The diploma thesis deals with the comparison of regional differences in long-term plans of education development in these regions. The theoretical part begins with the definition of key terms related to education policy, then with the legislative framework for the creation of long-term plans and links these documents to national and European strategic documents in education. In the research part are analyzed both documents, their logical interconnection and relation to national strategic documents and outputs of each part. The main part is focused on the comparison of both documents and their influence on the development of education in the given region. The conclusion of the thesis summarizes the form, outputs and differences of both documents both in relation to national strategic documents in education. There are used methods of quantitative and qualitative content analysis, theoretical-empirical method, document analysis. KEYWORDS educational policy, strategic documents in education, comparison, South Moravian Region, Moravian-Silesian Region, long-term intention, qualitative and quantitative research, content analysis

Detta examensarbete har utförts på uppdrag av Posten Scanning AB, ett helägt dotterbolag till Postnord-koncernen, tillsammans med sina systerbolag, Data Scanning A/S i Danmark och Data Scanning Finland AB. Företaget arbetar med scanning, datafångst och dokumenthanteringstjänster. Posten Scanning använde sedan 2013 av ett kundärendehanteringssystem, Customer Information System (CIS), för all hantering av ärenden som berör kunder och/eller intern utveckling. Efter ca 1,5 år som företaget har använt sig av CIS 1.0 önskas nu ett underlag för planering av version 2.0 av CIS. För att kunna planera för CIS 2.0 behövde uppdragsgivaren att undersöka, sammanställa och prioritera de nya krav som olika intressenter ställer på systemet. Utvärderingen har fokuserat på de interna och externa kundernas krav och kända förändringsbehov. Målet var att utifrån utvärderingsresultatet ta fram ett beslutsunderlag i form av en sammanställd, prioriterad och tidsestimerad kravspecifikation som även kan utgöra ett underlag för ett utvecklingsprojekt. Den relativa betydelsen av behoven avgjordes med hjälp av metoden om översättning av kundernas behov till verkställande kravspecifikationer som grundade specifikationen för förändringsarbetet. Resultatet av arbetet visade att kundärendehanteringssystemets kravlistor kunde prioriteras baserad på vad CIS användes mest till och samt efter hur ofta förändringar upprepades av olika användargrupper. / This thesis has been carried out on behalf of Posten Scanning AB, a wholly owned subsidiary of PostNord Group, together with its sister companies, Data Scanning A/S in Denmark and Data Scanning Finland AB. The company works with scanning, data capture and document management services. Posten Scanning has been since 2013 using a client case management system, Customer Information System (CIS) for handling all matters pertaining to customers and/or internal development from 2013. After about 1.5 years that the company has used the CIS 1.0, they wish to develop a gathered basis for planning the version 2.0 of the CIS. In order to plan for the CIS 2.0, they wanted to investigate, compile and prioritize the new requirements imposed by various stakeholders in the system. The evaluation has focused on internal and external customer requirements regarding usage of CIS and known need for changes in the system. The goal has been based on evaluation findings to develop a decision support in the form of a compiled, prioritized and time estimated requirements specification that can also serve as a basis for a development project. The relative importance of the needs was determined using the method of translation of customer needs for managing requirements document based specification for change. The results of this project showed that customer case management system requirements lists could be prioritized based on what CIS were mostly used to and how often changes were repeated by various user groups.

