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The study aimed to assess whether transgender women, who were students at a university in London, England, faced hiring discrimination when seeking employment.

Three comparable university classmates—a cisgender woman, a cisgender man and a transgender woman—studying Engineering applied to the same job openings. Similarly, another set of three university classmates—a cisgender woman, a cisgender man and a transgender woman—studying Social Work applied to the same job openings. The degree of discrimination was quantified by calculating the difference in the number of interview invitations received by each group.

When three comparable university classmates apply for the same job openings, the rate of interview invitations differs based on gender identity. For cisgender women, the invitation rate is 31.3%, while for cisgender men, it stands at 35.1%. However, for transgender women, the rate drops significantly to 10.4%. Additionally, transgender women face further challenges in male-dominated sectors (STEM), where their chance of being invited for a job interview is even lower compared to those in female-dominated sectors, with a reduction of 8.7 percentage points. The study also reveals that firms with written equality policies on gender identity diversity show a 25.7 percentage point increase in invitation rates for transgender women compared to firms without such policies. Furthermore, the research highlights that negative beliefs among job recruiters regarding various aspects of transgender women, including their gender identity status, disclosure, job performance, vocational relationships and turnover, contribute to their exclusion from job interviews. Moreover, for transgender women who do receive interview invitations, these tend to be for lower-paid jobs compared to those received by cisgender women (by 20%) and cisgender men (by 21.3%). This wage sorting into lower-paid vacancies suggests a penalty in terms of lower returns on education, which could drive wage and income differences.

Transgender women received a higher number of job interview invitations when firms had written equality policies on gender identity diversity. This outcome can help policymakers identify actions to reduce the exclusion of transgender people from the labour market.

The study gathers information from job recruiters to quantify the roots of hiring discrimination against transgender women. It also enables an examination of whether workplaces' written equality policies on gender identity diversity are related to transgender women’s invitations to job interviews.

This research explores the link between job redesign and skilling in three Lebanese service provider industries, aiming to understand how these factors affect organizational agility, a crucial factor for efficiency and effectiveness and promote long-term interventions through job redesign, upskilling and reskilling.

This study employed two surveys, one for personnel (employees) and one for human aid managers (HR managers). These surveys collected data from 384 employees and 67 HR managers. The study utilized a work design questionnaire (WDQ), skilling application evaluation and the change acceptance model and testing to evaluate job redesign, skilling application effectiveness, technology acceptance and change readiness.

It was revealed that there is a significant and positive relationship between job redesign and the application of skilling programs. This relationship was shown to enhance organizational agility, with a particular focus on employees' technology acceptance and readiness for change. The integrated framework that combines job redesign, upskilling and reskilling was empirically tested and found to enable organizations to build their agility. The study also identified challenges and offered solutions for implementation, emphasizing the importance of employee responsiveness.

This research emphasizes the need for organizations to adapt job designs and enhance employee skills to enhance organizational agility, recommending a structured approach that combines job redesign and skill development efforts.

This research integrates job redesign, upskilling and reskilling in Lebanese service provider industries, contributing to organizational change and workforce development. It emphasizes technology acceptance and readiness for change.

The purpose of this study is to explore the perspectives of Generation Z college students regarding the job selection process, as well as the impact of digital technology on their career choices and job search endeavors.

Using the grounded theory methodology, the study used in-depth interviews with 15 participants to investigate the research inquiries.

The study identified six emerging themes related to the career aspirations of Generation Z students. The authors generated a job selection process model of Generation Z based on participants’ accounts of their recent job search experience. The model portrays the decision-making process performed by Generation Z job seekers while determining their career path.

To enhance comprehension of the job selection process among Generation Z individuals, future studies should incorporate a broader range of participants encompassing diverse cultural, social and economic backgrounds. Scholars have the potential to examine the relationships between Generation Z job seekers’ job selection, job performance and job satisfaction through a quantitative approach.

The six themes pertaining to optimal jobs for Generation Z can assist HR professionals in enhancing their understanding of the emerging pool of young and talented individuals. The utilization of the four-stage job selection process model may serve as a valuable tool for college career service professionals in the enhancement of tailored training programs.

