Evidence map›Paper›PMID 38368482›Full record

ArticleScientific reports2024

Improving the risk management process in quality management systems of higher education.

Oleg Bazaluk, Artem Pavlychenko, Olena Yavorska, Olha Nesterova, Vitaliy Tsopa, Serhii Cheberiachko, Oleg Deryugin, Vasyl Lozynskyi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Oleg BazalukBelt and Road Initiative Center for Chinese-European Studies (BRICCES), Guangdong University of Petrochemical Technology, Maoming, 525000, China.
Artem PavlychenkoDepartment of Ecology and Technologies of Environmental Protection, Dnipro University of Technology, Dnipro, 49005, Ukraine.
Olena YavorskaDepartment of Labor Safety and Civil Security, Dnipro University of Technology, Dnipro, 49005, Ukraine.
Olha NesterovaDepartment of Philosophy and Pedagogics, Dnipro University of Technology, Dnipro, 49005, Ukraine.
Vitaliy TsopaDepartment of Management and Economics, International Institute of Management, 10/12B Shuliavska Str., Kyiv, 04116, Ukraine.
Serhii CheberiachkoDepartment of Labor Safety and Civil Security, Dnipro University of Technology, Dnipro, 49005, Ukraine.
Oleg DeryuginDepartment of Transportation Management, Dnipro University of Technology, Dnipro, 49005, Ukraine.
Vasyl LozynskyiBelt and Road Initiative Center for Chinese-European Studies (BRICCES), Guangdong University of Petrochemical Technology, Maoming, 525000, China. lvg.nmu@gmail.com.

Funding

Guangdong University of Petrochemical Technology Belt and Road Initiative Center for Chinese-European studies (BRICCES)
6 · The paper itself

Abstract

The purpose of this paper is to improve the risk management process in the quality management system of higher education, taking into account the hazardous factors that increase the probability of occurrence and severity of consequences of undesirable events, as well as favorable factors that reduce the probability of occurrence and severity of consequences of hazardous events. The basis of risk management in the quality management systems of higher education institutions is the "Bowtie" method, which involves six main steps of identifying inconsistency, determining the impact of hazardous and favorable factors according to the impact group, ranking hazardous and favorable factors, calculating risk, substantiating precautionary measures and checking calculations. To rank hazardous and favorable factors, the authors used the "Decision Making Trial and Evaluation" method (hereinafter-DE-MATEL), which is based on paired comparison and decision-making tools based on graph theory. An improved process is proposed for risk assessment, which differs from the known ones by the presence of the identification of the cause-and-effect relationship "hazard (inconsistency)-hazardous event-consequences", identification of hazardous and favorable factors of the internal and external environment that affect the probability and/or the degree of severity of a hazardous event-the appearance of an inconsistency, which is carried out after the inconsistency has been determined; determination of causal hazardous and favorable factors by an acceptable method. Registers of inconsistencies (hazards), hazardous and favorable factors have been developed and proposed based on the requirements for accreditation of educational programs and the international standard ISO 9001:2015, which will allow, based on a risk-oriented approach, to provide a basis for setting the goals of a higher education institution under martial law in order to guarantee effective implementation of the mission and strategy. They are proposed for decision-making in the quality management systems of educational organizations on the substantiation of precautionary or corrective measures based on ranking the risks from identified inconsistencies, which are determined taking into account the impact of the entire set of identified significant hazardous and favorable factors. The value of this paper is to improve the quality risk management process in educational organizations, taking into account the impact of hazardous and favorable factors, and to develop an appropriate step-by-step algorithm of actions and a risk assessment form.

Identifiers

PMID38368482
PMCPMC10874394

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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.