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Record W3110124988 · doi:10.5267/j.msl.2020.11.018

The effect on entrepreneurship student program on student’s entrepreneurial behavior in Indonesia

2020· article· en· W3110124988 on OpenAlexvenueno aff
Deden Dinar Iskandar, Imam Noor Said

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsTheory of planned behaviorIndonesianEntrepreneurshipIndonesian governmentStructural equation modelingControl (management)PsychologyGovernment (linguistics)MarketingSocial psychologyBusinessEconomicsManagementMathematicsStatistics

Abstract

fetched live from OpenAlex

This study adopts the Theory of Planned Behavior (TPB) framework to examine the effect of the government-initiated Entrepreneurship Student Program (ESP) on the entrepreneurial intentions and behavior of students. In addition, the research also examines the market information adequacy and standard psychological components of TPB, namely attitude, subjective norms, and perceived behavioral control as predictor variables. Data are collected from 208 university students in Semarang, Indonesia, with the Partial Least Squares - Structural Equation Modeling (PLS-SEM) technique employed for analysis. The result shows that ESP and the adequacy of market information directly influence the entrepreneurial behavior of Indonesian students, while the influence of attitudes and perceived behavior control is mediated by entrepreneurial intention. In conclusion, this study implies that ESP can be considered effective in preparing and facilitating entrepreneurship among university students, therefore the government needs to consider increasing its availability to cover a larger number of universities in Indonesia.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
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 head0.017
GPT teacher head0.272
Teacher spread0.256 · 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.

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

Citations4
Published2020
Admission routes1
Has abstractyes

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