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Management-Science Tools & Resources

This document lists external data sources, modeling/analysis software, and writing tools commonly used when preparing a manuscript for Management Science (INFORMS). Because Management Science is deliberately bimethodological — rigorous analytical/quantitative modeling and empirical work across accounting, finance, marketing, operations, information systems, strategy, entrepreneurship, organizations, and behavioral economics — the toolkit spans optimization/OR, stochastic modeling, econometrics, experiments, and data science. Match the toolset to your Department. Always verify licensing terms and current INFORMS/Management Science policies before using any resource.

1. Analytical / OR modeling (the formal-theory lane)

Optimization & mathematical programming

Tool Note
Gurobi Commercial LP/MIP/QP solver; academic license available
CPLEX (IBM) LP/MIP/QP; academic access
Mosek Conic / semidefinite programming
JuMP (Julia) Algebraic modeling layer over many solvers
Pyomo / cvxpy (Python) Modeling for optimization and convex programs
AMPL / GAMS Algebraic modeling languages

Stochastic models, simulation & game theory

  • Symbolic / analytical: Mathematica, Maple, SymPy — closed-form derivations, comparative statics, proofs.
  • Stochastic processes / queueing / MDPs: custom code in Julia/Python/MATLAB; QuantEcon for dynamic programming.
  • Discrete-event / agent-based simulation: SimPy, AnyLogic, Arena; common variance-reduction and CI reporting.
  • Equilibrium / mechanism design: numerical fixed-point and best-response solvers; verify uniqueness/existence arguments.

For Optimization and Decision Analytics, Stochastic Models and Simulation, and Operations Management submissions, the bar is a clean model, stated assumptions, proved results (propositions/theorems), and managerial insight that travels beyond the specific instance.

2. Empirical analysis software (the data lane)

Econometrics / archival (finance, accounting, strategy, IS)

  • Stata: reghdfe (high-dimensional FE), ivreghdfe/ivreg2 (IV/2SLS), did/csdid (modern DiD), xtreg, psmatch2/teffects, cluster-robust SE.
  • R: fixest, plm, did, MatchIt, sandwich; Python: linearmodels, statsmodels, econml (heterogeneous treatment effects).

Behavioral / experimental (Behavioral Economics & Decision Analysis, Marketing, OB)

  • Experiment platforms: oTree, Qualtrics, Prolific, MTurk, CloudResearch.
  • Power & design: G*Power, R pwr/simr.
  • Structural / choice models: apollo (R), biogeme (Python) for discrete-choice estimation.

Data science / ML (Data Science department)

  • Python scikit-learn, PyTorch, xgboost; R tidymodels; reproducible pipelines with held-out validation and honest out-of-sample reporting.

3. Reproducibility — Data and Code Disclosure (front-loaded, verified)

Management Science enforces a Code and Data Disclosure Policy (effective June 1, 2019; revised April 20, 2026). Authors provide an AsCollected project-page URL at submission, and accepted numerical/computational papers must provide data, programs, and details sufficient to permit replication before production. Build for this from day one:

  1. A single master script that regenerates every table/figure/proposition-illustration in the main text from raw inputs.
  2. A README with exact software versions, seeds, run order, and expected runtime; pin solver/package versions.
  3. For analytical papers: numerical code and notebooks that reproduce every figure and computed example; symbolic-derivation files where used.
  4. A data-availability statement, sources, and access/confidentiality terms; a de-identified dataset and codebook where sharing is permitted.
  5. Author-contribution disclosure and an AsCollected project page URL provided at submission.
  6. For proprietary or sensitive data, a disclosure plan that preserves replicability while respecting access limits.

4. Reference & writing tools

Tool Note
LaTeX / Overleaf Common for analytical papers; INFORMS provides article templates — verify the portal accepts your format
Zotero / EndNote / Mendeley Configure to author-year (name–date) output, e.g., (Norman 1977)
BibTeX informs / journal style Reconcile against the current Management Science style
Grammarly Language polish

Management Science uses author-year in-text citations with an alphabetical reference list; configure your reference manager accordingly and reconcile against the current submission guidelines.

5. Submission & process

  • Portal: ScholarOne Manuscripts ("Manuscript Central") at mc.manuscriptcentral.com/mnsc (via INFORMS PubsOnline); seven-step upload workflow.
  • Fee: USD $79 per original submission (effective Aug 1, 2025), with INFORMS-member and low-income-economy waivers and an honor-based no-justification waiver — verify current amount and mechanics.
  • Abstract ≤ 250 words; 3–5 keywords; double-anonymized review — remove all identifiers and disclose any conference-proceedings version anonymously in the cover letter.
  • ORCID: keep an ORCID linked to your account.

6. Verify before you rely

Department/area-editor routing, the submission fee and waivers, length limits for invited revisions, the citation style, and the Data and Code Disclosure verification workflow change over time. Always confirm the current requirements on the official Management Science submission guidelines and Code and Data Disclosure Policy pages before submitting.