PurposeAll entrepreneurs interact simultaneously with multiple entrepreneurial contexts throughout their entrepreneurial journey. This conceptual paper has two central aims: (1) it synthesises the current literature on gender and entrepreneurship, and (2) it increases our understanding of how gender norms, contextual embeddedness and (in)equality mechanisms interact within contexts. Illustrative contexts that are discussed include entrepreneurship education, business networks and finance.Design/methodology/approachThis conceptual paper draws upon extant literature to develop its proposed conceptual framework. It provides suggestions for systemic policy interventions as well as pointing to promising paths for future research.FindingsA literature-generated conceptual framework is developed to explain and address the systemic barriers faced by opportunity-driven women as they engage in entrepreneurial contexts. This conceptual framework visualises the interplay between gender norms, contextual embeddedness and inequality mechanisms to explain systemic disparities. An extra dimension is integrated in the framework to account for the power of agency within women and with others, whereby agency, either individually or collectively, may disrupt and subvert the current interplay with inequality mechanisms.Originality/valueThis work advances understanding of the underrepresentation of women entrepreneurs. The paper offers a conceptual framework that provides policymakers with a useful tool to understand how to intervene and increase contextual embeddedness for all entrepreneurs. Additionally, this paper suggests moving beyond “fixing” women entrepreneurs and points towards disrupting systemic disparities to accomplish this contextual embeddedness for all entrepreneurs. By doing so, this research adds to academic knowledge on the construction and reconstruction of gender in the field of entrepreneurship.
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The moment of casting is a crucial one in any media production. Casting the ‘right’ person shapes the narrative as much as the way in which the final product might be received by critics and audiences. For this article, casting—as the moment in which gender is hypervisible in its complex intersectional entanglement with class, race and sexuality—will be our gateway to exploring the dynamics of discussion of gender conventions and how we, as feminist scholars, might manoeuvre. To do so, we will test and triangulate three different forms of ethnographically inspired inquiry: 1) ‘collaborative autoethnography,’ to discuss male-to-female gender-bending comedies from the 1980s and 1990s, 2) ‘netnography’ of online discussions about the (potential) recasting of gendered legacy roles from Doctor Who to Mary Poppins, and 3) textual media analysis of content focusing on the casting of cisgender actors for transgender roles. Exploring the affordances and challenges of these three methods underlines the duty of care that is essential to feminist audience research. Moving across personal and anonymous, ‘real’ and ‘virtual,’ popular and professional discussion highlights how gender has been used and continues to be instrumentalised in lived audience experience and in audience research.
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This article investigates gender bias in narratives generated by Large Language Models (LLMs) through a two-phase study. Building on our existing work in narrative generation, we employ a structured methodology to analyze the influence of protagonist gender on both the generation and classification of fictional stories. In Phase 1, factual narratives were generated using six LLMs, guided by predefined narrative structures (Hero's Journey and Heroine's Journey). Gender bias was quantified through specialized metrics and statistical analyses, revealing significant disparities in protagonist gender distribution and associations with narrative archetypes. In Phase 2, counterfactual narratives were constructed by altering the protagonists’ genders while preserving all other narrative elements. These narratives were then classified by the same LLMs to assess how gender influences their interpretation of narrative structures. Results indicate that LLMs exhibit difficulty in disentangling the protagonist's gender from the narrative structure, often using gender as a heuristic to classify stories. Male protagonists in emotionally driven narratives were frequently misclassified as following the Heroine's Journey, while female protagonists in logic-driven conflicts were misclassified as adhering to the Hero's Journey. These findings provide empirical evidence of embedded gender biases in LLM-generated narratives, highlighting the need for bias mitigation strategies in AI-driven storytelling to promote diversity and inclusivity in computational narrative generation.
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Narrative structures such as the Hero’s Journey and Heroine’s Journey have long influenced how characters, themes, and roles are portrayed in storytelling. When used to guide narrative generation in systems powered by Large Language Models (LLMs), these structures may interact with model-internal biases, reinforcing traditional gender norms. This workshop examines how protagonist gender and narrative structure shape storytelling outcomes in LLM-based storytelling systems. Through hands-on experiments and guided analysis, participants will explore gender representation in LLM-generated stories, perform counterfactual modifications, and evaluate how narrative interpretations shift when character gender is altered. The workshop aims to foster interdisciplinary collaborations, inspire novel methodologies, and advance research on fair and inclusive AI-driven storytelling in games and interactive media.
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The past two decades, a disproportionate growth of females entering the criminal justice system and forensic mental health services has been observed worldwide. However, there is a lack of knowledge on the background of women who are convicted for violent offenses. What is their criminal history, what are their motives for offending and in which way do they differ from men convicted for violent offenses? In this study, criminal histories and the offenses for which they were admitted to forensic care were analyzed of 218 women and 218 men who have been treated between 1984 and 2014 with a mandatory treatment order in one of four Dutch forensic psychiatric settings admitting both men and women. It is concluded that there are important differences in violent offending between male and female patients. Most importantly, female violence was more often directed towards their close environment, like their children, and driven by relational frustration. Furthermore, female patients received lower punishments compared to male patients and were more often considered to be diminished accountable for their offenses due to a mental illness.