This empirical study examines Generation Z job seekers’ attitudes toward their future profession, their perceptions of ideal occupations and the influence of technology on their search, preparation and selection processes for future careers.

Mentoring supports children, adolescents and young adults on their career paths and presents an important extracurricular educational format. The COVID-19 pandemic created a strong impetus for the deployment of virtual mentoring programs (VMPs), in which mentors and mentees communicate completely or predominantly through information and communication technologies (ICTs). Because it is unclear whether VMPs remain an attractive offer to mentors and mentees in post-pandemic times, this study aims to investigate the specific motivations of mentors and mentees to participate in VMPs and to draw conclusions about the effective design of VMPs.

In a qualitative study, the authors recruited 200 university students for an online survey, in which participants provided text responses regarding their motivations to participate in a youth or academic VMP as a mentor or mentee.

Potential mentors and mentees expect social components in VMPs. However, the results suggest that participants expect less psychosocial compared to career-related support from virtual mentoring, expect meaningful connections to be established only to a certain extent and do not expect role modeling from mentors. Furthermore, participants voiced mixed opinions about the virtual nature of mentoring programs, revealing a general field of tension (i.e. virtuality improves flexibility vs virtuality impairs relationship building). On this basis, design suggestions regarding VMPs are provided.

This study expands existing knowledge about VMPs by analyzing relevant factors when forming the intention to participate in a mentoring program, considering both youth and academic mentoring.

This study explores the under-researched phenomenon of workplace bullying against women in male-dominated Pakistani society, highlighting its severe impacts and bridging the research gap on intersectional effects of gender and cultural dynamics in developing countries.

Using a mixed-method research approach, we conducted two-wave surveys with 308 female workers in Pakistan's educational and health sectors. Data analysis examined relationships between workplace bullying and job outcomes like productivity and satisfaction, complemented by insights from in-depth interviews with 18 female workers.

The study reveals that workplace bullying significantly undermines job productivity, increases emotional exhaustion mediated by job anxiety and decreases job satisfaction among female workers. Bullying persists due to weak institutions and inadequate law enforcement, with perceived social support found to be an insignificant moderator.

The study findings underscore the economic implications of workplace bullying, as it drives female workforce attrition, hindering economic development. The study recommends conflict resolution strategies, effective HR policies, national law enforcement and supportive social networks to combat bullying and create a conducive work environment.

This study aligns with the UN's SDG goals #5 (gender equality) and #8 (decent work and economic growth), addressing pertinent issues related to workplace bullying in pursuit of these global objectives.

This study represents a unique attempt to address the intersectional dynamics of gender and culture concerning workplace bullying in Pakistan.

Drawing on the signaling theory and technology acceptance model, the main purpose of this study was to predict prospective employees' intentions to apply for jobs in a firm, with a special focus on the mediating role of attitudes toward corporate websites and the moderating role of perceived value fit.

Collecting data from a convenient sample of 318 prospective job candidates, the research hypotheses were tested using structural equation modeling (SEM) with AMOS (version 24) and SPSS Process Macro (version 3.4).

The test results revealed that prospective employees' attitudes toward corporate websites partially mediate the association of corporate reputations, perceived ease of use and perceived usefulness with their intentions to apply for jobs in an organization. Noticeably, perceived value fit moderated the perceived usefulness–application intentions link in such a way that the impact of perceived usefulness on intentions to apply appears higher for individuals with a low level (than a high level) of perceived value fit.

Consistent with the research findings, a notable theoretical contribution and practical implications for HR professionals have been discussed. This paper ends with outlining some limitations and future research directions.

Despite having the salient buffering effects of perceived value fit on the applicant attraction process, empirical study on this theoretical phenomenon is still sparse in a pre-employment context. This may be the first study that demonstrates under what circumstances prospective employees' job pursuit intentions could be optimized in respect of their perceived value fit within a single framework comprised of two theories.

The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies. Simultaneously, academia is challenged to design, offer and quickly scale academic programmes in line with industry needs and train new generations of AI professionals. Therefore, identifying and structuring AI competencies is necessary to effectively overcome the AI competence shortage.

A probabilistic topic model was applied to explore the AI competence categories empirically. The authors analysed 1159 AI-related online job ads published on LinkedIn.

