This paper aims to propose an evaluation model specific for anti-money laundering training in banks.The model was structured taking from some of the most popular training evaluation models proposed in the literature t...This paper aims to propose an evaluation model specific for anti-money laundering training in banks.The model was structured taking from some of the most popular training evaluation models proposed in the literature the evaluation levels considered suitable for evaluating anti-money laundering training programs.Two additional evaluation levels are included,which assess possible exposure of training activity to the risks associated with knowledge management.The originality of the proposed model lies in the fact that,to the best of the authors’knowledge,to date,there is still no specific model for evaluating anti-money laundering training in banks.Among the limitations of this study is the fact that,for the moment,the proposed model is a in a purely theoretical formulation.展开更多
With the acceleration of urbanization in South China, rainstorms and floods are threatening the safety of people in urban areas. The 11 April 2019(4·11 hereafter)rainstorm in Shenzhen City was a typical pre-rainy...With the acceleration of urbanization in South China, rainstorms and floods are threatening the safety of people in urban areas. The 11 April 2019(4·11 hereafter)rainstorm in Shenzhen City was a typical pre-rainy season rainstorm that caused great damage, yet such pre-rainy season events have not attracted sufficient attention in research.Risk perception of the public may indirectly affect their disaster preparedness, which is important for disaster management. In this study, we conducted a questionnaire survey that considered demographic factors and the level of risk perception, knowledge of risk, impact of the 4·11 rainstorm event on public risk perception, and degree of trust in the government. We used a two-factor model of risk perception to evaluate the factors that influenced public risk perception of the 4·11 rainstorm in Shenzhen. The main conclusions are: The 4·11 rainstorm improved public awareness of both risk and impact through the medium term, but the public’s perceived low probability of disaster occurrence and lack of knowledge of the pre-rainy season rainstorm phenomenon led to serious losses during this event. Although the public has high trust in the Shenzhen government, the management of rainstorm disasters in the pre-rainy season needs to be further improved.展开更多
文摘This paper aims to propose an evaluation model specific for anti-money laundering training in banks.The model was structured taking from some of the most popular training evaluation models proposed in the literature the evaluation levels considered suitable for evaluating anti-money laundering training programs.Two additional evaluation levels are included,which assess possible exposure of training activity to the risks associated with knowledge management.The originality of the proposed model lies in the fact that,to the best of the authors’knowledge,to date,there is still no specific model for evaluating anti-money laundering training in banks.Among the limitations of this study is the fact that,for the moment,the proposed model is a in a purely theoretical formulation.
基金The study was supported by the National Key Research and Development Project(Grant No.2017YFC1503000).The authors would like to thank the reviewers for their valuable comments and the editors’help with this article.
文摘With the acceleration of urbanization in South China, rainstorms and floods are threatening the safety of people in urban areas. The 11 April 2019(4·11 hereafter)rainstorm in Shenzhen City was a typical pre-rainy season rainstorm that caused great damage, yet such pre-rainy season events have not attracted sufficient attention in research.Risk perception of the public may indirectly affect their disaster preparedness, which is important for disaster management. In this study, we conducted a questionnaire survey that considered demographic factors and the level of risk perception, knowledge of risk, impact of the 4·11 rainstorm event on public risk perception, and degree of trust in the government. We used a two-factor model of risk perception to evaluate the factors that influenced public risk perception of the 4·11 rainstorm in Shenzhen. The main conclusions are: The 4·11 rainstorm improved public awareness of both risk and impact through the medium term, but the public’s perceived low probability of disaster occurrence and lack of knowledge of the pre-rainy season rainstorm phenomenon led to serious losses during this event. Although the public has high trust in the Shenzhen government, the management of rainstorm disasters in the pre-rainy season needs to be further improved.
