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Record W4385420576 · doi:10.18280/ijsdp.180732

Accounting Information and Role It on Financial Reports Quality in Jordanian Hotels, and Social Performance as a Mediating Effect

2023· article· en· W4385420576 on OpenAlexvenueno aff
Ali Mahmoud Alrabei, Omar Jawabreh, Mousa Mohammad Abdullah Saleh

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessAccountingQuality (philosophy)Accounting information systemFinance

Abstract

fetched live from OpenAlex

We examine how social performance moderates the relationship between accounting data and the accuracy of financial reports from the perspective of accountants in Jordanian hotels.A 39-item survey was prepared and sent to hotel accountants in Jordan to gauge the strength of this relationship, and a total of 220 questionnaires were completed.The results show that accounting information (relevance, faithful representation, comparability, understandability, and timeliness) has a positive and statistically significant relationship with the quality of financial reports.Furthermore, the regression findings indicate that social performance mediates the relationship between accounting data and the quality of financial reports.This study demonstrates how a socially responsible approach to environmental preservation can motivate people to protect the environment and fulfill their environmental responsibilities.It is also suggested that by paying closer attention to and identifying environmental expenses, hotel operators may save money and provide more accurate financial reporting as eco-tourism grows in Jordan.

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)0.003
metaresearch head score (Gemma)0.015
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.253
Teacher spread0.244 · 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".

Quick stats

Citations6
Published2023
Admission routes1
Has abstractyes

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