Diverse Routes from School, via Higher Education, to Employment. A Comparison of Nine European Countries

The central theme for this study is graduate employment and employability in European-wide discussion. In this study, the complex relationships between higher education and the world of work are explored from the vantage point of how individuals make use of the higher education system in their transition from education to employment. The variation among individual transition processes in nine European countries is analysed with the help of a comparable graduate survey. Countries in this study are Italy, Spain, France, Austria, Germany, the Netherlands, the United Kingdom, Finland, and Norway. The data used for the study is commonly known as the “CHEERS” or “Careers after Higher Education, A European Research Survey.” The data was collected in 1999. The study discusses the possibilities and limitations the higher education system has in supporting the initial education-to-work transitions of youth. The study also addresses problems with comparing national higher education systems in terms of enrolment and graduate employability. A central purpose for this study is to reflect on concerns about the prolongation of individual transitions with a framework that simultaneously considers both the graduate employability and the duration of the education-to-work transition process. The key concept for this study is the standard student/graduate; synonym concepts are the traditional and the conventional student/graduate. Standard graduates are relatively young individuals who are performing their initial transition from education to working-life and who complete the degree-earning process within the stipulated time frame. In all nine countries, standard graduates make up a considerable share of the student flow, passing from higher education to the labour markets. The share of standard graduates is by far the largest in France, where they comprise the overwhelming mass. The proportion of the standard graduates is the lowest in Italy, Finland, and Austria where approximately one in four graduates completed the process of higher education within the stipulated time frame. Of the nine countries compared, employability of the whole graduate population is the greatest in Norway, the UK, Finland, and the Netherlands. Compared with employability of the whole graduate population, variation among the countries is considerably reduced when reviewing the employability of only the standard graduates. Thereby, even though the ranking among countries remains largely unchanged, the variations among them are smaller when the duration of degree earning process is standardized. The study also discusses other ideal types of student careers (or transition processes) besides the standard student/graduate. Results of regression analyses indicate that that at the pan-European level analysis, the graduate labour markets are not heavily segmented in terms of the type of the individual transition process. When considering within-country differences between the graduates, the field of studies is clearly a more powerful explanatory variable than the type of the transition process. There are, nevertheless, clear indications that, irrespective of the country, chances of finding a high status job are, on the average, highest amongst those who graduate within the stipulated duration of the degree program and who thereby have experienced the standard student career, whereas, participating in working life while studying protects against unemployment after finishing one’s degree.

Comparison Structure Analysis

This study presents an automatic, computer-aided analytical method called Comparison Structure Analysis (CSA), which can be applied to different dimensions of music. The aim of CSA is first and foremost practical: to produce dynamic and understandable representations of musical properties by evaluating the prevalence of a chosen musical data structure through a musical piece. Such a comparison structure may refer to a mathematical vector, a set, a matrix or another type of data structure and even a combination of data structures. CSA depends on an abstract systematic segmentation that allows for a statistical or mathematical survey of the data. To choose a comparison structure is to tune the apparatus to be sensitive to an exclusive set of musical properties. CSA settles somewhere between traditional music analysis and computer aided music information retrieval (MIR). Theoretically defined musical entities, such as pitch-class sets, set-classes and particular rhythm patterns are detected in compositions using pattern extraction and pattern comparison algorithms that are typical within the field of MIR. In principle, the idea of comparison structure analysis can be applied to any time-series type data and, in the music analytical context, to polyphonic as well as homophonic music. Tonal trends, set-class similarities, invertible counterpoints, voice-leading similarities, short-term modulations, rhythmic similarities and multiparametric changes in musical texture were studied. Since CSA allows for a highly accurate classification of compositions, its methods may be applicable to symbolic music information retrieval as well. The strength of CSA relies especially on the possibility to make comparisons between the observations concerning different musical parameters and to combine it with statistical and perhaps other music analytical methods. The results of CSA are dependent on the competence of the similarity measure. New similarity measures for tonal stability, rhythmic and set-class similarity measurements were proposed. The most advanced results were attained by employing the automated function generation – comparable with the so-called genetic programming – to search for an optimal model for set-class similarity measurements. However, the results of CSA seem to agree strongly, independent of the type of similarity function employed in the analysis.

