1,721,037 research outputs found

    Centralized wage setting and labor market policies: the nordic model case

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    It is often argued that rigid labour market and centralized bargaining are harmful employment and growth. This paper looks at the case of Nordic countries as a counter-example pointing to some weaknesses of this view. Rigid labour markets, while reducing the offer of low quality jobs, increase average labor productivity by favoring job relocation in high quality jobs. Moene and Wallerstein (1997) adopted a vintage-capital model to compare centralized and decentralized bargaining: they show that centralized bargaining systems yield higher labor productivity and higher structural unemployment. By introducing a frictional labor market in the vintage-capital framework , we show that the negative effects on employment characterizing centralized bargaining can be reduced by adopting active labor market policy. Keywords: Centralized wage setting, structural change, labor market policy, frictional unemploymen

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    HoloLearn: Wearable Mixed Reality for People with Neurodevelopmental Disorders (NDD)

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    Our research explores the potential of wearable Mixed Reality (MR) for people with Neuro-Developmental Disorders (NDD). The paper presents HoloLearn, a MR application designed in cooperation with NDD experts and implemented using HoloLens technology. The goal of HoloLearn is to help people with NDD learn how to perform simple everyday tasks in domestic environments and improve autonomy. An original feature of the system is the presence of a virtual assistant devoted to capture the user's attention and to give her/him hints during task execution in the MR environment. We performed an exploratory study involving 20 subjects with NDD to investigate the acceptability and usability of HoloLearn and its potential as a therapeutic tool. HoloLearn was well-accepted by the participants and the activities in the MR space were perceived as enjoyable, despite some usability problems associated to HoloLens interaction mechanism. More extensive and long term empirical research is needed to validate these early results, but our study suggests that HoloLearn could be adopted as a complement to more traditional interventions. Our work, and the lessons we learned, may help designers and developers of future MR applications devoted to people with NDD and to other people with similar needs
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