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The Impact of International Business Transitions on India: Opportunities and Challenges

2024· article· en· W4391844969 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

VenueInternational Journal For Multidisciplinary Research · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsTrinity College
Fundersnot available
KeywordsInternational businessBusinessEconomic geographyGeographyManagementEconomics

Abstract

fetched live from OpenAlex

International business transitions are becoming more important for emerging countries like India as globalization continues to transform the global economy. Particularly in the previous three decades, Indian commercial firms, innovation, and entrepreneurship have undergone numerous transformations. The biggest shift came about as a result of national government policies that moved away from postcolonial Nehruvian socialism and opened up more economic opportunities for private companies and entrepreneurs. The decade of the 1990s marked a turning point for these momentous shifts. of the 1990s, Indian business experienced an incredible surge of energy and passion that had never been seen before in the post-Independence era. This study looks at how international business shifts affect India, highlighting the benefits and drawbacks of globalization. The study assesses how global business shifts have affected India's economy, society, and business environment. It also addresses the policies and tactics required for India to successfully manage these changes, maximize their potential advantages, and reduce any hazards involved.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.280
GPT teacher head0.417
Teacher spread0.137 · 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