The Self‐Directed Search as a Stand‐Alone Intervention With College Students

The Self‐Directed Search (SDS; Holland, 1994 ) is sometimes administered to large student groups outside of counseling to address common career development needs. This study evaluated the effectiveness of the SDS as a stand‐alone intervention by comparing a general sample of college students who completed the SDS (n = 39) with a no‐treatment control group (n = 41) on several outcomes. Completion of the SDS related to an increase in the number of career alternatives being considered 4 weeks later but did not relate to career exploration, career decision‐making self‐efficacy, career indecision, and seeking of career counseling services. If the SDS is used outside of counseling with broad student samples, the authors suggest providing additional intervention to ensure that it promotes exploration of any additional careers being considered.     

Advocacy Communication and Social Identity: An Exploration of Social Media Outreach

Increasingly, advocacy organizations employ social networking sites as inexpensive and often effective ways to disseminate outreach messages. For groups working to reach lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth, social media provide key platforms for connecting with target audiences. Although these young people increasingly utilize social media, little is known about how digital advocacy campaigns influence their sexual identity formation. This article applies concepts of social identity to examine how LGBTQ youth understand advocacy campaigns, how they perceive LGBTQ as a social category presented in campaigns, and what values they assign to LGBTQ group membership.     

Health benefits of volunteering in the Wisconsin longitudinal study

We investigate positive effects of volunteering on psychological well-being and self-reported health using all four waves of the Wisconsin Longitudinal Study. Confirming previous research, volunteering was positively related to both outcome variables. Both consistency of volunteering over time and diversity of participation are significantly related to well-being and self-reported health. The relationship of volunteering to psychological well-being was moderated by level of social integration, such that those who were less well integrated benefited the most. Mattering appears to mediate the link between volunteering and wellbeing. Controls for other forms of social participation and for the predictors of volunteering are employed in analyses of well-being in 1992. We find volunteering effects on psychological well-being in 2004, controlling for 1992 wellbeing, thus providing strong evidence for a causal effect.     

Governance Considerations for Seeker–Solver Relationships: A Knowledge‐Based Perspective in Crowdsourcing for Innovation Contests

The need to solve innovation problems and insource knowledge has led to an increasing number of organizations engaging in crowdsourcing activities and subsequently establishing working relationships with winning solution providers. Using a knowledge‐based view and the problem‐solving perspective, we develop a theoretical framework suggesting how specific innovation problem attributes (i.e. the decomposability, formulation and search space of the problem) influence the governance decision (unilateral vs. bilateral) of seekers to manage the relationship with winning solvers. We empirically analyse the framework using 582 challenges broadcast on the NineSigma crowdsourcing platform. Our results indicate that problem attributes – the formulation and search space of the problem – have a positive effect on seekers’ preference towards unilateral governance structures. However, we did not find any empirical confirmation of the effect that the decomposability of the innovation problem has on seekers’ preference towards unilateral governance structures. This study offers several contributions to the crowdsourcing literature, and also has important implications for managers of organizations aiming to insource knowledge through crowdsourcing for innovation contests.     

A Case Study Evaluating the Risk of Infection from Middle Eastern Respiratory Syndrome Coronavirus (MERS‐CoV) in a Hospital Setting Through Bioaerosols

Middle Eastern respiratory syndrome, an emerging viral infection with a global case fatality rate of 35.5%, caused major outbreaks first in 2012 and 2015, though new cases are continuously reported around the world. Transmission is believed to mainly occur in healthcare settings through aerosolized particles. This study uses Quantitative Microbial Risk Assessment to develop a generalizable model that can assist with interpreting reported outbreak data or predict risk of infection with or without the recommended strategies. The exposure scenario includes a single index patient emitting virus‐containing aerosols into the air by coughing, leading to short‐ and long‐range airborne exposures for other patients in the same room, nurses, healthcare workers, and family visitors. Aerosol transport modeling was coupled with Monte Carlo simulation to evaluate the risk of MERS illness for the exposed population. Results from a typical scenario show the daily mean risk of infection to be the highest for the nurses and healthcare workers (8.49 × 10^?4 and 7.91 × 10^?4, respectively), and the lowest for family visitors and patients staying in the same room (3.12 × 10^?4 and 1.29 × 10^?4, respectively). Sensitivity analysis indicates that more than 90% of the uncertainty in the risk characterization is due to the viral concentration in saliva. Assessment of risk interventions showed that respiratory masks were found to have a greater effect in reducing the risks for all the groups evaluated (>90% risk reduction), while increasing the air exchange was effective for the other patients in the same room only (up to 58% risk reduction).     

Examples of option values in drug development

The option to stop a project is fundamental in drug development. The majority of drugs do not reach the market. Furthermore, many marketed drugs do not repay their development costs. It is therefore crucial to optimize the value of the option to stop. We formulate two examples of statistical models. One is based on success/failure in a series of trials; the other assumes that the commercial value evolves as a stochastic process as more information becomes available. These models are used to study a number of issues: the number and timing of decision points; value of information; speed of development; and order of trials. The results quantify the value of options. They show that early information that can change key decisions is most valuable. That is, we should nip bad projects in the bud. Modelling is also useful to analyse more complex decisions, for example, weighting the value of decision points against the cost of information or the speed of development. Copyright © 2003 John Wiley & Sons, Ltd.     

The evolutionary diversity of urban forests depends on their land-use history

Urban Ecosystems - Urbanization leads to strong modifications of landscape structure and ecosystem functioning, and urban areas are spreading rapidly. The aim of this study was to investigate how...