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The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error. Moreover, we establish its consistency and asymptotic normality.

To construct a root mean squared error (RMSE)-reduced estimator of the tail index, the authors used the semiparametric estimator of the underlying distribution function given by Wang (1989). This allows us to define the corresponding tail process and provide a weak approximation to this one. By means of a functional representation of the given estimator of the tail index and by using this weak approximation, the authors establish the asymptotic normality of the aforementioned RMSE-reduced estimator.

In basis on a semiparametric estimator of the underlying distribution function, the authors proposed a new estimation method to the tail index of Pareto-type distributions for randomly right-truncated data. Compared with the existing ones, this estimator behaves well both in terms of bias and RMSE. A useful weak approximation of the corresponding tail empirical process allowed us to establish both the consistency and asymptotic normality of the proposed estimator.

A new tail semiparametric (empirical) process for truncated data is introduced, a new estimator for the tail index of Pareto-type truncated data is introduced and asymptotic normality of the proposed estimator is established.

This paper critiques institutional whiteness and racial categorisation in UK higher education. This is done through the representation of the complex narratives of “mixed race” women navigating their PhD experiences in predominantly white institutions, when their identities have proximity to whiteness.

This study introduces five vignettes of “mixed race” women, gathered from a wider study of 27 PhDs and early career researchers in UK higher education. The paper employs Yuval-Davis’ framework of belonging and bell hooks' approach to chosen versus forced marginality to create a conceptual framework based on fluid agency and empowerment, recognising belonging as an ongoing process.

The findings reveal how “mixed race” women can occupy a liminal space between belonging to and rejecting racial categorisation, as they attempted to situate their self-identifications within the boundaries of institutional whiteness.

The study only utilises a small sample size of five counter-stories from a larger study on PhD career trajectories, limiting its empirical claims. It also only engages with “mixed race” women who have proximity to whiteness, encouraging research on different “mixed race” intersections.

This paper encourages more discussion around “mixed race” experiences of UK higher education and critical engagement with higher education’s reliance on statistical data to understand racialised communities.

This paper contributes new empirical insights into how whiteness is experienced when “mixed race” women negotiate their relation to it in UK higher education. It also provides theoretical advancements into understanding of institutional whiteness and critically engages with racial categorisation.

Preservice teachers (n = 39) described their definitions of patriotism and to what extent they believed statements from The 1619 Project (2019) and The 1776 Commission Report (2021) were patriotic.

This study employed a mixed-method survey including open-ended prompts requesting participants’ descriptions of patriotism and Likert scale prompts asking participants to agree/disagree with deidentified statements from The 1619 Project and the 1776 Commission Report. In vivo words reflecting emotional responses to patriotism and the statements informed the categorization process in a second round of coding.

Four categories of patriotism definition were identified. Identified were relationships between groups’ conceptualizations of patriotism and whether statements from history narratives were viewed as patriotic.

This article contributes to the field by exploring the intersectionality of the concept of patriotism with competing narratives regarding the foundation and growth of the United States.

The purpose of this study was to examine the preservice educational narratives of Black English teachers in an effort to determine their experiences within teacher education programs with assigned white cooperating teachers.

Drawing upon Black storytelling, testimony and breath in narrative analysis, this study showcases how Black preservice teachers navigated regularized surveillance and abandonment as part of student teaching practicum.

The authors argue that, in response to their treatment, these Black preservice teachers created resistance strategies as a way to fill the mentorship void and sustain their own future teaching careers.

The literature on Black preservice teachers does the critical work of examining how they experience their racial, linguistic and gendered identities in the classroom; however, this study focuses on their experiences with white cooperating teachers – an underresearched area in the past 10 years.

A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the academic community’s desire and intention to use AI conversational chatbot technology, with a particular focus on the leading ChatGPT.

This study uses a mixed method approach to explore the educators’ adoption of chatbots through an empirically validated model. The model, known as the “Educators’ Adoption of ChatGPT”, was developed by integrating the theoretical foundations of both the Unified Theory of Acceptance and Use of Technology and Status Quo Bias (SQB) frameworks, as well as insights gathered from interviews. The relationships within this model were then tested using a quantitative approach. The partial least squares-structural equation modelling method was used to analyse 243 valid survey responses.

The outcomes of the analysis indicated that perceived educators’ effort expectancy, educators’ autonomous motivation, perceived learners’ AI competency, perceived educators’ competency, innovative behaviour towards technological agility and perceived students’ engagement are significant determinants of educators’ intention to use chatbots. In contrast, perceived unfair evaluation of students, perceived students’ overreliance and perceived bias/inaccuracies were shown to have significant impacts on the resistance to use the technology, which typically implies a negatively significant influence on the educators’ use intention. Interestingly, perceived fraudulent use of ChatGPT was proven insignificant on the resistance to use chatbots.

This study makes a significant contribution to the field of educational technology by filling the gap in research on the use and acceptance of AI-enabled assistants in education. It proposes an original, empirically validated model of educator adoption, which identifies the factors that influence educators’ willingness to use chatbots in higher education and offers valuable insights for practical implementation.

The current study evaluated (1) characteristics of the community leadership development program associated with successful participant recruitment, (2) active ingredients that promoted fellow engagement and program completion and (3) how the program addressed blackness and racism.

Individual interviews were conducted with a representative subset of former program fellows.

