Digitalization is one of the most promising tools for achieving the UN Sustainable Development Goals at the microeconomic level. The aim of the dissertation is to develop a methodology for assessing the impact of digitalization on the sustainable development of a company. The dissertation studies the features of sustainable development at the global, national and local levels, identifies the term «digitalization» and offers an author's vision of the problem, as well as provides a theoretical justification for the digitalization’s influence at sustainable development. The empirical base of the dissertation is the educational, methodical literature, economic and statistical studies, legal acts, international documents, official and corporate statistics. The methodology for assessing the impact of digitalization on the sustainable development of a company tested on the leading companies in the field of sustainable development in Russia. / Цифровизация является одним из наиболее перспективных инструментов достижения Целей устойчивого развития на микроуровне. Целью выпускной квалификационной работы является разработка методики оценки влияния цифровизации на устойчивое развитие компании. В работе изучены особенности устойчивого развития на глобальном, национальном и локальном уровнях, проведена идентификация понятия «цифровизация» и предложено авторское видение проблемы, а также проведено теоретическое обоснование наличия взаимосвязи между цифровизацией и устойчивым развитием. Эмпирической базой исследования выступили учебно-методическая и научно-исследовательская литература, экономико-статистические исследования, нормативно-правовые акты, международные документы, официальные статистические данные и данные корпоративной статистики. В выпускной квалификационной работе разработана методика оценки влияния цифровизации на устойчивое развитие компании и представлена ее апробация на примере компаний-лидеров в сфере устойчивого развития в России.

В условиях глобализации особую важность для успешного функционирования любого предприятия приобретает разработка новых перспективных стратегий обеспечения конкурентоспособности. Целю магистерской диссертации является развитие методических основ анализа конкурентоспособности предприятий пищевой промышленности. В качестве источников использовалась научно-исследовательская и методическая литература, статистические данные, отчетность организации. В магистерской диссертации был предложен методический подход к оценке уровня конкурентоспособности предприятия, занимающегося производством пищевых продуктов. Его применение позволяет получать интегральный показатель, оценивающий уровень конкурентоспособности. Практическая значимость проведенного исследования заключается в полученных в результате апробации разработанного методического подхода оценках уровня конкурентоспособности «АО «Ирбитский молочный завод». / In the context of globalization, the development of new promising strategies to ensure competitiveness is of particular importance for the successful functioning of any enterprise. The aim of the master's thesis is to develop the methodological foundations of the analysis of the competitiveness of food industry enterprises. The sources used were scientific research and methodological literature, statistical data, reporting of the organization. In the master's thesis, a methodological approach to assessing the level of competitiveness of enterprises engaged in the production of food products was proposed, based on the formation of an integral indicator. The practical significance of the study lies in the assessments of the level of competitiveness of JSC Irbit Dairy Plant obtained as a result of approbation of the developed methodological approach.

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Food allergies are an increasing health concern in the United States, affecting nearly 6 million children under the age of 18 years. Research has suggested that 18% of school-age children will have their first allergic reactions at school. Life-threatening allergic reactions experienced by children in the school setting are on the rise; however, little is known about how schools implement policies and practices in response to this issue. The purpose of this quantitative cross-sectional study was to narrow the knowledge gap by examining teachers' knowledge, ability, and confidence level caring for students with food allergies. Bandura's social cognitive theory, which holds that education and experience influence confidence implementing tasks, served as the framework that guided this research. The electronic survey was distributed to a convenience sample of 300 elementary school teachers; 93 respondents completed it. Eighty completed surveys were used in the analysis. Multiple linear regression models were constructed to analyze the relationships among confidence, education, and training related to food allergies. Results showed that teachers who lacked knowledge of food allergies also lacked confidence implementing food allergy plans. School personnel responsible for planning or revising food allergy response protocols can use these findings. The potential for positive social change includes identifying training opportunities, developing policies to sustain food allergy knowledge, and building the capacity of all school staff to implement life-saving measures when children are experiencing allergic reactions.

