Theoretical Issues in Ergonomics Science最新文献_第3页

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 工业 4.0、物联网和物理-网络系统对人为因素的影响：印度尼西亚石油和天然气炼油厂工人的案例研究

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-11-27 DOI: 10.1080/1463922x.2023.2284295

D. Restuputri, Fita Amalia, I. Masudin, Widayat

引用次数: 0

A theoretical model of industrial accidents investigations: a conceptualization of the mental processes that trigger and control investigative activities 工业事故调查的理论模型:触发和控制调查活动的心理过程的概念化

Theoretical Issues in Ergonomics Science Pub Date : 2023-11-14 DOI: 10.1080/1463922x.2023.2281004

Hamad S. J. Rashid

{"title":"A theoretical model of industrial accidents investigations: a conceptualization of the mental processes that trigger and control investigative activities","authors":"Hamad S. J. Rashid","doi":"10.1080/1463922x.2023.2281004","DOIUrl":"https://doi.org/10.1080/1463922x.2023.2281004","url":null,"abstract":"AbstractHumans strive to understand and respond to abnormal changes that occur within their surrounding contexts. Current literature is yet to discuss the process of triggering an enquiring process within the human cognition after the occurrence of an unforeseen change event or an accident, to explain what behavioral response can follow, and to recognize what factors shape such a response. This article presents a new theoretical model – tagged as the ‘Slammed Adjacent Door (SAD)’ model that addresses the behaviour of an individual responder to a simple change event, which is expanded to discuss the wider social and organizational behaviour relevant to an accident. The model establishes the link between the preliminary cognition of potential investigators and their following practical response to an accident, by discussing the dynamic interactions of various endogenous and exogenous factors that trigger and control their post-event investigative actions. According to the SAD model, an industrial accident investigation is a six-phased sequence of mental manipulations, decisions, and physical actions that are initiated, motivated, and sustained by complex mutually-influencing personal, organizational, and wider set of input factors. The model has consequential set of theoretical and practical implications relating to organizational or other incidents and accidents investigations.Keywords: Accidents investigationstheoretical modellinghuman cognition and behavioursafetyorganizational behaviour Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Kansei engineering with online review mining methodology for robust service design 基于在线评论挖掘方法的感性工程稳健服务设计

Theoretical Issues in Ergonomics Science Pub Date : 2023-09-28 DOI: 10.1080/1463922x.2023.2261995

Markus Hartono, Dina Natalia Prayogo, I. Made Ronyastra, Abdullah Baredwan

{"title":"Kansei engineering with online review mining methodology for robust service design","authors":"Markus Hartono, Dina Natalia Prayogo, I. Made Ronyastra, Abdullah Baredwan","doi":"10.1080/1463922x.2023.2261995","DOIUrl":"https://doi.org/10.1080/1463922x.2023.2261995","url":null,"abstract":"AbstractKansei Engineering (KE) has shown its prominent applicability in service design and development, focusing on translating and interpreting customers’ emotional needs (Kansei) into service characteristics. It is critical and promising as the services sector has grown faster than the manufacturing sector in developing economies in the past three decades. It accounted for an average of 55% of GDP in some developing economies. KE’s flexibility in collaborating with other methods and covering various service settings shows its unique superiority. However, there is criticism of the collected Kansei’s validity and the proposed solution’s robustness. It might be potentially caused by the dynamics of customer emotional needs and various service settings. As a result, Kansei is found to be somewhat fuzzy, unclear, and ambiguous. Hence, a more structured KE methodology incorporating the Kansei text mining process for robust service design is proposed. Kansei text mining approach will extract and summarize service attributes and their corresponding affective responses based on the online product descriptions and customer reviews. The Taguchi method will support the robustness of the proposed improvement strategy. An empirical study of a zoo as a tourism attraction service and its practical implication is discussed and validated in the proposed integrative framework.Keywords: Kansei engineeringrobust designmining methodologyservice innovation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis study was supported by the Department of Industrial Engineering University of Surabaya and the research grant by the Ministry of Education, Culture, Research, and Technology Republic of Indonesia under a research scheme of Excellent Basic Research of Higher Education (PDUPT) with a contract number 003/SP2H/LT-MULTI-PDPK/LL7/2021.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135344326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cognitive psychology in traffic safety 交通安全中的认知心理学

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-09-01 DOI: 10.1080/1463922x.2023.2250406

Jose Luis Vilchez, Mauricio Esteban Reyes Guaranda, Miguel Francisco Moreno Polo, María Cristina Ávila Martínez, Camila Inés Campos Castro, Mateo Sebastián Montesdeoca Andrade, Wilson Xavier Tigre Atiencia, Danny Ordóñez Alberca, Wendy Lizbeth Michay Valarezo

引用次数: 1

A theoretical model to explain mixed effects of trust repair strategies in autonomous systems 自治系统中信任修复策略混合效应的理论模型

