2020
DOI: 10.5455/jcmr.2020.11.01.17
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Anaysis of Impacts of a Six Factor Model Case on Eib Stock Price in Commercial Banking Industry in Vietnam -- And Roles of It Security and Risk Management

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Cited by 15 publications
(6 citation statements)
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“…Studies of this caliber also showed the positive impact of COVID-19 on DAS use and performance [6][7][8]26,43]. Using digital technologies such as DAS is one of the top success factors among SMEs [10,102]. Overall, COVID-19 pushed enterprises to upgrade their technologies and automate their infrastructure for secure and effective business interactions and processes [103].…”
Section: Discussionmentioning
confidence: 99%
“…Studies of this caliber also showed the positive impact of COVID-19 on DAS use and performance [6][7][8]26,43]. Using digital technologies such as DAS is one of the top success factors among SMEs [10,102]. Overall, COVID-19 pushed enterprises to upgrade their technologies and automate their infrastructure for secure and effective business interactions and processes [103].…”
Section: Discussionmentioning
confidence: 99%
“…According to Ma, Hou, and Zhang (2021), credit risk assessment is a methodical procedure that aims at comprehending the nature of risks and ascertaining the degree of risk that could have an impact on an organization's profitability. Identifying and analyzing risks is the main goal of assessments so that they can be regulated and controlled (Phuong, Huy, & Van Tuan, 2020). The likelihood of obtaining targeted results is a factor that bank managers should consider when determining costs, schedules, and performance goals.…”
Section: Credit Risk Assessment and Profitabilitymentioning
confidence: 99%
“…In order for the calculated user to achieve the effect of weight fusion in the nal result, it is necessary to process the lter method with the value of the cut and cold start. If the content to be accessed involves content such as sequences, history, logs, etc., it is necessary to further advance the ltering method and calculation with mutual speed [13]. The neural network model proposed in the literature can combine recommended systems with machine learning to facilitate the evolution of recommended systems in various directions [14].…”
Section: Related Workmentioning
confidence: 99%