI in Organizational Decision-Making: A Conceptual Framework -- 5. Mitigating the Risks of Generative AI in Government through Algorithmic Governance -- Part II: AI in Business Functions and Processes -- 6. AI Applications for Organizational Learning and Development: An Interdisciplinary Approach -- 7. AI in Human Resources Management, Systematic Literature Review -- 8. Next-Gen HR: Leveraging AI for Employee Readiness -- 9. Leveraging AI for Talent Management: From Talent Acquisition to Succession Planning -- 10. Exploring the Influence of Artificial Intelligence on Accounting and Auditing Firm Performance -- 11. Bankruptcy Prediction: Statistical Models to Deep Learning Models -- 12. AI and Competitive Advantage Strategies: Evidence from the Banking Sector -- 13. AI in Marketing and Consumer Behavior -- 14. Generative AI in Consumer Behaviour and Marketing: Applications, Opportunities and Challenges -- 15. Responsible Use of Artificial Intelligence in International Marketing: A Comparative Analysis of Multinational Enterprises -- 16. Usability of Artificial Intelligence in Customer Satisfaction: Evidence from Family-Owned Businesses in Sub-Saharan Africa -- Part III: AI in Industry-Specific Contexts -- 17. Artificial Intelligence in Tourism Marketing -- 18. AI in Healthcare Brand Management: Building Trust and Reputation -- 19. Adoption of Photovoltaic Systems (PV) and Artificial Intelligence (AI) in Rural Economies of Albania -- -- 20. Machinewashing: An Emerging Threat to Digital Reputation in the Artificial Intelligence (AI) Era -- Part IV: Legal, Ethical, and Future Considerations -- 21. Navigating the Intersection of Law and Innovation: The Criminal Legal Framework for Self-Driving Cars in the AI-Driven Automotive Industry.

This book examines how AI transforms business administration, creating entrepreneurial opportunities and innovative business models. AI supports sustainable business models by driving social, environmental, and financial value. It accelerates information dissemination, networking, and communication efficiency, benefiting family businesses and large companies alike. The book provides insights into integrating AI in marketing, finance, and HR to enhance efficiency and drive innovation. Featuring unique models, research, and case studies, it addresses practical AI applications, ethical considerations, and future trends. This book is essential for professionals and academics leveraging AI at the intersection of technology and business.

ISBN: 9783032025265$q(electronic bk.)

Standard No.: 10.1007/978-3-032-02526-5doiSubjects--Topical Terms:

199085
Business
--Data processing.

LC Class. No.: HF5548.2

Dewey Class. No.: 658.05

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245 0 0 $a Navigating AI in business $h [electronic resource] : $b strategies and insights across disciplines / $c edited by Afërina Skeja ... [et al.].
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490 1 $a Contributions to management science, $x 2197-716X
505 0 $a Part I: Foundations and Cross-Disciplinary Perspectives -- 1. Introduction to Navigating AI in Business: Strategies and Insights Across Disciplines -- 2. The AI Revolution in Business -- 3. Artificial Intelligence in Strategic Management: Shaping the Future of Business Leadership -- 4. Responsible AI in Organizational Decision-Making: A Conceptual Framework -- 5. Mitigating the Risks of Generative AI in Government through Algorithmic Governance -- Part II: AI in Business Functions and Processes -- 6. AI Applications for Organizational Learning and Development: An Interdisciplinary Approach -- 7. AI in Human Resources Management, Systematic Literature Review -- 8. Next-Gen HR: Leveraging AI for Employee Readiness -- 9. Leveraging AI for Talent Management: From Talent Acquisition to Succession Planning -- 10. Exploring the Influence of Artificial Intelligence on Accounting and Auditing Firm Performance -- 11. Bankruptcy Prediction: Statistical Models to Deep Learning Models -- 12. AI and Competitive Advantage Strategies: Evidence from the Banking Sector -- 13. AI in Marketing and Consumer Behavior -- 14. Generative AI in Consumer Behaviour and Marketing: Applications, Opportunities and Challenges -- 15. Responsible Use of Artificial Intelligence in International Marketing: A Comparative Analysis of Multinational Enterprises -- 16. Usability of Artificial Intelligence in Customer Satisfaction: Evidence from Family-Owned Businesses in Sub-Saharan Africa -- Part III: AI in Industry-Specific Contexts -- 17. Artificial Intelligence in Tourism Marketing -- 18. AI in Healthcare Brand Management: Building Trust and Reputation -- 19. Adoption of Photovoltaic Systems (PV) and Artificial Intelligence (AI) in Rural Economies of Albania -- -- 20. Machinewashing: An Emerging Threat to Digital Reputation in the Artificial Intelligence (AI) Era -- Part IV: Legal, Ethical, and Future Considerations -- 21. Navigating the Intersection of Law and Innovation: The Criminal Legal Framework for Self-Driving Cars in the AI-Driven Automotive Industry.
520 $a This book examines how AI transforms business administration, creating entrepreneurial opportunities and innovative business models. AI supports sustainable business models by driving social, environmental, and financial value. It accelerates information dissemination, networking, and communication efficiency, benefiting family businesses and large companies alike. The book provides insights into integrating AI in marketing, finance, and HR to enhance efficiency and drive innovation. Featuring unique models, research, and case studies, it addresses practical AI applications, ethical considerations, and future trends. This book is essential for professionals and academics leveraging AI at the intersection of technology and business.
650 0 $a Business $x Data processing. $3 199085
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650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Business Strategy and Leadership. $3 914887
650 2 4 $a Sustainability. $3 376755
700 1 $a Skeja, Afërina. $3 1007968
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830 0 $a Contributions to management science. $3 557484
856 4 0 $u https://doi.org/10.1007/978-3-032-02526-5
950 $a Business and Management (SpringerNature-41169)