Search results

Technology-facilitated violence and abuse including image-based sexual abuse (IBSA) is a phenomenon affecting women and girls around the world. Abusers misuse technology to attack victims and threaten their safety, privacy, and dignity. This abuse is gendered and a form of domestic and sexual violence. In this article, the authors compare criminal law approaches to tackling IBSA in Scotland and Malawi. We critically analyze the legislative landscape in both countries, with a view to assessing the potential for victims to seek and obtain redress for IBSA. We assess the role criminal law has to play in each jurisdiction while acknowledging the limits of criminal law alone in terms of providing redress.

In recent years, the public sector has faced the challenge of digitalisation. This has significantly impacted the relationships between citizens and public organisations and, thus, it widely affects participatory processes, such as participatory budgeting (PB); in fact, digital tools (DTs) have emerged as a solution, increasing citizen engagement whilst improving efficiency, reducing costs and saving time. This contribution analyses PB in Rome, which is also implemented with DTs, seeking to understand how DTs impact citizens’ role in creating public value.

The study is based on a qualitative approach, precisely by analysing a descriptive and exploratory single case study of PB’s first adoption in Rome in 2019. The information is obtained from multiple sources and examined through document analysis.

In the Roman context, DTs in PB primarily facilitated cost-effective information sharing, offering citizens basic participation. Unfortunately, the potential for more interactive DTs was overlooked, failing to enhance citizen engagement in critical phases like deliberation, evaluation or monitoring. Therefore, the tools did not fully support citizens becoming co-creators of public value instead of just users in governance.

The novelty of this study lies in exploring the difference between the use of DTs that assist citizens/users in improving service quality and those that support citizens in creating a public and shared value. It ventures further to assess various tiers of participation, meditating on the digital elements that stimulate active engagement and value creation instead of simply expanding the participant pool or process efficiency.

Mentoring is an essential tool for teacher education, not least because it allows knowledge and experience sharing. Research findings suggest a close relationship between mentoring and the well-being of those involved. However, little is known about this relationship or the mechanisms involved. This paper aims to discuss the aforementioned issues.

Through an integrative literature review, important links between mentor and mentee well-being and certain aspects of mentoring are explored. The results of the review are then synthesised into a theoretical framework.

The framework developed here posits that the well-being of teachers relates to the quality of mentoring. This includes teachers' perceptions of mentoring and their decision to get involved, their contributions to functional mentor–mentee relationships and the selection and use of mentoring styles that support both mentor and mentee well-being. Moreover, the framework hypothesises that the quality of mentoring received by mentees is related to their well-being, which is in turn connected to their professional development. Most of these relationships appear to be bidirectional, meaning that mentee well-being also contributes to mentoring quality and mentor well-being. Finally, it is hypothesised that the well-being of both mentors and mentees is connected to the school context in which the mentoring takes place.

This work provides a novel, comprehensive framework for future examinations of the connections between well-being and mentoring. It synthesises the prior work on this topic by integrating findings from both the mentor and mentee perspectives into a single framework.

This study presents and validates a theoretical model linking individual characteristics of the founding or lead innovative entrepreneur of a start-up venture – the entrepreneur's values, entrepreneurial attitudes and entrepreneurial self-efficacy – to the firm's entrepreneurial orientation (EO) and market orientation (MO) and, ultimately, to firm performance.

We conducted a survey on a stratified random sample of founders of early-stage South Australian micro- and small enterprises with a response rate of 24% (N = 204). Structural equation modelling was used to evaluate the model.

The study found that there is a significant relationship between the individual lead entrepreneur and firm strategies developed in early-stage firms in explaining firm performance. It also found that internal values are positively related to entrepreneurial attitude. Entrepreneurial attitude is positively related to entrepreneurial self-efficacy and EO innovativeness. In turn, entrepreneurial self-efficacy is related to innovativeness, proactiveness and risk-taking. The proactiveness dimension of EO and entrepreneurial attitude is related to MO. Entrepreneurial self-efficacy, innovativeness and MO are related to firm performance.

This research was limited to entrepreneurial ventures in South Australia and may lack generalisability in other states and countries.

The research contributes to the understanding of the heterogeneity within self-employed individuals, in particular among innovative entrepreneurs, by expanding insights regarding antecedents and consequences of the entrepreneurial process. It develops insights into the links of individual-level constructs with firm-level constructs to develop a more meaningful understanding of new venture creation and performance. It enhances our knowledge of the heterogeneity within the group of self-employed by exploring the individual entrepreneurial antecedents of performance in early-stage firms.

This paper aims to investigate cross-gender effects of gender stereotypes in advertising. More specifically, it proposes that the negative effects found in studies of women’s reactions to stereotyped female portrayals should hold across gender portrayal and target audience gender.

In two experimental studies, the effects of stereotyped portrayals (vs non-stereotyped portrayals) across gender are compared.

The results show that advertising portrayals of women and men have a presumed negative influence on others, leading to higher levels of ad reactance, which has a negative impact on brand-related effects across model and participant gender, and for gender stereotypes in terms of physical characteristics and roles.

Whereas previous studies have focused on reactions of women to female stereotypes, the current paper suggests that women and men alike react negatively to stereotyped portrayals of other genders.

The results indicate that marketers can benefit from adapting a more mindful approach to the portrayals of gender used in advertising.

The addition of a cross-gender perspective to the literature on gender stereotypes in advertising is a key contribution to this literature.

The expanded reuse of images as research data in the social sciences and humanities necessitates the understanding of scholars’ real-life interactions with the type of data. The aim of this study is to analyse activities constituting image data interactions in social science and humanities research and to provide a model describing the data interaction process.

The study is based on interviews with 21 scholars from various academic backgrounds utilising digital and print images collected from external sources as empirical research data. Qualitative content analyses were executed to analyse image data interactions throughout the research process in three task types: contemporary, historical and computational research.

The findings further develop the task-based information interaction model (Järvelin et al., 2015) originally created to explain the information interaction process. The enhanced model presents five main image data interaction activities: Data gathering, Forming dataset, Working with data, Synthesizing and reporting and Concluding, with various sub-activities. The findings show the variety of image data interactions in different task types.

The developed model contributes to understanding critical points in image data interactions and provides a model for future research analysing research data interactions. The model may also be used, for example, in designing better research services and infrastructures by identifying support needs throughout the research process.