Over the past several years, the implementation of innovative digital technologies has become a key driver of organizational transformation worldwide, regardless of sector. Nevertheless, despite the enormous potential of these technologies, organizations are facing the so-called digitalization paradox. Specifically, although many companies invest in innovative technologies, they often fail to achieve the expected results (Ancillai et al., 2023). For example, the McKinsey Report (2025) indicates that nearly all companies invest in AI, yet only 1% realize benefits from these investments. The key challenge is considered to be the implementation of these technologies and an insufficient understanding of their impact on the functioning of the organization as a whole.
Successful implementation of innovative technologies requires a comprehensive, holistic approach that goes beyond the technological dimension alone and encompasses the transformation of multiple organizational aspects, such as organizational culture and structure, the work environment, and the development of employees’ digital competencies (Rahmadan, 2025; Elkahlout et al., 2024; Hanelt et al., 2021). As emphasized by Bordeleau et al. (2020), the integration of, for example, AI technologies into business processes is not merely a matter of software implementation, but requires a reconfiguration of the entire workflow and an understanding of the implications for human resources and the organization.
The project systematically analyzes existing knowledge on the antecedents and consequences of the application of innovative digital technologies—particularly artificial intelligence—in the context of transformations of organizational structure, culture, work environment, and employee competencies. Furthermore, based on these insights, a theoretically grounded conceptual framework will be developed that captures the key aspects of the impact of innovative digital technologies on organizational transformation. The proposed integrated model will be empirically tested in order to contribute to theory development and stimulate further research in this field.