What We Think We Know About Cybersecurity: An Investigation of the Relationship between Perceived Knowledge, Internet Trust, and Protection Motivation in a Cybercrime Context

Individual internet users are commonly considered the weakest links in the cybersecurity chain. One reason for this is that they tend to be overoptimistic regarding their own online safety. To gain a better understanding of the cognitive processes involved in this assessment, the current study applies an extended version of the protection motivation theory. More specifically, this study includes perceived knowledge and internet trust to discover how these antecedents influence the threat and coping appraisal processes. Based on representative survey data collected from 967 respondents, we found that people who feel well-informed about online safety feel less vulnerable to cybercrime and are less inclined to take security measures. At the same time, feeling informed is associated with being more convinced of the severity of cybercrime. High levels of trust in the safety of the internet are linked to the feeling that one is less vulnerable to cybercrime and the perception that cybercrime is not a severe threat. Future interventions should remind internet users about their own perceived vulnerability and the risks that exist online while ensuring that internet users do not lose their trust in the internet and confidence in their own online knowledge

The relationship between dark triad personality traits and sexting behaviors among adolescents and young adults across 11 countries

Background: Sexting is an increasingly common phenomenon among adolescents and young adults. Some studies have investigated the role of personality traits in different sexting behaviors within mainstream personality taxonomies like Big Five and HEXACO. However, very few studies have investigated the role of maladaptive personality factors in sexting. Therefore, the present study investigated the relationship between Dark Triad Personality Traits and experimental (i.e., sharing own sexts), risky (i.e., sexting under substance use and with strangers), and aggravated sexting (i.e., non-consensual sexting and sexting under pressure) across 11 countries. Methods: An online survey was completed by 6093 participants (Mage = 20.35; SDage = 3.63) from 11 different countries which covered four continents (Europe, Asia, Africa, and America). Participants completed the Sexting Behaviors Questionnaire and the 12-item Dark Triad Dirty Dozen scale. Results: Hierarchical regression analyses showed that sharing own sexts was positively predicted by Machiavellianism and Narcissism. Both risky and aggravated sexting were positively predicted by Machiavellianism and Psychopathy. Conclusions: The present study provided empirical evidence that different sexting behaviors were predicted by Dark Triad Personality Traits, showing a relevant role of Machiavellian-ism in all kinds of investigated sexting behaviors. Research, clinical, and education implications for prevention programs are discussed

Toward the dynamic modeling of transition problems:the case of electric mobility

Transportation systems are transitioning to e-mobility, but scholars and policymakers are struggling to understand how to accomplish this transition effectively. In response, we draw on the technological innovation systems perspective and the unified theory of acceptance and use of technology to develop a theory-guided and entity-based simulation model to better understand, among others, electric vehicle (EV) adoption processes as a specific yet core element driving business innovation. By doing so, our model is among the first to capture and combine the macro-and microlevel interactions associated with the EV transition process. Our simulation results shed light on the impact of alternative innovation policies, notably by explaining relations between EV market dynamics and changes in e-mobility policies, such as EV-related subsidies and resource mobilization. As such, the simulation modeling approach adopted in this paper enables a more in-depth study of transition problems related to e-mobility. Notably, the resulting modular model can be adjusted to other e-mobility transition problems by changing the specified entities

Dynamism in policy-affiliated transition intermediaries

Transition intermediaries are actors that support socio-technical transition processes by bridging structural deficiencies in a transitioning domain. Previous research has identified what roles transition intermediaries perform and how. However, while transitioning domains are by definition in a state of change, the dynamics of transition intermediaries have hardly been studied. Therefore, we explore what mechanisms are driving change in transition-supportive roles of intermediaries, and what kind of conditions enable an intermediary to be dynamically adaptive in supporting a transitioning domain. These questions are addressed in a longitudinal case study of a major European intermediary in sustainable energy. We find this intermediary changed its transition support activities as a result of the frontline staff continually exploring the needs of transition stakeholders and designing new value offerings in response. These role dynamics are enabled by a structure where the policy principal delegates the choice of support activity and external accountability to the intermediary, which organizes itself in a customer-oriented manner. As such, we conclude that the dynamics in intermediaries’ transition activities arise from the interplay between policy mandate, organizational structure/design and staff agency

Studying transitions : Past, present, and future

The domain of transition studies has been drawing more and more scholarly attention and, as a result, its body of knowledge is rapidly growing. This raises new challenges as well as opportunities, not the least regarding the methodological and philosophical underpinnings of research in this domain. In this respect, transition research, as a relatively young field of inquiry, has been little concerned with methodological investigation and reflection. We propose a framework that enables this reflection: the so-called ‘transition research onion’. Subsequently, we utilize this framework to systematically assess 217 peer-reviewed papers in the field of transition studies, to distill key methodological patterns and trends of the field. The findings suggest that the methodology of transition studies, in terms of depth and diversity, is underdeveloped. These insights serve to guide future research on transition processes

Mapping, analyzing and designing innovation ecosystems

To achieve a complex value proposition, innovating firms often need to rely on other actors in their innovation ecosystem. This raises many new challenges for the managers of these firms. However, there is not yet a comprehensive approach that would support managers in the process of analysis and decision making on ecosystem strategy. In this paper, we develop a strategy tool to map, analyze and design (i.e., model) innovation ecosystems. From the scholarly literature, we distill the constructs and relationships that capture how actors in an ecosystem interact in creating and capturing value. We embed these elements in a visual strategy tool coined the Ecosystem Pie Model (EPM) that is accompanied by extensive application guidelines. We then illustrate how the EPM can be used, and conclude by exploring the multiple affordances of the EPM tool as a boundary object between research and practice.Peer reviewe