Research

Primary research stream examining how organizations establish broadly accepted goals when political identities create fundamental value disagreements among employees. This work employs experimental designs testing legitimation strategies, combined with survey research across industries.

This research addresses one of the most pressing challenges facing organizational leaders today: how to maintain cohesion and pursue ethical goals when employees hold fundamentally different political worldviews that shape their perceptions of organizational legitimacy.

Published research establishing a multi-stage mediation model demonstrating how value congruence and organizational identification sequentially link ethical leadership to employee engagement outcomes. Drawing on social learning theory and relational identity theory, this work provides empirical evidence for the mechanisms through which ethical leadership translates into measurable organizational outcomes.

Based on data from 444 employees and 375 supervisors across multiple industries.

Developing and testing pedagogical frameworks designed to ensure authentic learning in the generative AI era. The “AI-Resilient Case Method” integrates synchronous in-class analysis, oral defense assessments, and adversarial case design to verify student competency and critical thinking when AI tools can generate surface-level answers to traditional assignments.

Presenting at the AI in Higher Education Summit (AIHES), ESCP Business School, Paris, March 2026. Read the paper →

This work also explores the integration of AI tools (such as Claude in Excel) as pedagogical instruments that enhance rather than replace analytical skill development in business education.