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The prevalence of exposure to adversity is elevated in autistic populations, compared to neurotypical peers. Despite this, the frequency and nature of early adverse experiences are not well understood in autistic adults, with several underlying methodological limitations in the available literature. The purpose of this study is to systematically synthesise and analyse the prevalence of childhood adversity in this marginalised population, in accordance with the adverse childhood experiences (ACEs) framework.

Peer-reviewed empirical research articles were systematically searched for from electronic databases and screened against established inclusion criteria. Pooled prevalence rates for individual ACE types were calculated.

Four papers were included (N = 732), all of which used a predominantly or exclusively female sample. Only sexual abuse was reported in all papers, with a pooled prevalence rate of 38%. Physical abuse and emotional abuse were less frequently explored, with two papers reporting on these ACEs, though obtained comparable and higher pooled prevalence rates (39% and 49%, respectively). Pooled prevalence rates could be calculated for neither neglect nor “household” ACEs because of insufficient data. The limited state of the evidence, in conjunction with high levels of heterogeneity and poor sample representativeness found, positions the ACEs of autistic adults as a critical research priority.

To the best of the authors’ knowledge, this study is the first to systematically synthesise the prevalence of early childhood adversities, as conceptualised in accordance with the ACEs framework, in adults with autistic traits.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

This study aims to investigate the relationship between individual-level psychological resources and team resilience in the context of expatriate project management teams. It seeks to understand how personal psychological resources contribute to team resilience and explore the dynamic evolution mechanism of team resilience. The goal is to enhance team resilience among expatriates in a BANI (Brittle, Anxious, Nonlinear, and Incomprehensible) world, where organizations face volatile and uncertain conditions.

An online survey was applied for data collection, and 315 valid samples from Chinese expatriates in international construction projects were utilized for data analysis. A structural equation model (SEM) examines the relationships between personal psychological resources and team resilience. The study identifies five psychological factors influencing team resilience: Employee Resilience, Cross-cultural Adjustment, Self-efficacy, Social Support, and Team Climate. The hypothesized relationships are validated through the SEM analysis. Additionally, a fuzzy cognitive map (FCM) is constructed to explore the dynamic mechanism of team resilience formation based on the results of the SEM.

The SEM analysis confirms that employee resilience, cross-cultural adjustment, and team climate positively impact team resilience. Social support and self-efficacy also have positive effects on team climate. Moreover, team climate is found to fully mediate the relationship between self-efficacy and team resilience, as well as between social support and team resilience. The FCM model provides further insights into the dynamic evolution of team resilience, highlighting the varying impact effects of antecedents during the team resilience development process and the effectiveness of different combinations of intervention strategies.

This study contributes to understanding team resilience by identifying the psychological factors influencing team resilience in expatriate project management teams. The findings emphasize the importance of social support and team climate in promoting team resilience. Interventions targeting team climate are found to facilitate the rapid development of team resilience. In contrast, interventions for social support are necessary for sustainable, long-term high levels of team resilience. Based on the dynamic simulation results, strategies for cultivating team resilience through external intervention and internal adjustment are proposed, focusing on social support and team climate. Implementing these strategies can enhance project management team resilience and improve the core competitiveness of contractors in the BANI era.

The Great Resignation has led to a significant increase in the number of people quitting their jobs due to reasons such as stagnant wages, rising cost of living, job dissatisfaction and safety concerns. Therefore, the aim of this study is that it is important to help people develop better cognitive resources to face adversity.

The Great Resignation has led to a significant increase in the number of people quitting their jobs due to reasons such as stagnant wages, rising cost of living, job dissatisfaction and safety concerns. Therefore, it is important to help people develop better cognitive resources to face adversity. In this study, we administered a questionnaire to 250 employees to determine the variables that could help them build cognitive resources. These variables included the satisfaction of basic psychological needs (autonomy, competence and affiliation), psychological capital, motivation regulation (within the self-determination theory) and well-being (assessed by self-esteem, positive emotions, positive automatic thoughts and vitality). The results revealed that satisfaction of basic needs is associated with better psychological capital and more self-autonomous behavior, which leads to higher psychological well-being. These findings are discussed in the paper, emphasizing the importance of management and work context that satisfy the basic needs and help to build resources with psychological capital.