This thesis aims to examine how the domain Assyriology can be analyzed with bibliometrics. It uses the domain analytic perspective by Birger Hjørland and Hanne Albrechtsen. The metadata was collected through the Web of Science and the dataset covers the years 2016-2020 from the journals Akkadica, Journal of Near Eastern Studies, Ancient Near Eastern studies, Journal of Ancient Near Eastern Religions and Zeitschrift für Assyriologie und Vorderasiatische Archäologie. The domain was studied by analyzing citations, the documents, languages, place of publication, the age of references and the authors by visualizing patterns in figures and tables. Co-authorship analysis was used to display collaboration between countries. The content was analyzed with co-citation analysis of references and co-word analysis of title words to visualize the knowledge structures within the domain. The study found that Co-word analysis did give a general idea of different knowledge patterns but there were few clear structures. The co-citation analysis was found to reveal more clear structures though the references had a low citation rate and so might not be representative of the whole domain. It was found to be effective to use tables and figures to visualize certain aspects and patterns within the domain. In conclusion, bibliometrics was found to be effective to gain knowledge about the domain Assyriology. This is a two years master's thesis in Library and Information Science. / Den här uppsatsen ämnar att analysera hur domänen assyriologi kan analyseras med hjälp av bibliometri. Uppsatsen använder ett domänanalytiskt perspektiv av Birger Hjørland and Hanne Albrechtsen. Metadatan har samlats in från Web of Science och datasetet består material från tidsperioden 2016-2020 från tidskrifterna AkkAncient Near Eastern studies, adica, Journal of Near Eastern Studies, Journal of Ancient Near Eastern Religions and Zeitschrift für Assyriologie und Vorderasiatische Archäologie. Domänen studerades genom att analysera citeringar, materialet, språken, vart materialet publicerades, åldern på referenserna och författarna genom att visualisera mönster i figurer och tabeller. Forskningssamarbeten analyserades för att visa samarbeten mellan länder. Innehållet analyserades med en cociteringsanalys av referenser och en cowordanalys av titelord för att visualisera kognitiva strukturer inom domänen. Studien fann att cowordanalys gav en generell bild av olika kongnitiva strukturer men det fanns få tydliga strukturer. Cociteringsanalysen hittade fler tydliga strukturer men referenserna hade få citeringar och det är därmed möjligt att det inte representerar hela domänen. Det var effektivt att använda sig av tabeller och figurer för att visualisera olika aspekter inom domänen. Sammansfattningsvis, bibliometri var användart för att få nya kunskaper om domänen assyriologi.

This paper brings critical sociological analysis of contemporary situation on the EMS field in Czech Republic and discovers several topics which seemed to be less emphasized at that time. The result of the study is complex description of the EMT's personality, particular types, the population as a whole, specific relationships between variables and a few problems identified during the survey. Using mixed design research methods, the author deals with the emergency medical services in Czech Republic and it's employees. Based on the narrative data collected in speeches with the EMS staff, the typology of EMT's was created, considering their work attitudes, and a set of hypothesis was created as well. On this basis the continuing quantitative research was designed, verifying the validity of previous findings. The paper offers possible directions, how to continue in forthcoming research.

Organizations in the age of modern technology have a diverse workforce, who are spread around the globe, and the business leaders of the 21st century need to understand how best to manage, overcome new challenges, and know the various skills of team members to capitalize on their differences and unique skills. To allow those geographically dispersed workers to reach their full potential and facilitate team success. Global virtual teams (GVTs) operate in complex environments characterized by diverse cultural and organizational elements. The primary purpose of this correlational and nonexperimental quantitative research was to examine the impact of transformational leadership on GVTs, their productivity, and job satisfaction with leadership effectiveness. Using the Multifactor Leadership Questionnaire (MLQ) and the Job Satisfaction Survey (JSS), data analyzes were completed through SurveyMonkey.com and SPSS software. The study measured transformational leadership, the independent variable, by the leader's ability to motivate workers to be satisfied and productive, and by the leader's effectiveness in the organization. Data were assessed by frequency analysis, moderation analyzes, and multiple regression analysis on the dependent variables of job satisfaction, leadership effectiveness, and productivity. The findings from this study reinforced the positive relationships found between transformational leadership, employee productivity, and leadership effectiveness in GVTs. Results also showed that motivated employees increase productivity and help in the organization's growth. Implications for positive social change included improvements in GVT interactions to increase the exchange of diverse ideas that lead to increased productivity and job satisfaction.

