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Enterprise Management in Industry 4.0 and Human Resource Development
ČERMÁKOVÁ, Julie
Based on the research, the aim of the dissertation is to identify the key competencies in the conditions of Industry 4.0 and to propose tools for human resources development in order to evaluate their implementation in terms of ensuring the required development of employees. In the quantitative part, based on a questionnaire survey, the statistical research revealed in the number of ANOVA tests and after adjusting their p-values by Bonferroni correction, the competencies of leadership and lifelong learning as statistically significant key competencies of professionals for Industry 4.0. This statistical result is supported by the case studies included in the qualitative part of the dissertation. The case studies capture the professional development of five managers who hold Industry 4.0 core competencies. From the qualitative research in the form of coaching interviews, the thesis shows the professional development of the experts by an average of two levels for each competency separately on the ten-point scale based on the primary questionnaire survey based on the experts' self-evaluation. The coaching method was confirmed in the case studies as the most effective method of competence development for Industry 4.0 compared to leadership and mentoring. The use of 360-degree feedback confirms the results reached by the author in the case studies. The methods for developing human resources in key positions in Industry 4.0 conditions have been effectively captured and the objectives have been met.
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Dual diagnosis from a social work perspective
Čermáková, Judita ; Angelovská, Olga (advisor) ; Janečková, Hana (referee)
The goal of this bachelor thesis named Dual diagnosis from the standpoint of social work is to shed light on what role a social worker has in the process of a patient's recovery and social rehabilitation from dual diagnosis. In addition to that, this thesis should clarify the position of a social worker in a multidisciplinary team and to describe dual diagnosis as a complex problem from the biopsychosocial standpoint. Both primary and secondary literature (printed and in the form of internet resources) were used as the theoretical framework of this thesis. The theoretical framework should primarily act as a guide to help better understand the phenomenon that is dual diagnosis in the context of social work. Qualitative interviews and case studies were then used as the practical framework for this bachelor thesis. The group of respondents is made up mainly by social workers, psychiatrists, adiktologists, and psychologists that work in the respective field. Keywords Social work, dual diagnosis, psychiatric comorbidity, addiction, mental health, multidisciplinary team.
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The Ecochemistry Games
Čermáková, Jana ; Holada, Karel (advisor) ; Pumpr, Václav (referee)
Diploma work deals with the opportunities of using the games at teaching of ecochemistry at the primary school. The method of game is described generally in the work including the system of curriculum documents. The compiled summary of the education games with the ecochemistry themes is introduced in the experimental part of the work. Effectiveness the games has been verified by practised investigation and its results ratified hypothesis that by means of games we can achieve more affictive and longer results with ecochemistry teaching. This summary can be used by teachers as the inspiration for not only chemistry lessons activities. Key words: environmental education, teaching of chemistry and ecochemistry, didactic games, curriculum documents, cross-sectional themes, key competency
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The image of lifestyle in magazine Vlasta between 1990 and 1999
Čermáková, Jana ; Köpplová, Barbara (advisor) ; Cebe, Jan (referee)
This diploma thesis "The Image of Lifestyle in Magazine Vlasta between 1990 and 1999" is focusing on media image of lifestyle in the nineties in Czechoslovakia, later Czech republic. The subjects which were investigated in terms of a lifestyle were: housing, fashion, health, eating, weight loss, sport, traveling, new technologies, consumer goods and beauty. The thesis is divided into two parts - theoretical and empirical part. In the theoretical part there is a political, historical, cultural and media environment in nineties. Empirical part describes a history and editorial staff of the magazine Vlasta. A content analysis was chosen for examining the magazine and it is described in methodological part. The goal of a quantitative and qualitative analysis is to prove stated hypotheses. The nineties meant for Czech people a lot of social changes and also everyday life was affected. The transformation involved habits and interests of people which can be observed during the decade. This diploma thesis is focusing on changes in lifestyle because of commercialism. Observes how much more people were interested in traveling considering new possibilities and aims also on health lifestyle.
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The future of credit scoring modelling using advanced techniques
Čermáková, Jolana ; Krištoufek, Ladislav (advisor) ; Geršl, Adam (referee)
Machine learning is becoming a part of everyday life and has an indisputable impact across large array of industries. In the financial industry, this impact lies particularly in predictive modelling. The goal of this thesis is to describe the basic principles of artificial intelligence and its subset, machine learning. The most widely used machine learning techniques are outlined both in a theoretical and a practical way. As a result, four models were assembled within the thesis. Results and limitations of each model were discussed and these models were also mutually compared based on their individual per- formance. The evaluation was executed on a real world dataset, provided by Home Credit company. Final performance of machine learning methods, measured by the KS and GINI metrics, was either very comparable or even worse than the performance of a traditional logistic regression. Still, the problem may lie in an insu cient dataset, in the improper data prepara- tion, or in inappropriately used algorithms, not necessarily in the models themselves.
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Credit Risk of P2P Lending on the Czech Market
Čermáková, Jolana ; Dědek, Oldřich (advisor) ; Čech, František (referee)
This thesis analyzes an emerging peer-to-peer lending industry, while intro- ducing its main features and risks, where the risk of default and its moder- ation gets the most attention. Uniquely provided data from the front Czech platform Zonky containing nearly 6 000 observations serve as a baseline for credit risk modeling. It has been investigated which variables have the largest effect on default on the Czech P2P market. The final model is used to predict the associated probability of default and to compute the credit score for potential borrowers using these online platforms. Results support the fact that education, age, way of living, expenses, marital and employment status, income and the number of children are significant variables when determining the risk of default. Many of these findings are in accordance with previous international papers published on this topic.
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