The authors identified five predominant competence categories: (1) Data Science, (2) AI Software Development, (3) AI Product Development and Management, (4) AI Client Servicing, and (5) AI Research. These five competence categories were summarised under the developed AI competence framework.

The AI competence framework contributes to clarifying and structuring the diverse AI landscape. These findings have the potential to aid various stakeholders involved in the process of training, recruiting and selecting AI professionals. They may guide organisations in constructing a complementary portfolio of AI competencies by helping users match the right competence requirements with an organisation's needs and business objectives. Similarly, they can support academia in designing academic programmes aligned with industry needs. Furthermore, while focusing on AI, this study contributes to the research stream of information technology (IT) competencies.

The purpose of this study is to provide an overview of artificial intelligence (AI) in the talent management sphere. The study seeks to contribute to the body of knowledge with respect to human resource management and AI by conducting a literature review on the integration of AI in talent management, synthesising existing approaches and frameworks, as well as emphasising potential benefits.

The study adopts desk research, computational literature review (CLR) and uses topic modelling [with bidirectional encoder representations from transformers (BERTopic)] to throw light on the diffusion of AI in talent management.

The study’s main finding is that the area of AI in talent management is on the verge of gradual development and is in tandem with the growth of AI. We deduced that there is a link between talent management practices (planning, recruitment, compensation and rewards, performance management, employee empowerment, employee engagement and organisational culture) and AI. Though there are some known fears with regards to using the innovation, the benefits outweigh the demerits.

The current study has some limitations. The scope and size of the sample are the primary limitations of this study. No form of qualitative analytics was used in this study; as a result, the information obtained was limited. The study provides a snapshot of AI in talent management and contributes to the lack of literature in the joint fields. Also, the study provides practitioners and experts an overview of where to target investments and resources if need be.

The originality of this study comes from the combination of CLR methods and the use topic modelling with BERTopic which has not been used by previous reviews. In addition, the salient machine learning algorithms are identified in the study, which other studies have not identified.

Drawing on the integrative perspective of the technology acceptance model (TAM) and theory of planned behaviour (TPB) and extending it further by examining the role of organisational facilitators and perceived HR effectiveness in this integrative perspective, we examine HR professionals’ AI-augmented HRM (HRM^(AI)) acceptance in this research.

The data (N=375) were collected from HR professionals working in different organisations in India. Structural equation modelling (SEM) was employed to analyse the data.

The results of the study suggest that along with organisational facilitator antecedents to the relevant components of both TAM and TPB, perceived HR effectiveness also enhanced the HRM^(AI) acceptance levels of HR professionals.

The research findings are expected to contribute to the understanding of the factors that influence the acceptance of AI-augmented HRM in organizations. The results may also help organisations to identify the facilitators that can enhance the adoption and implementation of AI-augmented HRM by HR professionals. Finally, the study provides a composite TAM-TPB theoretical framework that can guide future research on the acceptance of AI-augmented HRM.

To the best of our knowledge, this is one of the first attempts to factor in the effect of contextual factors (i.e. organisational facilitators and perceived HR effectiveness) in the TAM and TPB equations.

Warehouses are under pressure to operate as efficiently as possible. In pursuit of attaining high efficiency in the order picking process, the warehouse manager must take several planning decisions, typically supported by a central planning system. However, highly centralised work erodes the autonomy of warehouse workers, interfering with worker well-being and productivity. This study holistically explores the impact of a work system with more decision autonomy for order pickers.

We conduct a unique field experiment in a real-world warehouse and use a within-subjects design to compare two work systems, one with worker autonomy and one without. 18 permanent employees participate in our study, in which we measure both psychosocial and physical well-being as well as productivity. Post-experimental interviews are conducted to delve deeper into the observed effects.

Our study illustrates that involving order pickers in operational decisions can benefit their job satisfaction and motivation without compromising productivity. Although we fail to find significance at the conventional level (α = 0.05), we do find marginally significant effects of our treatment on physical well-being aspects. Furthermore, our intervention invoked a highly positive user experience.

We show that slightly loosening tight process control results in organisational and individual benefits without endangering smooth operational flows. The warehouse in this paper acknowledged this and decided to permanently work according to this philosophy.

This study is the first to holistically explore the effects of a participatory work setting in a real-world warehouse.