What's Missing From the College Transcript?

This chapter describes a qualitative study of how organizations use information to evaluate and hire graduating students into entry-level positions from one pre-professional undergraduate program. The study investigates how campus recruiters and hiring managers make sense of student job applicants' cognitive, non-cognitive, and technical abilities from data presented in résumés, academic transcripts, and through various interview techniques. The findings provide insight into the opportunities and challenges to incorporating alternative representations of learning—Comprehensive Learner Records—into the recruitment and hiring process. The findings also reveal how information about learning and learners is used to establish pipelines for recruiting and hiring recent college graduates. The study informs the design of future assessment and credentialing infrastructures, with the goal of expanding how “learning” is measured, defined, and represented in higher education to enhance diversity, equity, and opportunity for learners.

Employability of job applicants in skilful jobs: commonality in employer and employee perspectives

Purpose The purpose of this research is to explore the employer and employee perspectives about the employability skills of skilful jobs. The research is conducted in a developing country (Palestine) which has a high percentage of university graduates, high unemployment rate and intense job competition. This paper defines skilful jobs as those that require employees who have attended a college or university and have completed a two-year diploma or a four-year degree.Design/methodology/approach This research integrates the components of discussion with local experts in the skilled labour market, primary data from employers (N = 415) and primary data from employees (N = 880). Binary logistic regression is used to measure the relationship between the dependent variable (likelihood of hire or not hire) and independent variables (job applicants' hard and soft skills).Findings The results from both employer and employee data revealed that the previous work experience, computer skills, professional certifications and high grade point average have significant impact on hiring and recruitment in the skilful jobs. In addition to these, the employers seek applicants who have communication skills. However, the employees consider personal relationship with employers to be a highly significant factor in accepting job offers.Practical implications To increase their likelihood of obtaining a skilful job, and then sustaining it, the job seekers should hone their soft skills and acquire professional certifications. The universities should adapt their curriculum to match these skills and move their focus from disciplinary knowledge to competencies. The public policy makers should design awareness and capacity building programmes that will facilitate the recent graduates' integration into the labour market. The empirical model in this study shows that previous work experience is the most important recruitment factor for employers – accordingly, creating internships and apprenticeship opportunities would be its clear policy implication.Originality/value The study contributes to the literature by providing a parsimonious employability model of skilful jobs, which fits as much as possible the perspectives of the employers and employees about the employability skills in a developing country.

Impact of Recruitment and Selection Practices on Teaching Faculties Satisfaction at Community Colleges of Nepal

The process of attracting, evaluating, and hiring individuals for an organization is known as recruitment. Selection is the process of identifying an individual from a pool of job applicants with the requisite qualifications and competencies to fill jobs in the organization. The purpose of this paper is to explore the effects of recruitment and selection practices on teaching faculty satisfaction in community colleges. The researcher adopted a Qual-Quan approach with a descriptive and cross-sectional research design. A structured questionnaire was applied for quantitative information collection from 49 respondents, and an FGD was conducted to collect qualitative information. Stratified and random sampling techniques were used to select the sample from the targeted population, and data processing was done using SPSS version 26. In order to reach a conclusion, ANOVA, Chi-square and frequency statistical tools were used for data analysis. The analyses showed there was a significant impact of recruitment and selection practices on teaching faculty satisfaction in community colleges of Nepal.

Values Assessment for Personnel Selection: Comparing Job Applicants to Non-Applicants

Some scholars suggest that organizations could improve their hiring decisions by measuring the personal values of job applicants, arguing that values provide insights into applicants’ cultural fit, retention prospects, and performance outcomes. However, others have expressed concerns about response distortion and faking. The current study provides the first large-scale investigation of the effect of the job applicant context on the psychometric structure and scale means of a self-reported values measure. Participants comprised 7,884 job applicants (41% male; age M = 43.32, SD = 10.76) and a country-, age-, and gender-matched comparison sample of 1,806 non-applicants (41% male; age M = 44.72, SD = 10.97), along with a small repeated-measures, cross-context sample. Respondents completed the 57-item Portrait Values Questionnaire (PVQ) measuring Schwartz’ universal personal values. Compared to matched non-applicants, applicants reported valuing power and self-direction considerably less, and conformity and universalism considerably more. Applicants also reported valuing security, tradition, and benevolence more than non-applicants, and reported valuing stimulation, hedonism, and achievement less than non-applicants. Despite applicants appearing to embellish the degree to which their values aligned with being responsible and considerate workers, invariance testing suggested that the under- lying structure of values assessment is largely preserved in job applicant contexts.

Need to downsize? Your future employees may like the idea of cutting pay more

PurposeStudies comparing the consequences of payroll cost reduction methods (i.e. cutting pay and downsizing) have been limited, with no studies comparing these methods' impact on job-seeker attraction. The current research tries to close this gap by comparing the effects of cutting pay and downsizing on job-seeker attraction outcomes.Design/methodology/approachTwo studies are conducted. The first study compares the effects of the two payroll cost reduction methods (i.e. cutting pay vs downsizing) on job-seeker attraction through a within-subject design experiment of people in the United States. The second study analyzes secondary data in South Korea to compare the two methods' effects on the number of job applicants applying for job openings.FindingsThe results demonstrate that organizations with a history of pay cuts yield more favorable job-seeker attraction outcomes than organizations with a history of downsizing.Practical implicationsAlthough firms that choose to downsize may better maintain the morale of surviving employees, the decision of downsizing can have long-term costs, such as having a worse capability to attract job-applicants than firms that choose to cut pay and share the pain as a group.Originality/valueThe research provides an insight into which payroll cost reduction method yields better outcomes in terms of job-seeker attraction. The research responds to the call in the payroll cost reduction method literature of identifying a feasible alternative to downsizing in terms of various outcomes other than the morale of current (or remaining) employees.

A Test of Expectancy Theory and Demographic Characteristics as Predictors of Faking and Honesty in Employment Interviews

Job applicants vary in the extent to which they fake or stay honest in employment interviews, yet the contextual and demographic factors underlying these behaviors are unclear. To help answer this question, we drew on Ellingson and McFarland’s (2011) framework of faking based in valence-instrumentality-expectancy theory. Study 1 collected normative data and established baseline distributions for instrumentality-expectancy beliefs from a Canadian municipality. Results indicated that most respondents had low levels of instrumentality-expectancy beliefs for faking, but high levels for honesty. Moreover, income, education, and age were antecedents of instrumentality-expectancy beliefs. Study 2 extended these findings with a United States sample and sought to determine if they could be explained by individual differences. Results demonstrated that financial insecurity predicted instrumentality of faking, whereas age predicted expectancy of faking. Finally, valence-instrumentality-expectancy beliefs were all predictors of self-reported faking in a past interview.