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-08-25 DOI: 10.1080/1463922x.2023.2250424

R. Pak, E. Rovira

引用次数: 0

Model evaluation in human factors and ergonomics (HFE) sciences; case of trust in automation 人因工程学（HFE）科学中的模型评估；自动化中的信任案例

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-07-13 DOI: 10.1080/1463922x.2023.2233591

Mehdi Poornikoo, Kjell Ivar Øvergård

引用次数: 0

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS modelling 分析有助于制造业大流行风险评估的人力和组织因素的模型:FBN-HFACS模型

Theoretical Issues in Ergonomics Science Pub Date : 2023-06-27 DOI: 10.1080/1463922x.2023.2223254

Amirhossein Khoshakhlagh, Saber Moradi Hanifi, Fereydoon Laal, Esmaeil Zarei, Fatemeh Dalakeh, Hamid Safarpour, Rohollah Fallah Madvari

{"title":"A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS modelling","authors":"Amirhossein Khoshakhlagh, Saber Moradi Hanifi, Fereydoon Laal, Esmaeil Zarei, Fatemeh Dalakeh, Hamid Safarpour, Rohollah Fallah Madvari","doi":"10.1080/1463922x.2023.2223254","DOIUrl":"https://doi.org/10.1080/1463922x.2023.2223254","url":null,"abstract":"This study presents a holistic model based on Fuzzy Bayesian Network-Human Factor Analysis and Classification System (FBN-HFACS) to analyze contributing factors in the pandemic, Covid 19, risk management under uncertainty. The model contains three main phases include employing a) HFACS to systematically identify influencing factors based on validation using content validity indicators, b) Fuzzy Set Theory to obtain the prior probability distribution of contributing factors in pandemic risk and address the epistemic uncertainty and subjectivity, and finally, c) Bayesian network to develop causality model of the risk, probabilistic inferences and handle parameter and model uncertainties. The Ratio of Variation (RoV), as BN-driven importance measures, is utilized to conduct sensitivity analysis and explore the most critical factors that yield effective safety countermeasures. The model is tested to investigate four large manufacturing industries in South Khorasan (Iran). It provided a deep understanding of influencing human and organizational factors and captured dependencies among those factors, while quantitative finding paves a way to efficiently make risk-based decisions to deal with the pandemic risks under uncertainty.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135399627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS modelling 分析制造业疫情风险评估的人为和组织因素的模型：FBN-HFACS模型

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-06-27 DOI: 10.21203/rs.3.rs-2358971/v1

A. Khoshakhlagh, Saber Moradi Hanifi, F. Laal, E. Zarei, Fatemeh Dalakeh, H. Safarpour, Rohollah Fallah Madvari

{"title":"A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS modelling","authors":"A. Khoshakhlagh, Saber Moradi Hanifi, F. Laal, E. Zarei, Fatemeh Dalakeh, H. Safarpour, Rohollah Fallah Madvari","doi":"10.21203/rs.3.rs-2358971/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-2358971/v1","url":null,"abstract":"This study presents a holistic model based on Fuzzy Bayesian Network-Human Factor Analysis and System Classification (FBN-HFACS) to analyze contributing factors in the pandemic, Covid 19, risk management under uncertainty. The model contains three main phases include employing a) HFACS to systematically identify influencing factors based on validation using content validity indicators, b) Fuzzy Set Theory to obtain the prior probability distribution of contributing factors in pandemic risk and address the epistemic uncertainty and subjectivity, and finally, c) Bayesian network to develop causality model of the risk, probabilistic inferences and handle parameter and model uncertainties. The Ratio of Variation (RoV), as BN-driven importance measures, is utilized to conduct sensitivity analysis and explore the most critical factors that yield effective safety countermeasures. The model is tested to investigate four large manufacturing industries in South Khorasan (Iran). It provided a deep understanding of influencing human and organizational factors and captured dependencies among those factors, while quantitative finding paves a way to efficiently make risk-based decisions to deal with the pandemic risks under uncertainty.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46617461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trust in systems: identification of 17 unresolved research questions and the highlighting of inconsistencies 对系统的信任：确定17个未解决的研究问题并突出不一致之处

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-06-12 DOI: 10.1080/1463922x.2023.2223251

A. Atchley, Hannah M. Barr, Emily H. O’Hear, Kristin Weger, Bryan L. Mesmer, Sampson Gholston, N. Tenhundfeld

引用次数: 0

Assessing the impact of critical risk factors on the development of musculoskeletal disorders: a structural equation modelling approach 评估关键风险因素对肌肉骨骼疾病发展的影响：一种结构方程建模方法

IF 1.6

Theoretical Issues in Ergonomics Science Pub Date : 2023-06-05 DOI: 10.1080/1463922x.2023.2219297

S. Talapatra, M. Parvez, P. Saha, M. Kibria

引用次数: 1