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Numerous studies have shown that minority workers are disadvantaged in the labour market due to stereotypes and discrimination. However, published research on résumé screening has overlooked the effects of multiple social categorisations pertaining to candidates' gender, education and origin. This study addresses this gap and examines whether the gender, the level of education and the national origin cues mentioned in the résumé affect the perceived employability of candidates.

This study employs an experimental between-subjects factorial design in that 12 résumés varying in gender, education and national origin were rated by 373 Portuguese working adults.

The results documented a gender premium as women were favoured in interpersonal and job skills but not in job suitability, and an education premium, since higher educated candidates were preferred despite their gender and origin. No meaningful interactions for gender × education × national origin were observed, which suggests that ingroup favouritism and outgroup discrimination in résumé screening can be averted.

The findings endorse a multidimensional view of perceived employability by investigating candidates' skills and job suitability from the viewpoint of the decision-makers, which extends our understanding of résumé-screening discrimination. This is critical to prevent hiring discrimination at an earlier career stage, which can increase youth employment and enhance the integration in the labour market of local minorities such as women, inexperienced workers and second-generation immigrants.

The aim of this paper is to explore how multi-national corporations (MNCs) can effectively adopt artificial intelligence (AI) into their talent acquisition (TA) practices. While the potential of AI to address emerging challenges, such as talent shortages and applicant surges in specific regions, has been anecdotally highlighted, there is limited empirical evidence regarding its effective deployment and adoption in TA. As a result, this paper endeavors to develop a theoretical model that delineates the motives, barriers, procedural steps and critical factors that can aid in the effective adoption of AI in TA within MNCs.

Given the scant empirical literature on our research objective, we utilized a qualitative methodology, encompassing a multiple-case study (consisting of 19 cases across seven industries) and a grounded theory approach.

Our proposed framework, termed the Framework on Effective Adoption of AI in TA, contextualizes the motives, barriers, procedural steps and critical success factors essential for the effective adoption of AI in TA.

This paper contributes to literature on effective adoption of AI in TA and adoption theory.

Additionally, it provides guidance to TA managers seeking effective AI implementation and adoption strategies, especially in the face of emerging challenges.

To the best of the authors' knowledge, this study is unparalleled, being both grounded in theory and based on an expansive dataset that spans firms from various regions and industries. The research delves deeply into corporations' underlying motives and processes concerning the effective adoption of AI in TA.

Previous research suggests that emotional intelligence (EI) may benefit managers when resolving conflicts. However, past studies relied on self-reports of EI and conflict management styles, and a theoretical model explaining the mechanisms of the link between EI and conflict management outcomes for managers is still missing. This study aims to test a theoretical model proposing that during conflicts, managers with higher performance-based ability EI are perceived as warmer and more competent, which in turn contributes to higher conflict management effectiveness.

A total of 108 Executive MBA students with managerial experience completed a performance-based EI test designed for the workplace and engaged in a conflict management exercise during which they were videotaped. In the exercise, managers spontaneously responded to video-based vignettes in which “employees” addressed them regarding a work-related conflict (e.g. a disagreement regarding tasks and working hours). Independent observers (n = 262) rated the managers’ videotaped responses on items tapping warmth, competence and conflict management effectiveness.

Managers with higher performance-based EI (in particular, emotion regulation in oneself and emotion management in others) received higher observer ratings on warmth, competence and conflict management effectiveness. Warmth and competence fully mediated the link between EI and effectiveness.

These results demonstrate that managers’ performance-based EI translates into actual work-related behaviors and outcomes. Implications for training EI and effective conflict management are discussed.

This study, based on signaling theory, examines the pre-recruitment employer branding strategy during the COVID-19 pandemic. It investigates the relationship between spontaneous word-of-mouth (WOM) recommendations for companies and prospective candidates' job application intentions. Specifically, the study explores serial mechanisms mediating the characteristics of company online career pages, including the perceived informativeness of online job advertisements (ads), candidates' preferences for its web approach to them and the company’s reputation.

Reflecting prospective candidates from students and young alumni of universities, partial least squares structural equation modeling (PLS-SEM) was employed on a sample of 737 individuals representing various fields of study from Greek universities.

The findings highlight the effectiveness of positive WOM recommendations during the initial stages of recruitment, particularly amidst COVID-19 challenges in the labor market, notably impacting young candidates. The study suggests that spontaneous WOM, originating from trustful sources, motivates job seekers to actively engage with the company’s web career channels, seeking information and favorable indications of the company’s approach toward its candidates. Positive WOM, combined with informative content and a friendly communication style, plays a critical role in shaping the company’s reputation. Consequently, this encouragement motivates individuals to start their job search efforts and consider applying for positions within the specific organization.

This research provides valuable empirical evidence in the pre-recruitment field, particularly in unforeseen crisis circumstances such as the COVID-19 pandemic. It examines how spontaneous, positive WOM from sources, like peers and alumni, significantly influences young job seekers' perceptions and preferences regarding the company’s career web channels as sources of information and signals about working conditions. The combination of positive WOM with informative content and a friendly communication style in the web approach plays a crucial role in shaping a positive company reputation. Consequently, this encourages candidates to consider applying for positions within the company.

This research contributes to pre-recruitment studies, especially amidst crises like COVID-19. It examines how positive WOM from trusted sources like peers and alma mater alumni influences young job seekers' views on the company’s career web channels. By emphasizing the importance of combining positive WOM with informative web content and a friendly communication style, the study offers insights into effective recruitment strategies. It highlights the significance of positive and spontaneous WOM in attracting young talent and its impact on job seekers' decision-making, even in uncertain conditions. Overall, it advances recruitment practices for attracting candidates.

This research explores and examines the change in perception artificial intelligence (AI) technology can bring in various human resources (HR) functions [(perception of change that AI can create in the talent acquisition (PAITA), perception of change that AI can create in the training and development (PAITD), perception of change that AI can create in the performance assessment (PAIPA) and perception of change that AI can create in the pay and rewards (PAIPR)] and its impact on intention to adopt AI by HR professionals. Additionally, as the literature on trust in AI is scanty, the mediation influence of AI-tech trust was also examined.

Cross-sectional data were gathered from 264 HR professionals from Indian e-commerce organizations. The model has been tested using a two-step partial least squares-based, structural equational modeling (PLS-SEM) technique.

AI uses algorithms for creating accurate and trustworthy information databases; it also enables quick data access and transmission, which enhances HR functions. Employees’ perception of the change that AI can bring to various HR functions significantly impacts the adoption of AI in HR. Additionally, AI-tech trust positively mediates all the hypothesized relationships.

Based on stimulus-organism-response (S-O-R) and affordance theory, this study significantly increases the understanding of how employees perceive changes in various HR functions as a result of AI implementation and how much they trust the AI technology. This study also addresses the lack of research on AI integration in HR, with a special focus on developing countries.