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1.
Proceedings of the 33rd International Conference on Information Modelling and Knowledge Bases EJC 2023
2023

Opis: The proceedings of the thirty-third conference EJC 2023 combine the experience and knowledge of the experts working and different research fields of Information modelling, Conceptual modelling, Knowledge and information modelling and discovery, Linguistic modelling, Cross-cultural communication and social computing, Environmental modelling and engineering, and Multimedia data modelling and systems.
Ključne besede: conceptual modelling, knowledge modelling, information modelling, linguistic modelling, cross-cultural communication, social computing, environmental modelling, multimedia data modelling
Objavljeno v DKUM: 02.06.2023; Ogledov: 866; Prenosov: 20
.pdf Celotno besedilo (30,93 MB)
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2.
Relationship between knowledge management information solutions and human resource management in IT companies
Jelena Horvat, 2015, doktorska disertacija

Opis: Knowledge has been recognized as currency for organizational sustenance and competitive advantage and is the most prominent among traditional factors of production, such as land, labour and capital. Human resource management (HRM) includes decisions that affect the success of business, all with aim of achieving long-term goals. This thesis supports the premise of relationship between HRM and knowledge management (KM) with focus on information solutions and aims to elaborate on this link from the aspect of ICT companies. Four major parts in this thesis can be distinguished: first three concern the literature analysis of current findings and fourth part covers methodology, data analysis and conclusion. In the first part, current literature findings in the field of human resource management, its functions, applications, IT systems and previous research from Slovenia and Croatia are presented. HRM is observed through HRM functions (recruitment and selection; training and development; performance appraisal). In addition to functions, various research has been done in the field of best practices, which lead to enhancement of HR. These HR best practices are considered as important factors for successful knowledge management development. This thesis tries to present and comprehend the best practises of HRM through literature analysis and classification. Second part of the literature analysis concerns the knowledge management processes, systems and mechanisms, which are explained and supported with current research results. In the third part, findings on the relationship between HRM and KM are analysed providing a conceptual model for empirical research. This doctoral thesis focuses on two aims: the analysis of previous research findings in two perspective fields (human resource management and knowledge management) and developing and testing a conceptual model that would explain the relationship between them. Achieving these aims required a comprehensive preliminary research; involvement of experts in the field of HRM and a whole set of recent statistical techniques and findings to be applied for data analysis and interpretation. Three main hypotheses and a conceptual model regarding KM and HRM were formed based on literature findings. A total of 274 completed responses were received from companies. For data analysis and hypothesis software tool the SmartPLS is used. In ICT companies and IT departments in Slovenia and Croatia, the relationship between HRM functions and effective factors with knowledge management and information solutions is analysed. Data analysis showed that in most case there is not a large difference between Slovenian and Croatian companies when it comes to HRM functions and KM solutions. One of the major contributions is the analysis of literature evidence and providing new classification and categorization of the HRM best practice. Accordingly, after literature analysis, indicators of the HR best practice were categorized into two effective factors: Work design structures (sub-factors: Design of Work and Design of relationship) and Encouraging and opportunity structures. Second contribution are the hypothesis testing through which relationship between effective factor and knowledge management, and HRM functions, information solutions and knowledge management was analyzed. Data for this thesis was collected through online questionnaire administered to ICT companies in Slovenia and Croatia. This dissertation systemizes current literature findings in two perspective field and it offers an inside in the ICT companies form Slovenia and Croatia. Due to the fact that such research has not yet been done in Slovenia and Croatian nor systematization and classifications of best practices has been provided, this dissertation contributes to the field of human research management and knowledge management through theoretical and empirical findings.
Ključne besede: Human Resources Management, Knowledge Management, Knowledge Management Information Solutions, IT companies, Structural Equation Modelling
Objavljeno v DKUM: 24.04.2015; Ogledov: 2201; Prenosov: 213
.pdf Celotno besedilo (2,38 MB)

3.
ACQUIRING TEMPORAL KNOWLEDGE FOR MAKING DECISIONS IN MEDICAL PROCESSES
Aida Kamišalić Latifić, 2014, doktorska disertacija

Opis: A medical process is a set of medical actions performed by healthcare professionals while making observations about signs and symptoms, ordering interventions, prescriptions, tests, and any other actions in order to solve a health problem that is affecting a particular patient. The objective is to offer a curative, chronic, palliative and/or symptomatic treatments. The capability of a physician to propose an appropriate treatment depends on his/her knowledge of similar clinical cases and by following advances in the treatment of particular diseases. Time is an important concept of the real world that has to be considered in regard to medical processes. Clinical Practice Guidelines (CPGs) are a narrative set of recommendations for treating patients suffering from a particular disease. By constantly referring to CPGs physicians can stay up to date with the best evidence-based medical care and with the recommendations of experts. The time dimension is, however, often omitted or only partially covered in CPGs. Some CPGs do contain certain recommendations considering time but often there are huge gaps that are supposed to be overcome by physicians’ own knowledge and experience. At the same time, healthcare centres hold healthcare records and information systems that register medical processes and patients data, including information about the times of any encounters, prescriptions, and other medical actions. Therefore healthcare records and information systems data can be a source for detecting temporal medical knowledge and sound evidence regarding healthcare. This thesis is centred on temporal knowledge acquisition and representation for the purposes of decision-making during medical processes. CPGs were analysed to obtain procedural knowledge models and Extended Timed Transition Diagrams defined for representations of the obtained knowledge. The data about the treatments of patients were analysed in order to detect temporal medical knowledge models that represented those medical procedures that were carried out while the data was being generated. These models thus provided an explicit representation of the time dimensions of past medical procedures. They could be used for complementing the knowledge provided by CPGs, for studying adherences to the CPGs and for representing a basic framework for medical procedural decision support systems development.
Ključne besede: knowledge acquisition, knowledge representation, temporal knowledge, decision-making, medical processes, procedural knowledge modelling
Objavljeno v DKUM: 25.02.2014; Ogledov: 1921; Prenosov: 179
.pdf Celotno besedilo (2,91 MB)

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