The impact of occupational accidents and gross domestic product on the sanctions imposed by the Greek OSH Inspectorate

Tatsaki, Efthalia; Sgourou, Eva; Katsakiori, Paraskevi; Konsta, Ioanna; Gerasimou, Stefanos

doi:10.1016/j.ssci.2019.02.032

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Andersson & Menckel (1995) examined 11 conceptual framework models related to measuring accidents and injuries: "primary, secondary, and tertiary prevention", "proactive and reactive primary prevention", "exposure and disposition prevention", "democratic and technocratic prevention", "prevention through intervention", "the Haddon matrix", "Haddon's ten strategies", "active and passive prevention", "prevention as a causal process", "absolute and relative prevention", and "absolute and relative prevention". Among the studies of accident analyses, studies of analyzing accidents in terms of organization, employee, and accident factors by statistical methods (Tatsaki et al, 2019, Erdugan & Türkan, 2017Turkkan & Pala, 2016, Salguero-Caparros et al, 2015, Sanmiquel et al, 2014, Isara & Ofili, 2012& Cheng et al, 2010 and the application of data mining-based approaches to accident analyses (Combertiet et al, 2018, Altunkaynak, 2018, Sanmiquel et al, 2018, Shirali et al, 2018, Gerassis et al, 2016& Mutlu & Altuntas, 2019a) have been conducted. Salguero-Caparros et al (2019) examined the methods used to analyze occupational accidents and listed 35 different methods.…”

Section: Work Accident Analysis and Research Hypothesismentioning

confidence: 99%

Developing an integrated conceptual framework for monitoring and controlling risks related to occupational health and safety

Mutlu

Altuntaş

2021

JER is an international, peer-reviewed journal that publishes f

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There is a strong relationship between monitoring and controlling risks from several perspectives and developing effective measures to ensure continuous improvement by creating value in occupational health and safety. Business systems that transform into complex and sociotechnical systems have a dynamic structure and contain various serious risks that threaten employee health and safety based on the technological development. Even if the risk impact is reduced with the classical attempts of occupational safety experts to prevent losses, new risks may arise owing to missed risks. Therefore, risks must be continuously monitored and controlled with functionally complementary tools. In addition, these tools must interact with each other. Achieving effective results from their effort in coping with risks is another key factor for businesses. In this paper, an integrated conceptual framework for monitoring and controlling risks in occupational health and safety is proposed. The proposed framework consists of four parts. The hypothesis proposed in the first part focuses on learning from accidents, and that proposed in the second part is related to the proactive analysis and evaluation of risks. The hypothesis proposed in the third part deals with the correct ranking of risks, and that proposed in the fourth part focuses on the development of an early-warning system based on safety technologies. The hypotheses should interact and support each other in the integrated conceptual framework. Finally, the safety performance can be enhanced, and continuous improvement can be achieved by preventing the waste of time and resources.

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Section: Work Accident Analysis and Research Hypothesismentioning

confidence: 99%

Developing an integrated conceptual framework for monitoring and controlling risks related to occupational health and safety

Mutlu

Altuntaş

2021

JER is an international, peer-reviewed journal that publishes f

View full text Add to dashboard Cite

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“…Another analytical method that is more widely used is Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIM). For non-stationary time series, the series is made stationary by differencing it several times and then the series is represented as a combination of white noise and moving average [10][11][12][13]. Another mainstream forecasting method is multiple regression, also known as the Vector Autoregressive (VAR) method, which is a statistically based model that constructs a model from a function of the lagged values of all the endogenous variables in the system.…”

Section: Introductionmentioning

confidence: 99%

GDP Economic Forecasting Model Based on Improved RBF Neural Network

2022

Mathematical Problems in Engineering

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Among the existing GDP forecasting methods, time series forecasting and regression model forecasting are the two most commonly used forecasting methods. However, traditional macroeconomic forecasting models are unable to accurately achieve optimal forecasts of highly complex nonlinear dynamic macroeconomic systems due to the influence of multiple confounding factors. In order to solve the above problems, a GDP economic forecasting model based on an improved RBF neural network is proposed. First, the main traditional GDP forecasting methods are analyzed. Then, RBF neural networks are used to solve the problem that traditional forecasting technology methods cannot handle multi-factor complex nonlinearities well. Second, to further improve the convergence speed and accuracy of the RBF neural network learning algorithm, the Shuffled Frog Leaping Algorithm with global search capability and high practicality is fused into the RBF network training. Finally, the improved RBF neural network is used to build a GDP economic forecasting model. The performance of the Shuffled Frog Leaping Algorithm and the improved RBF neural network was tested using the approximation of Hermit polynomials and the Iris classification problem as simulation examples. The experimental results show that the improved RBF neural network-based GDP economic forecasting model achieves more accurate forecasting accuracy than other forecasting methods.

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Analysis of Occupational Accidents in Greek Construction Sector—the Use of Deviation in Accident Reports

Katsakiori

Sgourou

Konsta

2021

Studies in Systems, Decision and Control

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The impact of occupational accidents and gross domestic product on the sanctions imposed by the Greek OSH Inspectorate

Cited by 7 publications

References 11 publications

Developing an integrated conceptual framework for monitoring and controlling risks related to occupational health and safety

Developing an integrated conceptual framework for monitoring and controlling risks related to occupational health and safety

GDP Economic Forecasting Model Based on Improved RBF Neural Network

Analysis of Occupational Accidents in Greek Construction Sector—the Use of Deviation in Accident Reports

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