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Record W2167148607 · doi:10.5267/j.msl.2014.1.028

Factors influencing the alignment of accounting information systems of accepted manufacturing firms in Tehran Stock Exchange

2014· article· en· W2167148607 on OpenAlexvenueno aff
Fazel Tamoradi

Bibliographic record

VenueManagement Science Letters · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessAccounting information systemAccountingStock exchangeStock (firearms)Industrial organizationFinanceEngineering

Abstract

fetched live from OpenAlex

The primary objective of this paper is to detect factors influencing the alignment of accounting information systems for firms in manufacturing sector listed on Tehran Stock Exchange. The concept of alignment has been investigated for many years, and strategic alignment plays essential role in increasing company performance. This paper investigates different levels of alignment and studies the factors, which influence alignment. More specifically, the work concentrates on the alignment between the requirements for accounting information (AIS requirements) and the capacity of accounting systems (AIS capacity) to build the information, in the specific context of manufacturing in Iran. The research sample consists of 216 companies over the period 2011-2007. The fit between these two sets was explored based on the moderation method and evidences indicate that AIS alignment in some firms was high. In addition, the relationship between the dependent variable and independent variables through multiple regressions yields a positive relationship between these variables.

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 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 score0.291
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.000
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 head0.012
GPT teacher head0.204
Teacher spread0.192 · 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 teacher head, 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

Citations4
Published2014
Admission routes1
Has abstractyes

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