Knowledge Management in China and in Finland- A cross country comparison

Nowadays, knowledge management (KM) is important for the success of individuals, organizations, and countries. While comparative study approach of knowledge management is a good way to enlarge peoples‘ understandings of KM, how these processes and practices are different across countries is an interesting research topic. The goal of this study is to conduct a cross-country KM comparison between China and Finland. More specifically, the current status of Chinese and Finnish KM will be studied, and then comparisons will be made in three dimensions: knowledge processes, knowledge management practices, and performance and perceptions of KM. A cross-country KM survey was conducted through a well-designed questionnaire. At the end of the study, current Chinese and Finnish KM findings are presented respectively, and a comparison of KM between the two countries is done. From the comparison, it was found that China and Finland have statistically significant differences in several knowledge processes and KM practices. Some detailed information from the comparison is also illustrated. This research partly filled the theoretical gap in understanding contemporary Chinese KM. The KM comparison between China and Finland provides useful information to KM researchers and practitioners.

Towards sustainable transport: A comparison of demographic and behavioural characteristics of Finnish and international car sharing users

SStrong evidence suggests that the climate is changing and that these changes are largely caused by human activities. A consensus exists among researchers that human activity is causing global warming and that actions to mitigate global warming need to be taken swiftly. The transportation sector, which relies heavily on fossil fuel burning and primarily oil, is one of the big contributors to air pollution problems at local, regional and global levels. It is the fastest growing source of greenhouse gas emissions and is estimated to be responsible for nearly a quarter of global energyrelated carbon dioxide emissions. Car sharing is a mobility solution encouraging its users to decrease private car usage in favour of communal transit and environmental goals. The idea of car sharing originates from the aspiration to decrease personal car ownership and to reduce vehicle distance travelled. This thesis seeks to complement the understanding of Finnish car sharing users and their usage through better categorization. Through better categorization and segmentation of Finnish car sharing users the thesis seeks to provide information for improved marketing insight. Research is done on the demographic and behavioural characteristics of Finnish car sharing users and they are compared with international findings about the characteristics of International car sharing users. The main research problem is Are Finnish car sharing users similar to international ones? A theoretical research framework on the determinants of individual car sharing usage is built based on international research about demographic and behaviouristic characteristics. After this a quantitative survey is performed to the customers of a Finnish car sharing organization. The data analysed in the thesis consist out of 532 answers received from the car sharing organizations customers. The data is analysed with descriptive and other exploratory methods, which create an understanding of Finnish car sharing users. At the end of the analysis the demographic and behavioural characteristics of Finnish car sharing users are compared with international ones. The research findings of the thesis indicate that the demographic and behavioural characteristics of Finnish car sharing usage largely follow those of their international counterparts. Thanks to the thesis results the car sharing organization is able to better target their customers through improved marketing insight.

Towards sustainable transport: A comparison of demographic and behavioural characteristics of Finnish and international car sharing users

Strong evidence suggests that the climate is changing and that these changes are largely caused by human activities. A consensus exists among researchers that human activity is causing global warming and that actions to mitigate global warming need to be taken swiftly. The transportation sector, which relies heavily on fossil fuel burning and primarily oil, is one of the big contributors to air pollution problems at local, regional and global levels. It is the fastest growing source of greenhouse gas emissions and is estimated to be responsible for nearly a quarter of global energyrelated carbon dioxide emissions. Car sharing is a mobility solution encouraging its users to decrease private car usage in favour of communal transit and environmental goals. The idea of car sharing originates from the aspiration to decrease personal car ownership and to reduce vehicle distance travelled. This thesis seeks to complement the understanding of Finnish car sharing users and their usage through better categorization. Through better categorization and segmentation of Finnish car sharing users the thesis seeks to provide information for improved marketing insight. Research is done on the demographic and behavioural characteristics of Finnish car sharing users and they are compared with international findings about the characteristics of International car sharing users. The main research problem is Are Finnish car sharing users similar to international ones? A theoretical research framework on the determinants of individual car sharing usage is built based on international research about demographic and behaviouristic characteristics. After this a quantitative survey is performed to the customers of a Finnish car sharing organization. The data analysed in the thesis consist out of 532 answers received from the car sharing organizations customers. The data is analysed with descriptive and other exploratory methods, which create an understanding of Finnish car sharing users. At the end of the analysis the demographic and behavioural characteristics of Finnish car sharing users are compared with international ones. The research findings of the thesis indicate that the demographic and behavioural characteristics of Finnish car sharing usage largely follow those of their international counterparts. Thanks to the thesis results the car sharing organization is able to better target their customers through improved marketing insight.