Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Smoothing (Statistics) --- Lissage (Statistique) --- Stochastic processes --- Kernel functions --- Functions, Kernel --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Functions of complex variables --- Geometric function theory --- Statistique non paramétrique --- Estimation, Théorie de l' --- Analyse de régression

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The data report presents the structural development of educational science and is commissioned every four years by Deutsche Gesellschaft für Erziehungswissenschaft (DGfE). The publication aims to inform the field-specialized public, education and higher education politics as well as the public about current developments in educational science as one of the largest fields at German universities. Particular attention is paid to study programs, students, degrees, human resources, research achievements and the promotion of young talents. The data report provides basic information on how educational science develops under the influence of recent changes and identifies the need for action in terms of the political field as well as higher education and education policy. Relevant information in the data report - for example on students, degrees and academic careers - is differentiated by gender. The DGfE thus fulfills its own claim to support gender equality. The data report is of particular importance for current discussions about securing training capacities for professional pedagogical professions and about academic careers. Der Datenreport ist eine regelmäßig alle vier Jahre von der Deutschen Gesellschaft für Erziehungswissenschaft (DGfE) in Auftrag gegebene Darstellung struktureller Entwicklungen der Erziehungswissenschaft. Er informiert die Fachöffentlichkeit, die Bildungs- und Hochschulpolitik sowie die Öffentlichkeit über Trends und den jeweils erreichten Entwicklungsstand der Erziehungswissenschaft als eines der größten Fächer an deutschen Hochschulen. Besonderes Augenmerk liegt auf den Indikatoren zu Studiengängen, Studienabschlüssen, Personal, Forschungsleistungen und Nachwuchsförderung.

Absolventen --- Bildungspolitik --- degree courses --- Dissertation --- doctorate --- educational policy --- educational science --- graduates --- graduation --- Habilitation --- job market --- Lehrerbildung --- Lehrerinnenbildung --- Nachwuchsförderung --- Personal --- personnel --- PhD --- promotion of young talents --- Promotion --- publication culture --- Publikationskultur --- science research --- Stellenmarkt --- Studienabschlüsse --- Studiengänge --- teacher education --- teacher training --- transitions --- Wissenschaftsforschung --- Übergänge --- education and higher education politics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The topics addressed include the bias-variance tradeoff, smoothing parameter choices, achieving rate improvements with bias reduction techniques, and estimation with weakly dependent data. Further, the large- and finite-sample properties of estimators and test statistics smoothed by asymmetric kernels are compared with those smoothed by symmetric kernels. Lastly, the book addresses the applications of asymmetric kernel estimation and testing to various forms of nonnegative economic and financial data. Until recently, the most popularly chosen nonparametric methods used symmetric kernel functions to estimate probability density functions of symmetric distributions with unbounded support. Yet many types of economic and financial data are nonnegative and violate the presumed conditions of conventional methods. Examples include incomes, wages, short-term interest rates, and insurance claims. Such observations are often concentrated near the boundary and have long tails with sparse data. Smoothing with asymmetric kernel functions has increasingly gained attention, because the approach successfully addresses the issues arising from distributions that have natural boundaries at the origin and heavy positive skewness. Offering an overview of recently developed kernel methods, complemented by intuitive explanations and mathematical proofs, this book is highly recommended to all readers seeking an in-depth and up-to-date guide to nonparametric estimation methods employing asymmetric kernel smoothing.

Statistics. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistical Theory and Methods. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Statistics and Computing/Statistics Programs. --- Smoothing (Statistics) --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Social Sciences, Humanities, Law. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics .

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Ensuring the sustainability of early stage companies and increasing awareness of the need for balancing targets against different stakeholder groups among young companies are not well developed. Young companies, in the first place, want to achieve financial success very often without regard for aspects such as the environment, positive relationships with employees, suppliers or other stakeholder groups, fulfilling requirements of labor law, etc. Another issue is that of companies whose business models are based on actuarially-preferred concepts, such as sharing economy, sustainable development, e-comers, e-commerce, renewable energy, social media, and others. A key issue is the resignation of companies from an approach to business, based on the foundations of classical economics to the sharing economy. Theory and practice seek new solutions in the sphere of value sharing in these new areas of sharing, and innovative forms of its implementation. Intriguing is the relationship of these business models with sustainability issues, as well as wondering how technology can influence sustainability. A contemporary approach to consumer value fits in with the assumption of a shared economy. It is interesting how it affects the assumptions of sustainability of business. The ongoing changes in the value system of potential consumers create new conditions for the design of sustainability business models and creation of innovation.

social enterprise --- entrepreneurship-specific human capital --- social capital --- young companies --- value capture --- sustainable enterprises --- digitalization --- corporate social responsibility --- value creation --- start-ups --- medical device industry --- incubator --- data envelopment analysis --- China --- social value --- railway companies --- network involvement --- creativity --- value migration --- role breadth self-efficacy --- business model --- Korea --- tenants’ graduation --- efficiency --- socially responsible human resource management --- mutual support --- social enterprises --- performance evaluation --- sustainability development --- opportunity recognition and evaluation --- young firms --- job performance --- social climate --- success factor --- sustainable business model innovation --- social aspects --- green human resource management --- medical device start-ups --- product innovation --- digital economy --- analytical hierarchy process --- sustainable business model --- coworking space --- incubation services

