Journal of Information and Organizational Sciences (JIOS)
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From the Editor
No full textDear authors, reviewers and readers,I am proud to introduce to you 39 (1) issue of the Journal of Information and Organizational Sciences. I would like to thank all authors and reviewers for their efforts that make this issue possible to be published.In this issue, you will find seven papers of respectable quality: five original scientific papers and two survey papers. The papers in this issue really affirm that this journal covers wide field of themes in information and organizational sciences from the neural networks and algorithms, through the knowledge management to the usage of ICT in the business.Therefore, I hope that every reader will be able to find some paper that is interesting to him or her and close to the research field of his or her interest.I wish you a pleasant reading.Alen LovrenčićEdito
Review of Data Mining Techniques for Churn Prediction in Telecom
No full textTelecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value addedservice. This data can be usefully mined for churn analysis and prediction. Significant research had been undertaken by researchers worldwide to understand the data mining practices that can be used for predicting customer churn. This paper provides a review of around 100 recent journal articles starting from year 2000 to present the various data mining techniques used in multiple customer based churn models. It then summarizes the existing telecom literature by highlighting the sample size used, churn variables employed and the findings of different DM techniques. Finally, we list the most popular techniques for churn prediction in telecom as decision trees, regression analysis and clustering, thereby providing a roadmap to new researchers to build upon novel churn management models
A Study on Knowledge Gain and Retention when Using Multimedia Learning Materials of Different Quality
No full textThe usage of multimedia has proven to foster meaningful learning, but not every multimedia resource will necessarily contribute to the teaching-learning process. Since for the development of multimedia learning materials (MLMs) additional time and effort is required for everyone involved in the development process to pay proper attention to its quality in order to achieve desired learning effects. The paper deals with issues regarding the quality of multimedia learning materials (MLMs) as well as the relationship between MLM quality and knowledge retention. The results of an experimental study that involves low-quality and high-quality MLMs for two different topics and their effects on knowledge gain and retention of the polytechnic school students are presented. For the purpose of the research the LORI assessment tool was used to evaluate the quality of MLMs. The analysis of research data shows that MLMs developed according to the principles of multimedia learning and principles for reducing cognitive load were perceived as being of higher quality than those that were not developed using multimedia principles. Furthermore, the students’ usage of high-quality MLMs during treatment resulted in better knowledge acquisition and retention indicated by significantly higher scores in the three knowledge assessments
Awareness of Cloud Computing in Slovenian and Croatian Micro-Enterprises
No full textThis paper presents a comparison of the two studies conducted in Slovenian and Croatian micro-enterprises (µE) about the awareness of the cloud computing (CC). We were interested in the issues relating to the characteristics of µE and the latter's use of information and communication technology (ICT) in business processes. Also, the characteristics of owners and µE were investigated. We found that the results obtained in the two countries were similar. In both cases, the most important CC characteristics were reliability, security and performance. Given that CC could represent a good business opportunity for µE, some managerial implications are proposed
Methods and Algorythms of Alternatives Ranging in Managing the Telecommunication Services Guality.
No full textThe article deals with methods of solving the problem of ranging of alternatives in information-analytical system of managing the quality of telecommunication services rendering process. Tasks of choice are determined, in which the alternatives are as follows: states of quality of different objects in the structure of telecommunication company management. An algorithm of ranging of objects is elaborated for the case of using unstructured set of indices. The algorithm enables to determine the objects priorities and to select the best ones among them. The suggested methods may be used while elaborating the programs of improvement of telecommunication companies competitiveness
Evaluating Expert Estimators Based on Elicited Competences
No full textUtilization of expert effort estimation approach shows promising results when it is applied to software development process. It is based on judgment and decision making process and due to comparative advantages extensively used especially in situations when classic models cannot be accounted for. This becomes even more accentuated in today’s highly dynamical project environment. Confronted with these facts companies are placing ever greater focus on their employees, specifically on their competences. Competences are defined as knowledge, skills and abilities required to perform job assignments. During effort estimation process different underlying expert competences influence the outcome i.e. judgments they express. Special problem here is the elicitation, from an input collection, of those competences that are responsible for accurate estimates. Based on these findings different measures can be taken to enhance estimation process. The approach used in study presented in this paper was targeted at elicitation of expert estimator competences responsible for production of accurate estimates. Based on individual competences scores resulting from performed modeling experts were ranked using weighted scoring method and their performance evaluated. Results confirm that experts with higher scores in competences identified by applied models in general exhibit higher accuracy during estimation process. For the purpose of modeling data mining methods were used, specifically the multilayer perceptron neural network and the classification and regression decision tree algorithms. Among other, applied methods are suitable for the purpose of elicitation as in a sense they mimic the ways human brains operate. Data used in the study was collected from real projects in the company specialized for development of IT solutions in telecom domain. The proposed model, applied methodology for elicitation of expert competences and obtained results give evidence that in future such a model can be used in practice to reduce estimation error and enhance expert effort estimation
The Development of Conceptual, Mathematical and System Dynamics Model for Food Industry Wastewater Purifying System
No full textThe paper presents the development of the conceptual, mathematical and system dynamics model for the food industry wastewater purification system which removes organic matter. The food industry often located in places where is difficult to install large systems for water purification while small sophisticated systems are expensive. Wastewater food industry is contaminated with organic matter, phosphorus and nitrogen compounds. This paper presents model of the small, cheap and effective cleaner water. The goal of the scientific investigation is developing such a model for purification wastewater and methodology design suitable to significant behavior patterns of contamination matter. Developed conceptual model is a computer variables model uses randomly chosen values from the theoretical probability distribution of the variable applied. For the validation of the model, considering that the distributions are asymmetrical non-Gaussian distributions, a non-parametric test was applied. Methodology proposed in the paper is mostly based on the simulation modeling
Analysis of human resources in science and technology in ICT companies–case of Croatia
No full textThis paper integrates theories and findings of the level of tertiary educated workforce, the human resources in science and technology and skills that are desirable in employees from in the information and communication technologies (ICT) sector. It is important to examine the real situation on the labor market in the ICT sector, which is often referred to as the key to overcoming the crisis and the future of national economy. Basic statistical elements, upon which to predict future demand for human resources in science and technology (HRST), are people who enter tertiary level of education (inputs) or are already in the system (throughputs), but until graduation are not considered HRST’s (outputs). Analysis is based on a sample of 56 small companies in ICT sector in Croatia. This paper presents the overview of the situations of human resources in small companies ICT sector in Croatia. Existing literature on HRST, employee’s skills and ICT sector is reviewed in the light of this analysis, in order to better understand current employment structure and desirable competencies of future employees of small companies in the ICT sector in Croatia
An approach to source code conversion of classical programming languages into source code of quantum programming languages
No full textBasic principles of quantum computer ensure more computing power than the principles of classical computers. Quantum computers use quantum mechanical effects such as entanglement and superposition to speed up computing processes compared to classical computers. If the quantum computers one day becomes a commercially available product, then it is very important to have a converter that will convert the source code of programming languages for classical computers into source code of programming languages for quantum computers because it will speed up the translation process and ensure that developers of classical computers can develop programs for quantum computer using programming languages for classical computers. In this paper, the basic approach to automatic conversion of the source code for classical computer into a source code of quantum computer is introduced