Artificial intelligence decision support system is always a popular topic in providing the human user with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is to compare different methods of artificial intelligence decision support systems in the investment domain – the goal of investment decision-making is to ...

M&A and green field investment (GFI) are very important methods of company growth. Each of the investment ways could bring different outstanding achievement and development of company, so it is very important to choose the way of investment. This paper discusses the boundary of M&A and green field investment both in external and internal levels, and then uses power industry data to build a deci...

Developing countries are an under researched area in terms of their IT investment decision making. In particular, Jordan as a country is one of the areas where no interpretive case studies have been undertaken to investigate this area of information systems. The banking is one of the largest commercial IT investors in Jordanian economy, therefore it provides a good insight into the IT investmen...

Conflict is the key factor to affect investment and benefits of the industry technologies and innovation strategic alliance. This paper constructs an investment decision model of industry technology innovation strategic alliance by discussing the influence of the conflict on the alliance generic technology investment and the impact of member benefits. The results suggest that maximize revenue o...

RFID technology promises to improve a broad range of processes in logistics and manufacturing. However, market acceptance of RFID develops slower than anticipated. One likely reason is the difficulty to evaluate the resulting effects beforehand. A lot of research has already been conducted on how to assess costs and benefits of RFID investments. But until now the focus has mainly been on logist...

Managerial flexibilities have to be taken into account in ex-ante decision-making on IT investment projects (ITIPs). In many papers of the IS literature, standard financial option pricing models are used to value such managerial flexibilities. Based on a review of the related literature, the paper critically discusses the assumptions of the most frequently used financial option pricing model, n...

learning techniques, such as neural networks, genetic algorithms and fuzzy logic, are achieving more acceptance because of significant advances in information technology. Until recently, these computer algorithms were considered too timeconsuming and computationally hungry to be practical. During the past decade, however, a number of financial institutions have successfully applied these method...

This paper is motivated by the interest in finding significant movements in financial stock prices. However, when the number of profitable opportunities is scarce, the prediction of these cases is difficult. In a previous work, we have introduced evolving decision rules (EDR) to detect financial opportunities. The objective of EDR is to classify the minority class (positive cases) in imbalanced...

The purpose of this project is to describe and explain the foreign investment decision process in the uncertain and turbulent environment of transition economy. By getting an in-depth understanding of how decision-making works in the environment of transition economy, the study intends to contribute to the development of business administration theory in the area of foreign investment decision-...