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Record W2967723970 · doi:10.3968/11092

Quality of Accounting Information Systems for Facing Industrial Revolution Is Influenced by Business Process and Organizational Commitment

2019· article· en· W2967723970 on OpenAlexvenueno aff
Endraria Endraria

Bibliographic record

VenueCanadian social science · 2019
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessQuality (philosophy)Accounting information systemOrganizational commitmentAccountingProcess (computing)Business administrationManagementComputer scienceEconomics

Abstract

fetched live from OpenAlex

The purpose of the study was to determine the effect of Business Process (X1) on the Quality of Accounting Information Systems (Y) at the Bureau of Environment at Muhammadiyah University in Tangerang and find out the effect of Organizational Commitment (X2) on the Quality of Accounting Information Systems (Y) in Environment of Muhammadiyah University of Tangerang by carrying out questionnaires given to 64 respondents from all populations totaling 74 respondents and processing the results of the study using Smartpls software Version 2.0, M3 where it was found that Business Process (X1) affected the Quality of Accounting Information Systems (Y) in The Environmental Bureau of the University of Muhammadiyah Tangerang and Organizational Commitment (X2) influenced the Quality Accounting Information System (Y) at the Bureau at Muhammadiyah University, Tangerang, Banten Province.

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)0.004
metaresearch head score (Gemma)0.024
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 score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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