Turning ideas into products:subjective well-being in co-creation

New services, like fabrication spaces, 3D printer rentals and virtual marketplaces, have made it easier for empowered consumers to co-create innovative products without almost any involvement of traditional companies. Adopting a consumer-grounded view, this work takes a step forward from the existing service literature by investigating the link between psychological motives and happiness in co-creation. Specifically, the study measures how community affiliation, personal growth, and utilitarian motives are predictors of subjective well-being. The results illustrate that community affiliation and personal growth motives predict high scores of subjective well-being, while utilitarian motives do not. In addition, empowered consumers who co-create with others are happier than consumers who create alone. This indicates that direct interactions are not only a powerful platform for service co-creation, but are also predictors of subjective well-being. We discuss the implications for traditional companies and for decision makers regarding the benefits offered by digital fabrication services

Social capital and willingness to participate in COVID-19 vaccine trials: an Italian case-control study

Background: What leads healthy people to enter in a volunteer register for clinical trials? This study aimed to investigate the relationship between the decision to volunteer in clinical trials for a COVID-19 vaccine and social capital, in a sample of healthy volunteers in Italy. Since social capital is characterized by trust, reciprocity, and social and political participation, we claim that it is key in leading individuals to actively take action to protect public health, and to take a risk for the (potential) beneft not only of themselves but for the entire community. Methods: This study was conducted through the administration of a questionnaire to healthy volunteers registered for a phase 1 clinical trial for a COVID-19 vaccine in the Unit Research Centre of ASST-Monza, in September 2020. The primary purpose of a phase 1 study is to evaluate the safety of a new drug candidate before it proceeds to further clinical studies. To approximate a case–control study, we randomly matched the 318 respondents to healthy volunteers (cases) with 318 people randomly selected by Round 9 of the European Social Survey (controls), using three variables, which we considered to be associated with the decision to volunteer: gender, age, and education level. To execute this matching procedure, we used the “ccmatch” module in STATA. Results: The fndings highlight the positive impact of social capital in the choice of healthy individuals to volunteer in COVID-19 vaccine clinical trials. Controlling for possible confounding factors, some exemplary results show that people with a high level of general trust have a greater likelihood of volunteering compared to people with low trust (OR=2.75, CI=1.58–4.77); we also found that it is more probable that volunteers are people who have actively taken action to improve things compared with people who have not (for individuals who did three or more actions: OR=7.54, CI=4.10–13.86). People who reported voting (OR=3.91, CI=1.70–8.99) and participating in social activities more than other people of their age (OR=2.89, CI=1.82–4.60) showed a higher probability to volunteer. Conclusions: Together with the adoption of urgent health measures in response to COVID-19, government policymakers should also promote social capital initiatives to encourage individuals to actively engage in actions aimed at protecting collective health. Our fndings make an empirical contribution to the research on vaccines and its intersection with social behaviour, and they provide useful insights for policymakers to manage current and future disease outbreaks and to enhance the enrolment in vaccine trials

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts