Journal of Information and Organizational Sciences (JIOS)
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The Scope of the Concept of Information and the Future of Information Science
No full textThe key concept of information science is the concept of information which is tied to a number of complications. The main problem is that there is no definition of this concept. The purpose of this article is an analysis of the concept of information from the position of classical logic. The main method of the article is a conceptual analysis. First, we briefly deal with the overview of the concepts of information, with concepts and their definition as such and with the scope of the concept of information. Then, we provide an analysis of 31 important definitions of the concept of information which were developed within the scope of information science and related fields, and we consider relations between the concept of information and the concepts in other disciplines. Conceptual analysis of the concept of information leads to the conclusion that information is probably a concept that somehow addresses the entire reality, thus that it is a term, which is in the classical logic described as transcendental. This fact, in the view of the fact that information science is a special field, seems to be a serious methodological problem. Problems associated with the broadness of the concept of information have three possible solutions: transformation of information science into the universal science, narrowing the concept of information to a special term, or replacement of the concept of information by a different one. At the end of the article,we briefly point out our solution to the problem
Discretization for Naive Bayes Taking the Specifics of Heart Data into Account
No full textAt the present time heart disease is a major cause of death. Factors such as physical inactiveness, obesity, diabetes, social isolation and aging are expected to make the situation worse. It is worsened even further with misdiagnosis of patients describing heart related issues. A probability decision support approach to diagnosis of heart disease based on Naive Bayes is discussed here as most hospitals collect patient records but these are rarely used for automatic decision support. The approach is analyzed on Statlog heart data with the focus on improving preprocessing methods. As the result, a discretization algorithm with Equal Frequency Discretization which considers the specifics of engaged heart disease patients is presented. Enhancements of achieved accuracy with the added discretization and in comparison with other machine learning algorithms are shown in experiments founded on 10-fold cross-validation
Analysis of Methods and Techniques for Prediction of Natural Gas Consumption: A Literature Review
No full textDue to its many advantages, demand for natural gas has increased considerably and many models for predicting natural gas consumption are developed. The aim of this paper is to present an overview and systematic analysis of the latest research papers that deal with predictions of natural gas consumption for residential and commercial use from the year 2002 to 2017. Literature overview analysis was conducted using the two most relevant scientific databases Web of Science Core Collection and Scopus. The results indicate neural networks as the most common method used for predictions of natural gas consumption, while most accurate methods are genetic algorithms, support vector machines and ANFIS. Most used input variables are past natural gas consumption data and weather data, and prediction is most commonly made on daily and annual level on a country area level. Limitations of the research raise from relatively small number of analyzed papers but still research could be used for significant improving of prediction models for natural gas consumption
The The Role of Firm Characteristics in Voluntary Disclosure of IC Information and Its Importance for High-Tech Companies
No full textThe purpose of this paper is to analyse whether the extent and quality of voluntarily disclosed information regarding intellectual capital (IC) are correlated with certain characteristics of a company. IC is very important for IT companies. Therefore, financial and non-financial statements of 32 high-tech companies were investigated using the content analysis method. To test the influence of firm characteristics on the intellectual capital disclosure index (ICDI), the regression model was used. The size of the firm was the only independent variable that has had a statistically significant influence on the ICDI. The auditor type, as well as financial ratios, have not shown a statistically significant influence on the extent and quality of IC disclosures. This study reflects the state regarding the voluntary IC disclosures in Croatia and therefore the study may be a roadmap for further research and, more importantly, might promote awareness of the importance of transparent reporting
Publication Ethics; List of Reviewers; Instructions for Authors
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Publication Ethics; List of Reviewers; Instructions for Authors
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Digital Transformation Playground - Literature Review and Framework of Concepts
No full textDigital transformation (DT) introduces strategy-oriented and customer-centric changes, based on innovative usage of emerging information and communication technology (ICT), to implement improved or new processes in modern organizations. This paper provides insights into academic publishing trends and offers an analysis of scientific fields in which researches were made followed by a brief analysis of the most influential articles. Paper also identifies and discusses key determinants and influence factors of DT and some emerging trends and technologies, in order to explain organizational and technological context of DT. For better understanding of this mix of business and ICT related concepts, a framework of concepts on DT was developed and called Digital transformation playground (DTP). Its purpose is to get better understanding of what are the mainstream concepts of today, what other and emerging ICT or digitalization concepts in the context of DT arise, and how these technology elements impact business related concepts
Key Success Factors of Information Systems Security
No full textThe issue of information systems security, and thus information as key resource in today's information society, is something that all organizations in all sectors face in one way or another. To ensure that information remain secure, many organizations have implemented a continuous, structured and systematic security approach to manage and protect an organization's information from undermining individuals by establishing security policies, processes, procedures, and information security organizational structures. However, despite this, security threats, incidents, vulnerabilities and risks are still raging in many organizations. One of the main causes of this problem is poor understanding of information systems security key success factors. Identifying and understanding of information security key success factors can help organizations to manage how to focus limited resources on those elements that really impact on success, therefore saving time and money and creating added value and further enabling operational business. This research, based on comprehensive literature review, summarizes most cited key success factors of information systems security identified in scientific articles indexed in relevant databases, of which the top three success factors were management support, information security policy and information security education, training and awareness. At the end, article states identified research gaps and provides readers with possible directions for further researches
From the Editor
No full textDear readers,
it is my pleasure to present you the 2nd number of the 43rd volume of the Journal of Information and Organizational Sciences - JIOS. In this number we proudly present six original scientific papers. These papers cover wide-range of topics related to the field of information and organizational sciences, as well as relevant contributions from related scientific disciplines. Three of the papers touch upon the issues of information systems from various perspectives: information systems security, digital competences in education systems and job scheduling in a high performance computing systems. Other papers tackle the issues of intellectual capital, the dynamicity of consumer knowledge and software languages development. You are invited to share your thoughts regarding the papers in the JIOS. We hope that the variety of topics will draw the attention of researchers in various fields of information sciences and motivate potential authors to submit their research papers in JIOS. We would also like to encourage our readers to become reviewers for papers submitted to JIOS and thus actively contribute to raising the quality of our Journal.
Dijana OreškiEdito