D10.2 – Research Data Management Plan, version 3.0:RAGE – WP10 – D10.2

What data will be collected, processed or generated during the RAGE project? Following what methodology and standards? And what data will be shared and/or made openly available, and how will it be curated and preserved? These issues are typically described in a Data Management Plan (DMP), outlining how research data is handled during the project and after the project is completed. The RAGE DMP specifically provides guidelines on ethics, data protection and open research data access to RAGE researchers involved in WP5 (Case experiments) and WP8 (Validation). Ethics and data protection are especially relevant in view of the games and audiences targeted by RAGE. Therefore, RAGE is one of the participating projects in the EU open research data pilot, an initiative under Horizon 2020 that aims at improving and maximising the access to and re-use of research data created in European projects.This document is the third and final iteration of the DMP

A model of online protection to reduce children's online risk exposure: empirical evidence from Asia

Children are surrounded by a variety of digital media and are exposed to potential risks that come with such easy accessibility. Learning how to be safe online is an important consideration for both children and their caregivers. The present study proposes an integrated model of online safety based on constructs from protection motivation theory and the health belief model, namely perceived severity of (and susceptibility to) risk, online self-efficacy, online privacy concern, and digital literacy. The study comprised a survey conducted among 420 schoolchildren aged 9–16 years. Using partial least squares-structural equation modelling, the results illustrated the presence of a negative effect of ‘perceived severity of online risk’ toward online risks, whereas the effect of ‘digital literacy’ was found to be positive. Children whose perception of online risks was more severe were less exposed to online risks if they had higher ‘online privacy concerns’ than the children with higher ‘digital literacy’ who are more exposed to online risk. Results of the study show that engaging in safe online behaviour requires children to have a high perception regarding severity of online risks as well as knowledge of online privacy concerns. Online risks and opportunities occur in parallel. Consequently, the factors that increase or decrease risk may also increase or decrease the benefits

What makes a bully a cyberbully? Unravelling the characteristics of cyberbullies across twenty-five European countries

The characteristics of bullies who act face-to-face and those who do so in cyberspace were compared directly in one sample across twenty-five countries. The role of cross-country differences in technological infrastructure was also explored. Cyberbullies compared to face-to-face bullies were more likely to engage in risky online activities, spend more time online, and found it easier to be themselves online. Private access to the internet did not make a difference. Gender differences showed girls more likely to be cyber- than face-to-face bullies if they have a profile on a social networking site. Age and internet ability beliefs were also positively but not independently associated with cyberbullying. Cross-country differences were small and patterns remained mostly stable across countries, suggesting that individual and not country-level characteristics are pivotal in explaining cyberbullying

Technology as a disruptive agent: Intergenerational perspectives

YesThis study explores how British South Asian parents perceive their children’s technology consumption through their collectivist lenses and interdependent values. The findings for this qualitative study indicate that second and third generation South Asian parents acknowledge the benefits of children’s technology use; but largely perceive technology as a disruptive agent, whereby children are becoming isolated and increasingly independent within the household. The analysis aims to understand how parents view their children’s relationship with others as a result of technology consumption. Accordingly, this paper proposes an extension of the Construal of self conceptualisation and contributes a Techno-construal matrix that establishes a dyadic connection between technology consumption and cultural values. Overall, the study reveals that children display less inter-reliance and conformance typically associated with collectivist cultures, resulting from their technology use. Consequently, parents interpret their children’s shift from interdependence to more independence as a disruptive and unsettling phenomenon within the household

Spezialisierung und Unternehmenserfolg im verarbeitenden Gewerbe Deutschlands

Der Wandel der Produktions- und Nachfragebedingungen verlangt von Unternehmen immer wieder Anpassungen ihrer Produktpalette. Auf der Basis von repräsentativen Mikrodaten der amtlichen Statistik werden hier diese Anpassungen in Beziehung zum Erfolg und zum Wachstum der Unternehmen gesetzt. Es wird gezeigt, dass die Mehrzahl der Unternehmen im verarbeitenden Gewerbe in Deutschland eine Spezialisierungsstrategie verfolgt. Sie konzentrieren sich auf die Erstellung und Vermarktung immer weniger Produkte. Damit steigern diese Unternehmen vor allem ihren operativen Gewinn. Unternehmen mit steigender Produktvielfalt, die eine Diversifizierungsstrategie verfolgen, erweisen sich dagegen als deutlich wachstumsstärker. Jedoch nicht alle Unternehmen, die eine Spezialisierungsstrategie verfolgen, sind erfolgreich und nicht alle Unternehmen, die ihre Produktpalette ausweiten, wachsen. Entsprechend zeigen sich auch Abweichungen von den generellen Ergebnissen, wenn man einzelne Wirtschaftzweige, Größenklassen oder Regionen betrachtet. Abstract The change of production and demand conditions requires continues adjustments of the product portfolio of enterprises. Based on representative micro data of official surveys for Germany these adjustments are set here in relationship with the success of enterprises. It can be shown that the majority of the enterprises in manufacturing is pursuing a specialization strategy. They concentrate on a decreasing number of products, increasing above all their operating surplus. Contrary, enterprises that pursue a diversification strategy prove against it as clearly growth-oriented. However, not all enterprises, which pursue a specialization strategy, are successful and not all enterprises, which expand their product range, are growing. Accordingly also deviations from the general results show up, if one regards individual industries, size classes or regions. JEL-Codes: L60, L25, R3