Proposta – Este trabalho tem por objetivo avaliar a influência das melhores práticas de gestão na performance da qualidade da informação em projetos de Tecnologia da Informação (TI), em condições de restrições. O estudo foi baseado na experiência brasileira. Metodologia – A pesquisa tem lastro em um modelo conceitual, composto por variáveis independentes, variáveis moderadoras e variáveis dependentes, sendo estas as melhores práticas de gestão de projetos, critérios de avaliação da qualidade da informação e performance da qualidade da informação. Para verificar o modelo conceitual, em um primeiro momento a pesquisa foi elaborada à luz da literatura especializada. Esta fase está estruturada em três etapas: 1 – Fundamentos da gestão de projetos de TI; 2 – Levantamento das melhores práticas em gestão de projetos; 3 – Identificação dos critérios de avaliação da qualidade da informação e perspectivas da performance da qualidade da informação. Em um segundo momento, foi realizado o agrupamento das melhores práticas de gestão de projetos identificadas na etapa 2, utilizando para isso a técnica estatística análise de cluster. Em seguida, realizou-se uma consulta junto a especialistas para confirmar as variáveis do modelo conceitual, bem como apresentar os principais efeitos (influências) das melhores práticas na performance da qualidade da informação, condicionadas às variáveis moderadoras, ou seja, aos critérios de avaliação da qualidade da informação. Foram selecionados, por meio de critérios técnicos e científicos, especialistas com conhecimento e experiência sobre o objeto investigado. Desta forma, foram selecionados 303 especialistas com formações em diversas Áreas do Conhecimento (Tecnologia da Informação; Sistemas de Informação, Qualidade da Informação, Administração, entre outras), porém estas, com foco em Tecnologia da Informação. O estudo foi baseado na experiência brasileira em projetos de TI. Os dados foram coletados por meio de um questionário do tipo escalar (Likert) de 1 (menor intensidade) a 5 (maior intensidade), com algumas perguntas abertas. E para reduzir a subjetividade nos resultados alcançados foram aplicadas técnicas estatísticas como o teste de Duncan, para comparação das médias, e a correlação de Spearman, para análise da influência investigada. Limitações da pesquisa – O estudo está direcionado à experiência brasileira, desse modo, recomendam-se aplicações do estudo em outros países. Originalidade/valor – Este estudo parte de um gap nos recortes teóricos sobre influência das melhores práticas na performance da qualidade da informação em projetos de TI, sobretudo em condições de restrições. Implicações para a prática da gestão – Espera-se que este estudo possa apoiar gestores em seus processos de decisão em projetos de TI em contextos dinâmicos e contingenciais. Acredita-se ainda que este represente incremento de valor aos negócios de empreendimentos. / Proposal – This study aims to assess the influence of best management practices in information quality performance in projects of Information Technology (IT) in restrictions conditions. The study was based on the brazilian experience. Methodology – The survey is backed by a conceptual model, composed of independent variables, moderating variables and dependent variables, which are the best project management practices, criteria for evaluating the quality of information and performance of information quality. To check the conceptual model, at first moment, the search was made in light of the literature. This phase is structured in three stages: 1 - Fundamentals of management of IT projects; 2 - Survey of best practices in project management; 3 - Identification of criteria for evaluating the quality of information and perspectives of information quality performance. In a second step, it was carried out by the group of the best project management practices identified in stage 2, using the statistical method of cluster analysis. Then, a consultation was held with experts to confirm the variables of the conceptual model, as well as presenting the main effects (influences) of best practices in information quality performance, conditioned to moderating variables, namely the criteria for assessing the quality of information. They were selected through technical and scientific criteria, experts with knowledge and experience of the investigated object. Thus, initially they were selected 303 experts with diverse backgrounds Knowledge Areas (Information Technology, Information Systems, Quality of Information, Administration), among others, but these, focusing on Information Technology. The study was based on the brazilian experience in IT projects. Data were collected through a questionnaire of scalar type (Likert) from 1 (lowest intensity) to 5 (highest intensity), with some open questions. And to reduce the subjectivity of the results achieved were applied statistical methods such as the Duncan test, to compare the means, and the Spearman correlation for analysis the influence investigated. Search limitations – The study is aimed at the brazilian experience, therefore, it is recommended applications of the study in other countries. Originality / value – This study stems from a gap in the theoretical clippings about influence best practice in information quality performance in IT projects, particularly in restrictions conditions. Implications for practice management – It is expected that this study will support managers in their decision-making processes in IT projects in dynamic and contingent contexts. It is believed that this represents an increase of value to business ventures.

In a globalized world, teaching English as a second language (ESL) or English as a foreign language (EFL) requires mastery of intercultural communicative competence (ICC). Deploying ICC has many benefits, especially with teaching and learning English, because it is a preeminent necessity for intercultural communication today. In ESL and EFL contexts at college and university levels, learners and instructors interface with other learners and instructors who have various languages and cultures, so there is a need for implementing ICC, because it encourages instructors and learners to communicate effectively with others using both their native and target languages, as well as their native and target cultures. Hence, there is a need for ICC, mediational tools, such as translanguaging pedagogy, as well as use of a peer-coaching process. Also, there is a need to evaluate ICC use through various kinds of assessment, such as self-assessment (which includes self-reflection), identity assessment, formative assessment, and summative assessment. In order to find the validity of various aspects of ICC, the mediational tools, the peer-coaching process, various kinds of assessment, and self-reflection, the researcher used a mixed-method study that contained quantitative and qualitative data. The study was conducted over the summer of 2016, and the participants were graduate students in the Teaching English to Speakers of Other Languages (TESOL) program at California State University, San Bernardino (CSUSB). This thesis validates aspects of ICC, mediational tools, and assessments, as well as the importance of self-reflection in evaluating and improving individuals’ ICC.

隨著國人持信用卡消費購物方式的蔚為風氣，致使發卡機構每日所需處理 的申請案件激增；同時，由於信用卡業務的日趨多元化，更增添了審核的 複雜度。傳統以人為判斷為主的審核方法，在有限的人力之下，勢將難以 因應如此龐大的審核需求，而在時間緊迫、經驗累積不足的情形下，難免 會危及授信品質，而增加了此項授信業務的風險。有鑑於此，本研究希望 能藉由範例學習法建立一信用卡信用風險審核模式，期能有效輔助信用卡 發卡審核作業，以降低授信風險，並提昇發卡機構的經營績效。本研究以 某發卡機構為研究對象。抽取個案機構81全年度，審核通過的資料作為研 究樣本。其中以截至82年度3月止，被強制停卡者之不良卡戶，計2,788筆 ；而仍繼續流通的正常卡戶，計有97,001筆，總計99,789筆，作為系統學 習及測試所需之資料。本研究首先針對信用卡審核問題的特性，探討範例 學習法的處理策略，我們將計質線索以相對風險的觀念轉換為順序尺度， 並使所建構的二元樹之葉節點（判斷法則）精簡了二分之一左右，和原分 類樹預測能力並無顯著差異。其次，我們進一步運用修剪策略，可將原判 斷法則數由230條減至26條，大幅的提升了執行效率；修剪策略的運用， 雖然降低了區別率，但卻將預測能力（命中率）由67.1%提升至72.58%。 亦即研究結果顯示，避免分類過細，有助於系統預測能力的提升。本研究 範例學習審核模式之預測能力達72.58%，較 Logistic Re- gression 審 核模式高出約6.49%。在重要性線索的選取上，二者具有相當的一致性； 研究結果顯示，原持有一般卡張數、金卡張數、教育程度、公司等級、職 級等為區別力較佳的信用要素。其中區別能力最強的因素為原一般卡持有 張數，張數愈多，信用風險愈高，而此因素為原審核模式所疏漏者，值得 授信人員警惕。此外，我們再將成本效益因素加入分類樹判斷法則，透過 此方式可調整授信的門檻，以增加發卡機構所能獲取的利潤。進一步考量 申請者的信用風險與所得，建立一信用額度核定的方式。研究結果顯示， 以此一模式授與信用額度較原機構之授與方式,高出約一仟二佰萬元淨收 益。此乃由於本模式能有效辨識出不良客戶（命中率為 80.58%），因而 大幅地降低了呆帳的損失。最後，我們綜合本研究的心得，提出一些未來 研究課題，期能使最適分類樹的產生更具效率，並且擴大研究的範圍，希 望能將信用卡範例學習系統推展至各發卡機構，並應用於信用管理的各層 面，以有效提昇信用卡經營效益。

