
Paul Leonardi
VerifiedUniversity of California, Santa Barbara · Technology Management Program
Active 1948–2024
Research topics
- Computer Science
- Political Science
- Artificial Intelligence
- Sociology
- Knowledge management
- Business
- Psychology
- Marketing
- Process management
- Social psychology
- Engineering
- Cognitive science
- Public relations
- Telecommunications
Selected publications
Experts at Coordination: Examining the Performance, Production, and Value of Process Expertise
Journal of Communication · 2020 · 44 citations
Senior authorCorresponding- Computer Science
- Knowledge management
- Computer Science
Abstract This paper argues that coordination among domain experts can be viewed as a distinct form of knowledge in itself, and an area in which an individual may become an expert. We discuss why domain experts may be ill-equipped to coordinate their knowledge with the knowledge of others, and why individuals with process expertise may be better equipped to facilitate coordination between domain experts. Drawing on a qualitative study of nurses organizing emergency pediatric transfers, we demonstrate how process expertise is established, maintained, and enacted through situated communicative practices. The analysis characterizes process expertise as operating interdependently with, but distinct from, domain expertise, and shows how process expertise can aid in settings that demand complex coordination. This work challenges assumptions that coordination among domain experts is best addressed through supporting network connections or overcoming interpretive obstacles, and offers an alternative way to support coordination by cultivating process experts.
Contextual Trustworthiness of Organizational Partners: Evidence from Nine School Networks
Manufacturing & Service Operations Management · 2020 · 12 citations
Senior authorCorresponding- Political Science
- Computer Science
- Public relations
Problem definition: Trustworthy partners in procurement and service relationships are an asset. How can organizations discern trustworthy from untrustworthy partners, especially early on, so as to not waste time or resources on bad relationships? Academic/practical relevance: Like prior studies, we take the perspective that organizations rarely know whether a partner is trustworthy, but also that organizations often have some evidence of a partner’s trustworthiness, even before interacting. We argue a qualitative study is needed to understand how people discern a partner’s trustworthiness and the consequences of initial perceptions on the relationship trajectory. Methodology: We conduct an interview-based study of how people discern trustworthy partners in a setting where doing so is challenging: the education sector. Kindergarten-through-12th-grade schools must choose outside partners to rely on for resources or services the school cannot afford. Potential partners are numerous and of variable trustworthiness. Results: We find people use contextual factors as evidence of a potential partner’s trustworthiness, such as the partner’s institutional affiliations, physical proximity, and relationships with other schools. Sometimes the evidence indicates that a partner acts intrinsically trustworthily, regardless of these contextual factors. In other cases, the evidence indicates a partner acts contextually trustworthily, meaning partners follow through in some conditions but not others. Intrinsically trustworthy partners provide valuable but standardized resources or services. Contextually trustworthy partners provide the competitive advantage: customized resources that are not easily accessible by other schools. Managerial implications: People in organizations identify trustworthy partners via contextual factors, which helps them determine whether a partner acts trustworthily independent of context or conditional on context. The value of intrinsically trustworthy partners derives from their low risk and high quality, whereas the value of contextually trustworthy partners derives from their willingness to customize resources or services to some—but not all—organizations.
Organization Studies · 2020 · 323 citations
1st authorCorresponding- Sociology
- Computer Science
- Sociology
The digitization, digitalization, and datafication of work and communication, coupled with social and technical infrastructures that enable connectivity, are making it increasingly easy for the behaviors of people, collectives, and technological devices to see and be seen. Such digital connectivity gives rise to the important phenomenon of behavioral visibility. We argue that studying the antecedents, processes, and consequences of behavioral visibility should be a central concern for scholars of organizing. We attempt to set the cornerstones for the study of behavioral visibility by considering the social and technological contexts that are enabling behavioral visibility, developing the concept of behavioral visibility by defining its various components, considering the conditions through which it is commonly produced, and outlining potential consequences of behavioral visibility in the form of three paradoxes. We conclude with some conjectures about the kinds of research questions, empirical foci, and methodological strategies that scholars will need to embrace in order to understand how behavioral visibility shapes and is shaped by the process of organizing as we catapult, swiftly, into an era where artificial intelligence, learning algorithms, and social tools are changing the way people work.
Recent grants
CAREER: The Role of Advanced Simulation Technologies in Innovation Processes
NSF · $277k · 2014–2017
Improving the Effectiveness of Organizational Knowledge Transfer Through Social Media Use
NSF · $309k · 2014–2018
Outsourcing Attention Management to Human and Artificial Agents in Organizations
NSF · $348k · 2019–2023
NSF · $136k · 2014–2016
Leveraging Informal Organizational Networks for Successful Digital Transformation
NSF · $333k · 2021–2025
Frequent coauthors
- 16 shared
Diane E. Bailey
Cornell University
- 10 shared
Noshir Contractor
- 9 shared
Jeffrey W. Treem
- 8 shared
Emily Truelove
- 7 shared
William C. Barley
University of Illinois Urbana-Champaign
- 6 shared
Stephen R. Barley
- 5 shared
Michèle H. Jackson
Michigan State University
- 5 shared
Emmanuelle Vaast
McGill University
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Paul Leonardi
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup