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Record W2074009058 · doi:10.1287/inte.32.2.28.59

In Search of Strategic Operations Research/Management Science

2002· article· en· W2074009058 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueINFORMS Journal on Applied Analytics · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsWestern University
Fundersnot available
KeywordsCompetitive advantageStrategic planningWork (physics)Strategic managementKey (lock)Inclusion (mineral)Profit impact of marketing strategyBusinessStrategic information systemStrategic thinkingStrategic financial managementKnowledge managementProcess managementInformation systemComputer scienceEngineeringMarketingManagement information systemsChemistry

Abstract

fetched live from OpenAlex

We define strategic OR/MS as “OR/MS work that leads to a sustainable competitive advantage.” We found evidence of strategic OR/MS in the literature of strategic information systems (SIS) and OR/MS. We examined 30 early examples of SIS, many of which contained OR/MS work. Many of the most successful had high OR/MS content, while the least successful contained none. The inclusion of OR/MS work may be a key to sustaining an advantage from information technology. We also examined the Edelman Prize finalist articles published between 1990 and 1999. We found that 13 of the 42 private sector applications meet our definition of strategic OR/MS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.255
GPT teacher head0.376
Teacher spread0.121 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it