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The legal and political roots of the Americans with Disabilities Act (ADA) owe themselves to the civil rights era of the 1960s, which passed the Civil Rights Act in 1964, the Voting Rights Act in 1965 and the Architectural Barriers Act of 1968, and to the Rehabilitation Act of 1973. From the 1970s to the 1990s, activism among the disabled became increasingly visible. In 1986, congress passed the Air Carriers Act, which addressed the rights of the disabled when using air transportation. Later in 1988, the Civil Rights Restoration Act was passed along with the Fair Housing Amendments Act (Historical, 2003).

The purpose of this paper is to examine the effect of feedback seeking (FBS) and impression management (IM) on candidates’ evaluative performance and final hiring decision in a recruiting assessment center (AC) by a multinational corporation (MNC) in China.

The authors adopted a mixed-methods design. The authors first surveyed 234 candidates and 12 recruiting managers as assessors in four Chinese cities in one year. The authors then collected 23 candidates’ qualitative data in the forms of online blogs, diaries or letters sharing their recruitment experiences from 2005 to 2014.

The quantitative results showed that both candidates’ FBS and IM behaviors were positively related to their evaluative performance, yet with no significant effects on hiring decision. However, the interaction of FBS and IM significantly reduced the likelihood of a positive evaluative performance and hiring decision. Qualitative findings showed that IM was adopted by the candidates, and encouraged by the firm in the initial period of AC. Implicit FBS behavior was also found in the qualitative data.

The results offer important practical implications. For applicants, success in job search depends on one’s overall ability and capacity, while proper FBS and initial IM may be helpful to get in the race. At the firm level, MNCs need to adopt innovative strategies to win the “war for talent” in campus recruiting to cope with the deficiency in the educational focus.

The authors adopted a mixed-methods approach to examining the dynamics of AC process in campus recruiting processes. This study is among the first examining the interactions of FBS and IM in the selection research.

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

Applicants often use impression management (IM) in employment interviews, and such tactics can considerably influence interviewers' evaluations of their performance. Yet, little research has examined interviewers' perceptions of such behaviors. This paper aims to examine if interviewers' perceptions of various IM behaviors converge with applicants' self-reports and the impact of interviewers' IM perceptions on interview outcomes.

Findings are based on data from a field study of 164 real employment interviews, conducted in recruiting agencies in Switzerland.

Interviewers' perceptions do not converge with self-reported applicant IM. Interviewers' perceptions of self-promotion and perceived applicant transparency are positively related to interview evaluations, while perceptions of slight image creation tactics are negatively related to interview evaluations. Perceptions of deceptive ingratiation, image protection, and extensive image creation were not related to evaluations.

It may not be that easy for interviewers to identify when applicants use IM, partly because they may be prone to overconfidence in their judgments and may (wrongly) believe they can “see through the applicant”. Also, what may actually matter in interviews is not the impression applicants think they are making, but interviewers' perceptions of applicant IM.

This study investigates interviewers' perceptions in addition to applicants' self-reports of five types of IM in real employment interviews, and how such perceptions are related to interview outcome.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

The purpose of this paper is to examine similarities and differences in motivational-type and sensation seeking tendencies in male and female firefighters and to determine how a growing focus on extrinsically focused reasons to volunteer relates to traditional, intrinsically focused rationales.

In total, 160 volunteer firefighters (29 women, 131 men) were compared to 210 undergraduate controls (171 women, 39 men) across a spectrum of motivation and sensation seeking types in a cross-sectional, questionnaire-based, approach.

Female volunteers showed a distinct pattern of motivations for volunteering and though similar to their male counterparts in Thrill and Adventure Seeking were lower in impulsive sensation seeking. Greater levels of career-focused motivation did not come at the cost of intrinsically focused motivation or to the number of years one projected volunteering.

The approach did not provide the means to check if reported intentions translate to behavioural outcomes and the small number of female firefighters sampled compromised power.

Findings of how female volunteers differ from male counterparts and university women might be considered when developing recruitment drives and formulating policy to modify what is rewarded in firefighting. Findings further suggest that the potential of gaining paid employment is unlikely to compromise traditional reasons for volunteering.

