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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 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

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.

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)0.000
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 score0.419
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
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