2018 beslutade Sveriges regering att införa en reduktionsplikt som ämnar att reducera växthusgasutsläpp inom transportsektorn och därmed öka användningen av biodrivmedel. Bränsleleverantörer i Sverige har genom reduktionsplikten en skyldighet att blanda in förnyelsebart drivmedel i fossila bränslen. För diesel ska motsvarande 20 procent växthusgaser reduceras med hjälp av inblandning av biobränsle fram till 2020 och från 2021 och framåt ska 21 procent växthusgasemissioner reduceras varje år. Målet om en fossilfri fordonsflotta 2030 förväntas därför uppnås successivt år för år genom detta initiativ. Problematiken är dock att det idag inte finns tillräckliga mängder av biodiesel för att kunna ersätta fossilt diesel till den nivå som plikten ställer krav på. Det krävs därför forskning, innovationer och investeringar för att kunna möjliggöra en expandering av biodieselproduktionen så att behovet av biodrivmedel kan mötas. Syftet med denna rapport är att undersöka vilket biodiesel som är mest optimalt för inblandning i diesel utifrån tillgång, kostnad och miljöpåverkan. Målet är en fossilfri och miljömässigt hållbar transportsektor och för att undersöka vilket biodiesel som presterar bäst har en litteraturstudie genomförts på drivmedlen HVO (hydrerad vegetabilisk olja), FAME (fettsyrametylester) i form av RME (rapsmetylester) och FT-diesel (Fischer Tropsch-diesel) i form av BTL (biogas i flytande form). Sedan har en multikriterieanalys (MKA) följt av en känslighetsanalys implementerats för att jämföra de tre alternativen mot varandra på ett flertal, av författarna utvalda, kriterier. Resultatet visade att HVO genererade högst medelvärde vilket antas vara det mest optimala. I känslighetsanalysen som genomfördes för att testa resultatets osäkerheter och sensitivitet mot hypotetiska förändringar, presterade HVO och FT-diesel bäst. RME presterade sämst i multikriterieanalysen och känslighetsanalysen, vilket innebär att den inte lämpar sig för att användas i större grad än det görs idag. Den kritik som riktar sig mot verktyget MKA innefattar oftast att resultatet innehar en viss typ av subjektivitet sådant att poängen som tilldelas påverkas av författarnas kunskaper och erfarenheter. En av anledningarna till att känslighetsanalys genomförs är för att försöka eliminera denna osäkerhet. De parametrar som har störst inverkan på resultatet och som författarna anser ha mest påverkan på den framtida utvecklingen är tillgången på råvaror, produktionskostnaden samt hur mycket som produceras av varje drivmedel årligen. Slutsatsen är att HVO är mest optimalt för inblandning i diesel idag, men står inför utmaningen att finna alternativa råvaror då restprodukter som HVO produceras av finns i begränsad mängd. BTL skulle vara en stark kandidat om det gjordes investeringar så att det skulle bli tillgängligt på den kommersiella marknaden. RME har många brister och lämpar sig inte för expandering, ett beslut som EU redan tagit och som denna rapport styrker. / In 2018, the Swedish government decided to impose an obligation of reduction that aims to reduce greenhouse gas emissions in the transportation sector and thereby increase the use of biofuels in our society. Fuel suppliers in Sweden have through this obligation of reduction a responsibility to mix renewable fuels into fossil fuels. For diesel an equivalent of 20 percent of greenhouse gases must be reduced by mixing in biofuel until 2020 and from 2021 onwards, 21 percent greenhouse gases will be reduced each year. The goal of a fossil-free transportation sector in year 2030 is therefore expected to be achieved successively year by year through this initiative. The problem, however, is that there are not an enough amount of biodiesel today to be able to replace fossil diesel to the level required by the obligation. Therefore research, innovations and investments are required to enable the expansion of the biodiesel production so that the need for biofuels can be met. The purpose of this report is to investigate which biodiesel is the most optimal for mixing in to diesel based on supply, cost and environmental impact. The goal is a fossil-free and environmentally sustainable transport sector and to perform this investigation of which biodiesel performs the best, a literature study has been conductedon the fuels HVO (hydrogenated vegetable oil), FAME (fatty acid methyl ester) in the form of RME(rapeseed methyl ester) and FT-diesel (Fischer Tropsch diesel) in the form of BTL (biogas to liquid).Then, a multi-criteria analysis (MCA) followed by a sensitivity analysis has been implemented to compare the three alternatives against each other in a number of criteria selected by the authors of this report. The result showed that the fuel HVO generated the highest average value from the MCA, which is as sumed to be the most optimal. In the sensitivity analysis conducted to test the results uncertainties and sensitivity to hypothetical changes in the future, HVO and FT diesel performed best. RME performed poor in the multi-criterion analysis and the sensitivity analysis, which means that it is not suitable for use to a greater extent than it is today. The criticism that is directed at the tool MCA usually involves the result having a certain type of subjectivity such that the points awarded are influenced by the authors' knowledge and experiences. One of the reasons why sensitivity analysis is carried out is to try to eliminate this uncertainty that the subjectivity brings. The parameters that have the greatest impact on the result and which the authors consider to have the greatest impact on the future development are the availability of raw materials, the production cost and how much is produced by each fuel annually. The conclusion is that HVO is most optimal for mixing in in dieseltoday, but is faced with the challenge of finding alternative raw materials since decay products that HVO are produced from occur in a limited amount. BTL would be a strong candidate to being the most optimal for blending in if investments were made so that it would be available on the commercial market. RME has many short comings and is not suitable for expansion, a decision that the EU has already taken and which this report validate.

The thesis consists of theoretical and practical part. In the theoretical part important terms like marketing mix, marketing communications, target group and marketing goals are explained. There are also described the individual marketing tools of the marketing mix, which are divided into ATL and BTL marketing tools. The whole thesis is focused on BTL marketing activities like sales promotion, direct marketing and new media. The practical part includes the case study about BTL activities of the company Coca-Cola HBC Česká republika. There is a detailed description of the currently released communication campaign of the new flawoured water Bonaqua. The objektive of the thesis is to point out that BTL activities are more effective when trying to influence the customer and to demonstrate the increasing significance of BTL marketing activities.

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This thesis consists of two main parts - theoretical part and practical part. Marketing mix, development of marketing communications, communication campaign and individual tools of communication mix with focus on BTL marketing communications (Sales Promotion, Direct Marketing and New Media) and their importance for brand building are described within the theoretical part. The practical part includes the analysis of BTL online communication campaign for New Fiesta made by Ford Motor Company. The objective of this thesis is to demonstrate the increasing significance of BTL communications for effective targeting and brand building.

Магистерская диссертация выполнена на 88 страницах, содержит 13 таблиц, 31 рисунков, 51 использованных источников. Актуальность работы заключается в разрешении противоречия между необходимостью вести эффективный автоматизированный контроль и учет деятельности на предприятии и отсутствием автоматизированных средств контроля и учета данной деятельности в рамках информационных систем управления персоналом на предприятии. В результате магистерского исследования решены ряд задач: рассмотрены существующие системы для автоматизации предприятия, а также проведен анализ их возможностей, спроектирован и разработан модуль ведения системы на базе 1С: Предприятие, проведено внедрение программного продукта. Практическая значимость данного исследования состоит в применении результатов магистерской диссертации на предприятии, перед руководством которой стоит задача по частичному переходу с бумажного документооборота на электронный, а также в оптимизации бизнес процессов компании, разработанные конкретно под данную компанию модуль информационной системы, могут послужить толчком к дальнейшим действиям и реализации. Эффективность проекта подтверждена расчетами таких показателей, как коэффициент эффективности проекта, период окупаемости, дисконтированный период окупаемости, чистый дисконтированный доход, внутренняя норма доходности и индекс прибыльности, что свидетельствует о жизнеспособности проекта и возможности получении компанией не только материальных выгод, но и улучшения бизнес-процессов предприятия в целом. / The master thesis was made on 88 pages, contains 13 tables, 31 figures, 51 used sources. The relevance of the work lies in resolving the contradiction between the need to conduct effective automated control and accounting of activities in the enterprise and the lack of automated controls and records of this activity within the information systems of personnel management in the enterprise. As a result of the master’s research, a number of tasks were solved: existing systems for enterprise automation were reviewed, their capabilities were analyzed, a module for maintaining the system based on 1C: Enterprise was designed and developed, and a software product was introduced. The practical significance of this study is to apply the results of the master’s thesis at the enterprise, whose management is faced with the task of partially switching from paper to electronic, as well as optimizing the company's business processes, developed specifically for this company’s information system module, can trigger further actions and implementation. The effectiveness of the project is confirmed by calculations of such indicators as the project efficiency ratio, payback period, discounted payback period, net present value, internal rate of return and profitability index, which testifies to the viability of the project and the possibility of the company obtaining not only material benefits, but also improving business processes enterprises in general.

The topic of the thesis deals with BTL marketing communication and its importance for brand building. The aim is to analyze tools of BTL marketing communication on the Czech market and identify the most effective tools that can be used to build brand in the FMCG environment. The thesis should provide more details about below the line communication and its increase use market positioning. Also identify appropriate tool for building brand image, quality and raising customer awareness. Research, expert interviews and case studies were used to prove the objective of this thesis.

The objectives of this thesis is an overview of the available aviation fuel and possible alternatives. Evaluation of the applicability of alternative fuels in aviation. Furthermore, to assess the overall readiness of each technology across the aviation, from general aviation through public air transportation to transport helicopters. Evaluate the economic situation in each sector and determine the best alternative fuel option.

