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Record W4410832046 · doi:10.3390/jrfm18060294

The Effect of Successful Value-Based Management on Decision-Making Effectiveness, Business Value Creation, Corporate Competency, and Corporate Sustainability Based on the Perceptions of Accounting Directors of Thai Listed Companies

2025· article· en· W4410832046 on OpenAlexvenueno aff
Nattawut Tontiset

Bibliographic record

VenueJournal of risk and financial management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessAccountingSustainability reportingCorporate sustainabilityValue (mathematics)SustainabilityManagement accountingPerceptionValue creationBusiness administration

Abstract

fetched live from OpenAlex

The aim of this study is to examine the impact of VBM success on the corporate sustainability of Thai listed firms. The effects of successful VBM on decision-making effectiveness, business value creation, and corporate competency are also investigated. Both contingency theory and the relevant literature are utilized to aid in effectively comprehending the consequences of successful VBM. Thai listed companies were selected as the sample for this study, and data collected from 101 accounting directors through questionnaires were used as the research instrument. PLS-SEM was employed to test the hypothesized relationships. The results found that successful VBM has a considerable impact on company sustainability, owing primarily to indirect effects through mediating variables, such as business value generation and corporate competence, rather than direct effects, which are not significant. As a result, it is possible to conclude that good VBM implementation will increase business sustainability through processes or mediating variables, rather than directly affecting it. In addition, the success of VBM significantly improves the business value creation and corporate competency. Lastly, effective decision-making, the creation of company value, and corporate competency all significantly enhance corporate sustainability. Contributions from management and theoretical perspectives are openly provided. Recommendations, conclusions, and future study directions are also highlighted and discussed herein.

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)0.007
metaresearch head score (Gemma)0.003
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 score0.242
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.276
Teacher spread0.265 · 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
Published2025
Admission routes1
Has abstractyes

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