Strategy, Organization & Innovation
Assistant Professor of Strategy
Mitchell E. Daniels, Jr. School of Business
Purdue University
Editorial Board — Strategic Management Journal
Editorial Board — Organization Science
Editorial Board — Journal of Organization Design
Research Program
Firms do not adapt on a blank slate. Their ability to invent, acquire, absorb external knowledge, reorganize, and survive is shaped by the organizational architectures they inherit and build: formal structures, internal knowledge networks, firm boundaries, and early environmental conditions.
My research examines how these architectures shape the adaptive range of firms over time. Across studies of R&D organization, inventor networks, technological acquisitions, corporate groups, hiring, and high-growth ventures, I show that adaptation is not simply a managerial response to changing markets. It is conditioned by durable structures that make some strategic moves easier, others costly, and others increasingly difficult to reach.
Classic work in strategy, organization theory, and innovation has long recognized the tension between adaptation and constraint. My work builds on this tradition by documenting and quantifying how organizational architecture converts past choices into future strategic possibilities and constraints. Using large-sample econometrics, network analysis, and computational modeling, I show how structures that initially help firms coordinate knowledge, access external resources, or survive environmental shocks also shape the strategic paths firms can later recognize, pursue, and sustain.
My research examines how organizational architecture shapes the adaptive range of firms over time. The agenda unfolds across three linked questions.
Question 01
This work examines how external conditions and organizational design choices shape firm boundaries, R&D organization, and the internal structure of innovation.
Question 02
This work opens the black box of internal knowledge production by studying how inventor networks, hiring, and external knowledge flows shape innovation outcomes.
Question 03
This work studies how organizational architectures become durable, shaping acquisition strategy, reconfiguration patterns, survival, and valuation over time.
From the Research
Intrafirm inventor networks for the same firm under different R&D authority structures. Network topology shapes both the speed and character of within-firm knowledge recombination.Formal mathematical measures allow for replicable quantification of network structure across large samples of firms and over time, opening the black box of internal knowledge production and recombination.
Unifying Argument
Structure does not merely constrain adaptation. It produces and reproduces the conditions that make certain futures more accessible and others increasingly difficult to reach.
Much of strategy scholarship treats inertia, centralization, imprinting, and firm boundaries as separate explanations for firm behavior. This research program connects them through a common mechanism: organizational architecture. Across inventor networks, R&D authority, hiring dynamics, founding environments, acquisition strategy, and reconfiguration trajectories, I show how firms become organized for particular forms of adaptation — and how that organization shapes what they can do next.
The core tradeoff is between adaptive capacity and adaptive constraint. Structures that help firms coordinate knowledge, deepen expertise, and survive can also narrow their future strategic range. This tradeoff emerges within firms, persists over time, and shapes innovation, acquisition, survival, and performance.
Peer-Reviewed Publications
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.
Drawing on patent and inventor network data constructed for this research program, this study shows that specific network topologies, near-decomposability and integration, shape the speed at which firms build on their own knowledge across 1,417 large corporations over 26 years. Acceleration effects are strongest in the years immediately following an initial invention.
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.
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 firms rely more heavily on 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.
Under Review and Work in Progress
Building on the organizational plasticity framework and data methodology developed in prior work in this program, this study shows that early environmental shocks imprint high-growth ventures with reconfiguration capabilities that improve short-term market timing while creating longer-run survival risks, a finding that both extends and complicates the prior theoretical framework.
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.
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.
Peripheral inventor networks preserve differentiated knowledge that can support exploratory search. Inventors who move across network boundaries over time provide an intertemporal mechanism through which knowledge from the periphery can enter the core, clarifying how core-periphery structures contribute differently to exploration and exploitation.
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.
Develops a formal model of probabilistic switching in organizations, linking threshold dynamics and history-dependent response to persistent organizational behavior.
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.
Academic Positions
Education
Editorial Service
Selected Awards & Grants