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Navigating AI in business = strategies and insights across disciplines /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Navigating AI in business/ edited by Afërina Skeja ... [et al.].
其他題名:	strategies and insights across disciplines /
其他作者:	Skeja, Afërina.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xv, 387 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Business - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-032-02526-5
ISBN:	9783032025265

Navigating AI in business = strategies 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

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

527441
Business
--Data processing.

LC Class. No.: HF5548.2

Dewey Class. No.: 658.05

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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.
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