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Record W4387223032 · doi:10.18196/jai.v24i3.18397

The role of financial distress and fraudulent financial reporting: A mediation effect testing

2023· article· en· W4387223032 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.

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

VenueJournal of Accounting and Investment · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Financial Management
Canadian institutionsnot available
FundersUniversity of DhakaTaras Shevchenko National University of KyivYork University
KeywordsBusinessAccountingCorporate governanceFinancial ratioStock exchangeFinancial distressAuditFinanceCreditorFinancial systemDebt

Abstract

fetched live from OpenAlex

Research aims: This study examines the determinants of fraudulent financial reporting with financial distress as an intervening agent.Design/Methodology/Approach: The banking companies listed on the Indonesia Stock Exchange (IDX) between 2017 and 2020 comprised the study's population. One hundred-four companies comprised the entire sample, which was chosen using purposive sampling. The approach employed in this study was partial least squares (PLS)-SEM.Research findings: The results of this study found that financial targets and audit quality significantly affected financial distress. Financial distress had a significant effect on fraudulent financial reporting. Financial targets and audit quality had no significant effect on fraudulent financial reporting. Furthermore, audit quality significantly affected fraudulent financial reporting through financial distress. Financial targets did not significantly influence fraudulent financial reporting through financial distress.Theoretical contribution/Originality: This study provides literature on the role of financial conditions and good corporate governance in preventing fraudulent financial reporting in banking companies. This study can be an insight for practitioners and academics in Indonesia and internationally. Apart from that, this study contributes to the literature on the occurrence of fraudulent financial statements mediated by financial distress, which is not widely discussed, specifically in the context of the banking industry in developing countries.Practitioner/Policy implication: The practical implication in this research is the importance for investors and creditors to be more vigilant and pay attention to corporate governance and financial conditions to reduce errors in decisions based on financial reports. In addition, the strength of good corporate governance indicates that the supervision carried out by management will take the information conveyed to stakeholders free from material misstatement so that the implementation of good corporate governance can prevent fraud. Research limitation/Implication: This study exclusively includes companies in the banking sector listed on the Indonesia Stock Exchange (BEI) between 2017 and 2020. Out of 46 companies, only 26 may be used as research objects according to the purposive sampling method.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.331
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.214
Teacher spread0.200 · 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