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Interní dokumenty TUL Oceněné závěrečné práce Polygrafie TUL https://polygrafie.tul.cz/Vysokoškolské práce Výukové materiály Výzkumné a technické zprávy Časopisy
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UNIKNI TUL - Červenec / Srpen 2024
(2024-07-01) Řípová, Jana; Neumannová, Petra
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Socio-demographic factors’ influence on the energy-saving behaviour of residential consumers: Evidence from Romania
(2024-07-02) Stancu, Stelian; Hristea, Anca Maria; Kailani, Camelia; Bala, Denisa Elena; Pernici, Andreea
In the context of various attempts to regulate energy consumption and educate consumers in the spirit of sustainable behavior, this paper aims to identify the role of the main socio-demographic factors on the decision to adopt measures to reduce consumption and save energy. Many studies have approached similar topics, but correlating their conclusions, it can be deduced that psycho-socio-demographic factors interact differently from one country to another, depending on the economic and political context of the moment. From the fact that in the former communist countries, the severe political regime subjected the population to very restrictive living conditions, based on deprivations that led to the formation of a traditional saving behavior and, on the other hand, considering the new Sustainable Development Goals (SDGs) that shape the young generation in the spirit of sustainable society, the authors aimed to study the correlation between socio-demographic factors (age, gender, education, professional status, income) and consumption and energy saving behavior at residential level, in an ex-communist state, Romania. For this purpose, quantitative research was carried out based on the answers of 865 subjects to the questionnaire distributed at the Academy of Economic Studies in Bucharest and in the immediate environment to the members of the university community, using convenience sampling. Using descriptive statistical indicators and linear regression techniques, the intensity of correlation between selected variables was determined and the degree of differentiation of the purchasing and use behavior of green-label household appliances was analysed, as well as the population’s availability to adopt some energy-saving methods. Although the sample is not representative, the conclusions are that measures to reduce energy consumption must be voluntary and stratified, depending on the nature of social and demographic factors.
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Navigating the human element: Unveiling insights into workforce dynamics in supply chain automation through smart bibliometric analysis
(2024-07-02) Angielsky, Melanie; Copus, Lukas; Madzik, Peter; Falat, Lukas
This study aims to create a scientific map of supply chain automation research focusing on human resources management, which will be applicable in practice and widen the knowledge in theory. It introduces the scientific articles, subject areas and dominant research topics related to supply chain automation, focusing on human resources management. In this study, 509 publications retrieved from the Scopus database were analyzed by a novel methodological approach – a smart bibliometric literature review using Latent Dirichlet Allocation with Gibbs sampling. The study processes scientific articles with automated tools. It uses a novel machine-learning-based methodological approach to identify latent topics from many scientific articles. This approach creates the possibility of comprehensively capturing the areas of supply chain automation focusing on human resources management and offers a science map of this rapidly developing area. This kind of smart literature review based on a machine learning approach can process a large number of documents. Simultaneously, it can find topics that a standard bibliometric analysis would not show. The authors of the study identified six topics related to supply chain automation, focusing on human resources management, specifically (1) network design, (2) sustainable performance and practices, (3) efficient production, (4) technology-based innovations and changes, (5) management of business and operations, and (6) global company strategies. The study’s results offer key insights for decision-makers, illuminating essential themes related to automation integration in the supply chain and the vital role of human resources in this transformation. The limitations of this study are the qualitative level of results provided by the machine learning approach, which does not contain manual analysis of documents and the subjectivity of the expert process to set the appropriate number of topics.
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Factors influencing career sustainability in Saudi Arabian banks: A PLS-SEM analysis
(2024-07-02) Parveen, Musrrat; Alshehri, Amal Awadh Hadi
This research delves into the correlation between organizational career growth and its impact on career sustainability among employees in the Saudi Arabian banking sector. It also explores the mediating influence of task performance and organizational citizenship behavior. Utilizing self-reported online questionnaires, data was collected from employees in Jeddah and Riyadh, Saudi Arabia, working in both private and public banks. Approximately 255 surveys were gathered, and thorough scrutiny of the data was conducted to identify any instances of common bias, duplication, or missing values. Following this data cleaning process, a sample size of 200 was retained for subsequent analysis. The survey, conducted over a month from December 2022 to January 2023, targeted four key factors: organizational career growth (OCG), organizational citizenship behavior, task performance, and career sustainability. The study utilized partial least squares structural equation modeling (PLS-SEM) and path analysis, a combination that allows observed variables to represent latent variables while elucidating causal relationships between them. The findings showed that organizational career growth has a positive and significant influence on organizational citizenship behavior, task performance, and career sustainability. The SRMR value of 0.078 indicates a good fit between the observed data and the model; while the normed fit index (NFI) score of 0.957 shows that the model fits the data well. In addition, the study utilized the blindfolding technique to evaluate the model’s predictive validity. The results show that organizational career growth exerts a moderate effect on both task performance (Q2 = 0.218, Q2 = medium effect) and career sustainability (Q2 = 0.281, Q2 = medium effect) and has a limited impact on organizational citizenship behavior (Q2 = 0.136, Q2 = small effect). Expanded career opportunities within the organization led to better task performance and organizational citizenship behavior, indirectly boosting employees’ career sustainability in banking sector. Detailed managerial insights are also provided.
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The essence and barriers to the use of controlling in the practice of manufacturing enterprises
(2024-06-13) Potkany, Marek; Musa, Hussam; Schmidtova, Jarmila; Gejdos, Pavol; Grofcikova, Janka
The theory and examples from practice confirm that theuse of controlling in economic practice differs significantly in the context of understanding its essence. The ambiguity of the definition of controlling, two different thought concepts, the diversity of tools and approaches, but also other barriers prevent its use to a greater extent than this managerial approach would deserve. The current research is based on the understanding of the essence of controlling in German-speaking countries and is oriented towards a coordinated predictive management approach based on precise cost reports. The research question was aimed at identifying current use and barriers of controlling in manufacturing enterprises in relation to the understanding of its essence and impact of performance through a questionnaire survey and structured interviews with managers from 2021 to 2022. A population of 2,504 enterprises was addressed by means of stratified sampling. The chi-square goodness-of-fit test was used to test how well the characteristics of the research sample fit the final population. A total of 352 manufacturing enterprises formed the resulting sample representative – enterprise size and type of industry designated according to the European standard industry classification system. Methods of contingency analysis and interval estimates of the population proportion were used to test the stated hypotheses. The testing confirmed a dependence between the practical use of a broader scale of controlling tools and the performance of enterprises measured by the return on sales (ROS) indicator, as well as the difference in the perception of barriers to the implementation of controlling depending on the size of enterprises. Controlling with the assistance of software support of the management information system, with a detailed implementation process and precisely defined competencies of employees and controllable KPI, creates the potential to increase the complexity of management and performance of enterprises as well as the elimination of potential risks.