MétaCan
Menu
Back to cohort
Record W3041885769 · doi:10.5430/ijfr.v11n4p316

Internal Control, Organizational Culture, and Quality of Information Accounting to Prevent Fraud: Case Study From Indonesia's Agriculture Industry

2020· article· en· W3041885769 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
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 Financial Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityQuality (philosophy)Control (management)Internal controlPopulationDescriptive statisticsBusinessMarketingData collectionDescriptive researchStatistical populationAgricultureAccountingAuditStatisticsManagementMathematicsEconomicsSociologyGeography

Abstract

fetched live from OpenAlex

This research wants to find out how far internal control, organization culture and the quality of accounting information system will help the small-medium enterprises (SMEs) to prevent fraud. by applying the case study approach in achieving its aims and objectives. This study is done by a used case study from SMEs in the agriculture industry in Lampung province, Indonesia. The data were collected through observations and semi-structured interviews with employed and managerial staff. This research applied a mixed method in collecting and analyzing data, which were document analyses and interviews. Applying more than a single method in collecting data enables the researcher to compare and to verify the information accuracy (Brewer and Hunter 2006). This method can increase the credibility and validity of the findings because the final bias will depend on one method which later can be avoided (Yin 2012). This type of research is quantitative descriptive research. The purpose of this descriptive research is to provide a descriptive, systematic, factual and accurate description of the facts, properties, and relationships between the phenomena investigated. All data that will be used in this study is sourced from the results of respondents' answers to the questionnaire given to employees at PT. XYZ as many as 70 respondents with the unit of analysis are part of Business Control, Human Capital, Finance, Marketing, and Operations. The sampling technique that uses saturated sampling, which is a sampling technique where all members of the population will be used as samples. The results of the study show that some weaknesses of the internal controls have been identified as one of the factors of fraud. The results show that Internal Control Organizational Culture and Quality of Information Accounting have a positive significant effect to prevent fraud.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.033
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

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 communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.349
Teacher spread0.306 · 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