The DOI matches its Crossref record.
Operations management research methodologies using quantitative modeling
Abstract
Gives an overview of quantitative model-based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model-based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model-driven empirical research offers a great opportunity for operations management researchers to further advance theory.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Estudo de caso na engenharia de produção: estruturação e recomendações para sua condução
Miguel, P. A. C. (2007) · Production · doi:10.1590/s0103-65132007000100015 · Cited by 287
Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
Bumblauskas, D., Gemmill, D., Igou, A., & Anzengruber, J. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.08.025 · Cited by 120
Metadata
- Authors
- Will M. Bertrand, J., & Fransoo, J. C.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2002-02
- Volume
- 22
- Issue
- 2
- Pages
- 241-264
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W2054270284
- Cited by
- 597
- References
- 0
- FWCI
- 23.02
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Operations management research methodologies using quantitative modeling. https://app.cochat.ai/papers/10.1108/01443570210414338
- The paper
- Will M. Bertrand, J., & Fransoo, J. C. (2002). Operations management research methodologies using quantitative modeling. International Journal of Operations & Production Management. https://doi.org/10.1108/01443570210414338
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
