Systemic acquired critique of credit card deception exposure through machine learning

Artigo publicado em revista científica internacionalA wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud. In recent days, ATM fraud has decreased, while credit card fraud has increased. This study examines articles from five foremost databases. The literature review is designed using extraction by database, keywords, year, articles, authors, and performance measures based on data used in previous research, future research directions and purpose of the article. This study identifies the crucial gaps which ultimately allow research opportunities in this fraud detection process by utilizing knowledge from the machine learning domain. Our findings prove that this research area has become most dominant in the last ten years. We accessed both supervised and unsupervised machine learning techniques to detect cybercrime and management techniques which provide evidence for the effectiveness of machine learning techniques to control cybercrime in the credit card industry. Results indicated that there is room for further research to obtain better results than existing ones on the basis of both quantitative and qualitative research analysis.info:eu-repo/semantics/publishedVersio

The impact of responsible leadership on knowledge sharing behavior through the mediating role of person−organization fit and moderating role of higher educational institute culture

The aim of this study is to investigate the effect of responsible leadership on knowledge sharing behavior. Furthermore, we investigated the mediating role of person-organization fit in the relationship between responsible leadership and knowledge sharing behavior. Moreover, higher educational institute culture moderates the relationship between responsible leadership and person-organization fit. The data collected from 295 respondents (teachers, head of department and management staff) from universities located in different cities of China. The data were gathered at one time, and therefore, the study is cross-sectional. Because of COVID-19, there have been a few universities closed; therefore, data were also collected online. The data were analyzed quantitatively using the partial least squares (PLS)−structural equation modelling (SEM) technique. The result indicated that responsible leadership is positively and significantly influential on knowledge sharing behavior directly, and also indirectly through mediator person-organization fit. Also, the higher educational institute culture positively and significantly moderates the relationship between responsible leadership and person-organization fit