This paper provides a framework of using news articles andeconomic data to model the exchange rate changes between Euro andUS dollars. Many studies have conducted on the approach of regressingexchange rate movement using numerical data such as macroeconomicindicators. However, this approach is...

Fully taking into account the hints possibly hidden in the absent data,this paper proposes a new criterion when selecting attributes for splitting tobuild a decision tree for a given dataset. In our approach, it must pay a certaincost to obtain an attribute value and pay a cost if a prediction...

This paper addresses the issue of services outsourcing by looking at both theoretical and empirical arguments. Previous debates have often concentrated on the motives for adopting the practice rather than the outcomes. These various themes can be discussed under the twin concepts of the cost and...

Over the past decade, there has been proliferation in the number of studies looking into IT enabled outsourcing. Little attention has been given to outsourcing of services in other sectors, such as Engineering and Facilities Management (EFM), which have also seen explosive growth. The article...

This paper applies Bayesian network tecbnique tomodel and inference tbe uncertain relationsbips among costfactors and benefit factors in E-services. A cost-benefitfactor-relation modelproposed in our previous study is consideredas domain knowledgeand tbe data collectedtbrougb a survey is...

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and...

This chapter addresses the methodological challenges of developing relevant scientific knowledge for a sustainable energy system transition in an innovative way. We argue that scientific contributions to sustainable development do not follow the `linear? procedure from empirical knowledge...

With the increasing importance of cognitive aspects in decision making, this research addresses how human cognitive abilities, mainly situation awareness and mental models, can be used to drive the decision process in complex decision situations. Cognitive orientation has long been regarded as...

Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leader???s...

Strategic bidding problems are becoming key issues in competitive electricity markets. This paper applies bilevel optimization theory to deal with this issue. We first analyze generating company strategic bidding behaviors and build a bilevel optimization model for a day-ahead electricity...