Evidence map›Paper›PMID 42382209›Full record

ReviewSafety and health at work2026

Macroergonomics Approach for Developing the Next Generation of Safety Culture Maturity Model.

Wisda Mulyasari, Udisubakti Ciptomulyono, Adithya Sudiarno

Abstract readReview
In one paragraph

Review in Safety and health at work, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wisda MulyasariDepartment of Industrial Engineering, Universitas Muhammadiyah Gresik, Gresik, Indonesia.
Udisubakti CiptomulyonoIndustrial and Systems Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Adithya SudiarnoIndustrial and Systems Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A poor safety culture has led to numerous major incidents in the chemical process industry. Empirical evidence proves that sectors with high safety culture maturity (SCM) levels have fewer incidents and accidents. A macroergonomics approach could increase the resilience. This study identifies SCM variables in chemical process-based industries and develops a conceptual framework and model using a macroergonomics approach to achieve organizational resilience. Methods: This study will employ a systematic literature review (SLR) approach to conduct an SLR on the safety culture maturity model (SCMM) research. The SLR aims to find measurement variables and models used in previous research. Then, the variables found were classified into five work subsystems: 1) organization, 2) tools and technology, 3) human, 4) job and tasks, and 5) environment. Validation was then proposed by 11 experts using the content validity ratio method to identify relevant variables to measure SCM in chemical process-based industries. Results: Fifteen variables were classified into the organizational subsystem, six were in the tools and technology subsystem variables, nine were included in the human subsystem variables, five were in the job and task subsystem variables, and six were included in the environment subsystem variables. A six-level SCM model is presented: Pathological, Reactive, Calculative, Proactive, Generative, and Resilient. Conclusions: This study successfully identified and mapped key variables contributing to SCMM in chemical process-based industries using a macroergonomics approach, resulting in 41 measurement variables. A six-level SCMM can be used to develop measurement tools and improve organizational resilience.

Indexed as

Chemical process-based industryMacroergonomics safetySafety culture maturity model

Identifiers

PMID42382209
PMCPMC13315978

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.