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Record W2997132482 · doi:10.20525/ijrbs.v9i1.579

Does institutional ownership moderate the effect of intellectual capital and company value?

2020· article· en· W2997132482 on OpenAlex
Rahmita Dwinesia Paputungan, Bambang Subroto, Abdul Ghofar

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Research in Business and Social Science (2147-4478) · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsnot available
FundersMcMaster University
KeywordsIntellectual capitalStock exchangeBusinessNonprobability samplingSample (material)Value (mathematics)Enterprise valuePopulationAccountingRegression analysisBook valueFinanceEarnings

Abstract

fetched live from OpenAlex

This study aims to empirically examine the influence of intellectual capital towards company value and also its influence while being moderated by institutional ownership. This study uses purposive sampling to determine samples from manufacturing companies listed in Indonesia Stock Exchange during the year of 2014–2018. The total sample obtained in this study is 301 from the 720 population of data throughout the research year. Data analysis techniques use multiple regression and moderated regression analysis (MRA) methods. The results of this study show that Intellectual Capital has a positive significant effect on company value while institutional ownership does not have a significant effect on moderating the influence of intellectual capital towards company value. The practical implication of this study is to provide information to managers or owners of public manufacturing companies and investors about the importance of intangible assets investment like intellectual capital as the competitive strategies to achieve more optimal company value, as well as for regulator to make clear regulations about the disclosures of intangible assets.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.295
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.002
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 head0.053
GPT teacher head0.327
Teacher spread0.274 · 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