Performance evaluation will not die, but it should

We present a targeted review of recent developments and advances in digital selection procedures (DSPs) with particular attention to advances in internet-based techniques. By reviewing the emergence of DSPs in selection research and practice, we highlight five main categories of methods (online applications, online psychometric testing, digital interviews, gamified assessment and social media). We discuss the evidence base for each of these DSP groups, focusing on construct and criterion validity, and applicant reactions to their use in organizations. Based on the findings of our review, we present a critique of the evidence base for DSPs in industrial, work and organizational psychology and set out an agenda for advancing research. We identify pressing gaps in our understanding of DSPs, and ten key questions to be answered. Given that DSPs are likely to depart further from traditional non-digital selection procedures in the future, a theme in this agenda is the need to establish a distinct and specific literature on DSPs, and to do so at a pace that reflects the speed of the underlying technological advancement. In concluding, we, therefore, issue a call to action for selection researchers in work and organizational psychology to commence a new and rigorous multidisciplinary programme of scientific study of DSPs.

/pdf/personnel-selection-in-the-digital-age-a-review-of-validity-46epcwqayz.pdf

Personnel selection in the digital age: a review of validity and applicant reactions, and future research challenges

The purpose of this paper is to explore the relationship between competency-based performance management and organizational effectiveness (OE). It signifies the importance of developing competency-based performance concept in organizations. Since conventional performance management systems (PMSs) are diminishing and as organizations are looking for breakthrough PMSs, this research attempted to fill the gap from stakeholder’s perspective – employee, manager and organization in devising new approach in PMS.,The research design involved developing scale for “competency-based superior performance” and validating scale for “organizational effectiveness,” The data for this survey are collected from 292 respondents through structured questionnaire. Hypotheses depicting aforementioned relationships were empirically tested in the context of competency-based performance practices in organizations based in India. Structural equation modeling (SEM) technique was used for data analysis.,The empirical results provide methods to accelerate the performance management initiatives based on a leadership competency model (LCM), which are necessary for building performance culture in the organization. The paper contributes by developing a new scale for measuring competency-based performance practices. The scale for OE is revisited. A positive relationship between competency-based superior performance and OE with productivity, adaptability and flexibility has been empirically confirmed using SEM.,The paper limits the performance measurement concept using leadership competencies.,The developed model will act as a building block for performance measurement in organizations. This paper promotes LCM to be applied in creating a performance-based culture.,This is a unique attempt to test the relationship between competency-based performance management and OE.

Competency based superior performance and organizational effectiveness

With the development of artificial intelligence (AI), the automatic analysis of video interviews to recognize individual personality traits has become an active area of research and has applications in personality computing, human-computer interaction, and psychological assessment. Advances in computer vision and pattern recognition based on deep learning (DL) techniques have led to the establishment of convolutional neural network models that can successfully recognize human nonverbal cues and attribute their personality traits with the use of a camera. In this paper, an end-to-end AI interviewing system was developed using asynchronous video interview (AVI) processing and a TensorFlow AI engine to perform automatic personality recognition (APR) based on the features extracted from the AVIs and the true personality scores from the facial expressions and self-reported questionnaires of 120 real job applicants. The experimental results show that our AI-based interview agent can successfully recognize the “big five” traits of an interviewee at an accuracy between 90.9% and 97.4%. Our experiment also indicates that although the machine learning was conducted without large-scale data, the semisupervised DL approach performed surprisingly well with regard to APR despite the lack of labor-intensive manual annotation and labeling. The AI-based interview agent can supplement or replace existing self-reported personality assessment methods that job applicants may distort to achieve socially desirable effects.

TensorFlow-Based Automatic Personality Recognition Used in Asynchronous Video Interviews

The prediction of individual interpersonal communication skills and personality traits is a critical issue in both industrial and organizational psychology and affective computing. In this study, we invited 114 participants, including 57 interviewers and 57 interviewees, to collect the ground truth of interviewees’ communication skills and personality traits as perceived by real human interviewers in a structured behavioral interview setting. We develop an asynchronous video interview (AVI) platform with an artificial intelligence (AI) decision agent based on a TensorFlow convolutional neural network (CNN), called AVI-AI, that can be used to partially displace human raters’ work in the initial stage of employment screening and to successfully predict a job candidate’s communication skills and personality traits. The experimental results show that AVI-AI can predict not only a candidate’s interpersonal communication skills but also his or her openness, agreeableness, and neuroticism, as perceived by experienced human resource professionals. The interrater reliability values were all acceptable to support the ground truth assumption. However, our AVI-AI could not predict the conscientiousness and extraversion as perceived by the real human raters in this study.

/pdf/intelligent-video-interview-agent-used-to-predict-4j8p1v62cd.pdf

Intelligent video interview agent used to predict communication skill and perceived personality traits

Drawing from Huffcutt, Conway, Roth, and Stone’s (2001) taxonomy of employment-interview constructs, we hypothesized that asynchronous web-based video employment interviews would be associated with job performance and organizational tenure using a crowd-sourced sample of 75 employed professionals. We found that composite interview ratings and construct ratings of mental capability, knowledge and skills, applied social skills, and conscientiousness were significantly related to self-rated job performance. We also found that construct ratings of knowledge and skills and applied social skills were significantly associated with self-reported organizational tenure. Implications for web-based video employment-interview research and practice are discussed.

An Investigation Into the Validity of Asynchronous Web-Based Video Employment Interview Ratings

https://scholar.utc.edu/cgi/viewcontent.cgi?article=1004&context=rcio

Leader behavior and follower work behavior: the influence of follower characteristics

A survey of performance management (PM) practices in 101 U.S. organizations explored whether their PM systems, as perceived by human resources (HR) executives, reflect the best practices advocated by researchers to provide a benchmark of current PM practices. Results suggest that many of the PM practices recommended in the research literature are employed across the organizations surveyed, but several gaps between research and practice remain. Results also indicated that the majority of PM systems are viewed by HR executives as effective and fair. Implications for the science and practice of PM are discussed.

An exploratory study of current performance management practices: Human resource executives’ perspectives

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An Investigation Into the Validity of Asynchronous Web-Based Video Employment Interview Ratings

Leader behavior and follower work behavior: the influence of follower characteristics

An exploratory study of current performance management practices: Human resource executives’ perspectives