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Operational research from Taylorism to Terabytes: A research agenda for the analytics age
Open accessAbstract
The growing attention and prominence afforded to analytics presents a genuine challenge for the operational research community. Many in the community have recognised this growth and sought to align themselves with analytics. For instance, the US operational research society INFORMS now offers analytics related conferences, certification and a magazine. However, as shown in this research, the volume of analytics-orientated studies in journals associated with operational research is comparatively low. This paper seeks to address this paradox by seeking to better understand what analytics is, and how operational research is related to it. To do so literature from a range of academic disciplines is analysed, in what is conceived as concurrent histories in the shared tradition of a management paradigm spread over the last 100 years. The findings of this analysis reveal new insights as to how operational research exists within an ecosystem shared with several other disciplines, and how interactions and ripple effects diffuse knowledge and ideas between each. Whilst this ecosystem is developed and evolved through interdisciplinary collaborations, individual disciplines are cast into competition for the attention of the same business users. These findings are further explored by discussing the implication this has for operational research, as well as considering what directions future research may take to maximise the potential value of these relationships.
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Metadata
- Authors
- Mortenson, M. J., Doherty, N. F., & Robinson, S.
- Affiliations
- Loughborough University (GB)
- Corresponding author
- Robinson, Stewart
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 241
- Issue
- 3
- Pages
- 583-595
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W2121991049
- Cited by
- 235
- References
- 116
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 16 · 2023: 18 · 2022: 19 · 2021: 35 · 2020: 28 · 2019: 36 · 2018: 26 · 2017: 17 · 2016: 10 · 2015: 9
- FWCI
- 27.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Operational Research (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by)
- Newcastle University ePrints (Newcastle Univesity) (cc-by)
- Funders
- Operational Research Society
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
- Keywords
- operational research, data analytics, history of management thought, scientific management, interdisciplinary collaboration, research agenda, INFORMS, management paradigms, knowledge diffusion, business users, analytics adoption
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 ›
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