Digital Leadership Dynamic Managerial Capability is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Digital Leadership Dynamic Managerial Capability Project Details
| Abstract |
This research tackles the tough problem of adding artificial intelligence (AI) to organizational leadership. Traditional management models often ignore how people and machines work together. Using the Dynamic Managerial Capabilities (DMC) theory as a base, the study looks at how leaders can handle AIβdriven settings. The researchers interviewed 20 industry leaders with semiβstructured questions. The goal was to find the key skills needed to manage AI tools, processes, and ethical issues. The results show that leaders who continuously match their organizationβs resources to AI abilities can reduce operational risks and seize competitive chances. From these insights, the paper introduces a new AIβdriven digital leadership capability framework. For M.Tech researchers, the
study offers a clear starting point for building simulation models or evaluation matrices that measure leadership readiness in AIβintegrated companies. One limitation is that the data come only from qualitative interviews, suggesting future work should add quantitative validation and computational modeling of leadership dynamics in simulated corporate environments.
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| Reference Paper |
Digital Leadership: Towards a Dynamic Managerial Capability Perspective of Artificial Intelligence-Driven Leader Capabilities |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Artificial Intelligence & Machine Learning |
| PDF Download |
Download / View PDF |
| Get Help |
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