My research examines how environments shape entrepreneurial action, innovation, and strategic behavior, with particular attention to technology-based ventures. At its core, my work asks a simple but consequential question: why do similar individuals and organizations behave differently when they face the same opportunities? I address this question by studying how ecosystem support, institutional contexts, community resources, and individual perceptions interact to influence venture creation, scale-up, and performance.

A central stream of my research examines academic and university-based entrepreneurship, with a focus on academic spin-off ventures. In this work, I study how university-originated firms commercialize scientific knowledge and scale through their interactions with ecosystem actors. My research in this area investigates the role of intellectual property rights (IPR) regimes, organizational goal hybridity, ownership structure, and institutional constraints in shaping long-term performance, and firm survival.

A second major stream focuses on entrepreneurial ecosystems. I examine how contextual conditions at multiple levels (i.e., firm, intermediary, and policy) affect the emergence, growth, survival, and innovative output of high-technology ventures. This includes research on public–private partnerships, business incubation, regulatory environments, and ecosystem intermediaries, and how these elements shape both economic and social outcomes for nascent firms.

Across these research streams, I explicitly examine temporal dynamics and evolutionary processes. I study how firms and their internal contexts (such as governance structures, strategic orientation, and resource configurations) evolve over time, and how these changes interact with shifting institutional and ecosystem conditions. This temporal perspective allows me to capture not only whether environmental factors matter, but when, how, and for whom they matter as ventures grow, adapt, or exit.

Methodologically, I rely primarily on large-scale quantitative data and rigorous empirical approaches, including causal inference techniques, multilevel modeling, and computational simulation. By linking micro-level behavior to organizational and institutional contexts over time, my research contributes to entrepreneurship, strategy, and sustainability literatures while offering insights relevant to practitioners, policymakers, and ecosystem builders.