Iskanje po katalogu digitalne knjižnice

Opis: Background/Purpose: Companies are becoming aware of the fact that corporate social responsibility (CSR) is becoming the imperative of their sustainable business model despite the potential costs it could generate. Researchers are mostly focused on estimating the relationship between CSR and financial performance where most of the findings indicate their positive relationship. This paper expands existing research and focuses on the relationship between CSR and the risk of bankruptcy using the data from 102 midsize and large companies from non-financial sectors using the data for four years. Research expands existing studies on the EU level according to the fact that most of the existing studies are performed among US companies. Method: Descriptive statistics and SEM-PLS methodology was used to compare and analyze financial data with data collected from 7 groups of stakeholders. Results: Research results indicate that the relation between CSR and the risk of bankruptcy is negative. Conclusion: Becoming a socially responsible company is in the best interest of all stakeholders because CSR activities contribute to financial stability and maintenance of going concern assumption.
Ključne besede: corporate social responsibility, bankruptcy prediction, Altman Z’ score, SEM-PLS methodology
Objavljeno v DKUM: 26.09.2025; Ogledov: 0; Prenosov: 2
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Opis: This study explores how Business and IT Alignment (BITA) influences business performance (PERFO) and corporate sustainability (SPACS) using a mixed-methods case study of an international manufacturing enterprise. The quantitative analysis (PLS-SEM) indicated BITA affects PERFO indirectly through IT service quality (ITSQ), while remote work (EWORK), despite its relation to BITA, showed no significant impact. BITA strongly predicted SPACS by enhancing employees’ sustainability knowledge, confidence, and willingness to act. Qualitative findings from semi-structured interviews revealed a BITA maturity of 3.3 (on a 5-point scale), highlighting its role in sustainability via better decision-making, process optimization, and IT-enabled transparency. Notable discrepancies between managerial and employee perceptions of BITA maturity were identified. Results suggest successful BITA fosters sustainability-oriented behaviour and IT-driven performance improvements, though continuous reinforcement within organizations is required. The study emphasizes the value of integrating qualitative and quantitative methods for comprehensive insights into BITA's impact.
Ključne besede: business and IT alignment (BITA), IT service quality (ITSQ), business performance (PERFO), corporate sustainability (SPACS), remote work (EWORK), mixed methods research (MMR), PLS-SEM, organizational maturity, sustainability awareness, case study
Objavljeno v DKUM: 29.08.2025; Ogledov: 0; Prenosov: 6
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Opis: The rapid development of information technologies has significantly transformed education, making digital tools and e-learning platforms essential for modern learning processes. This research study examines mobile learning (m-learning) adoption among higher education students, emphasising the importance of user acceptance for implementing mobile technologies in education. Using a research model based on the UTAUT framework and analysed via PLS–SEM, the research study investigates business students’ behavioural intention to adopt m-learning platforms (in our case, Microsoft Teams), offering valuable insights into their efficacy and long-term viability, explicitly focusing on the use of mobile devices and the mobile version of the Microsoft Teams application for educational purposes. The study’s findings indicate that all four examined factors significantly influence students’ behavioural intention to adopt m-learning applications, with “performance expectancy” having the most substantial impact. The survey highlights the sustained importance of m-learning even after the pandemic. These results reinforce that students’ expectations of improved performance play a crucial role in adopting mobile apps for m-learning. The findings also suggest that increasing adoption rates requires improving system usability, minimising reliance on external support through intuitive design and training, and leveraging peer influence to enhance engagement in m-learning environments.
Ključne besede: e-learning platforms, m-learning platforms, MS Teams, UTAUT, adoption, PLS–SEM, multigroup analysis
Objavljeno v DKUM: 09.07.2025; Ogledov: 0; Prenosov: 4
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Opis: This paper uses the technology acceptance model (TAM) framework for the research of economic and geography students’ attitudes towards interdisciplinary knowledge. Based on the SmartPLS Structural equation modelling SEM variance-based method, research results were gained through analysis of survey data of economic and geography students. They participated in the Spationomy project in the period of 2017–2019. Online questionnaires were fulfilled before and after students’ participation in the project and their future behavioural intention to use interdisciplinary knowledge was analysed. Based on the research, we can confirm that the Spationomy project has achieved its purpose, as both groups of students (economic and geography students) have acquired interdisciplinary knowledge and students intend to use it also in the future. Therefore, we can argue that the students included in the project in practice gained recognition of systems thinking about the importance of mutual interdisciplinary cooperation towards achieving synergies. The results also show that TAM can be successfully implemented to analyse how students of economics and geography accept the use of interdisciplinary knowledge in the learning process, which is an important implication for management and education as well as from the theoretical implications viewpoint. While effective analysis using TAM has been used successfully and relatively frequently in economics and business field, we have not found relevant examples of its implementation in the broader field of geography. However, the acceptance of geographic information system (GIS) or other information technologies/information software (IT/IS) tool-based approaches of analysis in the geography field may be of most importance. Therefore, also, this represents an important implication for the research area.
Ključne besede: spatial exploration, economic data, economic students, geography students, TAM, PLS SEM, interdisciplinary knowledge, holism, interdependence, strategic management
Objavljeno v DKUM: 07.01.2025; Ogledov: 0; Prenosov: 15
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Opis: PLS-SEM has been used recently more and more often in studies researching critical factors influencing the acceptance and use of information systems, especially when the technology acceptance model (TAM) is implemented. TAM has proved to be the most promising model for researching different viewpoints regarding information technologies, tools/applications, and the acceptance and use of information systems by the employees who act as the end-users in companies. However, the use of advanced PLS-SEM techniques for testing the extended TAM research models for the acceptance of enterprise resource planning (ERP) systems is scarce. The present research aims to fill this gap and aims to show how PLS-SEM results can be enhanced by advanced techniques: artificial neural network analysis (ANN) and Importance–Performance Matrix Analysis (IPMA). ANN was used in this research study to overcome the limitations of PLS-SEM regarding the linear relationships in the model. IPMA was used in evaluating the importance and performance of factors/drivers in the SEM. From the methodological point of view, results show that the research approach with ANN artificial intelligence complements the results of PLS-SEM while allowing the capture of nonlinear relationships between the variables of the model and the determination of the relative importance of each factor studied. On other hand, IPMA enables the identification of factors with relatively low performance but relatively high importance in shaping dependent variables.
Ključne besede: traditional PLS-SEM, artificial neural network (ANN) analysis, Importance–Performance Matrix Analysis (IPMA), ERP system acceptance, TAM model
Objavljeno v DKUM: 09.07.2024; Ogledov: 103; Prenosov: 18
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