Boardroom communication networks and AI driven HRM in Cyber-FinTech: A theory building framework for employee retention

This study develops a theoretical framework that explains how two Drivers, artificial intelligence driven human resource management augmentation and strategic corporate security communication, shape the Outcome of employee retention in Cyber-FinTech organizations. As digital financial ecosystems adopt intelligent human resource systems, secure communication practices, and cloud-based infrastructures, integrated and engagement-centered retention strategies have become critical. Grounded in the Resource-Based View, Strategic Communication Theory, and Socio-Technical Systems Theory, the framework positions employee engagement as the Intermediary Mechanism that links the Drivers to retention. Risk management framework maturity shapes the strength and direction of these linkages. We conduct a theory-building literature synthesis that combines comprehensive, systematic, and integrative reviews, supported by NVivo assisted thematic analysis, cluster mapping, and Python based text mining. The synthesis organizes five constructs: artificial intelligence human resource management augmentation, corporate security communication, employee engagement, risk governance maturity, and Cyber-FinTech employee retention. The propositions state that long-term retention is posited to depend on technical innovation, strategic alignment, communicative credibility, and an engagement supportive culture within risk mature environments. The framework provides guidance for human resource leaders, cybersecurity strategists, and FinTech boards that seek to stabilize digital talent pipelines while navigating regulatory pressure and cyber risk.