Market Analysis for the Development of a Digital Leadership Course for Intergenerational Teams Integrating AI (eBook, ePUB)
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Project Report from the year 2025 in the subject Leadership and Human Resources - Management Styles, grade: 1,3, University of Applied Sciences at Schweinfurt (Wirtschaftsingenieurwesen), language: English, abstract: The ultimate objective of this project is to conduct a market research analysis, identifying what is currently available in the market and what is needed in terms of leadership within intergenerational working environments. Additionally, the project aims to clarify how AI can be used most effectively as a tool for leadership across different generations. With this information, the...
Project Report from the year 2025 in the subject Leadership and Human Resources - Management Styles, grade: 1,3, University of Applied Sciences at Schweinfurt (Wirtschaftsingenieurwesen), language: English, abstract: The ultimate objective of this project is to conduct a market research analysis, identifying what is currently available in the market and what is needed in terms of leadership within intergenerational working environments. Additionally, the project aims to clarify how AI can be used most effectively as a tool for leadership across different generations. With this information, the team will be able to provide actionable recommendations, ultimately creating the foundational basis for a high-end intergenerational leadership course. This research explores the development of a leadership course designed to address the complexities of managing intergenerational teams while integrating artificial intelligence (AI) as a supportive tool. Overall, the structure of the report is based on the way the research question is formulated. The seminar paper begins with a literature review that outlines foundational theories of leadership, examines generational differences, and highlights AI's potential role in enhancing leadership practices. Following this, a market analysis identifies current trends and offerings in leadership training programs. The methodology chapter details the mixed-methods approach, combining surveys and expert inter-views to gather both quantitative and qualitative insights. The data collection and analysis sections present key findings on leadership qualities, communication styles, and preferences across generations, offering data-driven insights into course design. Finally, the discussion and conclusion provide actionable recommendations to create a competitive and adaptable training program.
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