The enactment of the NCLB Act of 2001 and its legislative mandates for accountability testing throughout the nation brought to the forefront the issue of data-driven decision making. This emphasis on improving education has been spurred due to the alleged failure of the public school system. As a result, the role of administrators has evolved to incorporate data-driven decision-making practices to help make educational choices. While the underlying assumption of implementing data-driven decision making is that it will lead to improvements in education, this has yet to be empirically proven. The purpose of the study was to analyze the relationships among school characteristics, principals' level of experience, principals' data-driven decision making practices, and student achievement. This census study addressed principals of k-5 public elementary schools. In this quantitative study, a web-based survey was used to measure principals' data-driven ion-making practices. The student achievement data examined were the California Standards Test results for English language arts and mathematics for the 2009–2010 and 2010–2011 school years. Through a series of multiple regression analyses, the study examined the relationships among school characteristics, principals' level of experience, principals' data-driven decision making practices, and student achievement. Specifically. this study explored the amount of variance in student achievement scores in language arts and mathematics that could be explained by school characteristics, principals' level of experience, and data-driven decision-making practices. The results showed principals are incorporating data-driven decision-making practices in k-5 public elementary schools in California. In addition, the results showed that principals believe the quality of their decision making has improved due to implementing data-driven decision making. Principals indicated they were incorporating practices identified in the four constructs used in the present study: (a) establishing a data-driven culture, (b) data-driven decision making by teachers to improve student achievement, (c) supporting systems for DDDM, and (d) collaboration among teachers using data-driven decision making. A strong negative correlation was found between the number of students on free and reduced lunch and student achievement.

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Biodiversity surveys conducted by consulting firms generate valuable biodiversity data. However, the full potential of this data remains untapped without proper structuring and integration into a collaborative network of shared data. This thesis addresses the lack of studies exploring data management in biodiversity surveys and the specific requirements for data structuring. The objective of this Bachelor’s thesis is to introduce the concepts of data management in biodiversity surveys and collaborative data sharing, which have gained scientific popularity due to advancements in data-driven technologies and growing public interest in environmental sustainability. Using a qualitative and exploratory approach based on the Design Science Research paradigm, this research draws general conclusions on data management practices in biodiversity surveys and identifies the requirements for new data standards. The findings of this thesis serve as a starting point for ongoing efforts toward establishing a standardised structure for biodiversity survey data. Such a structure would enable meaningful insights through data-driven technologies and facilitate integration into a collaborative network of shared data. By addressing the gap in understanding data management and data standards in biodiversity surveys, this research contributes to the effective utilization of biodiversity data, ultimately supporting the achievement of sustainability goals. / Naturvärdesinventeringar utförda av konsultfirmor i Sverige genererar en betydande mängd biodiversitetsdata. För att utnyttja värdet av denna data fullt ut är strukturerad hantering och öppen samverkan och delning av data inom öppna data-ekosystem avgörande. Genom att organisera och standardisera datan på ett enhetligt sätt blir den mer användbar och kan bidra till att uppnå globala och nationella hållbarhetsmål. Trots behovet finns det brist på studier som fokuserar på datahantering vid Naturvärdesinventeringar och specifikt specificerar kraven för strukturerad hantering av data. Detta kandidatarbete introducerar ämnet datahantering från Naturvärdesinventeringar samt delning av data inom öppna data-ekosystem. Dessa ämnen har blivit alltmer populära inom forskningen på grund av framstegen inom datadrivna teknologier och det ökande allmänna intresset för miljömässig hållbarhet. Med en kvalitativ och utforskande metod baserad på Design Science Research-paradigmet drar denna forskning generella slutsatser om god praxis för datahantering vid Naturvärdesinventeringar samt identifierar krav som behöver uppfyllas för att kunna dela datan inom öppna data-ekosystem. Resultaten av detta arbete utgör en grund för fortsatt arbete mot att etablera en standardiserad struktur för biodiversitetsdata från Naturvärdesinventeringar. En sådan struktur skulle möjliggöra djupare insikter genom datadrivna teknologier samt underlätta integreringen av data inom öppna data-ekosystem. Genom att belysa kunskapsbristen inom datahantering och datastandarder vid Naturvärdesinventeringar bidrar detta arbete till en effektivare användning av biodiversitetsdata och stödjer därmed arbetet med att uppnå hållbarhetsmålen.

