Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …

In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

Business analytics refers to methods and practices that create value through data for
individuals, firms, and organizations. This field is currently experiencing a radical shift due to …

Comprehensively teaches the fundamentals of supply chain theory This book presents the
methodology and foundations of supply chain management and also demonstrates how …

The purpose of this paper is to develop an early warning system to predict currency crises. In
this study, a data set covering the period of January 1992–December 2011 of Turkish …

Forecasting stock market returns is a challenging task due to the complex nature of the data.
This study develops a generic methodology to predict daily stock price movements by …

In data mining, regression analysis is a computational tool that predicts continuous output
variables from a number of independent input variables, by approximating their complex …

Demand forecasting is an important aspect in supply chain management that could
contribute to enhancing the profit and increasing the efficiency by aligning the supply …

Estimate schedule to completion (ESTC) is a difficult variable to determine accurately during
the various phases of construction projects due to the complex, uncertain, and limited nature …

Abstract Artificial Neural Networks (ANNs) are well known for their credible ability to capture
non-linear trends in scientific data. However, the heuristic nature of estimation of parameters …