By name: organization-science description: Use when targeting Organization Science (OrgSci) or deciding whether an organization theory / behavior / innovation manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Organization Science (organization-science)
Journal positioning
Organization Science, published by INFORMS, is a leading multidisciplinary outlet for research on organizations — organization theory, organizational behavior, strategy, technology and innovation, and the science of how organizations are designed, behave, and change. Its hallmark is methodological pluralism in service of a theoretical contribution: it welcomes formal and computational modeling, simulation, qualitative and ethnographic work, lab and field experiments, and large-sample quantitative studies, provided each advances organization theory. The audience spans disciplines, so a paper must speak to a broad organizational-science conversation, not a narrow applied niche.
This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the INFORMS / Organization Science site and the submission system.
When to trigger
- The author names Organization Science (or the INFORMS organizational outlet / FT50 management elite) as the venue.
- A paper makes an organization-theory contribution using computational, qualitative, experimental, or quantitative methods.
- A modeling or simulation study about organizations needs a home that values formal methods with a theoretical payoff.
- The author needs OrgSci's desk-reject risks and a credible
administrative-science-quarterly/academy-of-management-journal/management-sciencealternative list.
Scope & topic fit
- Organization theory and design, organizational learning, knowledge, and adaptation; coordination, structure, and routines.
- Organizational behavior, identity, culture, networks, and decision-making within and across organizations.
- Technology, innovation, and the organization of R&D and digital work — a long-standing OrgSci strength.
- Multidisciplinary lenses (economics, sociology, psychology, computer science) applied to organizational questions.
Method & evidence bar
- A clear theoretical contribution is required; method is chosen to fit the question, and all rigorous methods are on the table.
- Computational/simulation papers must justify model assumptions, demonstrate robustness to parameters, and deliver theoretical insight, not just a working model.
- Qualitative work needs transparent analysis and a credible data-to-theory path; quantitative work needs sound identification and measurement.
- Experiments require clean design and appropriate inference; mechanism and generalizability matter.
Structure & house style
- The front end frames a theoretical problem in organization science and positions it across relevant disciplines.
- Method sections are detailed and transparent — for formal/computational work, assumptions and sensitivity analyses are expected up front.
- The discussion states the contribution to organization theory and connects it to the broader multidisciplinary conversation.
- OrgSci values clarity and rigor; exhibits should make the theoretical mechanism and results legible.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked. - Search the live site for "Organization Science submission guidelines / author guidelines" (INFORMS) and follow the current version.
- Re-check word/length limits, abstract format, anonymization for double-blind review, reference style, and code/data and replication expectations for computational work.
- Re-check current open-science, data-availability, and AI-use disclosure policies, and any INFORMS-wide submission requirements.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- One sentence stating the contribution to organization theory.
- The chosen method (computational / qualitative / experimental / quantitative) is rigorous and fit to the question.
- For formal/computational work, assumptions, robustness, and the theoretical insight are explicit.
- The paper speaks to a broad, multidisciplinary organizational-science audience, not a narrow niche.
- Framing, references, and anonymization match the current OrgSci guide.
Common desk-reject triggers
- A method or model with no organization-theory contribution (a working simulation or a clean effect is not enough).
- A narrow applied study with no broader theoretical or multidisciplinary relevance.
- Computational work without justified assumptions or sensitivity analysis; qualitative work without transparent analysis.
- An operations/optimization or pure-analytics paper with no organizational-theory payoff (belongs at an OM/OR venue).
Re-routing decision
- Sociology-of-organizations craft at the highest selectivity →
administrative-science-quarterly; theory-driven management empirics →academy-of-management-journal. - Pure conceptual theory, no data →
academy-of-management-review; integrative review →academy-of-management-annals. - Strategy/firm-performance core →
strategic-management-journal; European process/institutional/critical theory →organization-studies; interdisciplinary work-and-organization →human-relations. - Optimization/analytics with no org-theory payoff →
management-science; innovation/STI policy →research-policy; broad management empirics →journal-of-management-enorjournal-of-management-studies.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Organization Science
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the method deliver an organization-theory contribution at OrgSci's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / length / references / code-data for computational work / AI disclosure>
[Re-route suggestion] <if not a fit, a better-matched venue>