The influence of industry 4.0, internet of things, and physical-cyber systems on human factors: a case study of workers in Indonesian oil and gas refineries.
This study focuses on examining and ascertaining the impact of various elements of industry 4.0, namely the internet of things (IoT) and -physical-cyber systems, on the human factors concerning operators in the Refinery industry. The primary objective of this study is to analyze the relationship bet...
| Publicado en: | Theoretical Issues in Ergonomics Science Vol. 25; no. 5; pp. 567 - 593 |
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| Autores principales: | , , , |
| Formato: | case study research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179339023&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179339023 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1463922X BDX jtl: Theoretical Issues in Ergonomics Science issn: 1463922X maglogo: Y pubinfo: dt: Sep2024 vid: 25 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 179339023 179339023 179339023 10.1080/1463922X.2023.2284295 179339023 ppf: 567 ppct: 26 formats: tig: atl: The influence of industry 4.0, internet of things, and physical-cyber systems on human factors: a case study of workers in Indonesian oil and gas refineries. aug: au: Restuputri, Dian Palupi Amalia, Fita Masudin, Ilyas Widayat affil: Universitas Muhammadiyah Malang, Malang, Indonesia sug: subj: Industry Evaluation Internet Computer Systems Ergonomics Blue Collar Workers Human Male Adult Middle Age Quantitative Studies Employment Structural Equation Modeling Occupational Safety Occupational Health Adult: 19-44 years Middle Aged: 45-64 years Male ab: This study focuses on examining and ascertaining the impact of various elements of industry 4.0, namely the internet of things (IoT) and -physical-cyber systems, on the human factors concerning operators in the Refinery industry. The primary objective of this study is to analyze the relationship between these variables and human factors. In this study, a quantitative approach employing partial least square-structural equation modeling (PLS-SEM) was utilized as the research methodology. The study sample consisted of 70 respondents who were specifically chosen from the Indonesian oil and gas sector operators. The findings of this research demonstrate a positive and significant influence of Industry 4.0 on human factors. Moreover, a significant correlation between the Internet of Things and human factors was identified. Additionally, the study also revealed a noteworthy association between the physical-cyber system and human factors. pubtype: Academic Journal doctype: case study research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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