Iskanje po katalogu digitalne knjižnice

Opis: The paper aims to investigate the main factors influencing the mathematics achievement of social sciences university students in Slovenia. A conceptual model was derived where three categories of variables were taken into account: attitude towards mathematics and math anxiety, engagement in learning activities, and attitude towards involving technology in learning mathematics. Data were collected for seven consecutive academic years and analysed using Structural Equation Modelling (SEM). The results showed a very high coefficient of determination for mathematics achievement (0.801), indicating that variables “Perceived Level of Math Anxiety”, “Self-Engagement in Mathematics Course at University”, and “Perceived Usefulness of Technology in Learning Mathematics”, together, explain 80.1% of the total variance. Based on our findings, we can conclude that teaching in secondary school is a crucial determinant for success in mathematics at university. It is essential to identify the best methods for secondary school math teachers which will help them give future students better entry-level knowledge for universities. These methods will, hopefully, also improve the level of mathematics self-confidence, as well as lower the level of math anxiety, which all considerably affect the performance of students in university mathematics.
Ključne besede: mathematical education, good practices in mathematics, mathematics achievement, education, influencing factors, university, social sciences, structural equation modelling (SEM)
Objavljeno v DKUM: 14.01.2025; Ogledov: 0; Prenosov: 3
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Opis: Drawing on the Technology Acceptance Model (TAM), this research aims to investigate the impact of social, environmental, and technological barriers on adopting the last-mile logistics application. This research used a self-administrative questionnaire to collect 1060 respondents from the Egyptian market and analysed it using partial least square structural equation modeling. The findings revealed that some elements could obstruct the implementation of last-mile delivery technologies, namely complexity, collaboration efforts between users and application developers and the impact of technical knowledge and expertise on the potentially involved users. The sharing economy helps organisations reduce contaminants, emissions and carbon footprints, and last-mile logistics is one of the tools of the sharing economy that can enhance the productivity and competitiveness of logistics and boost consumer fulfillment. This research will help enhance organisations’ performance in Egypt as a developing country and push towards applying environmental sustainability practices, as it introduces a tool to enhance customer satisfaction and reduce emissions by illustrating how last-mile logistics can be implemented. This is particularly important as last-mile logistics face some implementation barriers, especially in developing countries. In addition, it will help in extending the theory through conceptualising its abstract ideas with the research variables and applying it in a different context.
Ključne besede: technology acceptance model, technology implementation barrier, last-mile delivery, sustainability, sharing economy, structural equation modelling
Objavljeno v DKUM: 15.12.2023; Ogledov: 545; Prenosov: 27
Celotno besedilo (1,04 MB)
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Opis: The purpose of this paper is to investigate the pathways leading from innovation to organisational performance by using structural equation modelling. Specifically, we used this analytical tool to test a research framework that is constituted by a set of causal relationships between organisational contingencies, innovation, HRM policies (resourcing, training, rewards, relations), HRM outcomes (skills, attitudes, behaviour), and organisational performance. Employing data from organisations operating in the Greek manufacturing sector, results indicate that the impact of innovation on organisational performance is positive and mediated through HRM policies and HRM outcomes, and moderated by organisational context (management style, organisational culture).
Ključne besede: human resources, innovation strategy, HRM policies, causality, structural equation modelling, Greek manufacturing
Objavljeno v DKUM: 30.11.2017; Ogledov: 1244; Prenosov: 184
Celotno besedilo (1,95 MB)
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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: 2381; Prenosov: 227
Celotno besedilo (2,38 MB)