Between Policy and Practice: GenAI Adoption in Agile Software Development Teams
This study reveals a systemic misalignment between the practical adoption of generative artificial intelligence (GenAI) in agile software development and existing organizational policies. Drawing on the Technology–Organization–Environment (TOE) framework, the research synthesizes findings from 17 semi-structured interviews and document analyses across three German companies, employing both within-case and cross-case thematic analysis. The results indicate that GenAI is predominantly leveraged for ideation, documentation, and code assistance, enhancing both efficiency and creativity, yet its deployment is constrained by data privacy concerns, high validation costs, and insufficient governance mechanisms. The study underscores the necessity of coherently aligning technological capabilities, organizational structures, and environmental contingencies within the TOE framework to enable compliant and effective GenAI integration, thereby offering both theoretical insights and practical pathways to bridge the gap between policy and practice.