The analysis and management of unsafe acts and unsafe conditions. Data collection and analysis

Baldissone, Gabriele; Comberti, Lorenzo; Bosca, Serena; Murè, Salvina

doi:10.1016/j.ssci.2018.10.006

Cited by 38 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…HFACS has also been extended to the proactive management and prediction of incidents through causal pathway analysis in the mining ( Lenné et al, 2012 ), process ( Baldissone et al, 2019 ), aviation ( Hooper and O’Hare, 2013 , Inglis et al, 2010 , Li et al, 2008 , Liu et al, 2013 ), oil and gas ( Theophilus et al, 2017 ), and construction ( Sun et al, 2011 , Ye et al, 2018 ) industries. Neural networks have also been used to predict the unsafe acts (Level 1 errors) from preconditions of unsafe acts (Level 2 errors) (Harris and Li, 2019) and even classify HFACS nanocodes from text data ( Madeira et al, 2021 ).…”

Section: Human Factors Analysis and Classification System (Hfacs)mentioning

confidence: 99%

“…Preconditions for unsafe acts refer to the underlying latent conditions that most directly relate to the occurrence of unsafe acts ( Reason, 1990 ) and thus, provide the greatest prediction power for unsafe acts ( Baldissone et al, 2019 ; Harris and Li, 2019). This level comprises of conditions of operators, environmental factors, and personnel factors ( Shappell and Wiegmann, 2000 ).…”

Section: Human Factors Analysis and Classification System (Hfacs)mentioning

confidence: 99%

See 1 more Smart Citation

A systematic approach to public health – Novel application of the human factors analysis and classification system to public health and COVID-19

Bickley

Torgler

2021

Safety Science

View full text Add to dashboard Cite

In this article, we argue for a novel adaptation of the Human Factors Analysis and Classification System (HFACS) to proactive incidence prevention in the public health and in particular, during and in response to COVID-19. HFACS is a framework of causal categories of human errors typically applied for systematic retrospective incident analysis in high-risk domains. By leveraging this approach proactively, appropriate, and targeted measures can be quickly identified and established to mitigate potential errors at different levels within the public health system (from tertiary and secondary healthcare workers to primary public health officials, regulators, and policymakers).

show abstract

Section: Human Factors Analysis and Classification System (Hfacs)mentioning

confidence: 99%

Section: Human Factors Analysis and Classification System (Hfacs)mentioning

confidence: 99%

A systematic approach to public health – Novel application of the human factors analysis and classification system to public health and COVID-19

Bickley

Torgler

2021

Safety Science

View full text Add to dashboard Cite

show abstract

“…Observation of proper data collection procedures allows the attainment of reliability and transparency [41]. It also permits a systematic conduct of the study [42]. In this study, three steps were followed.…”

Section: Data Collection Proceduresmentioning

confidence: 99%

Technical Vocational Education in the Context of Globalization: Its Pedagogy and Strategies

Almerez

Adolfo²,

Bucod³

et al. 2019

AJESS

View full text Add to dashboard Cite

Aims: The aim of this study was to determine the personal experiences of the teacher-participants in the teaching of Technology and Livelihood Education. It also ascertained and met the following objectives: 1) determine the teaching experiences of the TLE teachers; 2) to identify the training needs of TLE teachers; 3) ascertain the challenges faced by the TLE teachers; 3) discover the pedagogy and strategies used by the TLE teachers; and 4) find out the recommendations of the TLE teachers to improve the delivery of the course. Study Design: Qualitative-phenomenological approach. Place and Duration of Study: The study was conducted in Sta Cruz National High School, Sta. Cruz, Davao del Sur. The study was conducted for 6 months. Methodology: The researchers purposely chose all the Technology and Livelihood Education (TLE) teachers. The information were gathered through Focus Group Discussion (FGD). Results: Six themes emerged from the data analysis. Generally, the teacher-participants found teaching of TLE subject was challenging because the activities were focused on exploration. Moreover, they felt satisfied because they were able to share their knowledge and skills to their students. It implies that the TLE teachers were committed and dedicated to their jobs despite the difficulties they encountered. However, the teacher-participants revealed that generally, they were not sent outside of the school to attend training-seminar for skills enhancement. It is an indication that the school heads lack concern for their teachers’ professional development. In addressing the challenges of the teachers, they collaborate with each other by sharing their resources. Despite the challenges they encountered, they were still optimistic to be globally competitive. It implies that the TLE teachers do not give up easily. They suggested that the school administration needed to develop the participants’ personal character so that their teaching goals were met. Conclusion: The TLE teachers loved and enjoyed their teaching jobs despite the challenges they faced. However, they clamored to the Department of Education (DepEd) to address their needs such as sending them to trainings and seminar-workshop to enhance their skills and capabilities. To show their dedication to their jobs, they brought their own tools and shared the same to other teachers. Notably, the participants only used three teaching strategies. It shows that TLE teachers lack the knowledge of other teaching strategies. The participants were optimistic that sooner or later their TLE programs are accredited and recognized locally and internationally. This implies that the participants were committed to their jobs. Ironically, they suggested that improvement of the teachers’ self was better than improving the TLE implementation. This shows that the teachers believed that materials can be easily acquired but not the attitude.

show abstract

“…Generally there are two main causes of work accidents, namely unsafe actions and unsafe conditions. [4], [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Model Health, Safety and Work Environment Factors as Prediction of Work Motivation on Construction Projects

Pelleng,

Susetyo,

Soehari

2019

IJEAT

View full text Add to dashboard Cite

Construction project work is one of the high-risk jobs. Based on statistical data on construction accidents in the last ten years, it continues to increase, which has an impact on decreasing work productivity and at the same time a threat to the health, safety and environment of the workforce. Efforts to increase awareness of Health, Safety and the Work Environment (HSE)for workers are important to provide encouraging attitudes and safe actions in preventing the risk of accidents and diseases caused by work, thereby increasing worker productivity.Motivation is a form of encouragement from within the employee to behave and act. The productivity of a construction project is closely related to the motivation of the workforce.The purpose of this study is to determine an effective model of health, safety and work environment (HSE) and to know the relationship between HSE factors as a prediction of work motivation to prevent the risk of work accidents.The research method used was a questionnaire survey distributed to 35 construction workers / contractors such as project managers, experts, project implementers, foremen and construction workers in buildings with more than five floors.Data were analyzed using Partial Least Squares. Work accidents affect HSE workers, which then makes work activities delayed, work costs increase, even the quality of work decreases. Therefore, efforts are needed to prevent work accidents through work motivation as psychological interventions in understanding HSE factors for increasing worker productivity on construction projects.The results of this study confirm that the worker's health factors are able to predict work motivation and work motivation in stages of work productivity, meaning that the better the health of workers will increase work motivation and the higher the work motivation, the higher work productivity. Work environment factors indirectly have a positive effect on work productivity, meaning that the better the work environment, the higher the work productivity through work motivation.

show abstract

The analysis and management of unsafe acts and unsafe conditions. Data collection and analysis

Cited by 38 publications

References 28 publications

A systematic approach to public health – Novel application of the human factors analysis and classification system to public health and COVID-19

A systematic approach to public health – Novel application of the human factors analysis and classification system to public health and COVID-19

Technical Vocational Education in the Context of Globalization: Its Pedagogy and Strategies

Model Health, Safety and Work Environment Factors as Prediction of Work Motivation on Construction Projects

Contact Info

Product

Resources

About