Subject: Information System Science
Title: The optimization of change management processes via automation and performance metrics in IT systems.
Abstract:
The thesis investigates how organizations can manage new technology by adding automation and performance evaluation to what they already do. Since digital transformation is growing more complicated and happening faster, the research examines how technological tools, organizational methods and people are interacting. Using a qualitative method, the researcher study how institutions organize, execute and review changes in complicated conditions. Focus is placed on how firms deal with bringing together technological progress, strategic planning and staff cultural acceptance. The thesis adds to current debates on how data, systems and people help shape successful and lasting change.
Key words: IT Change Management, Automation, Performance metrics, Artificial Intelligence, Resistance to Change, Robotic Process Automation (RPA), Key Performance Indicators (KPIs).