EconPapers    
Economics at your fingertips  
 

Leadership in the AI Age

Angelo Rosa ()
Additional contact information
Angelo Rosa: University LUM Giuseppe Degennaro, Department of Management, Finance and Technology

Chapter 4 in New Business Organizational Models for Governing in Times of Change, 2025, pp 41-48 from Springer

Abstract: Abstract This chapter provides a preview of the key role being played by senior management commitment to propelling AI take-up, aligning organizational capability, strategy, and culture and overcoming ethical, technical, and organizational barriers. It calls for developing new leadership competencies—data literacy, critical thinking, and ethical stewardship—so that one can lead AI-driven transformation and generate ethically responsible innovation. This chapter also proposes the necessity of robust human–AI collaboration in the form of co-workflows, experience-based learning, and responsible AI stewardship. This chapter applies models like TOE and diffusion of innovation to explore drivers and barriers of AI adoption and conquering resistance and technology issues.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-04091-6_4

Ordering information: This item can be ordered from
http://www.springer.com/9783032040916

DOI: 10.1007/978-3-032-04091-6_4

Access Statistics for this chapter

More chapters in Future of Business and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-10
Handle: RePEc:spr:fuobcp:978-3-032-04091-6_4