Maps are important for both human and robot navigation. Given a route, drivingassistance systems consult maps to guide human drivers to their destinations. Similarly, topological maps of a road network provide a robotic vehicle with information about where it can drive and what driving behaviors it should use. By providing the necessary information about the driving environment, maps simplify both manual and autonomous driving. The majority of existing cartographic databases are built, using manual surveys and operator interactions, to primarily assist human navigation. Hence, the resolution of existing maps is insufficient for use in robotics applications. Also, the coverage of these maps fails to extend to places where robotics applications require detailed geometric information. To augment the resolution and coverage of existing maps, this thesis investigates computer vision algorithms to automatically build lane-level detailed maps of highways and parking lots by analyzing publicly available cartographic resources, such as orthoimagery. Our map-building methods recognize image patterns and objects that are tightly coupled with the structure of the underlying road network by 1) identifying, without human intervention, locally consistent image cues and 2) linking them based on the obtained local evidence and prior information about roadways. We demonstrate the accuracy of our bootstrapping approach in building lane-level detailed roadwaymaps through experiments. Due to expected abnormal events on highways such as roadwork, the geometry and traffic rules of highways that appear on maps can occasionally change. This thesis also addresses the problem of updating the resulting maps with temporary changes by analyzing perspective imagery acquired from a vision sensor installed on a vehicle. To robustly recognize highway work zones, our sign recognizer focuses on handling variations of signs’ colors and shapes. Sign recognition errors, which are inevitable, can cause our system to misread temporary highway changes. To handle potential errors, our method utilizes the temporal redundancy of sign occurrences and their corresponding classification decisions. We demonstrate the effectiveness and robustness of our approach highway workzone recognition through testing with video data recorded under various weather conditions. Two major results of this thesis work are 1) algorithms that analyze orthoimages to produce lane-level detailed maps of highways and parking lots and 2) on-vehicle computer vision algorithms that are able to recognize temporary changes on highways. Our maps can provide detailed information about a route, in advance, to either a human driver or a self-driving vehicle. While driving on highways, our roadway-assessing algorithms enable the vehicle to update the resulting maps with temporary changes to the route.

The aim of this thesis is to proces a digest about a status of real estate market in the region of Strakonicko. While proceeding the given topic I first made a literary background research, which is above all engaged in the explanation of basic terminology connected with the real estate market and also in the theoretical description of individual segments of the market. Furthermore, I prescribed a methodology, which I later acted upon during a creation of my own thesis. In the practical part of the thesis I first of all created a detailed characteristics of the researched area and identified characterisctics of a full area. I focused especially on unemployment, job opportunities, population, infrastructure and other elements which can influence the prices of real estates. I divided the researched area into three parts according to the biggest towns in the region. In each of these I observed the prices of real estates in the individual segments. Concretely what is discussed here is the market with flats, detached houses, building ground and commercial real estates. I stated qualitative, build-technical, urbanistic and economic characteristics of agents for individual segments. Afterwards I numerically represented a price range of individual groups of real estates and analysed a real estate market.

This diploma thesis deal with the concept of appropriate forms of financing the purchase of equipment to start mass production of robots for automated manufacturing processes in ABB Ltd. Among the possible option of financing equipment purchases is through its own resources in combination with ABB Group resources, leasing option or bank loan with following grant from operational program OPEI. As a conclusion will be recommendation the best form of financing the planned project.