Results 1 to 10 of about 6,573,181 (320)

Check the box! How to deal with automation bias in AI-based personnel selection. [PDF]

open access: yesFront Psychol, 2023
Artificial Intelligence (AI) as decision support for personnel preselection, e.g., in the form of a dashboard, promises a more effective and fairer selection process.
Kupfer C   +5 more
europepmc   +2 more sources

Game-related assessments for personnel selection: A systematic review. [PDF]

open access: yesFront Psychol, 2022
Industrial development in recent decades has led to using information and communication technologies (ICT) to support personnel selection processes.
Ramos-Villagrasa PJ   +2 more
europepmc   +2 more sources

Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task. [PDF]

open access: yesSci Rep
Despite the rise of decision support systems enabled by artificial intelligence (AI) in personnel selection, their impact on decision-making processes is largely unknown.
Cecil J   +4 more
europepmc   +2 more sources

Dear Computer on My Desk, Which Candidate Fits Best? An Assessment of Candidates’ Perception of Assessment Quality When Using AI in Personnel Selection [PDF]

open access: yesFrontiers in Psychology, 2021
Recently, with the increase in technological capabilities and the need to reduce bias in candidate selection processes, artificial intelligence (AI)-based selection procedures have been on the rise.
Jessica Schick, Sebastian Fischer
doaj   +2 more sources

Differences between and within individuals, and subprocesses of face cognition: implications for theory, research and personnel selection. [PDF]

open access: yesR Soc Open Sci, 2020
Recent investigations of individual differences have demonstrated striking variability in performance both within the same subprocess in face cognition (e.g. face perception), but also between two different subprocesses (i.e.
Fysh MC, Stacchi L, Ramon M.
europepmc   +2 more sources

An Integrated Neutrosophic-TOPSIS Approach and Its Application to Personnel Selection: A New Trend in Brain Processing and Analysis

open access: yesIEEE Access, 2019
Personnel selection is a critical obstacle that influences the success of the enterprise. The complexity of personnel selection is to determine efficiently the proper applicantion to fulfill enterprise requirements.
Nada A. Nabeeh   +4 more
doaj   +2 more sources

A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods

open access: yesMathematics, 2020
People represent one of the most significant resources of an organization, and therefore, personnel selection is one of the problems that organizations have increasingly been facing. The criteria that influence the final decision are usually opposing, so
Alptekin Ulutaş   +5 more
doaj   +2 more sources

Cognitive intelligence, emotional intelligence and personality types as predictors of job performance: Exploring a model for personnel selection

open access: yesSA Journal of Human Resource Management, 2020
Orientation: The process of personnel selection is essential for organisations because it ensures that only those candidates who are likely to contribute to the economic value of an organisation are chosen to fill job vacancies.
Pfungwa Dhliwayo, Melinde Coetzee
doaj   +2 more sources

The methodological seminar “Psychological Safety in Transport” [PDF]

open access: yesСоциальная психология и общество, 2018
This paper provides a short brief overview of the methodological seminar “Psychological Safety in Transport” organized in Yekaterinburg on the 17th November 2017.
Sviridenko I.N.
doaj   +1 more source

Machine learning applications to personnel selection: Current illustrations, lessons learned, and future research

open access: yesPersonnel Psychology, 2023
Machine learning (ML) may be the biggest innovative force in personnel selection since the invention of employment tests. As such, the purpose of this special issue was to draw out research from applied settings to supplement the work that appeared in ...
Michael A. Campion, Emily D. Campion
semanticscholar   +1 more source

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