Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Agentic AI and Flexible Management: Multidisciplinary and Behavioural Perspectives on Evolving Practices, Strategic Opportunities, and Policy Implications. |
| Συγγραφείς: |
Raman, Ramakrishnan1 (AUTHOR) raman06@yahoo.com, Gandhi, Aradhana2 (AUTHOR) head@scbs.siu.edu.in, Banerjee, Unnayni3 (AUTHOR) unnaynibanerjee@scbs.siu.edu.in, Banerjee, Srijanie2 (AUTHOR) phd.srijaniebanerjee@gmail.com |
| Πηγή: |
Global Journal of Flexible Systems Management. 2026 Suppl 1, Vol. 27, p123-145. 23p. |
| Θεματικοί όροι: |
*Management science, *Intelligent agents, *Organizational behavior, *Organizational resilience, Human-artificial intelligence interaction, Cognitive ability, Artificial intelligence & ethics, Behavioral sciences |
| Περίληψη: |
This research aims to provide a multidisciplinary framework to explore how agentic artificial intelligence (AI)—autonomous systems capable of adaptive learning and goal-directed decision-making—could influence flexible management—an organization's adaptability capacity. The study, through a conceptual and theoretical lens, draws insights from organizational behaviour, business management, behavioural sciences, technology, and ethics. The discussion highlights that flexible management goes beyond just improving operational efficiency. The findings elucidate a key theme: the need for AI literacy, involving new ways of understanding trust calibration between humans and machines to ensure its safe and productive deployment. Building on previous research, the current study observes and emphasizes the need to understand the human side of working alongside AI technologies, including their behavioural and cognitive dimensions, and raises critical questions about transparency and the ethical concerns it raises. By connecting and synthesizing varied disciplinary and behavioural perspectives, this study invites the readers to contemplate on the challenges and opportunities of how flexible management could be potentially redefined with the increasing pervasiveness of agentic AI in this contemporary era. Ultimately, this study outlines a roadmap on evolving practices for advancing research, addressing implications, and suggesting insights for designing ethically responsible systems. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
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