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A Research Agenda for Knowledge Management and Analytics
Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance.
Econometric Evaluation of Labour Market Policies
Empirical measurement of impacts of active labour market programmes has started to become a central task of economic researchers. New improved econometric methods have been developed that will probably influence future empirical work in various other fields of economics as well. This volume contains a selection of original papers from leading experts, among them James J. Heckman, Noble Prize Winner 2000 in economics, addressing these econometric issues at the theoretical and empirical level. The theoretical part contains papers on tight bounds of average treatment effects, instrumental variables estimators, impact measurement with multiple programme options and statistical profiling. The empirical part provides the reader with econometric evaluations of active labour market programmes in Canada, Germany, France, Italy, Slovak Republic and Sweden.
Lifetime Data: Models in Reliability and Survival Analysis
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).
Web Information Systems Engineering – WISE 2013 Workshops
This book constitutes the revised selected papers of the combined workshops on Web Information Systems Engineering, WISE 2013, held in Nanjing, China, in October 2013. The seven workshops of WISE 2013 have reported the recent developments and advances in the contemporary topics in the related fields of: the big data problem on the Web, Big Web Data 2013, mobile business, MBC 2013, personalization in cloud and service computing, PCS 2013, data quality and trust in dig data, QUAT 2013, e-health and social computing, SCEH 2013, semantic technology for e-health, STeH 2013 and semantic technology for smarter cities, STSC 2013.
Dealing with Losers
Winner of the Donner Prize for the best book on public policy by a Canadian in 2014.Whenever governments change policies - tax, expenditure, or regulatory policies, among others - there will typically be losers: people or groups who relied upon and invested in physical, financial, or human capital predicated on, or even deliberately induced by the pre-reform set of policies. Theissue of whether and when to mitigate the costs associated with policy changes, either through explicit government compensation, grandfathering, phased or postponed implementation, is ubiquitous across the policy landscape. Much of the existing literature covers government takings, yet compensationfor expropriation co...
Now and Forever?
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