Modeling workers’ behavior: A human factors taxonomy and a fuzzy analysis in the case of industrial accidents

Longo, Francesco; Nicoletti, Letizia; Padovano, Antonio

doi:10.1016/j.ergon.2018.09.002

Cited by 42 publications

(30 citation statements)

References 33 publications

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“…Hesketh et al, 1988;Hesketh et al, 1995), owing to their practical usefulness in addressing a variety of organizational management problems. Notable examples include multi-objective optimization on the basis of ratio analysis (MOORA; e.g., Brauers & Zavadskas, 2012); the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS; e.g., Shaout & Yousif, 2014); Fuzzy Analytic Hierarchy Process (FAHP; e.g., Longo et al, 2019); fuzzy set Qualitative Analysis (fsQA; e.g., Guedes & Gonçalves, 2019;Henriques et al, 2018); and Mandani Fuzzy Inference System (MSFI; e.g., Dropuli Ruzic et al,2016). We will return to this last approach later.…”

Section: Fuzzy Logic and Fuzzy Rule-based Systemsmentioning

confidence: 99%

Developing Biodata for Public Manager Selection Purposes: A Comparison between Fuzzy Logic and Traditional Methods

Izquierdo

Ramos-Villagrasa

Lubiano

2020

Revista De Psicología Del Trabajo Y De Las Organizaciones

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Section: Fuzzy Logic and Fuzzy Rule-based Systemsmentioning

confidence: 99%

Developing Biodata for Public Manager Selection Purposes: A Comparison between Fuzzy Logic and Traditional Methods

Izquierdo

Ramos-Villagrasa

Lubiano

2020

Revista De Psicología Del Trabajo Y De Las Organizaciones

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“…Industrial factors, such as plant layout, workstation design, working capacity, and working schedule, were identified as the primary potential threats affecting the physical and mental health of workers [33,34]. Any shortcomings in providing industrial hygiene may largely influence the mental and physical health of workers as they are constrained to work in a limited environment for hours [35,36]. Such discomforts felt by the workers, both physically and mentally within industrial environments, are collectively termed as ergonomic problems [37,38].…”

Section: Ergonomics Problemsmentioning

confidence: 99%

Role of Ergonomic Factors Affecting Production of Leather Garment-Based SMEs of India: Implications for Social Sustainability

et al. 2020

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This paper aims to identify, evaluate, and measure the ergonomic factors hampering the production of leather garment-based small and medium-sized enterprises (SMEs). Ergonomic problems faced by the workers largely impact the health of individuals and also the productivity of a firm. Based on experts’ opinions and a literature survey, three emerging categories—namely, occupational disease, personal factors, and the industrial environment—with a total of twenty factors were identified to examine symmetrical impact in five leather garment companies. In this research work, Cronbach’s α was evaluated to check the validity of the ergonomic factors identified through the literature survey. Then, using the fuzzy analytic hierarchy process (FAHP), the identified ergonomic factors were evaluated. A sensitivity analysis was carried out to validate the robustness of the results obtained using the integrated approach. Outdated machinery, vibration, operational setup, fatigue, and poor ventilation and lighting are the top five factors inducing ergonomic-related problems and hampering the production of the leather garment companies in India. These top ergonomic factors are the result of a failure in the provision of an ambient working environment. Providing ergonomically designed working environments may lower the occurrence of ergonomic problems. The findings of this study will assist industrial managers to enhance production rate and to progress towards social sustainability in Indian SMEs. The proposed symmetrical assessment in this study could also be considered as a benchmark for other companies in which human–machine interaction is significant.

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“…Sustainable human resources development and knowledge sharing as part of relationship capital [83] enables companies to manage their adaptation to Industry 4.0 [84][85][86] and grant them the "how to do" expertise in this process. Openness towards external knowledge sources [87] and partnerships [88] in training enables firms to access the knowledge in developing appropriate procedures and solutions required for Industry 4.0 transition.…”

Section: Discussionmentioning

confidence: 99%

External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges

et al. 2019

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The new challenges that will currently affect the existence and sustainability of businesses stem from the dramatic changes that come from the fourth industrial revolution. Based on the concept of intellectual capital management as a resource-based strategic management approach, which leads to the management of structural, human, and relational capital, sustainable human resource management underlines the involvement of partnerships and external relations in learning and personal development processes. Industry 4.0 expects major changes in human resource management and processes such as education. Organizations will benefit from the new knowledge in the near future that will need to be brought into the internal environment of the organization constantly. However, this will require cooperation with the external environment, and the resulting new education opportunities built on cooperation with external partners, organizations, and educational institutions. Innovations as essential factors in adapting to major changes in the environment will be key in all organizational processes, including educational. This paper focuses on comparing highly innovative countries and less innovative countries in Central Europe, analyzing 1482 businesses by looking at differences in attitude towards employee education and individual forms of employee education. The main statistically significant difference is in the strategic approach to employee education and development and the set-up between innovative countries and moderate innovators.

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Modeling workers’ behavior: A human factors taxonomy and a fuzzy analysis in the case of industrial accidents

Cited by 42 publications

References 33 publications

Developing Biodata for Public Manager Selection Purposes: A Comparison between Fuzzy Logic and Traditional Methods

Developing Biodata for Public Manager Selection Purposes: A Comparison between Fuzzy Logic and Traditional Methods

Role of Ergonomic Factors Affecting Production of Leather Garment-Based SMEs of India: Implications for Social Sustainability

External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges

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