Publication: The Role of AI in Business Process Management and a comparative study of AI adoption among Business Process Professionals.
Loading...
Type
Thesis
Degree
BA
Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Published Version
Abstract
As Artificial Intelligence (AI) technologies rapidly evolve, business process professionals are
increasingly expected to integrate AI into workflows and decision-making.
This thesis explores how AI is adopted in Business Process Management (BPM), what tools
are used, what benefits are observed, and which barriers are encountered. Using a
mixed-methods approach, the study combines ten semi-structured interviews with a
follow-up survey of 55 respondents from various industries. Thematic analysis of the
interviews revealed five key themes: (1) AI use cases and tools (such as automation, decision
support, and process modeling), (2) role-based perceptions of AI, (3) organizational factors
influencing adoption, (4) experienced benefits, and (5) common challenges and limitations.
Quantitative analysis tested seven hypotheses based on the qualitative themes. The results
showed significant positive correlations between digital maturity, top-management support,
and overall AI readiness with both perceived benefits and levels of AI adoption.
The findings suggest that successful AI adoption in BPM depends less on structural factors
like company size, and more on cultural readiness, leadership engagement, and the quality of
underlying data and processes. This thesis highlights the importance of not only technical
tools but also emotional and organizational dynamics in shaping digital transformation
outcomes.