Journal of Information and Organizational Sciences (JIOS)
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    455 research outputs found

    The Current State and Future Perspectives of the Research Information Infrastructure in Croatia

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    The purpose of this paper is to analyze the existing Croatian research information infrastructure and to outline a new model of the Croatian Current Research Information System (CroRIS), required for the systematical monitoring and evaluation of the research processes and output of the Croatian public research and higher education institutions, as well as for the increasing of their international visibility. Based on the results of the analysis of the existing research information infrastructure in Croatia, the general outline of the new CERIF-based CroRIS model is proposed. The analysis of the existing research information infrastructure showed that there are some functional parts which could be reused and/or used as a basis for the implementation of the proposed CroRIS model. The proposed model represents a concept which would allow a quality decision and science-policy making in Croatia

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    The Use of Support Vector Machines When Designing a User-Defined Niche Search Engine

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    Abstract: This study presents the construction of a niche search engine, whose search topic domain is to be user-defined.  The specific focus of this study is the investigation of the role that a Support Vector Machine plays when classifying textual data from web pages. Furthermore, the aim is to establish whether this niche search engine can return results that are more relevant to a user than when compared to those returned by a commercial search engine Through the conduction of various experiments across a number of appropriate datasets, the suitability of the SVM to classify web pages has been proven to meet the needs of a niche search engine. A subset of the most useful webpage-specific features has been discovered, with the best performing feature being a web pages’ Text & Title component. The user defined niche search engine was successfully designed and an experiment showed that it returned more relevant results than a commercial search engine

    An Iterative Automatic Final Alignment Method in the Ontology Matching System

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    Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used. After the execution of these matchers and the aggregation of the results obtained by these matchers, a final alignment method is executed in order to select appropriate correspondences between entities of compared ontologies. The final alignment method is an important part of the ontology matching process because it directly determines the output result of this process. In this paper we improve our iterative final alignment method by introducing an automatic adjustment of final alignment threshold as well as a new rule for determining false correspondences with similarity values greater than adjusted threshold. An evaluation of the method is performed on the test ontologies of the OAEI evaluation contest and a comparison with other final alignment methods is given

    Methodology of Evaluating the Sufficiency of Information for Software Quality Assessment According to ISO 25010

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    The research is devoted to the development of the formalized and ontological models of the software quality according to ISO 25010. These models provide the possibility of the formalization of the software quality assessment according to ISO 25010. This standard would benefit from a formal description. The paper proves that information sufficiency is a critical aspect of software quality assessment. The methods and system of evaluating the sufficiency of the information for software quality assessment according to ISO 25010 are developed. The developed methods and tools provide the increasing the veracity of software quality assessment. The conducted experiments confirm that the developed methodology of evaluating the sufficiency of information for software quality assessment increased the veracity of the software quality assessment in 12% for the automated system for large-format photo print

    Tracking Predictive Gantt Chart for Proactive Rescheduling in Stochastic Resource Constrained Project Scheduling

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    Proactive-reactive scheduling is important in the situations where the project collaborators need to coordinate their efforts. The coordination is mostly achieved through the combination of the shared baseline schedule and the deviation penalties. In this paper, we present an extension of predictive Gantt chart to the proactive-reactive scheduling needs. It can be used to track the evolution of the relationship between dynamic and static elements through the time. The dynamic elements are evolving probability distributions due to the uncertainty and revealed information. The static elements are time-agreements in the baseline schedule. We demonstrate that in the state-of-the-art proactive-reactive scheduling, the baseline schedule is agnostic to the information received during the project execution. The sources of such inflexibility in the problem model and the scheduling methods are analyzed. The visualization is highlighted as a precursor to developing new methods that proactively change the baseline schedule in accordance with the gained information

    Publication Ethics; List of Reviewers; Instructions for Authors

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    Differences in prioritization of the BSC’s strategic goals using AHP and ANP methods

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    The development and empirical verification of the balanced scorecard (BSC) model, using the multi-criteria decision-making methods (MCDM) called the analytic hierarchy process (AHP) and the analytic network process (ANP), are the key issues of the presented research. The paper presents the methodology of the prioritisation of the BSC goals with the AHP and ANP methods. Even though the prioritisation of the goals is possible with both, findings from the empirical analysis showed that the ANP is more complementary with the BSC because of the influences among the goals in the BSC. The ANP supports the modelling of those influences (through dependencies) and the AHP does not. The paper discusses special situations in prioritizing the BSC goals (understanding the ANP from the perspective of the user and the BSC with strategic goals that do not directly influence any other strategic goal) and proposes solutions. Therefore, it can be asserted that introducing the ANP to implement the BSC and vice versa, improved the decision-making approach and the quality of the obtained results. The research was based on a case study of modelling the BSC for Ydria Motors LL (YM), a manufacturing company

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    Journal of Information and Organizational Sciences (JIOS)
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