The attraction of new developers is a key challenge for initiatives developing Free Libre Open Source Software (FLOSS). While previous evaluations consider status gains and competence evaluations to be key drivers for novices' joining behavior, it is unclear how FLOSS developers' relationships with others affect the attraction of new developers. In this research, we look at FLOSS developers' relationships in terms of positive evaluations given by others. Using this perspective, we examine how FLOSS developers' reputation among members within and beyond the project community affects their projects' ability to attract new developers. We draw on Social Resource Theory (SRT) and hypothesize that developers with a high reputation among others enjoy high visibility and credibility, which in turn helps their projects to attract new members. Finally, we propose an evaluation approach for our research model that examines the reputation and project behavior of more than 1,000 FLOSS developers on a longitudinal base.
Despite the wide dissemination and acceptance of teleworking in the IT industry, companies like Yahoo!, HP, or Best Buy have stopped their telework programs, which indicates that there might also be some negative side effects in this type of work. In regard to this, our research focuses on one particular negative side of teleworking by focusing on teleworking-induced stress of IT professionals. We theorize that teleworking-induced stressors influence IT personnel's psychological and behavioral strain in the form of exhaustion due to teleworking and discontinuous intention towards teleworking. Results of an empirical online survey with 57 IT professionals validate these dependencies, which gives us the grounds to identify work overload, work-home conflict, information underload, and social isolation as influence factors of exhaustion due to teleworking. Further results reveal that discontinuous intentions towards teleworking is directly influenced by social isolation and exhaustion due to teleworking, whereas the influence of work overload is mediated by exhaustion due to teleworking. Work overload due to telework has the strongest effect on exhaustion due to teleworking, which in turn is the strongest influence factor on the discontinuous intention towards teleworking.
The lidA Cohort Study (German Cohort Study on Work, Age, Health and Work Participation) was set up to investigate and follow the effects of work and work context on the physical and psychological health of the ageing workforce in Germany and subsequently on work participation. Cohort participants are initially employed people subject to social security contributions and born in either 1959 (n = 2909) or 1965 (n = 3676). They were personally interviewed in their homes in 2011 and will be visited every 3 years. Data collection comprises socio-demographic data, work and private exposures, work ability, work and work participation attitudes, health, health-related behaviour, personality and attitudinal indicators. Employment biographies are assessed using register data. Subjective health reports and physical strength measures are complemented by health insurance claims data, where permission was given. A conceptual framework has been developed for the lidA Cohort Study within which three confirmatory sub-models assess the interdependencies of work and health considering age, gender and socioeconomic status. The first set of the data will be available to the scientific community by 2015. Access will be given by the Research Data Centre of the German Federal Employment Agency at the Institute for Employment Research (http://fdz.iab.de/en.aspx).
This report documents the PASS interviewer survey which was conducted in November 2010. Altogether 253 interviewers who worked as interviewers for PASS wave 4 or 5 partici-pated in a websurvey focusing on their personality, attitudes and motivations and on strate-gies they use on their job. The report summarizes the motivation for conducting the survey, gives details on the survey design, documents the survey instrument and gives descriptive statistics.