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Record W3120996765 · doi:10.5267/j.msl.2020.12.019

The effects of entrepreneurial values and entrepreneurial orientation, with environmental dynamism and resource availability as moderating variables, on the financial performance and its impacts on firms’ future intention: Empirical evidences from Indonesian state-owned enterprises

2021· article· en· W3120996765 on OpenAlexvenueno aff
Sandiaga Salahuddin Uno, Hendrawan Supratikno, Gracia Shinta S. Ugut, Innocentius Bernarto, Ferdi Antonio, Yudistira Hasbullah

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsDynamismIndonesianEntrepreneurial orientationBusinessNonprobability samplingModerationResource (disambiguation)MarketingBusiness administrationUnit (ring theory)EntrepreneurshipAccountingFinancePsychologyPopulationSocial psychology

Abstract

fetched live from OpenAlex

This study focuses specifically on the effect of Entrepreneurial Values and Entrepreneurial Orientation on Financial Performance of Indonesian state-owned enterprise and also incorporates Environmental Dynamism (ED) and Resource Availability (RA) as moderating variables which will influence the effect of (i) Entrepreneurial Orientation (EO) on Financial Performance (FP), (ii) Entrepreneurial Values (EV) on Financial Performance (FP), and (iii) Entrepreneurial Values (EV) on Entrepreneurial Orientation (EO). In addition, this study also provides a better understanding about the effect of Financial Performance on Intention to Sustainable Development (ITS) as well as Financial Performance on Intention to Collaboration (ITC) in Indonesian state-owned enterprises. The method of analysis used in this study is PLS-SEM methodology with purposive sampling method. The unit of analysis is all the state-owned enterprises listed which consists of 81 out of 106 state-owned enterprises, while the unit of observation is individuals from those state-owned enterprises (represented by the paired CEO and CFO who are originated from the same company). The findings of this study are that there is a significantly positive effect of: (i) EV on EO; (ii) EO on FP; (iii) FP on ITS; and (iv) FP on ITC. Meanwhile, (i) there is not any significantly positive effect of EV on FP, and (ii) there is no significant moderating effect of ED and RA on the relationship between (1) EV and FP, (2) EO and FP, as well as (3) EV and EO.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.006
GPT teacher head0.205
Teacher spread0.199 · 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

Citations17
Published2021
Admission routes1
Has abstractyes

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