Contribution of the adjusted empirical analysis of the RSULE and FAO models in the estimation of soil losses in the watershed of Wadi El Hayat (Saudi Arabia)

2021 ◽  
Vol 14 (21) ◽  
Author(s):  
Naima Azaiez ◽  
Narjes Baazaoui ◽  
Ilhem Fethi Blel ◽  
Besma Sghaier Hammami
2015 ◽  
Vol 6 (1) ◽  
pp. 46-60
Author(s):  
Hend S. Al-Khalifa

Twitter spam accounts try to spread malicious content, deceive or advertise certain thoughts over Twitter network. Different approaches have been presented both in industry and academia to identify spammers on Twitter. This study aims at understanding the behavior of Twitter spam accounts targeting Saudi Arabia. In this study the author performs an empirical analysis of Twitter spam accounts in Saudi Arabia by applying previous techniques found in various research studies for extracting and analyzing such accounts. The activity levels of spam accounts as well as their content were gathered over a two months period. The study not only analyzes the content of spam accounts but also recognizes their behavior. Results show that Twitter spam accounts targeting Saudi Arabia are naïve and still in their infancy. Third party tools are used to control them for spreading duplicate content and perform retweets. Also trendy hashtags are polluted with specific content in a way to frame the public opinion.


2011 ◽  
Vol 28 (2) ◽  
pp. 136-148 ◽  
Author(s):  
Reetu Verma ◽  
Ali Salman Saleh

Policy Papers ◽  
2012 ◽  
Vol 2012 (16) ◽  
Author(s):  

This paper provides additional detail for the framework discussed in “Enhancing Surveillance – Interconnectedness and Clusters” through theoretical and empirical analysis of linkages, including case studies of Saudi Arabia, the Asian supply chain, financial interconnectedness and cross-border policy dependence in banking, and the Sweden-Baltic connections. It also provides a detailed primer on network analysis.


2016 ◽  
Vol 14 (1) ◽  
pp. 175-194 ◽  
Author(s):  
Abdullah Al-Maghzom ◽  
Khaled Hussainey ◽  
Doaa Aly

This study contributes to the existing risk disclosure literature in emerging economies, in particular Saudi Arabia (SA), by examining the levels of risk disclosure in the annual reports of both Islamic and non-Islamic listed banks. This investigation uses a manual content analysis method to examine all Saudi listed banks from 2009 to 2013. This study also develops two holistic risk disclosure indices to measure the levels of risk disclosure in both Islamic and non-Islamic banks. The empirical analysis shows that Islamic banks report less risk information than non-Islamic banks. However, the analysis also reveals that both Islamic and non-Islamic banks report relatively the same amount of risk information regarding the banks’ universal items. Furthermore, the empirical analysis shows that Islamic banks report very low risk disclosure items. The study’s findings have practical implications. They inform the regulators about the current level of risk disclosure in all Saudi listed banks (Islamic and non-Islamic). For example, the findings show that Islamic banks report less risk information than their non-Islamic counterparts. The practical implications for managers from these findings are that in order to keep investors satisfied, banks with low levels of risk disclosure should enhance their reporting practices. This will help investors when making investment decisions. To the best of the researchers’ knowledge, no prior research has previously been conducted on the levels of risk disclosure in Saudi Arabian listed banks. Therefore, this is the first study to examine the levels of risk disclosure in the context of Saudi Arabia.


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