Entrepreneurship and AI: Research Approaches in Digital & AI Management
Abstract: The transformation driven by Artificial Intelligence demands new management and research approaches. The research field “Digital & AI Management” lies at the center of ISPC and CBR activities to link scientific insights with practical impact.
Key Takeaways (Important Facts)
- Focus on the intersection of technological innovation, management, and scientific integrity.
- Combination of theoretical foundation and practical transfer for digital business models.
- Promotion of research projects on the ethical and strategic use of AI in organizations.
- Building sustainable academic networks through the international conference offerings of the ISPC.
Illustrated by Tara Winstead
Challenges in Modern AI Management
Artificial Intelligence is not only changing business processes, but also presenting management research with novel challenges. Evaluating algorithms, data ethics, automation potentials, and strategic business model adaptations requires tools that are both scientifically sound and practically applicable.
The research initiative surrounding ISPC and CBR targets precisely this intersection: providing early-career researchers with the tools to write methodologically rigorous studies on the deployment of digital technologies.
Focus Areas of Scientific Work
The center of attention includes the following core research areas:
- Strategic AI Integration: How companies integrate AI systems into processes in a value-creating and sustainable manner.
- Data-Driven Decisions: What evidence is required for reliable management decisions.
- Ethical Responsibility: Ensuring scientific and corporate integrity when deploying generative systems.
Frequently Asked Questions (FAQ)
Why is Digital & AI Management so relevant as a research field?
What role does the ISPC play in AI management?
How does CBR support research projects in the AI field?
Who is the target audience for the research findings?
Which methodological standards are applied?
Who supports the scientific publications?
How is the quality of research papers ensured?
Can practitioners participate in the research networks?
Are there specific guides for AI-assisted research?
Where can network publications be accessed?
Source Note: Editorial article based on publications by ISPC.