Evidence map›Paper›PMID 34828191›Full record

ArticleEntropy (Basel, Switzerland)2021

Examining the Research on Business Information-Entropy Correlation in the Accounting Process of Organizations.

Emilio Abad-Segura, Mariana-Daniela González-Zamar, Massimo Squillante

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Emilio Abad-SeguraDepartment of Economics and Business, University of Almeria, 04120 Almeria, Spain.ORCID 0000-0001-8624-103X
Mariana-Daniela González-ZamarDepartment of Education, University of Almeria, 04120 Almeria, Spain.ORCID 0000-0003-1187-8970
Massimo SquillanteDepartment of Law, Economics, Management and Quantitative Methods, University of Sannio, 82100 Benevento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Open business organizations, where information flows, is shared, and exchanged, are more prepared to adapt and survive chaos, uncertainty, and entropy, so they will be more predisposed to change management. The aim of this study is to analyze research trends at the international level on business information-entropy correlation in the accounting process of organizations. Mathematical and statistical techniques were applied to 980 articles during the period 1974-2020, obtaining results on the scientific productivity of the driving agents of this topic: authors, research institutions, countries/territories, and journals. Five lines of research were identified during the period analyzed, which mainly study information theory, maximum entropy, information entropy, decision-making, and enthalpy. Future research should focus on analyzing the evolution of this topic, which forms new thematic axes related to bitcoin market efficiency, business hierarchy information, business model evaluation systems, catastrophic economic collapse, corporate diversification, CSR reports affecting accounting conservatism, economic income accounting, and information loss. Currently, the research presents an upward trend, which allows a growing interest in the subject to be deduced in the academic and scientific community worldwide.

Indexed as

accountingbusiness informationentropyorganizationscientific production

Identifiers

PMID34828191
PMCPMC8625646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.