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Higher education has been considered both an ‘engine’ for innovation and a ‘catalyst’ for sustainability development; the integration of both the innovation engine and sustainability catalyst roles are discussed in a recently published Special Issue on the theme of Higher Education in Innovation Ecosystems in the journal Sustainability. Based on 16 articles contributing to the Special Issue from various perspectives, the Special Issue editors have developed an overarching framework about the relationships between higher education and innovation ecosystems. In the framework, we re-define the concept of innovation ecosystem and identify emerging roles of universities in developing sustainable innovation ecosystems. Re-conceptualization of innovation ecosystems In the editorial of the Special Issue, innovation ecosystem is defined as: co-innovation networks in which actors from organizations concerned with the functions of knowledge production, wealth creation, and norm control interact with each other in forming co-evolution and interdependent relations (both direct or indirect) in cross-geographical contexts and through which new ideas and approaches from various internal and external sources are integrated into a platform to generate shared values for the sustainable transformation of society. Compared with most commonly cited definitions of innovation ecosystem, our definition highlights three new aspects of interactions in co-innovation networks: cross-sectoral, transnational, and indirect, drawing insights from the literature including innovation, geography, and biology studies. The roles of universities in innovation ecosystems The emerging roles of universities in innovation ecosystems are as follows: (1) The role of universities is changing from being a central player in technology transfer to being an anchor in knowledge exchange; (2) universities are assuming a new role in trust-building between actors in innovation ecosystems; and (3) universities are not merely an entrepreneurial universities but are also institutional entrepreneur in the innovation ecosystem. The three emerging roles all indicate that universities are becoming the catalysts for sustainable development in innovation ecosystems. Knowledge exchange is crucial for sustainability; trust is the foundation of the sustainable networks; social entrepreneurship is indispensable for sustainable social change. Evidence in wider contexts A total of 44 authors from 10 countries contributed to the discussions on the changing roles of higher education in innovation ecosystems from varying perspectives. They also report transformations within higher education and universities’ responses to both external and internal transformations. When addressing these issues, the studies provide both theoretical and methodological contributions to the research on higher education in innovation ecosystems. The 16 articles can be generally placed into four categories: (1) new demands for universities arising from the transformation in society toward innovation ecosystems, (2) transformations within higher education responding to emerging societal demands, (3) dynamics of the interaction of university with other innovation actors in a transnational context, and (4) academic and student mobility for higher education innovation. Calling for a new research agenda While societal changes demand broader roles of universities, they also call for and leads to substantial changes within the internal fabric of the university. The innovations in both society and the universities necessitate a renewed understanding of higher education in society, which has become a new research agenda in studies on innovation in higher education. We hope our Special Issue will inspire and encourage more scholars to join the research field.

Humanities --- Education --- transnational industry cooperation --- transnational university cooperation --- transnational innovation ecosystem --- EU–China --- science, technology and innovation cooperation --- transdisciplinary approach --- artificial intelligence --- machine learning --- Higher Education --- University --- Entrepreneurial competences --- Employability --- Theory of Planned Behaviour (TPB) --- Open Innovation --- business creation --- technology transfer --- innovation --- innovation ecosystem --- entrepreneurship education --- science and technology --- sustainability --- higher education --- educational innovation --- Mexico --- academic mobility --- knowledge transfer --- higher education innovation --- institutional environment --- postgraduate education --- education level --- discipline background --- graduation institution --- R&amp --- D investment --- triple helix --- synergy mechanism --- national system of innovation --- China --- Belt and Road Initiative --- developmental model of intercultural sensitivity --- general model of instructional communication --- instructional beliefs model --- intercultural communication competence model --- green GDP --- environment --- sustainable development --- global innovation systems --- Chinese research university --- faculty income --- academic labor market --- ordinary labor market --- joint R&amp --- D institute --- institutional logics --- China’s innovation system --- China’s transnational Triple Helix linkages --- problem-solving --- critical reflection --- knowledge integration --- social learning --- systemic thinking --- entrepreneurial university --- entrepreneurship --- influencing factors --- sustainable universities --- corporate sustainability --- tensions --- integrative framework --- Finnish universities --- higher education system --- social entrepreneurship --- entrepreneurial universities --- business model innovation --- socialist economies --- Cuba --- knowledge brokers --- knowledge intensive policies --- smart specialisation --- innovation ecosystems --- global talent --- social integration --- economic integration --- Chinese student --- Finland --- university --- third mission --- knowledge-based society --- global innovation networks --- transnational industry cooperation --- transnational university cooperation --- transnational innovation ecosystem --- EU–China --- science, technology and innovation cooperation --- transdisciplinary approach --- artificial intelligence --- machine learning --- Higher Education --- University --- Entrepreneurial competences --- Employability --- Theory of Planned Behaviour (TPB) --- Open Innovation --- business creation --- technology transfer --- innovation --- innovation ecosystem --- entrepreneurship education --- science and technology --- sustainability --- higher education --- educational innovation --- Mexico --- academic mobility --- knowledge transfer --- higher education innovation --- institutional environment --- postgraduate education --- education level --- discipline background --- graduation institution --- R&amp --- D investment --- triple helix --- synergy mechanism --- national system of innovation --- China --- Belt and Road Initiative --- developmental model of intercultural sensitivity --- general model of instructional communication --- instructional beliefs model --- intercultural communication competence model --- green GDP --- environment --- sustainable development --- global innovation systems --- Chinese research university --- faculty income --- academic labor market --- ordinary labor market --- joint R&amp --- D institute --- institutional logics --- China’s innovation system --- China’s transnational Triple Helix linkages --- problem-solving --- critical reflection --- knowledge integration --- social learning --- systemic thinking --- entrepreneurial university --- entrepreneurship --- influencing factors --- sustainable universities --- corporate sustainability --- tensions --- integrative framework --- Finnish universities --- higher education system --- social entrepreneurship --- entrepreneurial universities --- business model innovation --- socialist economies --- Cuba --- knowledge brokers --- knowledge intensive policies --- smart specialisation --- innovation ecosystems --- global talent --- social integration --- economic integration --- Chinese student --- Finland --- university --- third mission --- knowledge-based society --- global innovation networks