The results revealed that satisfaction of basic needs is associated with better psychological capital and more self-autonomous behavior, which leads to higher psychological well-being. These findings are discussed in the paper, emphasizing the importance of management and work context that satisfy the basic needs and help to build resources with psychological capital.

Highlight the importance of consequences of the Great Resignation and the need to internationalize this concept.

The purpose of this paper is to meet Dr Joyce Shaffer, PhD, ABPP, Clinical Associate Professor at the University of Washington.

This case study is presented in two sections: a positive autoethnography written by Joyce Shaffer, followed by her answers to ten questions.

In this positive autoethnography, Shaffer shares her life story and reveals numerous mental health and positive aging recommendations and insights for us to reflect on.

This is a personal narrative, albeit from someone who has been a clinical psychologist and active in the field of aging for many decades.

A pragmatic approach to aging is recommended. According to Shaffer, “those of us who can recognize the beat of the historical drummer can harvest the best of it and learn from the rest of it.”

Positive aging has strong social implications. Shaffer considers that it is not only about maximizing our own physical, mental, emotional and social health but also about maximizing that of others, to make our world a better place for everyone.

Positive aging can be experienced despite adversity. As Shaffer says, “Adversity used for growth and healed by love is the answer.”

This qualitative study aims to explore the experiences of Taiwan’s community-based long-term care service stations.

Semi-structured interviews were conducted with eight managers selected from stations located in the counties with the highest proportion of elderly people.

The results are as follows: the main services offered by the stations include health promotion activities, congregate meal programs, respite care and making house calls; government subsidies constitute a major proportion of the service stations’ funds, followed by user payments and external donations; the adversities encountered include frequent policy revisions, the dwellers’ reluctance to participate in the activities, manpower shortages and subpar service quality; and the effects of the stations on the community include achieving aging in place, providing more options for life after retirement, mitigating caregivers’ burden, expanding the elderly’s social networks and strengthening their health literacy.

The results of this research can understand the benefits and difficulties of Tier C service centers in Taiwan. Also, the practical experiences provide some suggestions for policies and training. Future studies can focus on establishing systematized training programs and standardizing the service personnel’s competence.

Women migrant street vendors are considered a vulnerable group in societies, thereby being hard hit during a crisis. This research aims to examine effects of COVID-19 social distancing on their businesses, consumption, health and general lives; solutions and mitigation strategies that they adopted in response to these adverse effects; and their recovery of socioeconomic lives after social distancing.

The data were collected from the women migrant street vendors in urban Vietnam. Descriptive statistics, probit model and ordered probit model were used for empirical analysis.

Women migrant street vendors faced immense challenges during social distancing. They also lacked solutions to sustain their businesses and were forced to resort to various mitigation strategies. Their socioeconomic lives were also slow to recover after social distancing. In addition, those experiencing greater business loss faced more adverse effects during social distancing and have more difficulties in the recovery of socioeconomic lives after social distancing.

This research highlights the importance of redesigning social policies to support women migrant street vendors during crises. It also emphasizes the need to formalize and legalize their activities to foster sustainable and inclusive development in the long term.

To the best of the authors’ knowledge, this research is among the first attempts to explore the effects of COVID-19 social distancing on the women migrant street vendors and to examine how they respond to these adverse effects.

As the risks and uncertainties faced by construction projects increase, the study of organizational resilience becomes more and more important for construction project management. Therefore, this study aims to deepen the understanding of the micro-mechanisms of organizational resilience in construction projects and explore the impact of employee resilience on organizational resilience.

