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Record W6986421372

PENGARUH BIAS PERILAKU YANG DIMODERASI OLEH LITERASI KEUANGAN, KEMAMPUAN KOGNITIF, DAN EFIKASI DIRI TERHADAP KEPUTUSAN INVESTASI SAHAM PADA GENERASI MUDA DILINGKUNGAN BALAI WILAYAH SUNGAI SUMATERA V PADANG

2023· dissertation· en· W6986421372 on OpenAlexaff

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2023
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicProduct Development and Customization
Canadian institutionsWSP (Canada)WiLAN (Canada)
Fundersnot available
KeywordsChristian ministryInvestment (military)Stock (firearms)Financial literacyInvestment decisionsDividendClean water
DOInot available

Abstract

fetched live from OpenAlex

PENGARUH BIAS PERILAKU YANG DIMODERASI OLEH LITERASI KEUANGAN, KEMAMPUAN KOGNITIF, DAN EFIKASI DIRI TERHADAP KEPUTUSAN INVESTASI SAHAM PADA GENERASI MUDA DILINGKUNGAN BALAI WILAYAH SUNGAI SUMATERA V PADANG \nABSTRACT \nEmployees in the Padang Sumatra V River Basin Office are under the Ministry of Public Works and Public Housing, where the majority of employees are young people who decide to invest in stocks as a guide and provision for their life which is obtained from capital gains and dividends that can be used for the future if the employment relationship is later abolished. and contracts that cannot be extended due to political affairs. Based on this, this study aims to analyze the effect of behavioral bias, cognitive ability, and self-efficacy on stock investment decisions with financial literacy as a moderator. Data comes from 137 younger generation employees who are collected through online structured questionnaires (Google Forms). Structured equation modeling with a partial least squares approach is adopted for data analysis. The results of the study show that behavioral bias and cognitive ability have a significant effect on stock investment decisions compared to self-efficacy not being a predictor of stock investment decisions and financial literacy does not weaken the relationship between behavioral bias and irrational stock investment decision making. \nKeywords: Behavioral bias; Cognitive ability; Self-efficacy; Stock investment decision; Financial literacy \nPENGARUH BIAS PERILAKU YANG DIMODERASI OLEH LITERASI KEUANGAN, KEMAMPUAN KOGNITIF, DAN EFIKASI DIRI TERHADAP KEPUTUSAN INVESTASI SAHAM PADA GENERASI MUDA DILINGKUNGAN BALAI WILAYAH SUNGAI SUMATERA V PADANG \nABSTRAK \nPegawai di Balai Wilayah Sungai Sumatera V Padang berada di bawah Kementerian Pekerjaan Umum dan Perumahan Rakyat, dimana sebagian besar pegawai adalah generasi muda yang memutuskan untuk berinvestasi pada saham sebagai pedoman dan bekal hidupnya yang diperoleh dari capital gain dan dividen. yang dapat dipergunakan untuk kemudian hari apabila hubungan kerja itu di kemudian hari diputus. dan kontrak yang tidak dapat diperpanjang karena urusan politik. Berdasarkan hal tersebut, penelitian ini bertujuan untuk menganalisis pengaruh bias perilaku, kemampuan kognitif, dan efikasi diri terhadap keputusan investasi saham dengan literasi keuangan sebagai moderator. Data berasal dari 137 karyawan generasi muda yang dikumpulkan melalui kuesioner terstruktur online (Google Forms). Pemodelan persamaan terstruktur dengan pendekatan kuadrat terkecil parsial diadopsi untuk analisis data. Hasil penelitian menunjukkan bahwa bias perilaku dan kemampuan kognitif berpengaruh signifikan terhadap keputusan investasi saham dibandingkan dengan efikasi diri tidak menjadi prediktor keputusan investasi saham dan literasi keuangan tidak memperlemah hubungan bias perilaku dengan pengambilan keputusan investasi saham yang tidak rasional. . \nKata Kunci: Bias perilaku; Kemampuan kognitif; Efikasi Diri; Keputusan investasi saham; Literasi keuangan

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.196
Teacher spread0.172 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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