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Purpose: Based on the resource-based view theory, environmental uncertainty perspective, and causal complexity in firms, this study aims to identify the causal pathways of organizational resources, dynamic capabilities and technological uncertainty leading to digital transformation from a holistic perspective. Design/methodology/approach: Considering the gap in the existing literature on the configuration of internal and external factors affecting digital transformation, this study conducts a set-theoretic analysis using fuzzy-set qualitative comparative analysis (fs/QCA). The fs/QCA focuses on the effects of causal conditions that allow for more detailed discovery and understanding of the causal mechanisms of digital transformation. Thirty-three manufacturing SMEs were selected and fs/QCA was used to explore how companies can engage resources and dynamic capabilities to achieve digital transformation in the face of a highly uncertain external environment. Findings: As the research shows, both high and low levels of digital maturity can be achieved through various pathways of causal conditions. There is synergy between technological uncertainty and relational and portfolio technological resources or between technological uncertainty and sensing and seizing capabilities that can jointly promote digital transformation. Research limitations/implications: The analysis is based on a limited number of cases. In order to generalize the results, a larger sample from multiple industries can be collected and analyzed, thus refining the findings and increasing the level of universality. Future research should also be extended to different levels and theoretical perspectives to analyze the different factors influencing digital transformation. Practical implications: According to the research, managers should avoid "one size fits all" strategies and follow a pathway based on their resources and capabilities, especially dynamic to promote digital transformation or analyze environmental changes, as the digital era is inextricably linked to a high degree of technological uncertainty. Originality/value: This research enhances understanding of the interdependence of causal conditions (i.e. organizational resources, dynamic capabilities and technological uncertainty) in established relationships with the outcome – the level of digital maturity. It also provides implications for the digital transformation of manufacturing SMEs.
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