Data boxes and eGovernment have become a very important part of communication with the public administration recently. I dedicated my thesis to problem of data boxes in Czech Republic. I focused on period after 2011, because the period before I described in my bachelor thesis. The practical part consists of task of effective implementation data boxes to enterprise (small firm up to 20 employees). The important part of thesis is description of key processes associated with data boxes and evaluating their efficiency. The solution of practical task should serve as a guide for anyone who wants to implement data boxes into company. The procedure described in practical part of this diploma thesis helps companies in proper using of electronic documents.

The master's thesis "Evaluation of good and bad practices in the management process of a specific project" aims to analyse and evaluate the good and bad practice in the project of "Contract compliance" in the company SAP. The first part of the thesis is focused on theoretical and methodological basis of project management and its processes. The second part of the thesis characterises the company SAP and the selected project as well as analyses and evaluates good and bad practices. Furthermore, the findings are summarised in the Lessons Learned document and preventive measures for the identified bad practice are proposed. This creates a learning material for future project management in the company.

The aim of this thesis is to define the audit issues regarding IS/ICT sector, creating a summary of standards, frameworks and best practices in IS/ICT - usable for IS auditing and mutual mapping of selected standards to the chosen reference framwork of ICT and following related goal is to make a procedure for the mapping of IT processes on standards in the field of IS/ICT. The aim of this thesis is description and mapping of the most important methodologies, standards and best practices related to the management and audit of IS/ICT and following related goal is building a procedure that allows the company to assess readiness for the certification of any of the selected standards, implement an alternative methodology for IT management or audit IS/ICT. First, the notion of audit is defined and discussed, followed by the discussion of the issue of IT audit, together with the financial audit. This is followed by a description of the different methodologies and approaches, which I used in my work. The chapter continues the description of methodology section that describes the mapping results. The actual mapping is in a separate Excel file and is part of this thesis. In the next chapter there is a procedure for mapping of business processes to different methodologies and standards used for management and audit of IS / ICT, which was created by myself.

The diploma thesis is about the development of the concept of corporate social responsibility in Czech Republic and Russian Federation. It focuses on the companies' approach in different areas of corporate social responsibility. International standard ISO 26000 is used as framework for comparison. Empirical research "Corporate Social Responsibility. Public opinion" was done at the end of the thesis. Results of my research are compared with results of other studies carried out in Russia or Czech Republic for the last period.

The aim of the master's thesis "Making use of best practice and lessons learned while processing the standard project Flexi Office" is to streamline project management in the selected company by analysing the errors and positives from completed project and processing the standard project for Flexi Office. Theoretical and methodological part describes the project management aspects, methods of planning and project evaluation. The practical part describes the characteristics of the examined company, reference project Flexi Office, processing evaluation of the project under which were stated lessons learned and best practice for the project, and using which are suggested some ways to improve project management in the selected company.

Knowledge management is a major concern for organizations today, and in spite of investments in technology, knowledge transfer remains problematic. This study sought to determine whether a relationship exists among participant group demographics (experience), implementation of an integrated knowledge transfer system (best practices model), knowledge transfer barriers, and knowledge transfer project (Web-based training) outcome in a virtual organization. The participant organization was a network of individuals and groups who practice patient advocacy in the research and treatment of cancer. These advocates volunteer in various capacities and are not collocated nor do they report to any single organizational entity. Volunteer participants were randomly assigned to a treatment or control condition. The treatment participants received a training supplement based upon a best practices knowledge transfer model. All participants reviewed a Web-based communications training module scheduled for deployment by the participant organization. Upon completion of the training program, participants were instructed to practice specific techniques from the program. At the end of this period, participants completed an online survey that measured demographics, perceived barriers to the knowledge transfer, and project outcome. Knowledge transfer barriers were defined as knowledge, source, recipient, and organizational context characteristics that inhibit the expected transfer. Project outcome was a composite score of items measuring completion time, budget, and satisfaction of the user. Multiple regression identified two significant predictor variables, source (the training program and implementation) and experience (amount of time spent in advocacy practice). Additional analyses found knowledge (causal ambiguity and unproven knowledge) and the experimental treatment condition to show a strong relationship with the explained variance of the dependent variable, knowledge transfer project outcome. Results suggest that an online training implementation is a valid tool for certain specific transfer design characteristics. Experience was a negative predictor of outcome, suggesting that participant-specific level of training material may produce improved outcome. Furthermore, knowledge in the form of evidence that the material is useful as well as explanation of the cause and effect linkage is a factor in a more successful transfer. Finally, the application of a knowledge transfer system designed around organization-specific variables shows promise as a factor in enhanced knowledge transfer in Web-based training in virtual organizations. Further research is suggested to provide additional insight into the predictive value of these variables.

Este trabalho busca desvelar e sistematizar claramente os princípios straussianos de filosofia política clássica e, especificamente, os princípios straussiano-platônicos do melhor regime. Isto é, este trabalho busca desvelar o que Leo Strauss acredita ser o começo da filosofia política clássica, o que Leo Strauss acredita ser a “metodologia” clássica à filosofia política e, especificamente, as conclusões de Platão sobre o melhor regime. Os primeiros são princípios straussianos, porque advêm da interpretação de Leo Strauss sobre vários filósofos clássicos; os últimos são straussiano-platônicos, pois advêm de uma interpretação straussiana de Platão. Por fim, a análise de Leo Strauss sobre a crise da modernidade e sobre a historiografia da filosofia são apresentadas a fim de que possamos entender por que e como trilhar o caminho straussiano aos clássicos. / This work intends to state and arrange clearly the Straussian principles of classical political philosophy and, especially, the Straussian-Platonic principles of the best regime. That is, this work intends to state what Leo Strauss thought to be the beginnings of classical political philosophy, what Leo Strauss thought to be a classical “methodology” for political philosophy and, finally, Plato's conclusions about the best regime. The first two are Straussian principles because they ensued from Leo Strauss' interpretation of various classical political philosophers and the last ones are Straussian-Platonic because they ensued from a Straussian interpretation of Plato. That being said, Leo Strauss' analysis of the crisis of modernity and Leo Strauss' historiography of philosophy are presented as requirements for a better understanding of what consists the Straussian way back to the classics.

