Research Program
Assistant Professor of Strategy
Mitch Daniels School of Business· Purdue University
Editorial Boards: Strategic Management Journal · Organization Science · J. of Organization Design
The author.
My research examines how organizational structure forms, why it persists, and how it shapes what firms can learn and become. Informed by years of experience managing organizational restructuring, my dissertation "Internal Capital, External Knowledge, and Random Draws: Three Drivers of Organizational Structure" laid out this agenda. The work since has deepened each of its three drivers and increasingly their convergence. The program's methodological and theoretical range serves a set of interrelated questions. Solo longitudinal archival work establishes that technological acquisition is to some extent not a continuous choice but a trajectory that can belocked in early. Patent-based network analysis maps how structure channels knowledge within the firm. Computational and formal modeling isolates the mechanisms that archival data cannot observe. Figure 1 locates projects on theoretical and empirical dimensions: Rings mark the level of observation, hatching marks the driver.
Three drivers, three levels of observation. Fine print at the core is an invitation to zoom.
FIG. 1. Rings mark the level of observation: mechanisms at the core, intrafirm constructs in the middle, firm-environment interface at the boundary. Click any box or circle to see its note.
FIG. 2. Two of the intrafirm inventor networks constructed for Argyres, Rios & Silverman (2020): the same firm under different R&D authority structures. I built one of these maps for every firm-year in the sample, from patent co-invention records, allowing replicable quantification of network structure across large samples and over time.
FIG. 3. Patterns of patent assignment from Arora, Belenzon & Rios (2014), top 30 affiliates shown: a decentralized pattern (Johnson & Johnson, left) and a centralized one (Abbott Laboratories, right). The patent-assignment-based measure of R&D decentralization built from these data underlies the finding that decentralized units, positioned at the market boundary, derive more value from external knowledge.
FIG. 4. Two learning histories after a 'perfect' hire, from Pham, Rios & Workiewicz (2025): 'lucky jumps' (left) and 'tug of war' (right). Star markers are changes proposed by the new hire; round markers, changes resulting from voting rounds with incumbent employees. The inertia, unfreezing, and change phases of the right panel show why the value of hiring is realized dynamically rather than at the moment of acquisition.
FIG. 5. The mechanism of hysteresis, interactive. Each dot in the left panel is a hysteron, an elementary relay that switches up when the input passes its threshold α and down when it falls below a lower threshold β; filled dots are up, hollow dots are down. The inset in the empty half below the diagonal unpacks one representative relay (the red-ringed dot nearest the population center): rising input flips its marker up at α, falling input flips it down at β, and the thresholds themselves relocate as the population and spread sliders move. Drag the input and the red front sweeps the population: rising input flips relays from the bottom of the triangle, falling input flips them from the side, so which relays are on depends on the direction of travel, not just the level. The right panel traces the resulting path; the dashed outline is the major loop from a full sweep. Reverse course inside the loop and the trace forms nested minor loops that close on their own turning points: return-point memory, the formal signature at the center of the hysteresis work above. More hysterons smooth the curve; wider threshold spread fattens the loop. Changing the population restarts the sweep from negative saturation.
The Convergence
Structure is what the three drivers jointly produce, and what shapes downstream choices and outcomes.
The arc: environments and early conditions shape structure and trajectory. Structure channels knowledge creation and absorption. The structures formed persist.
Peer-Reviewed and Conditionally Accepted
Building on the organizational plasticity framework and data methodology developed in prior work in this program, a study of 19,984 venture-backed startups finds that early disaster exposure imprints structural fluidity that carries a trade-off: it improves market timing while raising mortality risk. LinkedIn personnel histories from a knowledge-intensive subsample show what imprinted fluidity looks like inside the firm: flatter hierarchies, greater role overlap, and broader, non-standard hiring.
Computational modeling reveals a mechanism of inertia: firms with high internal fit may face greater difficulty absorbing external knowledge because new hires disrupt tightly matched internal routines, even absent cognitive or social barriers. The value of hiring is realized dynamically rather than at the moment of acquisition.
Winner, Best Paper Award, Behavioral Strategy Interest Group, and nominee, Best Conference Paper Award, SMS Annual Conference 2025.
Drawing on patent and inventor network data, we show that specific network topologies, near-decomposability and integration may influence the speed at which firms build on their own knowledge before rivals can expropriate. We provide the first systematic large-scale documentation of Generative Appropriability, the race to recombine internal knowledge before it leaks and becomes external knowledge for rivals. A novel finding is that this process is strongly conditioned by organizational structure.
A firm's acquisitiveness is not simply a contemporaneous response to market opportunities. Using 1,201 IPO firms observed over 20 years, this paper shows that favorable conditions during a firm's early plastic period can shape persistent acquisition trajectories that remain visible across later market conditions. External sourcing is not a continuous choice but a trajectory, locked in early and persistent for decades.
Using inventor network measures developed in this line of research, formal R&D authority changes propagate through informal inventor networks over a multi-year lag. Centralization increases inventor connectedness, which in turn broadens innovation impact and technological search, showing how formal structure shapes research behavior through informal networks.
Develops a patent-assignment-based measure of R&D decentralization to show how organizational structure shapes the mode of innovation: centralized firms extract more value from internal R&D, while decentralized units, positioned at the market boundary, derive more value from external knowledge.
Using firm-level data across 15 countries, this paper shows that underdeveloped external capital markets encourage corporate group formation, linking macro-environmental conditions to firm-boundary decisions. The literal case of the internal-capital driver: where external markets fall short, firms construct internal ones.
Under Review and Work in Progress
Computational modeling suggests that remote work can improve outcomes in simple, stable environments but hinder organizational learning in complex, turbulent ones. These effects depend on organizational structure, implying that effective remote-work adaptation may require redesigning communication and coordination architecture, not policy adjustments alone.
Documents inventors who are sequentially embedded, deeply inside one region of the firm's network and then deeply inside another, carrying knowledge across boundaries that no single tie spans. Sequencing may unbundle the closure-brokerage tradeoff: within each region, the high-bandwidth transfer of closure; across regions, the non-redundant access of brokerage. The construct is dynamic embeddedness over time, not a static bridging position in a snapshot.
Group-based trajectory modeling across thousands of firms documents a broad tradeoff: firms following persistent transactional reconfiguration patterns exhibit higher survival rates but lower market valuations. The trajectories associated with survival differ from those associated with value creation.
In the 2020 paper, centralizing R&D increased inventor connectedness but decentralizing did not symmetrically unwind it, a directional asymmetry consistent with hysteresis. New formal modeling seeks to explain why: the components of informal ties run on different clocks. Knowing who knows what arrives in a single encounter and fades only as knowledge becomes obsolete, while trust accumulates slowly and rarely dissolves.
Compares alliances and acquisitions as alternative channels to external resources, examining the conditions under which the two modes complement one another and those under which they substitute.
Interdisciplinary & Formal Modeling Publications
Peer-reviewed work on hysteresis, threshold dynamics, and path-dependent switching. These projects reflect formal foundations for my current research on organizational persistence, adaptive constraint, and dynamic embeddedness.
Uses formal hysteresis modeling to examine how social interaction within firms can generate path-dependent organizational outcomes.
Extends hysteresis logic to economic decision-making, showing how prior states and threshold effects can make organizational and economic responses history-dependent rather than immediately reversible.
Develops a formal model of probabilistic switching in organizations, linking threshold dynamics and history-dependent response to persistent organizational behavior.
Academic Positions
Education
Editorial Service
Selected Awards & Grants