The aim of this paper is to report primary changes in the market concerning public relations and atmosphere in stores. This study examines the impact of public relations and various dimensions (factors) of the atmosphere on creation (formation) of the purchase decision. The aims of study were: determine in which way the atmosphere affects the purchase decision; research and specify which kind of atmosphere at the sale point positively influences the purchase decision; research and specify the level of consumer’s satisfaction with the atmosphere in the store. The sample of 200 buyers was chosen on the basis of geographical zone of sampling procedure in Bosnia and Herzegovina. Results show that in most dimensions (factors) creation (formation) of the atmosphere in the store influences significantly on the purchase decision. Furthermore, many dimensions (factors) of the atmosphere were found that affect significantly differently on the purchase decision. The results of this research may be of particular interest to those who organized retail stores.

The paper presents results of research related to the standpoints of users about the main attributes that risk management software should have. This research was based on a survey of appropriate number of companies in Croatia and Bosnia and Herzegovina. The authors developed the questionnaire in order to investigate the standpoints of risk managers, quality managers and others in charge of risk management, about functionality they expect risk management software should support. Namely, in today's global environment, managers and risk managers across all lines of business are accountable for a sustainable risk framework. Adequate software support enables them to take an innovative, risk-based approach to governance and compliance, to gain a holistic, enterprisewide view of risk exposure and near-real-time risk management and monitoring.Software support for risk management process should enable organisations with efficient risk evaluation and assessment, continuous monitoring, reporting and easier improvement of the process. Results of research show the main attributes that risk management software should have in order to fulfill user expectations. Finally, the paper provides some important guidelines and suggestions for risk management software development and improvement.

Student engagement should be one of the most powerful drivers for improvement of quality teaching in higher education. As students are direct beneficiaries of quality teaching, they are able to provide crucial feedback not only on what works well but also on what they would like to be done differently and how. The paper presents results of research related to students' perception of course Accounting Information Systems (AIS) and way of its implementation at the Faculty of Economic - University of Mostar. At this course lectures include many opportunities for active student engagement through cooperative learning activities (debates, team work, and presentation of project results). The authors developed two questionnaires in order to investigate the students' understanding of AIS course at the beginning and at the end of lectures. At the first class students completed a questionnaire about their expectations from AIS lectures (content, their engagement, learning activities, learning outcomes, assessment) and at the last class they completed another questionnaire about their real experiences related to AIS lectures. Research has been conducted for last two years and it enabled authors to use its results to tailor lectures in accordance with student's expectation and accordingly to improve teaching process. DOI: 10.5901/jesr.2015.v5n1s1p147

The paper presents results of research related to perception of creativity in higher education made by the authors at the University of Mostar from Bosnia and Herzegovina. This research was based on a survey conducted among teachers and students at the University. The authors developed two types of questionnaires, one for teachers and the other for students in order to investigate the perception about creativity at the University. Namely, the idea that higher education has key role in development of knowledge-based society and economy has been in the very heart of Bologna process – the overall reform of the higher education in European Union. Also, many official European Union documents identified creativity as a major driving force towards knowledge creation and social and economic advancement through the development of a knowledge society. But, the complex questions of knowledge-based society and economy could not be solved without creative, forward-looking individuals and groups who are not afraid to question established ideas and who are able to cope with the insecurity and uncertainty this entails. If today's universities, including University of Mostar, would not succeed in strengthening creativity of teaching process and education of their teachers and students, development of knowledge society could be at stake. The University of Mostar has been started with implementation of the main postulates of Bologna process since 2005. Almost ten years later, the authors wanted to examine if teachers and students of the University of Mostar are aware of the importance of creativity in higher education for development of knowledge society. That was the main reason why the authors started with research related to perception of creativity at the University of Mostar. The aim of this research was to investigate the awareness of teachers and students of the University related to the necessity to enhance creativity within and by academic community.

The aim of this paper is a presentation of data mining model that could be used for the measurement of current and forecasting of the future customer profitability. The purpose of this model is to forecast activities of individual customers in the future, and to value that company could expect in doing business with them. Modern customer profitability analysis shows that product cost is just one part of the relation enterprise-customer. A general framework for defining customer profitability, besides pure financial items, has to include a lot of non-linear and non-financial elements. Data mining methods do not use conventional learning methods that suffer from imperfections such as inability to explicitly transfer the knowledge from experts to machines or nonexistence of experts' will for knowledge transfer. Data mining can identify and adopt patterns and rules that exist in historical data stored in databases and/or data warehouses. It can work equally well with nonlinear and nonfinancial elements of environment which have influence on profitability results. Neural networks approved their capability for approximate description of any continuous function. Together with robust methods of genetic algorithms used in the learning process of networks, they make a good choice in the process of selecting methods for forecasting customer profitability. The proposed model for the forecasting of the customer profitability uses two data mining methods: neural networks and genetic algorithm. The paper presents results of empirical research related to forecasting of customer determination to specific segment made in a company which produces and distributes products like dry fruits, nuts, seeds and cereals for the market of South-East Europe.