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IT‐enabled Services as Development Drivers in Low‐Income Countries: The Case of Fiji

2002· article· en· W2156367074 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

VenueThe Electronic Journal of Information Systems in Developing Countries · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOutsourcing and Supply Chain Management
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsOutsourcingBusinessOrder (exchange)Service delivery frameworkService providerDeveloping countryService (business)Low incomeEconomic growthMarketingFinanceEconomics

Abstract

fetched live from OpenAlex

Abstract This paper examines the options available to a developing country, Fiji, for participating in the exploding international trade in IT‐enabled business services. A rapidly‐growing portion of this trade takes place when firms from developed countries purchase services from providers located in low‐income countries or place remote service delivery facilities in such locations. The paper describes the segments of IT‐enabled business services in terms of their skill‐intensity and the value they add, and discusses current trends in the international trade in business services, with particular emphasis on North‐South service outsourcing. The paper identifies conditions that low‐income countries must create in order to develop entry‐level IT‐enabled service delivery capability and then analyses Fiji's potential to develop or attract such services delivery capability. Policy options to facilitate the development of an indigenous IT‐enabled service industry in Fiji are proposed.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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