scholarly journals Development of a Pandemic Residual Risk Assessment Tool for Building Organizational Resilience within Polish Enterprises

Author(s):  
Tomasz Ewertowski ◽  
Marcin Butlewski

The purpose of the research paper was to develop a universal residual risk assessment tool based on the use of risk control measures related to Covid-19 in order to determine the state of organizational resilience of individual industries or organizations. The article proposes and analyzes a pandemic residual risk assessment tool, which is a simple and universal source for residual risk estimation based on a five-step consequence/probability matrix, a five-step hierarchy of risk controls, and a general formula for calculating residual risk. The methodology of the survey is based on a questionnaire with 16 questions used for the initial validation of the residual risk scale, of which six related to the potential of organizational resilience. The pilot survey was conducted in 66 enterprises in Poland. On the basis of the survey, four measures related to the use of control measures against threats after the outbreak of the Covid-19 pandemic have been proposed. These are personal protective equipment (PPE) controls, administrative controls, engineering controls, and substitution controls. Using the survey results, we estimated averages of the response results, and, on their basis, we estimated the residual risks for individual types of enterprises according to the type of business and its size. Based on the calculations, a strong correlation was found between the potential of organizational resilience and the individual use of control measures. Therefore, the main finding of the survey proves that effective risk management builds organizational resilience in enterprises. The practical implications of the study allow the management staff to find out what aspects related to the use of control measures need to be paid attention to in order to minimize residual risk.

2017 ◽  
Vol 9 (1) ◽  
pp. 58-68 ◽  
Author(s):  
Louise Almond ◽  
Michelle McManus ◽  
David Brian ◽  
Daniel Peter Merrington

Purpose The purpose of this paper is to explore risk factors contained in the existing UK domestic abuse (DA) risk assessment tool: domestic abuse, stalking and harassment and honour-based violence (DASH) for individual predictive validity of DA recidivism using data from Devon and Cornwall Constabulary. Design/methodology/approach In total, 1,441 DA perpetrators were monitored over a 12-month period, and 270 (18.7 per cent) went on to commit a further DA offence. The individual risk factors which were associated and predictive of increased risk of recidivism were identified. Findings Only four of the individual risk factors were significantly associated with an increased risk of DA recidivism: “criminal history”, “problems with alcohol”, “separation” and “frightened”. Therefore, 21 of the risk factor items analysed could not discriminate between non-recidivist and recidivist perpetrators. Only two risk factors were able to significantly predict the recidivist group when compared to the non-recidivist group. These were identified as “criminal history” and “separated”. Of those who did commit a further DA offence in the following 12 months, 133 were violent and 137 were non-violent. The risk factors associated with these types of recidivism are identified. Practical implications The implications for UK police practice and the DASH risk assessment tool are discussed. By identifying key individual factors that can prioritise those individuals likely to recidivate and the severity of that recidivism, this could assist police decision making regarding the response and further prevention of DA incidents. The validation of association between individual factors and DA recidivism should improve the accuracy of risk levels. Originality/value This is the first large-scale validation of the individual risk factors contained within the UK’s DA risk assessment tool. It should be noted that the validity of the DASH tool itself was not examined within the current study.


2016 ◽  
Vol 1 (1) ◽  
pp. 15-19 ◽  
Author(s):  
Arman Ahmadzadeh ◽  
Tahere Sabaghian ◽  
Mina Ebrahimi-Rad ◽  
Mohammad Moslemizadeh ◽  
Mohammad Mehdi Emam ◽  
...  

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