|
|
|
|
|
Pablo de Llano, Carlos Piñeiro, Manuel Rodríguez
Pág. pp. 163 - 198
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the...
ver más
|
|
|
|
|
|
|
|
|
Lucky Nugroho,Akhmad Amien Mastur,Ulfa Ulfa,Tri Wahyono,Soeharjoto Soeharjoto
Pág. 124 - 140
Abstract: This study aimed to analyze and compare the factors that affect the return on assets (ROA) of Islamic commercial banks (BUS) and Islamic business units (UUS). This study?s independent variables are NPF, FDR, and MSMEs. The study used the q...
ver más
|
|
|
|
|
|
|
|
|
Ioannis Lysaridis, Panos T. Chountalas and Anastasios I. Magoutas
In contemporary academia and industry, the commercialization of technology through licensing has emerged as a prevalent strategy. This paradigmatic shift has prompted numerous industrial firms to intensify their focus on technology commercialization as a...
ver más
|
|
|
|
|
|
|
|
|
Jirí Du?ek
The paper focuses on the analysis of the computerization of public administration in the Czech Republic in the context of the implementation and operation of data mailboxes, which have been an integral and very important part of e-Government in that coun...
ver más
|
|
|
|
|
|
|
|
|
Gaurang Sonkavde, Deepak Sudhakar Dharrao, Anupkumar M. Bongale, Sarika T. Deokate, Deepak Doreswamy and Subraya Krishna Bhat
The financial sector has greatly impacted the monetary well-being of consumers, traders, and financial institutions. In the current era, artificial intelligence is redefining the limits of the financial markets based on state-of-the-art machine learning ...
ver más
|
|
|
|