Research
My research spans organizational theory, AI in education, and the intersection of technology and organizational behavior.
Application Layer Communication (ALC)
My dissertation framework. ALC reconceptualizes expertise not as possessed knowledge but as communicative competence developed through sustained engagement with domain-specific discourse. Extended-context LLMs function as mediators that enable this competence at scale — fundamentally challenging internalist epistemology and traditional knowledge management paradigms.
Platform Literacy & Implicit Acquisition
Investigating how workers develop fluency with algorithmic platforms without explicit instruction — through pattern recognition, trial-and-error, and social transmission. Examines why awareness of algorithmic systems rarely translates into effective coordination, and what a literacy-based model of platform competence looks like.
Epistemology & Theory Development
The management science field demands both theory and data in every paper, creating a double bind that suppresses both observational discovery and ambitious speculation. This work examines methodological foundations — the case for subjective priors, Bayesian epistemology as formalized sensemaking, and why foundational paradigms like institutional theory emerged from conceptual reasoning, not data.
Algorithmic Management & Coordination
Studying how algorithmic systems reshape organizational coordination. Key problems include asymmetric interpretation (workers cannot read the algorithmic logic that reads them), machine orchestration as hidden organizational architecture, and how co-optation dynamics play out when coordination is delegated to code.
AI in Education & Knowledge Work
Building and theorizing AI-powered educational tools. Research addresses why policy reports fail to explain AI's educational variance, how cumulative hour-logging of communicative engagement serves as a superior expertise metric, and the organizational implications of workers who coordinate through extended-context AI rather than explicit knowledge retrieval.
ALC Stratification & Digital Inequality
ALC fluency is becoming a new axis of stratification. As communicative competence with algorithmic systems determines coordination outcomes, differential access maps onto existing inequalities. This research develops psychometric measurement of ALC fluency, models how competence gaps form and compound, and applies justice theory to the algorithmic distribution of opportunity.
Roger Hunt