Digital Strategy and AI
How can established companies strategically leverage digital technologies and artificial intelligence to further develop their organizations, capabilities, and business models accordingly? In this research area, we examine how companies manage digital and AI-driven transformation, identify and assess technological opportunities, and select and implement suitable AI use cases. We frequently adopt a Dynamic Capabilities perspective and investigate which organizational capabilities companies need to identify technological change early, seize emerging opportunities, and adapt their resources and structures accordingly. A particular focus lies on the organizational structures and decision-making processes that enable the successful use of digital technologies and AI.
We also investigate how AI changes collaboration and decision-making within organizations, how companies deal with uncertainty, errors, and new responsibilities in hybrid human-AI systems, and how digital technologies can be used in complex transformation processes. In doing so, we are interested in both the strategic potential and the limitations and unintended consequences of digital and AI-based transformation.
Selected Publications
- Steininger, D. M., Mikalef, P., Pateli, A., & Ortiz-de-Guinea, A. (2022). Dynamic Capabilities in Information Systems Research: A Critical Review, Synthesis of Current Knowledge, and Recommendations for Future Research. Journal of the Association for Information Systems, 23(2), 447–490. https://doi.org/10.17705/1jais.00736
- Berger, B., Matt, C., Steininger, D. M., & Hess, T. (2015). It Is Not Just About Competition with “Free”: Differences Between Content Formats in Consumer Preferences and Willingness to Pay. Journal of Management Information Systems, 32(3), 105–128. https://doi.org/10.1080/07421222.2015.1095038
- Govorusic, A., Wunderlich, P., & Steininger, D. M. (2026). Blame the Prompt: How Experts Attribute AI Errors in Hybrid Teams. ICIS 2026 Proceedings.
- Erber, L., Ortiz de Guinea, A., & Steininger, D. M. (2026). From Knowledge Loss to Knowledge Leverage: How GenAI Affordances Transform Post-Merger IS Integration. ECIS 2026 Proceedings, 1–17.
- Weber, K., Vial, G., & Steininger, D. M. (2026). Navigating AI Choices: A Taxonomy of Decision Factors on AI Use Case Selection. ECIS 2026 Proceedings, 1–9.
- Weber, K., & Steininger, D. M. (2026). A Multiple-Case Study of AI Transformation in SMEs through Startup Collaboration. ICIS 2026 TREOs Proceedings.
