Optimizing Change Management Processes via Automation and Performance Metrics within 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.