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Full-Text Articles in Psychology
“Where’S The I-O?” Artificial Intelligence And Machine Learning In Talent Management Systems, Manuel F. Gonzalez, John F. Capman, Frederick L. Oswald, Evan R. Theys, David L. Tomczak
“Where’S The I-O?” Artificial Intelligence And Machine Learning In Talent Management Systems, Manuel F. Gonzalez, John F. Capman, Frederick L. Oswald, Evan R. Theys, David L. Tomczak
Personnel Assessment and Decisions
Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption by organizations seeking to identify and hire high-quality job applicants. Yet the volume, variety, and velocity of professional involvement among I-O psychologists remains relatively limited when it comes to developing and evaluating AI/ML applications for talent assessment and selection. Furthermore, there is a paucity of empirical research that investigates the reliability, validity, and fairness of AI/ML tools in organizational contexts. To stimulate future involvement and research, we share our review and perspective on the current state of AI/ML in talent assessment as well as its benefits and potential pitfalls; …
A New Scoring Procedure In Assessment Centers: Insights From Interaction Analysis, Janneke K. Oostrom, Nale Lehmann-Willenbrock, Ute-Christine Klehe
A New Scoring Procedure In Assessment Centers: Insights From Interaction Analysis, Janneke K. Oostrom, Nale Lehmann-Willenbrock, Ute-Christine Klehe
Personnel Assessment and Decisions
This paper proposes interaction analysis as an alternative scoring procedure in assessment centers (ACs). Interaction analysis allows for a more fine-grained scoring approach by which candidate behaviors are captured as they actually happen, thus avoiding judgment errors typically associated with traditional scoring procedures. We describe interaction analysis and explain how this procedure can improve the validity of ACs. In a short research example, we showcase how interaction analysis can be implemented in AC settings. Finally, we integrate our arguments in terms of three key propositions which we hope will inspire future research on more dynamic scoring procedures.
Selection Tool Use: A Focus On Personality Testing In Canada, The United States, And Germany, Stephen D. Risavy, Peter A. Fisher, Chet Robie, Cornelius J. König
Selection Tool Use: A Focus On Personality Testing In Canada, The United States, And Germany, Stephen D. Risavy, Peter A. Fisher, Chet Robie, Cornelius J. König
Personnel Assessment and Decisions
The purpose of this paper is to provide new data regarding the current staffing practices being used by organizations in Canada and the United States (US) as well as a comparison with existing data from Germany (Diekmann & König, 2015). Data regarding the beliefs of human resource (HR) practitioners in terms of using personality tests in personnel selection is also provided. A geographically representative sample of 453 HR practitioners across Canada and the US were surveyed. Although general mental ability testing has previously been found to be highly valid and cost effective, this selection tool was among the least commonly …
Examining Factors Influencing Use Of A Decision Aid In Personnel Selection, Alexander T. Jackson, Michael E. Young, Satoris S. Howes, Patrick A. Knight, Sydney L. Reichin
Examining Factors Influencing Use Of A Decision Aid In Personnel Selection, Alexander T. Jackson, Michael E. Young, Satoris S. Howes, Patrick A. Knight, Sydney L. Reichin
Personnel Assessment and Decisions
In this research, two studies were conducted to examine factors influencing reliance on a decision aid in personnel selection. Specifically, this study examined the effect of feedback, validity of selection predictors, and presence of a decision aid on the use of the aid in personnel selection. The results demonstrate that when people are provided with the decision aid, their predictions were significantly more similar to the predictions made by the aid than people who were not provided with the aid. This suggests that when people are provided with an aid, they will use it to some degree. This research also …
Ecological Rationality: Fast-And-Frugal Heuristics For Managerial Decision Making Under Uncertainty, Shenghua Luan, Jochen Reb, Gerd Gigerenzer
Ecological Rationality: Fast-And-Frugal Heuristics For Managerial Decision Making Under Uncertainty, Shenghua Luan, Jochen Reb, Gerd Gigerenzer
Research Collection Lee Kong Chian School Of Business
Heuristics are often viewed as inferior to “rational” strategies that exhaustively search and process information. Introducing the theoretical perspective of ecological rationality, we challenge this view and argue that under conditions of uncertainty common to managerial decision making, managers can actually make better decisions using fast-and-frugal heuristics. Within the context of personnel selection, we show that a heuristic called Δ-inference can more accurately predict which of two job applicants would perform better in the future than logistic regression, a prototypical rational strategy. Using data from 236 applicants at an airline company, we demonstrate in Study 1 that despite searching less …