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Record W1523584360 · doi:10.9876/sim.v10i2.171

Sur-utilisation des TIC et des sites web : une spécificité de l'économie insulaire réunionnaise ?

2005· article· fr· W1523584360 on OpenAlex
Christine Jaeger, Alidou Ouédraogo, Thierry Grange

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

VenueSystèmes d information & management · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsMetropolitan areaICTSInformation and Communications TechnologyRelation (database)Context (archaeology)ProductivityCompetitive advantageBusinessEuropean unionRegional scienceEconomic geographyMarketingGeographyPolitical scienceEconomicsInternational tradeEconomic growthComputer science

Abstract

fetched live from OpenAlex

This article addresses the use of information and communications technologies (ICT) in the context of Reunion Island, an ultraperipheral region of the European Union. Our research is based on a sample of 118 of Reunion's most prominent companies. Upon observing that the amount of equipment and the uses of ICT are superior in Reunion than in metropolitan entreprises of the same size, we tried to understand the reasons why ICTs were used more intensively in Reunion and whether this more intensive level of use was linked to differentiated productive or competitive performances. On one hand, much of the literature on these questions posits a paradox in productivity in relation to ICTs. However, today such a paradox has been largely refuted or is highly moderated On the other hand, we noted that Management literature emphasizes the conditional nature of the link between competitiveness and ICTs. Is the more intensive use of ICTs by Reunion businesses linked to the characteristics of the local economic structure and the remote location of businesses in relation to France and Europ? Indeed, all Reunion businesses do not fit the same mould and differentiations between them should be found. This brings us to the three core questions of this article: Do businesses distinguish themselves in their profiles based on their degree of computerization? To what extent do external relations, particularly remote location in relation to suppliers, affect this differentiation and the uses of ICT? Are the productive and competitive performance results in business profiles differentiated according to their degree of computerization? Our research supported a relatively robust confirmation of the first two points, but a more tenuous confirmation of the third. The use of ICTs appears to be a response to the constraints of distance for some businesses whereas for others it is more akin to an offensive strategy. Indeed, ICTs appear to be a modus operandi that is no doubt more necessary in Reunion than elsewhere, but not sufficient in itself to yield universally beneficial results.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.007
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.029
GPT teacher head0.275
Teacher spread0.246 · 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