1,720,976 research outputs found
Deriving a Composite Indicator to Measure Well-being at Work in European Union Countries
No full textThe objective of this paper is to display how the exposure to psychosocial risk factors impact on workers’ well-being as much as the physical risk factors, in particular showing the strength of the effect of exposure to selected risk factors existing in the workplace on workers’ well-being. Following the framework proposed by EU-OSHA (2013) and applying statistical procedures to the European Working Conditions Survey data, we analysed how and to what extent physical risk factors and psychosocial risk factors impact on health and well-being of workers in European workplaces. More in particular, we carried out Ordered Probit models to measure the effect of specific items operationalising the physical and the psychosocial risk factors and subsequently run a Principal Component Analysis (PCA) to identify two separate synthetic indicators of physical risk factors and psychosocial risk factors respectively, to analyse their impact on health and well-being
The quality of work dimensions. Results of a multivariate analysis from the Third Isfol Survey on Quality of work in Italy
Full text linkThis paper starts with an overview of the theoretical framework on quality of work and identifies five relevant dimensions, in line with Gallino & La Rosa: ergonomic, complexity, autonomy, control and economic dimensions. The above dimensions are described and measured by means of multivariate analysis to detect differences in terms of the factors affecting the level of the quality of work dimensions achieved. The data set that we use for this purpose is the Third Isfol Survey on Quality of Work (IsfolQdL) that has been carried out in 2010 on a sample of 5,000 workers and operationalizes the five dimensions of the quality of work. The results of the multivariate analysis confirm the worse achievements in terms of quality of work by temporary workers and lower skilled workers and lower level of achievements by women in the economic and autonomy dimensions. Women are also more likely to be found in part-time work positions and the latter show an improvement in the ergonomic dimension (that includes also work life balance) at the expenses of the economic and autonomy dimensions
Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey
Full text linkIn modern workplaces, alongside physical, chemical, and biological hazards, other risks are linked to the organisation of work and to the nature of the work itself. This paper investigates the association between workers’ well-being and both psychosocial and physical risk factors at work proposing a synthetic measure suitable to generate insights on well-being at work and on individual risk factors. Exploiting data from the European Working Conditions Survey, we select as response variable the “self-assessed health”. As this proxy of well-being is measured on a Likert scale, Ordered Probit analyses are run, and respondents’ profiles are illustrated. Then, a Principal Component Analysis is carried out to build two synthetic measures summarising the selected risk determinants. The resulting first principal components are subsequently used as synthetic indicators in further, simplified, Ordered Probit models to explain the impact of different sets of risks on perceived health. Such a methodology allows for a straightforward interpretation of the results since many different risk drivers are replaced by two continuous synthetic indicators. Our findings, in line with existing research, confirm that both types of risk factors do exert a substantial impact on workers’ health, although the psychosocial determinants seem to be more prominent
Investigating well-being at work via composite indicators
No full textThe paper investigates the effect on workers’ well-being of selected risk factors existing in the workplace. Following the framework proposed by EU-OSHA (2013), the two categories of risk factors under investigation will be on the one hand the physical risk factors and on the other hand the psychosocial ones. More in particular, our objective is to display how psychosocial risk factors can affect workers’ health conditions as much as the physical risk factors, using some of the evidence of the European Working Conditions Survey (Eurofound, 2017). As a proxy of workers’ well-being, the variable of interest, that is the self-assessed health (SAH), stems from question Q75: “How is your health in general? Would you say it is (..:)” measured on a 5-point Likert scale (1 Very good; 2 Good; 3 Fair; 4 Bad; 5 Very bad). Current literature, as summarized in OECD handbook (2008), emphasizes the stages to achieve effective and consistent composite indicator. In order to build a model-based composite indicator for the SAH, the methodology chosen for this paper involved a number of steps. First, due to the ordinal variable of interest, Ordered Probit analyses were run based on explanatory variables describing the physical risks at work, the psychosocial risks and some individual characteristics. Then, a Principal Components Analysis was carried out to build a composite indicator summarising the selected variables, and the resulting Principal Components (PCs) have subsequently been used as explanatory variables in further Ordered Probit analyses. Moreover, results from the latter models are compared to measure the intensity of the relationship between SAH and variables identifying physical and psychosocial risks, highlighting those more relevant in influencing SAH. The results display that both types of risk factors do exert a significant impact on workers’ health, and in both cases the synthetic indicator (i.e. the first PC) accounts for most of the variance providing and effective synthesis of the data. When included in Ordered Probit models to measure the strength of their effect on the self-reported health, the indicators built for the two sets of risks turn out to be significant, both together and alone. The benefit of building these synthetic indicators relies on that they allow for simplifying a model-based analysis and may help in disentangling specific drivers of work-related well-being, as long as they are actually carriers of information, with the additional advantage of removing redundant information, obtaining more robust models
Employment conditions in the international road haulage sector
No full textAbstract
The market integration and internationalisation of the road transport sector has
implications for the social protection of its workers. This Policy Department A
study aims to provide the EMPL Committee with information about trends in the
employment conditions of drivers in this sector. In particular, it aims to review
whether the current regulatory framework is achieving the desired balance
between market integration and social protection of workers, and what steps can be taken to ensure this balance in the future
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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