By combining the conservation of resources, this study constructs the mechanism of employee resilience on organizational resilience in construction projects and considers the mediating role of task types. A partial least squares structural equation model (SEM) was used to test hypotheses based on data collected from 224 respondents.

The results show that employees' work resilience has a direct positive impact on the organizational resilience in construction projects and is also mediated by inter-team tasks. However, the psychological resilience of employees will have a direct adverse effect on the organizational resilience in construction projects and will be mediated by inter-team tasks and intra-team tasks.

This study verifies the impact mechanism of employee resilience on organizational resilience, including direct effects and indirect effects through different types of team tasks, and reveals the micro-mechanisms of using employee resources to build organizational resilience. This article sheds light on how project managers and employees can develop resilience to deal with the uncertainty and complexity of construction projects.

Based on the JD-R model and process-focused HRM perspective, this research paper aims to investigate the processes underlying the relationship between AI-enabled HR analytics and employee well-being outcomes (resilience) that received less attention in the AI-driven HRM literature. Specifically, this study aims to examine the indirect effect between AI-enabled HR analytics and employee resilience via job crafting, moderated by HRM system strength to highlight the contextual stimulus of AI-enabled HR analytics.

The authors adopted a time-lagged research design (one-month interval) to test the proposed hypotheses. The authors used two-wave surveys to collect data from 175 full-time hotel employees in China.

The findings indicated that employees' perceptions of AI-enabled HR analytics enhance their resilience. This study also found the mediation role of job crafting in the mentioned relationship. Moreover, the positive effects of AI-enabled HR analytics on employee resilience amplify in the presence of a strong HRM system.

Organizations that aim to utilize AI-enabled HR analytics to achieve organizational missions should also dedicate attention to its associated employee well-being outcomes.

This study enriched the literature with regard to AI-driven HRM in that it identifies the mediating role of job crafting and the moderating role of HRM system strength in the relationship between AI-enabled HR analytics and employee resilience.

The purpose of this study is to examine the factors that drive superior social enterprise performance for women-led social enterprises. The authors examined the role of individual entrepreneur cognitive characteristics contributing to social enterprise performance and recommended a framework for women's social entrepreneur development.

The authors conducted an exploratory qualitative study of 22 women founders of social enterprises using a semi-structured questionnaire. In-depth interviews were conducted, and the transcripts were analyzed using thematic content analysis.

This study found a significant impact of self-efficacy on the performance of social enterprises among the studied subjects. Social support in the form of material, information and emotional support enhanced the ability of women social entrepreneurs to better achieve business sustenance and continuance of operations. The business skills of the women social entrepreneurs led them to move from just social impact generators to becoming thought leaders. The strong prosocial motivation of the founders contributed to building their resilience in the face of adversity.

This study extended the existing theories on social entrepreneurship by bringing the dimensions of entrepreneurial resilience in driving social enterprise performance along with business skills. Thus, it provided an enhanced explanation to the existing body of knowledge on contributors to superior social enterprise performance.

This study gathered insights into the role of entrepreneurship education focused on business skills, especially for women social entrepreneurs in achieving superior performance for their social ventures. This also reconfirmed the role of social support and how structurally this could be provided by educational systems to aspiring women social entrepreneurs.

The practice of social entrepreneurship by women social entrepreneurs has been growing. Its importance in developing economies because of its ability to make grassroots changes at the lower levels of society was substantive. Women have shown more inclination toward social business with an affinity for prosocial contribution. By focusing on nurturing these social enterprises, governments as well as global agencies like the United Nations and the World Economic Forum could accelerate social change. Furthermore, support for the current women social entrepreneurs as change-makers making a difference in society could be achieved.

To the best of the authors’ knowledge, this research study was one of the first studies on women social entrepreneurs focusing on the factors of self-efficacy, social support and entrepreneurial resilience contributing to social enterprise performance. This study combined the social entrepreneurship intention theory with entrepreneurial resilience and business skills to understand the factors leading to successful social enterprise performance for women social entrepreneurs.