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Background: The Strengths and Difficulties Questionnaire (SDQ) is widely used to screen for psychosocial problems among adolescents. As the severity of such problems is known to be related to age and gender, screening could be improved by interpreting SDQ scale scores with age-specific and perhaps gender-specific norms. Up to now, such norms are lacking. The aim of the current study is to present gender-specific and joint normative data per year of age for the Dutch self-reported and parent-reported SDQ versions for use among 12- to 17-year-old adolescents. Methods: The norm groups for the self-reported and parent-reported SDQ versions consisted of 993 adolescents and 736 parents, respectively, from the general Dutch population. Per SDQ version, both gender-specific norms and joint norms (percentiles and cutoffs) per year of age were calculated through regression-based norming (Rigby in J Roy Stat Soc Ser C 54:507, 2005). Additionally, these norms were compared to the widely used British norms that are neither age-specific nor gender-specific. Results: By design, gender-specific ‘abnormal’ cutoffs (i.e., cutoffs aimed at identifying max. 10% of the most extremely scoring males and max. 10% of the most extremely scoring females) resulted in about equal percentages of ‘abnormal’ scoring male and female adolescents per SDQ scale. In contrast, joint ‘abnormal’ cutoffs (i.e., cutoffs aimed at identifying max. 10% of the most extremely scoring adolescents) resulted in relatively more male (7.6 to 13.6%, depending on age) than female (3.3 to 8.9%, depending on age) adolescents as scoring ‘abnormal’ on scales measuring externalizing behavior (self-reported and parent-reported SDQ versions), and relatively more female (3.9 to 14.3%, depending on age) than male (1.8 to 6.9%, depending on age) adolescents as scoring ‘abnormal’ on scales measuring internalizing behavior (self-reported SDQ version). In both types of norms, minor age effects were present. Among Dutch adolescents, the British norms yielded detection rates much lower than the expected 10%. Conclusions: Our findings indicate that detection rates depend on the reference group that is used (British or Dutch general adolescent population; specific gender group or not). The normative data in this paper facilitate the comparison of an adolescent’s scores to different reference groups, and allow for cross-country/cultural comparisons of adolescents’ psychosocial behavior.
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Introduction: Acker's description of the ideal worker as “unencumbered with caring responsibilities and ready to devote his life to his job” (Acker, 2006a, p. 69) becomes haunting when considered in the context of a global health crisis. When, on a global scale, human life became more vulnerable, care needs increased exponentially, and organizations demanded intense effort in their clamor for survival. Acker's (1990, 1998) ideal worker concept has captured the intellectual imagination of contributors to Gender, Work and Organization (GWO) for decades (Adkins, 2019; Pocock, 2005; Pullen et al., 2019). In this Special Issue of GWO we apply the ideal worker concept to the context of the COVID-19 pandemic to expose how implicit ideals about who workers are and what workers do interact with unprecedented organizational crisis management and other large-scale changes in practices and processes
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Tipping behavior is a vital way for waiting staff to enhance their wages, and for managers to monitor guest satisfaction. Despite its importance, there is not yet an established consensus on reasons why people tip. Our lack of understanding about tipping behavior is exacerbated by a strong reliance on studies conducted in countries that have a system of voluntary tipping (e.g., the United States). The study aims therefore at expanding our understanding of tipping behavior beyond voluntary tipping countries and more specifically explaining tipping behavior under service-inclusive pricing. Data obtained from 1458 guests in five European countries show that income and payment method are the strongest predictors of customers’ decision to tip, whereas bill size is the most robust predictor of tip amount. Results advance knowledge by suggesting that social norm theory plays a major role to understand tipping behavior in service-inclusive pricing.
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"Background: Victimization is highly prevalent in individuals with mild intellectual disability (MID) or borderline intellectual functioning (BIF) and is an important risk factor for mental health problems and violent behavior. Not much is known, however, about victimization history in women with MID-BIF admitted to forensic mental health care. Aims: The aim of this multicenter study is to gain insight into victimization histories and mental health problems of female forensic psychiatric patients with MID-BIF. Methods: File data were analyzed of 126 women with MID-BIF who have been admitted to one of five Dutch forensic psychiatric hospitals between 1990 and 2014 and compared to data of 76 female patients with average or above intellectual functioning and to a matched sample of 31 male patients with MID-BIF. Results: All forensic paients had high rates of victimization, but women with MID-BIF showed an even higher prevalence of victimization during both childhood and adulthood and more complex psychopathology compared to female patients without MID-BIF. Compared to male forensic patients with MID-BIF, women with MID-BIF were more often victim of sexual abuse during childhood. During adulthood, the victimization rate in these women was more than three times higher than in men. Conclusions: Victimization is a salient factor in female forensic patients with MID-BIF and more gender-responsive trauma-focused treatment is needed."
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Customer-supplier relationships are becoming more digital. However, a personal approach still seems to be a key success factor in the service journey, creating an optimal customer experience. In this research, we investigated the effects of a personal communication approach on customer experience and customer relationship. The personal touch was operationalised in two studies focusing on written forms of communication (Study 1) and spoken forms of communication (Study 2) amongst customers of an energy company. Both studies show that a personal tone of voice in customer contact results in a more positive customer experience (in terms of consumption emotions, customer satisfaction and recommendation intention). However, it does not impact the long term relationships between service provider and customers. Customers do not adjust previously built relationship norms when they are approached in a more or less personal way, as long as the chosen approach does not violate relationship norms. The research is relevant for organisations interested in the effects of a more personal approach in customer contact. The paper combines existing theories on customer experience and customer communication with the existing theories on relational models.
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