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The Role of Enterprise System Implementation in International Joint Venture Development: Exploring the Relationship

2004· article· en· W1722058596 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 · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicERP Systems Implementation and Impact
Canadian institutionsMcMaster University
Fundersnot available
KeywordsInternational joint ventureConstruct (python library)BusinessJoint ventureJoint (building)Value (mathematics)Enterprise systemInvestment (military)Process managementKnowledge managementIndustrial organizationOperations managementComputer scienceEconomicsPolitical scienceBusiness administrationEngineering

Abstract

fetched live from OpenAlex

Abstract In recent years, the rapid development in International Joint Ventures (IJV) has been a significant phenomenon under the global economy, especially in the developing countries. However, high failure rates and hence the huge investment risks make the promised advantages unpredictable. In this study, we explore the role of Enterprise System (ES) implementation in the journey of IJV development. We study the impacts of ES to IJV through a comparison study for their relationship that involves three scenarios: implementing ES prior to, parallel to, or after IJV operation. We then construct a generic framework for the optimal strategy based on findings from both ES and IJV literature. We also use a comparative case study approach to illustrate the value of this framework. We conclude our study with some discussions on possible extensions to innovation management as future research directions.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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