Ranking a set of candidates or items from pair-wise comparisons is a fundamental problem that arises in many settings such as elections, recommendation systems, sports team rankings, document rankings and so on. Indeed it is well known in the psychology literature that when a large number of items are to be ranked, it is easier for humans to give pair-wise comparisons as opposed to complete rankings. The problem of ranking from pair-wise comparisons has been studied in multiple communities such as machine learning, operations research, linear algebra, statistics etc., and several algorithms (both classic and recent) have been proposed. However, it is not well under-stood under what conditions these different algorithms perform well. In this thesis, we aim to fill this fundamental gap, by elucidating precise conditions under which different algorithms perform well, as well as giving new algorithms that provably perform well under broader conditions. In particular, we consider a natural statistical model wherein for every pair of items (i; j), there is a probability Pij such that each time items i and j are compared, item j beats item i with probability Pij . Such models, which we summarize through a matrix containing all these pair-wise probabilities, have been used explicitly or implicitly in much previous work in the area; we refer to the resulting matrix as the pair-wise preference matrix, and elucidate clearly the crucial role it plays in determining the performance of various algorithms. In the first part of the thesis, we consider a natural generative model where all pairs of items can be sampled and where the underlying preferences are assumed to be acyclic. Under this setting, we elucidate the conditions on the pair-wise preference matrix under which popular algorithms such as matrix Borda, spectral ranking, least squares and maximum likelihood under a Bradley-Terry-Luce (BTL) model produce optimal rankings that minimize the pair-wise disagreement error. Specifically, we derive explicit sample complexity bounds for each of these algorithms to output an optimal ranking under interesting subclasses of the class of all acyclic pair-wise preference matrices. We show that none of these popular algorithms is guaranteed to produce optimal rankings for all acyclic preference matrices. We then pro-pose a novel support vector machine based rank aggregation algorithm that provably does so. In the second part of the thesis, we consider the setting where preferences may contain cycles. Here, finding a ranking that minimizes the pairwise disagreement error is in general NP-hard. However, even in the presence of cycles, one may wish to rank 'good' items ahead of the rest. We develop a framework for this setting using notions of winners based on tournament solution concepts from social choice theory. We first show that none of the existing algorithms are guaranteed to rank winners ahead of the rest for popular tournament solution based winners such as top cycle, Copeland set, Markov set etc. We propose three algorithms - matrix Copeland, unweighted Markov and parametric Markov - which provably rank winners at the top for these popular tournament solutions. In addition to ranking winners at the top, we show that the rankings output by the matrix Copeland and the parametric Markov algorithms also minimize the pair-wise disagreement error for certain classes of acyclic preference matrices. Finally, in the third part of the thesis, we consider the setting where the number of items to be ranked is large and it is impractical to obtain comparisons among all pairs. Here, one samples a small set of pairs uniformly at random and compares each pair a fixed number of times; in particular, the goal is to come up with good algorithms that sample comparisons among only O(nlog(n)) item pairs (where n is the number of items). Unlike existing results for such settings, where one either assumes a noisy permutation model (under which there is a true underlying ranking and the outcome of every comparison differs from the true ranking with some fixed probability) or assumes a BTL or Thurstone model, we develop a general algorithmic framework based on ideas from matrix completion, termed low-rank pair-wise ranking, which provably produces an good ranking by comparing only O(nlog(n)) pairs, O(log(n)) times each, not only for popular classes of models such as BTL and Thurstone, but also for much more general classes of models wherein a suitable transform of the pair-wise probabilities leads to a low-rank matrix; this subsumes the guarantees of many previous algorithms in this setting. Overall, our results help to understand at a fundamental level the statistical properties of various algorithms for the problem of ranking from pair-wise comparisons, and under various natural settings, lead to novel algorithms with improved statistical guarantees compared to existing algorithms for this problem.

This thesis deals with event marketing into integrated marketing communications. The main objective is to assess the effectiveness and appropriateness of selected methods in the selected company. The work is divided into theoretical and practical part. The first chapter describes the theoretical and the elements of marketing communication and clarifies the issue of event marketing. The theoretical knowledge applied in the Energy Media Publishing Ltd. and specifically its product - the magazine Do kabelky, his performance is part of the second chapter in the situational analysis. The third chapter is devoted to marketing research, which is processed in the form of primary research interviews with the event experts and target group publishing - magazine reader. Finally, in the fourth chapter, I propose that event marketing strategy, which will draft a specific event.

The subject of my diploma thesis CRM and its application in the company Znovín Znojmo Inc. is analysis of the temporary usage of CRM in the company among other things based on the survey, which results will be used to draft potential improvements. Thesis is divided into six chapter divided into practical and theoretical parts. The theoretical part of thesis describes the marketing and commercial communications, defined CRM as customer relationship management and analyze the economic environment focusing on the Czech wine market. In the practical part is introduced company Znovín Znojmo Inc., is applied SWOT analysis and described marketing communication of company. At the core is the introduction of CRM in the company Znovín Znojmo, survey through customers and then are designed recommendations for improvements.