18 research outputs found

    Racial Differences in Physical and Mental Health

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    This article examines the extent to which racial differences in socio-economic status (SES), social class and acute and chronic indicators of perceived discrimination, as well as general measures of stress can account for black-white differences in self-reported measures of physical and mental health. The observed racial differences in health were markedly reduced when adjusted for education and especially income. However, both perceived discrimination and more traditional measures of stress are related to health and play an incremental role in accounting for differences between the races in health status. These findings underscore the need for research efforts to identify the complex ways in which economic and non-economic forms of discrimination relate to each other and combine with socio-economic position and other risk factors and resources to affect health.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67159/2/10.1177_135910539700200305.pd

    Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World

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    We propose a central role for work design in understanding the effects of digital technologies. We give examples of how new technologies can—depending on various factors—positively and negatively affect job resources (autonomy/control, skill use, job feedback, relational aspects) and job demands (e.g., performance monitoring), with consequences for employee well-being, safety, and performance. We identify four intervention strategies. First, work design choices need to be proactively considered during technology implementation, consistent with the sociotechnical systems principle of joint optimization. Second, human-centred design principles should be explicitly considered in the design and procurement of new technologies. Third, organizationally oriented intervention strategies need to be supported by macro-level policies. Fourth, there is a need to go beyond a focus on upskilling employees to help them adapt to technology change, to also focus on training employees, as well as other stakeholders, in work design and related topics. Finally, we identify directions for moving the field forward, including new research questions (e.g., job autonomy in the context of machine learning; understanding designers’ work design mindsets; investigating how job crafting applies to technology); a reorientation of methods (e.g., interdisciplinary, intervention studies); and steps for achieving practical impact
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