<p>У дисертацији посматрамо моделирање проблемског учења у настави географије засновано&nbsp;на групном раду уз могућност коришћења рачунара, интернета и богатијег скупа&nbsp;релевантних података. За поједине наставне јединицедати су модели проблемског учења.&nbsp;Испитивање ефикасности предложених модела обрађено је компаративном анализом&nbsp;резултата педагошког експеримента. На основу резултата финалног теста закључено је да&nbsp;посматрани модели позитивно утичу на побољшање &nbsp;успеха ученика у настави географије у&nbsp;основним и средњим школама.</p> / <p>U disertaciji posmatramo modeliranje problemskog učenja u nastavi geografije zasnovano&nbsp;na grupnom radu uz mogućnost korišćenja računara, interneta i bogatijeg skupa&nbsp;relevantnih podataka. Za pojedine nastavne jedinicedati su modeli problemskog učenja.&nbsp;Ispitivanje efikasnosti predloženih modela obrađeno je komparativnom analizom&nbsp;rezultata pedagoškog eksperimenta. Na osnovu rezultata finalnog testa zaključeno je da&nbsp;posmatrani modeli pozitivno utiču na poboljšanje &nbsp;uspeha učenika u nastavi geografije u&nbsp;osnovnim i srednjim školama.</p> / <p>In&nbsp; the dissertation,&nbsp; we&nbsp; look&nbsp; at&nbsp; modeling&nbsp; problem&nbsp; based&nbsp; learning in&nbsp; geography,&nbsp; based &nbsp;on group&nbsp;work&nbsp; with&nbsp; the&nbsp; ability&nbsp; to&nbsp; use&nbsp; computers,&nbsp; the&nbsp; internet&nbsp; and&nbsp; a&nbsp; richer&nbsp; set&nbsp; of&nbsp; relevant&nbsp; data.&nbsp; For&nbsp; each&nbsp;lesson are given learning models of problem. Effectiveness of the proposed models is discussed&nbsp;comparative&nbsp; analysis&nbsp; of&nbsp; pedagogical&nbsp; experiment.&nbsp; Based&nbsp; on&nbsp; the&nbsp; results&nbsp; of&nbsp; the&nbsp; final&nbsp; test&nbsp; is&nbsp;concluded&nbsp; that&nbsp; models&nbsp; the&nbsp; observed&nbsp; positive&nbsp; impact&nbsp; on&nbsp; improving&nbsp; student&nbsp; achievement&nbsp; in&nbsp; the&nbsp;teaching of geography in elementary and secondary schools.</p>

Recommendation Systems or Recommender Systems have become widely popular due to surge of information at present time and consumer centric environment. Researchers have looked into a wide range of recommendation systems leveraging a wide range of algorithms. This study investigates three popular recommendation systems in existence, Collaborative Filtering, Content-Based Filtering, and Hybrid recommendation system. The famous MovieLens dataset was utilized for the purpose of this study. The evaluation looked into both quantitative and qualitative aspects of the recommendation systems. We found that from both the perspectives, the hybrid recommendation system performs comparatively better than standalone Collaborative Filtering or Content-Based Filtering recommendation system

The selection of a best-subset regression model from a candidate family is a common problem that arises in many analyses. In best-subset model selection, we consider all possible subsets of regressor variables; thus, numerous candidate models may need to be fit and compared. One of the main challenges of best-subset selection arises from the size of the candidate model family: specifically, the probability of selecting an inappropriate model generally increases as the size of the family increases. For this reason, it is usually difficult to select an optimal model when best-subset selection is attempted based on a moderate to large number of regressor variables. Model selection criteria are often constructed to estimate discrepancy measures used to assess the disparity between each fitted candidate model and the generating model. The Akaike information criterion (AIC) and the corrected AIC (AICc) are designed to estimate the expected Kullback-Leibler (K-L) discrepancy. For best-subset selection, both AIC and AICc are negatively biased, and the use of either criterion will lead to overfitted models. To correct for this bias, we introduce a criterion AICi, which has a penalty term evaluated from Monte Carlo simulation. A multistage model selection procedure AICaps, which utilizes AICi, is proposed for best-subset selection. In the framework of linear regression models, the Gauss discrepancy is another frequently applied measure of proximity between a fitted candidate model and the generating model. Mallows' conceptual predictive statistic (Cp) and the modified Cp (MCp) are designed to estimate the expected Gauss discrepancy. For best-subset selection, Cp and MCp exhibit negative estimation bias. To correct for this bias, we propose a criterion CPSi that again employs a penalty term evaluated from Monte Carlo simulation. We further devise a multistage procedure, CPSaps, which selectively utilizes CPSi. In this thesis, we consider best-subset selection in two different modeling frameworks: linear models and generalized linear models. Extensive simulation studies are compiled to compare the selection behavior of our methods and other traditional model selection criteria. We also apply our methods to a model selection problem in a study of bipolar disorder.