Security and Privacy Liability Policy in the Arab World

2021 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Kyounggon Kim
Keyword(s):  
Gap Analysis ◽  
Arab World ◽  
Evaluation Model ◽  
Arab Countries ◽  
Security And Privacy ◽  
Analysis Model ◽  
Short Term ◽  
Cyber Threats ◽  
Gap Analysis Model

Focusing on Cooperation, Capability, and Assessment (ACC) approach performed in top-down, bottom-up, short-term, and long-term (TBSL). Cooperation between countries is essential to proactively respond to various cyber threats such as cyber criminals and cyber terrorists and to show rapid recovery resilience. Develop a cybersecurity evaluation model and a gap analysis model and spread them to the remaining Arab countries.

The Impact of Emigration on National Development in the Arab Region: The Case of the Yemen Arab Republic

1982 ◽  
Vol 16 (4) ◽  
pp. 757-780 ◽  
Author(s):  
Nader Fergany
Keyword(s):  
Negative Impact ◽  
National Development ◽  
Arab Countries ◽  
Labor Movements ◽  
Short Term ◽  
Arab Region ◽  
Wide Scale ◽  
The Impact ◽  
Yemen Arab Republic

Labor migration among Arab countries is the most important phenomenon in the political economy of that region at present and will remain so for some time. The focus of this article is the impact of emigration on national development in labor sending countries experiencing wide-scale emigration, the main contention being that, due to the characteristics of contemporary labor movements among Arab countries, there obtains a contradiction between short term benefits and long term adverse effects. The article briefly defines development, then presents empirical evidence from the Yemen Arab Republic of the negative impact of labor emigration.

scholarly journals Macro Variable Effect Analysis and Non-Performing Financing (NPF) Against the Return On Asset (ROA) Islamic Banks In Indonesia Year 2008-2017

2020 ◽  
Vol 3 (1) ◽  
pp. 32-47
Author(s):  
Fikri Ainul Qolbi ◽  
Dwi Pratika Karisma ◽  
Imron Rosyadi
Keyword(s):  
Interest Rates ◽  
Secondary Data ◽  
Islamic Banks ◽  
Analysis Model ◽  
Short Term ◽  
Return On Assets ◽  
Effect Analysis ◽  
Variable Effect ◽  
Macro Variables

Islamic Banks is a business entity that raises and distributes funds from the community and for the community. The study was conducted to analyze the macro variables and NPF (Non-Performing Finance) to ROA (Return on Assets) to determine the relationship between short-term and long-term between variables. The analysis model used is the Eagle Granger ECM Stage Two test that uses secondary data from the serial data (time series). The results of this study indicate that NPF simultaneously, GDP, and interest rates affect the ROA. Partially GDP positive and significant effects in the long term and short term, NPF positive and significant effect in the long term, interest rate, and no significant positive effect on ROA.

scholarly journals Applying revised gap analysis model in measuring hotel service quality

SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Yu-Cheng Lee ◽  
Yu-Che Wang ◽  
Chih-Hung Chien ◽  
Chia-Huei Wu ◽  
Shu-Chiung Lu ◽  
...  
Keyword(s):  
Service Quality ◽  
Gap Analysis ◽  
Analysis Model ◽  
Hotel Service ◽  
Hotel Service Quality ◽  
Gap Analysis Model

Network Security Situation Awareness Model Based on Multi-Period Assessment

2013 ◽  
Vol 411-414 ◽  
pp. 613-618
Author(s):  
Chun Li ◽  
Xiao Liu Shen
Keyword(s):  
Network Security ◽  
Situation Awareness ◽  
Evaluation Model ◽  
Original Data ◽  
Term Result ◽  
Fusion Model ◽  
Time Dimension ◽  
Short Term ◽  
Short Term Result

This article proposes a new model which is called hierarchical network security situation awareness model. The model emphasizes the time dimension in the assessment, it divides the assessment into two parts: short-term and long-term. The data source is the logs, flow data and others generated by equipments. These original data through the data fusion model and the situation evaluation model to obtain the short-term result, this result is the foundation of long-term. Combine the static indicators with dynamic which is calculated by short-term to figure out the long-term result. This model is based on multi-source data, and expand quantitative assessment in the different levels of time dimension, it makes up the security situation assessment in multi-period assessment and has advantage in network security situation prediction.

scholarly journals Impact of Monetary Policy and Foreign Direct Investment Against Indonesia's Economic Growth

2022 ◽  
Vol 4 (1) ◽  
Author(s):  
Faridsky Faridsky ◽  
Syarwani Canon ◽  
Boby Rantow Payu
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Exchange Rates ◽  
Interest Rates ◽  
Secondary Data ◽  
Analysis Model ◽  
Short Term ◽  
Indicator Variables ◽  
The Impact

This study aims to determine the impact of monetary policy and FDI on economic growth and discuss it. The monetary indicator variables used are inflation, interest rates and exchange rates. The data used in this study are secondary data in 1990-2019 sourced from data from the Central Bureau of National Statistics and the World Bank. The analysis model in this study uses Multiple Linear Regression with the Error Correction Model (ECM) analysis model. The results of the analysis show that in the long term monetary variables (inflation, interest rates and exchange rates) have a significant effect on economic growth. And in the short term FDI has a significant effect on economic growth. It is concluded that monetary variables (inflation, interest rates and exchange rates) are the main variables that affect economic growth in the long and short term.

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