Suchergebnisse

The modern labour market features job insecurity (JI) as an unavoidable stressor. This study considers the influence of personal coping strategies by combining the conservation of resources with spillover theory. Do coping strategies buffer the negative effects of JI on well-being (work engagement, marital satisfaction and emotional energy at work and home)? A cybernetic coping scale distinguishes five coping strategies and a survey of 2764 Finnish employees reveals that changing the situation and symptom reduction buffer the negative effect of JI on emotional energy at work and home, respectively. Devaluation and accommodation have buffering tendencies in relation to work engagement and marital satisfaction. Thus, more engaged coping strategies reduce the negative effects of JI on employee well-being. Employees who use disengaged coping (i.e. avoidance) instead are less likely to remain engaged at work, such that frequent use of avoidance coping strengthens the negative relationship between JI and employee well-being.

Cheng, Ting-Yun, et al. ; We present in this paper one of the largest galaxy morphological classification catalogues to date, including over 20 million galaxies, using the Dark Energy Survey (DES) Year 3 data based on convolutional neural networks (CNNs). Monochromatic i-band DES images with linear, logarithmic, and gradient scales, matched with debiased visual classifications from the Galaxy Zoo 1 (GZ1) catalogue, are used to train our CNN models. With a training set including bright galaxies (16 ≤ i < 18) at low redshift (z < 0.25), we furthermore investigate the limit of the accuracy of our predictions applied to galaxies at fainter magnitude and at higher redshifts. Our final catalogue covers magnitudes 16 ≤ i < 21, and redshifts z < 1.0, and provides predicted probabilities to two galaxy types – ellipticals and spirals (disc galaxies). Our CNN classifications reveal an accuracy of over 99 per cent for bright galaxies when comparing with the GZ1 classifications (i < 18). For fainter galaxies, the visual classification carried out by three of the co-authors shows that the CNN classifier correctly categorizes discy galaxies with rounder and blurred features, which humans often incorrectly visually classify as ellipticals. As a part of the validation, we carry out one of the largest examinations of non-parametric methods, including ∼100 ,000 galaxies with the same coverage of magnitude and redshift as the training set from our catalogue. We find that the Gini coefficient is the best single parameter discriminator between ellipticals and spirals for this data set. ; The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015- 71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through project number CE110001020, and the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2). ; Peer reviewed

This paper uses DEA to assess the technical efficiencies of CPA firms, and applies the Tobit censored regression model to examine the relationship between technical efficiency and firm-specific characteristics. The results show that in 1994, Taiwan's CPA firms could have reduced inputs by 27.8 percent, on average, and still have produced the same level of services. In addition, a firm's size, age, service concentration, CPA-to-employee ratio and training expenditure per employee have positive impacts on its efficiency, and the firms with branches are less efficient than those without any branch.