Evidence that female volunteers possess a distinct and desirable pattern of motivations and sensation seeking relative to their male counterparts seemingly provides a rationale to target women in recruitment drives that extends beyond bolstering numbers. However, that they were also distinct from university females raises questions about their representativeness and, in turn, about the size of the potential pool from which fire services may draw. Hypothesized concern about the negative impact that volunteering as a means to obtain paid work has on more traditional, intrinsically focused motivations appears to be unfounded.

Moves beyond anecdote to provide empirical evidence of the motivations and sensation seeking tendencies of volunteer firefighters, especially women, and contributes to a nascent area of inquiry about how intrinsic and extrinsic motivation can co-exist in this group.

The purpose of this paper is to investigate how individual interviewers’ dispositional cognitive motivations may influence interview interactions and outcomes. More specifically, this study explores the influence of the need for cognition, need for cognitive closure, and accountability on the relationship between first impressions and selection decisions.

In total, 41 graduate students were assigned the role of interviewers and were tasked to interview 331 undergraduate students at a large Midwestern university. The selection interview was designed to recruit qualified undergraduate students to the MBA program of the university.

First impressions significantly influenced selection decisions, but did not influence interviewers’ behaviors. Moreover, multilevel analyses reveal that interviewers’ need for cognition and accountability moderate the relationship between first impression and selection decisions, albeit in different direction. Need for cognition strengthens, whereas accountability weakens the relationship between first impression and selection decision.

A potential interviewer bias is apparent, where interviewers high on need for cognition tend to weight first impressions more in the decision process. However, this bias was not directly observable, since interviewers’ behaviors during the interview were not affected by first impressions.

The present study goes beyond previous research on first impressions in the employment interview, finding that dispositional differences account for the tendency to weigh first impressions in the selection decision.

The paper aims to demonstrate the utilization of banks’ career website for publicizing the employer branding strategy to enable effective strategic talent relationship management through talent attraction, engagement and retention.

A qualitative approach using purposive sample comprising HR professionals involving HR directors, reward managers and talent relationship managers, participated in semi-structured interviews.

This paper provides empirical insights on the use of career websites to disseminate the employer brand. The findings reveal the presence of recruitment orientation career websites across the banking sector. It also conveys HR practitioners’ suggestions for revamping the banks’ career websites to a more screening orientation approach for greater interactivity by both the internal and external talent pools.

The paper depicts the importance attributed around the utilization of career websites in promoting the employer brand by the HR community across the banking sector. It provides clear insights about the specific contents of career websites to enable sustainable talent attraction, engagement and retention.

This paper provides a qualitative insight to the study of employer branding and career websites. Whereas most previous research on career websites have been of a quantitative nature relying predominantly on fictitious websites, having mostly undergraduate students as research participants. This study contributes enormously to the existing literature and practice by unveiling the perceptions of HR professionals on the dissemination of the employer brand through the career website.

Stories of employability are told in employment and educational settings, notably the selection interviews. A popular training approach guiding higher education students to construct employability stories has been the past-behaviour storytelling method. However, insufficient research exists regarding the method's effectiveness and optimisation. This study examines whether the method (1) increases the quantity and quality of interview narratives in story forms and (2) can be enhanced by image stimuli.

In a double-blind randomised control trial with repeated measures, participants submitted four weekly interview narratives. After receiving past-behaviour serious storytelling training in Week 3, they were randomly allocated to an exposure group using images and a control group using keywords as a placebo to continue producing interview narratives. The interview narratives were assessed based on the number of stories and quality ratings of narrative conformity, relevance and conciseness. Results before and after the training, and with and without the image stimuli, were analysed.

Training increased the number of stories. Training and repeated practice also increased narrative quality ratings. However, the image-based intervention was the strongest predictor of improved quality ratings (effect size 2.47 points on the observed scale of 0–10, p < 0.01, 95% CI [1.46, 3.47]).

A pre-existing ability to tell employability stories cannot be assumed. Training is necessary, and intervention is required for enhancement. Multi-sensory narrative interventions may be considered.

This study is the first known double-blind randomised control trial with repeated measures evaluating if storytelling training and image stimuli improve interview narratives.