When making an investment decision the investor has got many alternative investment options available. The task of the investor is to choose one investment that will best accomplish the objectives of the investment project. In order for an investment to be possible, it is common practice to create a document that plans and especially outlines the form of the investment project. In order to choose an investment that best meets the goals of the project, it is necessary to evaluate the project. There are evaluation methods available for the investor to assess the effectiveness of an investment project. The results given by these methods are usually conflicting, thus causing difficulties for the investor's decision-making abilities.This paper presents a model for improving the decision process in investment. The purpose of this model is to indicate the need for using methods such as the multi-criteria analysis method in order to evaluate the effectiveness of an investment. Due to the fact that the results of the evaluation methods are often different, it is necessary to take into account that there are a number of criteria that need to be acknowledged, in order to make the best investment decision. Multi-criteria analysis can be used to rank potential investment projects and enhances the decision-making process that is required to meet the goals of an investment.Keywords: investment projects, making the investment decision, methods of multi-criteria analysis * Corresponding author: adispuska@yahoo.com S e r b i a n J o u r n a l o f M a n a g e m e n t

Increasing competition present in the higher education in B&H has conditioned the trend that institutions need to "fight" for each student via quality development at higher education institutions. This paper deals with means of enhancing quality at eMPIRICA College through continual investigation of students' satisfaction. For the purpose of this research, we used a quality questionnaire related to quality, satisfaction and loyalty of students. The research was carried out at the start and end of the academic year. This approach ascertained a gap with respect to quality, satisfaction and loyalty of students of eMPIRICA College. Using factor analysis the statements were grouped in 3 quality dimensions. The results of multivariate analysis of variance (MANOVA) showed that there is a significant statistical difference between expected and perceived quality, satisfaction and loyalty on the part of the students. Based on that, a gap between expectations and perceptions was ascertained. The use of t-test revealed that some statements have significant statistical difference in the area of expected and perceived quality, satisfaction and loyalty of students.

Abstract:In today's modern age, information systems are of vital importance for successful performance of any organization. The most important role of any information system is its information support. This paper develops an information support model and presents the results of the survey examining the effects of such model. The survey was performed among the employees of Brčko Distric Government and comprised three phases. The first phase assesses the influence of the quality of information support and information on information support when making decisions. The second phase examines the impact of information support when making decisions on the perceived availability and user satisfaction with information support. The third phase examines the effects of perceived usefulness as well as information support satisfaction on user loyalty. The model is presented using six hypotheses, which were tested by means of a multivariate regression analysis. The demonstrated model shows that the quality of information support and information is of vital importance in the decision-making process. The perceived usefulness and customer satisfaction are of vital importance for continuous usage of information support. The model is universal, and if slightly modified, it can be used in any sphere of life where satisfaction is measured for clients and users of some service.

Odabir p stu multivarijatne homogene skupine. Klaster analiza rijetko analize. Ovaj rad nastoji objasniti primj uporaba klaster analize.Klaster analiza, k-mean analiza, dendrogramSummary: The application of a multivariate analysis is very broad and wide-spread. Within the context of a multivariate analysis there are many methods that can be used in statistical analysis. Cluster analysis is the method which compares the observation units based on their inter-connection and classifies them into homogeneous groups. Cluster analysis is rarely used independently within economic research. It is usually used in collaboration with other methods belonging to the multivariate analysis. This paper attempts to explain the application of cluster analysis in economic research, as well as the theoretical, methodological and practical segment of application. Additionally it provides an overview of the application of cluster analysis in economic research and it provides guidelines for the future application of this method. The end of the paper presents the application of cluster analysis through a practical example.

dnosa korisnika i informacijskih sustava potrebno je ustanoviti kakav utjecaj kta BiH i Javnom ispitanika, radno mjesto, starosna dob, Prilikom ispitivanja postavljenih hipo SPSS 20,0, a od analiza je provedena multivarijabilna analiza varijance (MANOVA) te analiza