There has been a growing interest in economic policies and their impact within a country among the real estate economics research community in recent years. After the economic crisis of 2008, an unconventional monetary policy was created, and it has been called quantitative easing (QE), an instrument of economic policy applied through central banks to boost the economy in periods when conventional monetary policy is not satisfactory. As with the economic challenge brought by COVID-19, many central banks had to implement unconventional monetary plans. This thesis aims to discover the impact of quantitative easing (QE) and its opposite quantitative tapering (QT) on the housing prices of the US real estate market. In order to deal with this problem, this research performs time-varying rolling correlations, which are correlations between two-time series on a rolling window. The window for this research will be monthly and subject to historical data points from a 280-month period of the USA metropolitan price housing and the Federal Balance sheet between 1998 and 2022. The results show there is a positive correlation between the different US housing markets and the US Federal Balance Sheet in the majority of the US markets analyzed and finds a high positive correlation between the different regional house price indices and US National Home Price Index and finally the existence of spillover effect between the cities in the high tier (e.g., Los Angeles and Miami) and low-tier (e.g., Chicago and Atlanta) cities, such that rising trends in one city are mirrored by the following changes in the other city in the equivalent tier and vice versa. / Under de senaste åren har det funnits ett växande intresse för ekonomisk politik och dess inverkan inom ett land bland den fastighetsekonomiska forskarvärlden. Efter den ekonomiska krisen 2008 har en okonventionell penningpolitik skapats och den har kallats kvantitativa lättnader (QE); ett ekonomiskt politiskt instrument som tillämpas genom centralbanker för att stärka ekonomin i perioder då den konventionella penningpolitiken inte är tillfredsställande. Liksom i fallet med den ekonomiska utmaning som covid-19 orsakade, var många centralbanker tvungna att genomföra okonventionella monetära planer. Denna avhandling syftar till att upptäcka effekten av kvantitativ lättnad (QE) och dess motståndare kvantitativ nedtrappning (QT) på bostadspriserna på den amerikanska fastighetsmarknaden. Som ett sätt att hantera detta problem utför denna forskning tidsvarierande rullande korrelationer som är korrelationer mellan två tidsserier på ett rullande fönster, fönstret för denna forskning kommer att vara månadsvis och föremål för historiska datapunkter från 280-månadersperioden i USA storstadspriserna bostäder och den federala balansräkningen mellan 1998 och 2022. Resultaten visar att det finns en positiv korrelation mellan de olika amerikanska bostadsmarknaderna och den amerikanska federala balansräkningen på majoriteten av de analyserade amerikanska marknaderna och finner en hög positiv korrelation mellan de olika regionala husprisindex och US National Home Price Index och slutligen förekomsten av spridningseffekter mellan städerna i städerna på hög nivå (t.ex. Los Angeles och Miami) och lågnivå (t.ex. Chicago och Atlanta), så att stigande trender i en stad speglas av följande förändringar i den andra staden i motsvarande nivå och vice versa.

Indiana University-Purdue University Indianapolis (IUPUI) / Performing arts centers have been touted as a strategy for revitalizing downtowns by increasing activities that bring in residents with higher incomes, tourists, arts employees, educated workers, and housing. Despite their popularity, civic leaders have encountered complexity in these projects, from financial challenges, to delayed openings and operating deficits. Previous downtown studies examine public facilities, such as stadiums and cultural institutions, through essays, surveys, case studies, or by quantifying transactions exchanged between the public and the facility. This dissertation focuses solely on performing arts centers, excluding all other forms of public facilities and cultural venues, by examining self-collected data on literature-based characteristics of 218 downtowns with and without performing arts centers, all over a seven-year period of time. It was hypothesized that the presence of a performing arts center would contribute to increases in the values of all downtown revitalization characteristics, and community characteristics, as well as organizational attributes of the performing arts center itself (age, size, and revenue types) would in turn, increase the values of the overall health of the performing arts center. Through the use of multiple linear regressions, this research shows that performing arts centers can play a role in revitalizing downtowns. This research also shows that a single characteristic is not solely responsible for revitalizing downtowns; rather, the increased vitality results from a confluence of the characteristics. Endogeneity tests show that a performing arts center is less likely to enter a deserted downtown bereft of vitality. Instead, performing arts centers serve as harbingers of revitalization, confirming the presence of downtown vitality, before they proceed to activate vitality further. Finally, through the use of binary logistic regressions, community characteristics are identified in order to determine the conditions of downtowns that would be most equipped to open a performing arts center, as compared with downtowns that could not.