Organizations -- private and public, established and entrepreneurial,
designed and emergent, formal and informal, profit and nonprofit -- are
critical to the well-being of nations and their citizens. They are of
crucial importance for producing goods and services, creating value,
providing jobs, and achieving social goals. The Science of Organizations
(SoO) program funds basic research that yields a scientific evidence
base for improving the design and emergence, development and deployment,
and management and ultimate effectiveness of organizations of all
kinds.
SoO funds research that advances our fundamental
understanding of how organizations develop, form and operate. Successful
SoO research proposals use scientific methods to develop and refine
theories, to empirically test theories and frameworks, and to develop
new measures and methods. Funded research is aimed at yielding
generalizable insights that are of value to the business practitioner,
policy-maker and research communities.
SoO welcomes any and all
rigorous, scientific approaches that illuminate aspects of organizations
as systems of coordination, management and governance.
In considering whether a particular project might be a candidate for consideration by SoO, please note:
Intellectual
perspectives may involve (but are not limited to) organizational
theory, behavior, sociology or economics, business policy and strategy,
communication sciences, entrepreneurship, human resource management,
information sciences, managerial and organizational cognition,
operations management, public administration, social or industrial
psychology, and technology and innovation management.
Phenomena
studied may include (but are not limited to) structures, routines,
effectiveness, competitiveness, innovation, dynamics, change and
evolution.
- Levels of analysis may include (but are not
limited to) organizational, cross-organizational collaborations or
relationships, and institutional and can address individuals, groups or
teams.
- Research methods may be qualitative and quantitative and
may include (but are not limited to) archival analyses, surveys,
simulation studies, experiments, comparative case studies, and network
analyses.
To learn more about this opportunity click
HERE