Abstract:
This thesis explores the pivotal role of capabilities and technologies in the digital
transformation of the banking sector, with a focus on identifying optimal strategies within
diverse regulatory environments. Utilizing a Delphi study approach, it offers theoretical
insights into the contextual impacts on performance, comparing Canada and Iran.
Integrating Dynamic Capability theory at the micro-level and the Systems of Innovation
approach at the macro-level, the research employs a variety of methodologies including
systematic literature review, Delphi method, SEM, and the rarely used fsQCA. By delving
into regulatory environments and key capabilities, while recognizing capital as a paramount resource, the study enriches understanding of digital transformation
dynamics. Notably, it advances theoretical foundations by integrating insights from
Dynamic Capability Theory and System of Innovation theory, emphasizing the importance
of aligning strategic initiatives with regulatory frameworks. Through comparative analysis
between Canada and Iran, nuanced differences in regulatory impacts on crucial capabilities are highlighted. Additionally, the study introduces innovative methodologies
like fuzzy set qualitative comparative analysis (fsQCA), expanding the methodological
repertoire in management science. Furthermore, practical implications guide practitioners, policymakers, and industry stakeholders in aligning strategies with regulatory landscapes.