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Early research on overqualification suggested that overqualification is primarily associated with negative attitudes and behavior. As a consequence, hiring practitioners were advised against hiring overqualified job applicants. However, recent studies have revealed that there are several potential positive consequences of overqualification. Given this change in perspective on overqualification, we examine how hiring practitioners nowadays look at overqualified job applicants, and what their considerations are for hiring an overqualified job applicant or not.

We have interviewed 33 hiring practitioners to examine their attitudes and considerations toward hiring overqualified job applicants.

Results show that hiring practitioners are aware of potential positive as well as negative consequences of overqualification and consider a variety of factors to assess how beneficial hiring an overqualified candidate will be. These factors fall under three categories: Individual considerations, interpersonal considerations and contextual considerations.

We show that overqualification is not a stigma anymore and that the decision to hire an overqualified job applicant or not depends on a mixture of factors that are carefully considered. Two of these three considerations transcend the individual level (i.e. the overqualified person), whereas most research and theories on the consequences of overqualification do not go beyond the individual level. As such, our findings call for more theory and research on interpersonal and contextual factors shaping the consequences of overqualification.

High performance of new hires is of imminent interest to organizations in the hospitality sector. Yet, limited studies have focused on the relevant traits of new hires that improve on-job performance. This study aims to identify and understand a few critical traits that predict high performance across multilevel roles within the hospitality sector.

Drawing on the human capital theory, through a time-lagged field study spanning 16 months, this study used multisource data for 540 active job opportunities and 205 new hires within the hospitality industry. This study used partial least squares-based structural equation modeling and analyzed the various traits that predict high on-job performance.

This study finds that humility is a significant predictor of job performance and wholly mediates the effect of interpersonal understanding, self-confidence and flexibility on new hires’ performance.

This study enhances talent management research for the hospitality sector by determining the critical traits of new hires that can predict superior on-job performance.

This study aims to develop a model of learning-by-hiring in which knowledge gains may occur at the time of recruitment but also after recruitment when other incumbent organizational members assimilate a recruit’s knowledge. The author’s model predicts that experienced recruits are more likely to catalyze change to their organization’s core technological capabilities.

The continuous-time parametric hazard rate regressions predict core technological change in a long panel (1970–2017) of US biotechnology industry patent data. The author uses over 140,000 patents to model the evolution of knowledge of over 52,000 scientists and over 4,450 firms. To address endogeneity concerns, the author uses the Heckman selection method and does robustness tests using a difference-in-difference analysis.

The author finds that a hire’s prior research and development (R&D) experience helps overcome inertia arising from her or his new-to-an-organization “distant” knowledge to increase the likelihood of core technological change. In addition, while the author finds that incumbent organizational members resist technological change, experienced hires may effectively induce them to adopt new ways of doing things. This is particularly the case when hires collaborate with incumbents in R&D projects. Understanding the effects of hiring on core technological change, therefore, benefits from an assessment of hire R&D experience and its effects on incumbent inertia in an organization.

First, the author does not recommend managers to hire scientists with considerable distant knowledge only as this may be detrimental to core technological change. Second, the author recommends organizations striving to effectuate technological change to hire people with considerable prior R&D experience as this confers them with the ability to influence other members and socialize incumbent members. Third, the author recommends that managers hire people with both significant levels of prior experience and distant knowledge as they are complements. Finally, the author recommends managers to encourage collaboration between highly experienced hired scientists and long-tenured incumbent organizational members to facilitate incumbent learning, socialization and adoption of new ways of doing things.

This study develops a model of learning-by-hiring, which, to the best of the authors’ knowledge, is the first to propose, test and advance KM literature by showing the effectiveness of experienced hires to stimulate knowledge diffusion and core technological change over time after being hired. This study contributes to innovation, organizational learning and strategy literatures.

The purposes of this paper are to delve into the “liability of foreignness” among immigrants and to explore factors that may enhance or moderate such liability while obtaining jobs in host countries. We explore the competition for jobs in a host country among foreign-born individuals from various backgrounds and local residents, by examining such factors as their human capital, as well as, for the foreign-born, their duration of residence in the host country.

Applying configurational theorizing, we propose that the presence of specific human capital can help reduce the challenges associated with the “liability of foreignness” for migrants who have shorter durations of stay in the host country, and, to a lesser extent, for female migrants. Our study draws upon extensive career data spanning several decades and involving 249 employees within a Danish multinational enterprise.

We find that specific human capital helps established immigrants in general, although female immigrants are more vulnerable. We furthermore find a strong “gender liability” in the industry even for local females, including returnees in the host countries. Our findings suggest that for immigrants, including returnees, career building requires a mix of right human capital and tenure in the host country, and that career building is especially challenging for female immigrants.

While the concept of “liability of foreignness” – focussing on discrimination faced by immigrants in the labour market – has been brought to the fore, a notable gap exists in empirical research pertaining to studies aiming at disentangling potential means to overcome such liability, as well as in studies seeking to explore this issue from a stance of gendered experience.

Research indicates that inconsistent gender norm presentations are met with backlash, which is particularly damaging to women. With social media use in selection rising, it is important to understand if this remains consistent for job applicants on social media.

In two experiments, this study investigates hiring managers' reactions to job applicant (in)consistent gender norm-based communication on Facebook (n = 197) and YouTube (n = 203). Participants located in the United States were asked to review social media materials, reported perceptions of task and social attraction, and make hiring recommendations.

