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1 – 10 of over 16000Christine Dagmar Malin, Jürgen Fleiß, Isabella Seeber, Bettina Kubicek, Cordula Kupfer and Stefan Thalmann
How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to…
Abstract
Purpose
How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.
Design/methodology/approach
This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.
Findings
Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.
Originality/value
Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.
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It is widely established that many hiring managers view social networking websites (SNWs) such as LinkedIn and/or Facebook in the employment selection process, leading to the…
Abstract
Purpose
It is widely established that many hiring managers view social networking websites (SNWs) such as LinkedIn and/or Facebook in the employment selection process, leading to the acceptance or rejection of job applicants. Due to the rapid evolution of social media, scientific study of SNWs has been substantially outpaced by organizational practice. This chapter focuses on a wide range of issues related to SNW screening relevant to research and practice.
Design/methodology/approach
The chapter: (1) reviews the current state of SNW screening practices, (2) describes a wide range of HR issues that should be considered such as privacy, discrimination, negligent hiring, validity, reliability, generalizability, impression management, applicant reactions, and utility, (3) draws connections to related issues already addressed by established employment selection methods to inform SNW screening, (4) discusses pros and cons of potential SNW screening approaches, and (5) provides a framework of best practices that should be incorporated into social network screening policies.
Findings
As an emerging employment selection approach, SNW screening demonstrates potential as a rich source of applicant information, but includes numerous legal and ethical issues. Further, these potential benefits and risks vary widely depending on the approaches used.
Originality/value
Provides HR practitioners with a wide range of information necessary to develop an effective social network screening policy, while making the case for academics to pursue research in this nascent area.
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In this chapter, I analyse the ethics of organisations assessing applicants based on group risk statistics; for example, parole boards consider information predicting recidivism…
Abstract
In this chapter, I analyse the ethics of organisations assessing applicants based on group risk statistics; for example, parole boards consider information predicting recidivism risk, and employers want to minimise the risk of selecting lower-productivity employees. The organisational rejection of applicants from risky groups is explored as a form of discrimination to help identify the distinct ethical implications for applicant autonomy from the use of group risk statistics. Contra arguments from Schoeman (1987) and Schauer (2003), I argue that there is a substantive difference between assessing applicants directly through group statistics rather than including ‘individualised’ evidence. This difference impacts on the agency of applicants in the process. As organisations have reason to statistically assess applicants, some considerations for increasing applicant agency in the process are suggested. These include focusing on the nature of the factors used to assess applicants (static or dynamic), the transparency of the process to applicants, and the use of statistics specific to individuals.
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Sharon Grant, Toby Mizzi and Elyse O’Loghlen
The thin feminine body ideal in Western society has persisted, despite becoming less representative of the female population, with obesity rates consistently rising since the…
Abstract
The thin feminine body ideal in Western society has persisted, despite becoming less representative of the female population, with obesity rates consistently rising since the 1980s. Recently, the COVID-19 pandemic has exacerbated obesity rates, due to curtailed interventions, restricted mobility/enforced physical inactivity and increased reliance on processed food with a longer shelf life due to social isolation (World Obesity Foundation, n.d.). Individuals with obesity report weight discrimination in a broad range of settings, including employment, where researchers have documented weight discrimination in relation to hiring, job assignment, promotion, remuneration and work stability. Weight discrimination may be worse for jobs involving public interaction, particularly for women, because heavier women do not conform to societal body ideals, leading to weight stigmatisation such as anti-fat attitudes and beliefs (e.g. negative stereotypes) and prejudice. This chapter presents a systematic literature review of studies that have examined weight discrimination against women with obesity in jobs involving public interaction, i.e. ‘customer-facing roles’.
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Mohsen Rafiei and Hans Van Dijk
Early research on overqualification suggested that overqualification is primarily associated with negative attitudes and behavior. As a consequence, hiring practitioners were…
Abstract
Purpose
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.
Design/methodology/approach
We have interviewed 33 hiring practitioners to examine their attitudes and considerations toward hiring overqualified job applicants.
Findings
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.
Originality/value
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.
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Donald H. Kluemper, Arjun Mitra and Siting Wang
Over the past decade, the rapid evolution of social media has impacted the field of human resource management in numerous ways. In response, scholars and practitioners have sought…
Abstract
Over the past decade, the rapid evolution of social media has impacted the field of human resource management in numerous ways. In response, scholars and practitioners have sought to begin an investigation of the myriad of ways that social media impacts organizations. To date, research evidence on a range of HR-related topics are just beginning to emerge, but are scattered across a range of diverse literatures. The principal aim of this chapter is to review the current literature on the study of social media in HRM and to integrate these disparate emerging literatures. During our review, we discuss the existent research, describe the theoretical foundations of such work, and summarize key research findings and themes into a coherent social media framework relevant to HRM. Finally, we offer recommendations for future work that can enhance knowledge of social media’s impact in organizations.
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This chapter examines a 5-year case (Stake, 2005) which examines the structure and culture of the graduate admissions process of Indonesian applicants to a College of Education…
Abstract
This chapter examines a 5-year case (Stake, 2005) which examines the structure and culture of the graduate admissions process of Indonesian applicants to a College of Education degree program in the Midwest United States. This chapter focusses on what steps are involved in the sponsorship, application and admission of international applicants to a graduate program. It was determined that the sponsorship of in-bound international students is a highly detailed and complex process engaging multiple agencies on tight timelines. This process is further complicated by single points of failure, slow decision-making and structural barriers. It was determined that because there are internal unpublicised ways to address some challenges, it is helpful to recruit and retain highly knowledgeable advocates to support the process.
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John Bound, Richard V Burkhauser and Austin Nichols
Using panel data from the Survey of Income and Program Participation linked to Social Security Administration disability determination records we trace the pattern of household…
Abstract
Using panel data from the Survey of Income and Program Participation linked to Social Security Administration disability determination records we trace the pattern of household income and the sources of that income from 38 months prior to 39 months following application for Social Security Disability Insurance (SSDI) and Supplemental Security Insurance (SSI). We find that the average applicant’s labor earnings declines dramatically beginning six months before application but the average applicant’s household income drops much less dramatically both in the months just before or just after application and over the next three years, and does so even for those denied benefits. However, we also found substantial heterogeneity in household income outcomes in both the SSDI and SSI applicant population. Our quantile regressions suggest that higher income households experience greater percentage declines in their post-application income. Such results are consistent with the lower replacement rate for higher earners established in the SSDI program and the low absolute level of protection provided to all SSI applicants regardless of income prior to application.