Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous
surge in research activities in the past decade. While ANNs provide a great deal of promise, …

Social media have changed how buyers and sellers interact, and increased involvement
through social media may yield positive results for sales organizations if salespeople utilize it in …

In this paper, we present a general framework for understanding the role of artificial neural
networks (ANNs) in bankruptcy prediction. We give a comprehensive review of neural …

This study presents an experimental evaluation of neural networks for nonlinear time-series
forecasting. The effects of three main factors — input nodes, hidden nodes and sample size, …

… Michael Y. Hu is professor of marketing at Kent State University and the Chinese University
of Hong Kong. Wayne Y. Lee is the Alice L. Walton Professor of Finance at the University of …

Neural networks have successfully been used for exchange rate forecasting. However, due
to a large number of parameters to be estimated empirically, it is not a simple task to select …

Using the transaction cost framework, this paper examines the determinants of entry mode
choice by multinationals and the impact of the entry mode choice on performance in a unified …

Iron is the most abundant transition-metal element in the mantle and therefore plays an
important role in the geochemistry and geodynamics of the Earth's interior 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 …

Data transformation is a popular option in training neural networks. This study evaluates the
effectiveness of two well-known transformation methods: linear transformation and statistical …

Abstract Theory suggests that culture may hinder the ability to effectively standardize the
process of relationship development strategies across intra- and inter-cultural relationships. …