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Record W2998691110 · doi:10.5430/rwe.v10n5p157

Incentive Effects of Granting Equity-Based Payment on Reducing Top Executive Turnover

2019· article· en· W2998691110 on OpenAlexvenueno aff
Zuriadah Ismail, Noor Lela Ahmad, Norlia Mat Norwani, Mohd Nazir bin Md Zabit

Bibliographic record

VenueResearch in World Economy · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveBusinessEquity (law)PaymentCashFinanceAccountingEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

The main focus of the study is to examine the incentive effect of granting equity-based payments for reducing turnover among the executives. In specific, the study was guided on determining the influencing effects of managerial ownership and equity-based payment may reduce executive turnover among the Malaysian Listed companies. From the analysis, the main finding shows that firms with equity-based programme with a presence of family control indicates that turnover is likely to be a lower. This implies that family ties play a significant role for removing of inefficient executives. And, where the family members are also served as the board members, the likelihood to shield from being removed is consistent with the management entrenchment hypothesis. Then, extended examination results for the mix pay components of cash and equity reveal the turnover is found to produce less incentive for executives to stay in the firm. The result implies that executives are willing to lose their equity benefits from unexercised value of shares equity and nd the firms fail to restrain executives’ departure as the findings documented in past studies.

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 score0.209
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.042
GPT teacher head0.308
Teacher spread0.266 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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