Strategic Issues Relating to Data Quality for E-Government: Learning from an Approach Adopted in Belgium

2010 ◽  
pp. 113-130
Author(s):  
Isabelle Boydens
2012 ◽  
Author(s):  
Nurul A. Emran ◽  
Noraswaliza Abdullah ◽  
Nuzaimah Mustafa

2013 ◽  
pp. 97-116 ◽  
Author(s):  
A. Apokin

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.


2009 ◽  
pp. 85-96 ◽  
Author(s):  
E. Rustamov

The article considers strategic issues of modernization of the transition economy. The analysis is based on the methodology of the World Economic Forum where special attention is paid to the sequence of the transformation stages. The main conclusion is that modernization should combine implementation of the governance mechanisms with the beneficial use of comparative advantages of the national culture. In fact, modernization of the transition economy should be evolutionary. It is precisely this course of development that is relevant for Azerbaijan which has successfully upgraded its economy in the recent years.


TERRITORIO ◽  
2015 ◽  
pp. 18-25
Author(s):  
Luisa Pedrazzini
Keyword(s):  

2018 ◽  
Vol 20 (5) ◽  
pp. 1 ◽  
Author(s):  
Yulin Shi ◽  
Huajun Tang ◽  
Hao Wang ◽  
Zhongqi Gao ◽  
Lin Wang ◽  
...  

2019 ◽  
Vol 10 (2) ◽  
pp. 117-125
Author(s):  
Dana Kubíčková ◽  
◽  
Vladimír Nulíček ◽  

The aim of the research project solved at the University of Finance and administration is to construct a new bankruptcy model. The intention is to use data of the firms that have to cease their activities due to bankruptcy. The most common method for bankruptcy model construction is multivariate discriminant analyses (MDA). It allows to derive the indicators most sensitive to the future companies’ failure as a parts of the bankruptcy model. One of the assumptions for using the MDA method and reassuring the reliable results is the normal distribution and independence of the input data. The results of verification of this assumption as the third stage of the project are presented in this article. We have revealed that this assumption is met only in a few selected indicators. Better results were achieved in the indicators in the set of prosperous companies and one year prior the failure. The selected indicators intended for the bankruptcy model construction thus cannot be considered as suitable for using the MDA method.


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