Results indicated that offering training in small cohorts and matching fellows with individual mentors promoted program interest. Program strengths and unique ingredients included that the program was primarily led by people from the Black community, program malleability, and that the program was a partnership between fellows and leadership. Additionally, the program was responsive to fellows’ needs such as by adding a self-care component. Fellows also noted dedicated space and time to discuss race and racism. Results offer a unique theoretical perspective to guide leadership development away from the uniform or standardized approach and toward one that fosters diversity and equity in leadership.

Altogether, this work demonstrates how leadership development programs can be participant-informed and adapted to participants’ social and cultural needs.

This paper intervenes in existing literature on entrepreneurship and inequalities by proposing a novel reframing of intersectionality as a threshold concept, an important idea that enables us to deepen and progress the understanding of complex subjectivities.

Drawing from education studies, intersectionality is explored through the five key features of threshold concepts: (1) transformative, (2) irreversible, (3) integrative, (4) bounded and (5) troublesome. We offer a set of reflection questions for what we call “doing intersectionality.”

We develop a metacritique of the way in which the concept of intersectionality has thus far been treated in feminist theory and applied in entrepreneurship studies – namely, as the culmination of thinking about difference and inequality, decoupled from its roots in collectivist analysis and Black and anti-racist feminism. The paper invites scholars of entrepreneurial inequalities to both engage and look beyond an intersectional lens to better elucidate the range of historically emergent social hierarchies and systems of power that shape their phenomena of interest.

Through reframing intersectionality as a threshold concept, this paper challenges entrepreneurship researchers to view intersectionality as a foundational starting point for the conceptualisation of complex interactions of social structures, and the structural inequality and power relationships present within their research, rather than a destination.

Extant expatriate literature largely adopts a global north/western focus and expatriate-centric approach in investigating spousal/partners’ motives for supporting expatriation. Contrastingly, this study focuses on the lived experiences of dual-career female partners from an emerging global south economy and a patriarchal society as it relates to motives for supporting a partner’s international assignment (IA) to a developed country.

This investigation adopts a hermeneutic interpretive phenomenology research design. Twelve career-oriented female partners from an emerging global south economy (Brazil) who supported a partner’s IA to a developed country (USA) participated in this study. The data included semi-structured interviews and field notes.

The study indicates that societal constraints, gendered career experiences and career and life stage reasons influenced women’s decision to engage in career opt out and/or interruption in support of their partners' IA. Further, patriarchal long-lasting structures and ideologies shaped women’s career experiences; women perceived IAs as a means of acquiring embodied and institutionalized cosmopolitan capital for themselves and their families in order to gain a better position in a transnational/globalized world.

Although the sample size of this study is appropriate for the methodological choice adopted, future studies should include more participants and address different socioeconomic, political and cultural contexts.

This study highlights dual-career female partners' lived experiences in an emerging global south economy and a patriarchal society as it relates to motives for supporting IAs.

The outbreak of COVID-19 not only had serious negative impacts on the world economy but also on the global mental health because of the psychological disorders associated with the spread of the pandemic, the increased degree of uncertainty and the unprecedented measures taken by different countries to face the pandemic’s spread. This paper analyses the mental health well-being of individuals in selected MENA countries (Jordan, Morocco, Tunisia and Egypt) during the pandemic.

The study employs a pooled OLS model using the Economic Research Forum (ERF) COVID-19 MENA Monitor Survey panel dataset collected during 2020 and 2021.

The findings show that there is no association between the mental health of individuals in the selected countries and their age, gender, family size, marital status, receipt of social support and participation in care work. Mental health improved at higher levels of education, being employed, being a rural area resident and living in Morocco or Tunisia compared to living in Jordan while it worsened as income declined, food insecurity and anxiety about being infected with Covid-19 increased, being a resident in camps, and during waves 4 and 5. Based on these results, it is recommended that suitable financial, physical and human resources should be directed towards the provision of mental health care services in the region. Also, mental health care services should be accessible to different population groups, with a special focus towards the most vulnerable since they are more prone to mental illnesses, especially during health crises and economic shocks. This should be accompanied by increasing awareness about the provided services and reducing stigma against mental illnesses. Furthermore, introduction of policies targeted towards reducing food insecurity and income instability can play a key role in enhancing mental well-being.

Although few papers have previously investigated the impact of COVID-19 on mental health in MENA countries, most of them have focused on a country-level analysis and adopted a gender perspective. Hence, this paper aims at exploring the association between mental health well-being and socio-economic factors in selected MENA countries during the pandemic.

Even though trust is known for improving supply chain performance (SCP), previous studies have overlooked the investigation of its dimensions. Limited studies exist on the variations of the influence of trust dimensions in agribusiness supply chain relationships. This study examined the influence of trust dimensions on SCP in a developing country's context.

A cross-sectional study design was used to collect from 204 farmers and 192 traders (396 respondents) using a multistage sampling approach. Structural equation modeling was employed to analyze the hypothesized relationships.

Pooled sample results show that integrity and competence were the trust dimensions with significant effects on SCP, whereas competence was significant across different supply chains and markets, integrity and benevolence were only significant along fresh chains and in the contract market.

The extent of application of this study's findings is limited to situations similar to those of tomato and soybeans value chains in developing countries.

The paper contributes to a better understanding of the influence of trust dimensions on SCP across supply chains in different market typologies in agribusiness relationships in a developing country's context.