Inconsistent with work on backlash in face-to-face settings, results demonstrated that masculine communication styles on social media may be detrimental to job seekers, and this was more pronounced for male job seekers. Feminine presentation styles had more favorable results.

The findings challenge the long-held understanding that men have more leeway to behave in agentic ways in job seeking contexts. While this may remain true in face-to-face settings, these findings suggest that social media, lacking media richness, may be a context in which males experience backlash for agentic behavior.

The research offers a novel perspective investigating traditional gender expectations in the digital realm, paving the way for a more comprehensive understanding of gender in employment contexts. This study contributes to the growing body of research on online behavior and expands understanding of how hiring managers react to gender norms in the era of social media.

The French higher education system has experienced reforms since the 2000s that gradually emphasized the executive power of universities and the centralization of decision-making. This culminated with the excellence initiatives (Idex) that concentrated 7.7 billion euros on only nine institutions to create “world-class” universities and made their leaders responsible for the local allocation of this substantial endowment. The universities’ executives had four years to complete changes in governance in order to see their institution permanently awarded the title and the funding of Idex. The hiring process is one of the elements that this policy impacted the most within these universities, enabling leaders to create new kinds of positions and control the hiring process. However, by looking at the hiring practices within three different Idex, we will show that collegiality did not disappear but rather it evolved: in the three cases, the closest colleagues have been marginalized but decision-making remained collective and in the hands of academics chosen by the university executives. Variations in the intensity of this evolution could be observed according to two dimensions. First, the scientific reputation of the university: the higher it is, the less collegiality is transformed. Second, the level of external pressures: the less collegial universities have relaxed their hiring practices after the evaluation that permanently granted them the label of Idex.

Hospitality firms adopted diverse hiring policies and public declarations of support for LGBTQ+ causes through brand activism. The impact of activism on LGBTQ+ employees’ workplace experiences has been ambiguous. This study aims to examine the hospitality and tourism employees’ perceptions of gay and lesbian leaders as token-hires among hospitality employees and the spillover effect on company’s motives for hiring the leaders. This study further explores LGBTQ+ employees’ reactions to token-hiring as a form of activism, and how workplace interactions as passing/revealing LGBTQ+ individuals shaped their career development.

This research adopted a sequential mixed-methods design. An experiment examines how employees judge gay vs lesbian hospitality leaders as token hires, contingent on their own gender identity. It further tests the conditional mediation of tokenism on company’s egoistic motives for activism. A qualitative study explores the reactions to token-hiring as activism from the perspective of LGBTQ+ leaders who reflect on their own careers and workplace experiences.

Tokenism in the hospitality workplace is recognized as the phenomenon attributed to groups at the intersection of identities (e.g. gay men). Findings demonstrate the spillover effect of tokenism perceptions of gay male leaders by other men on company’s egoistic motives for activism. This effect is not observed for a lesbian female leader. Results from interviews suggest that hospitality and tourism LGBTQ+ employees predominantly take the post-gay vs political approach when managing their sexual identities at work and feel ambivalent toward token-hiring as LGBTQ+ brand activism.

This research contributes to understanding workplace challenges of LGBTQ+ employees and how they are perceived by others contingent on gender identity. It also explores the role of tokenism in their experiences.

Corporate site visits increase labor investment efficiency.

Our empirical model for the baseline analysis follows those of Jung et al. (2014) and Ghaly et al. (2020).

We show that corporate site visits are associated with significantly higher labor investment efficiency; more specifically, site visits reduce both over-hiring and under-hiring of employees. The effect of site visits on labor investment efficiency is more pronounced for firms with higher labor adjustment costs, greater financial constraints, weaker corporate governance and lower financial reporting quality. We also find that site visits mitigate labor cost stickiness.

First, while the literature has suggested how the presence of institutional investors and analysts may affect labor investment decisions, we focus on institutional investors and analysts’ activities and interactions with firm executives. We provide direct evidence that institutional investors and analysts may use corporate site visits to improve labor investment efficiency. Second, our study adds to a line of recent studies on how corporate site visits reduce information asymmetry and agency conflicts. We show that corporate site visits allow institutional investors and analysts to influence labor investment efficiency. We also provide new evidence that corporate site visits reduce labor cost stickiness.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

More and more workers in Western economies are operating as freelancers in the so-called “gig economy”, moving from one project – or gig – to the next. A lively debate revolves around the question as to whether this new employment relationship is actually good for innovation in the 21 st century economy. Proponents argue that in this gig process valuable knowledge is created and transferred from one organization to the next via freelancers through their sequence of temporary gigs or projects. Antagonists reason that freelancers are only hired as one-trick ponies on a transactional basis, where knowledge is neither created nor shared. In this study, we focus on the characteristics of gigs. Which project characteristics lead to increased engagement of freelancers, and hence to knowledge-sharing behavior? Our study suggests that the gig economy can indeed lead to increased knowledge sharing by and engagement of freelance workers, provided that organizations and freelancers structure and shape gigs in such a way that they: (1) not only suit the task requirements at hand and (2) fit with the acquired skills of the freelancer, but that these gigs also (3) leave ample of room for the freelancer’s individual growth and development of new skills. This suggests that innovative organizations will need to shape gigs in such a way that freelancers are not only hired for their expertise, but rather that gigs also provide a learning opportunity for freelancers.