Missing data are a common occurrence in survey-based research studies in education, and
the way missing values are handled can significantly affect the results of analyses based on …

Continued globalization, vast amounts of accessible data on public platforms, and advances
in technology are changing the complexity of competitive intelligence (CI) and presenting …

This paper provides the most fully comprehensive evidence to date on whether or not
monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s. We …

Although school districts provide collaborative cloud computing tools such as OneDrive and
Google Drive for students and teachers, the use of these tools for grading and feedback …

This study looked at the effect of a number of factors such as the choice of analytical method,
the handling method for missing data, sample size, and proportion of missing data, in order …

This paper is an editorial guide for the second special issue on Computational Intelligence
in economics and finance, which is a continuation of the special issue of Information …

Optimization methods have had successful applications in business, economics, and
finance. Nowadays the new theories of soft computing are used for these purposes. The …

The aim of this study is to investigate whether a combination of agile system development
methodologies (ASDMs) and project management methodologies (PMMs) can be used to …

The article presents a study which aims to predict the Bucharest Stock Exchange BET Index
in Romania in a more robust way using a novel computational intelligence (CI) approach. It …

Optimization methods have had successful applications in business and public services.
Nowadays the new theories of soft computing are used for these purposes. The applications …