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Record W3018238870 · doi:10.18535/ijsrm/v8i02.em04

Recent trends in exports of computer software and information technology enabled services from India

2020· article· en· W3018238870 on OpenAlexaboutno aff
Muddassar Azam Sindhu

Bibliographic record

VenueInternational Journal of Scientific Research and Management (IJSRM) · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsSoftwareBusinessService (business)Tertiary sector of the economyPosition (finance)Computer softwarePrivate sectorInformation technologyPublic sectorInternational tradeCommerceMarketingEconomyEconomicsEngineeringFinanceEconomic growthComputer science

Abstract

fetched live from OpenAlex

Software industry occupies an important place in Indian economy. This sector has a significant role in term of contribution to GDP, employment, export earning etc. The present paper examined the performance of software service exports from India. The software service exports comprises of computer services and information technology enabled serices (ITES). The recent trends in the software export shows that the export earning has increased. The growth rate of export of this sector is 13 per cent during 2008-2019 period. ITES service exports shows a higher growth rate than the computer service exports during 2008-19 period. Though the public limited company was the major contributor of exports, in the last two years the private sector occupies the position. Major destination of software exports are USA and Canada. Majority of the software service exports are through the cross border supply, ie through Mode-1.

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.

How this classification was reachedexpand

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.039
GPT teacher head0.266
Teacher spread0.227 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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