Personnel Selection for Manned Diving Operations

2011 ◽  
pp. 654-662
Author(s):  
Tamer Ozyigit ◽  
Salih Murat Egi ◽  
Salih Aydın ◽  
Nevzat Tunc
Keyword(s):  
Personnel Selection ◽  
Selection For

Personnel selection for high-risk occupations: Our current state

2008 ◽  
Author(s):  
Lycia A. Carter ◽  
Dwayne G. Norris ◽  
Mark A. Wilson ◽  
Lee Ann D. Wadsworth ◽  
Kelley J. Krokos
Keyword(s):  
High Risk ◽  
Personnel Selection ◽  
Current State ◽  
Selection For

scholarly journals A REAL PERSONNEL SELECTION PROBLEM USING THE GENERALIZED CHOQUET INTEGRAL METHODOLOGY

2018 ◽  
Vol 6 (2) ◽  
pp. 694-716
Author(s):  
Yavuz ÖZDEMİR ◽  
Kemal Gökhan NALBANT
Keyword(s):  
Human Resources ◽  
Personnel Selection ◽  
Selection Criteria ◽  
Choquet Integral ◽  
Human Resources Management ◽  
Selection Problem ◽  
Resources Management ◽  
Selection For ◽  
Selection Of

The main objective in the selection of personnel is to select the most appropriate candidate for a job. Personnel selection for human resources management is a very important issue.The aim of this paper is to determine the best-performing personnel for promotion using an application of a Multi Criteria Decision Making(MCDM) method, generalized Choquet integral, to a real personnel selection problem of a case study in Turkey and 17 alternatives are ranked according to personnel selection criteria (22 subcriteria are classified under 5 main criteria). The main contribution of this paper is to determine the interdependency among main criteria and subcriteria, the nonlinear relationship among them and the environmental uncertainties while selecting personnel alternatives using the generalized Choquet integral method with the experts’ view. To the authors’ knowledge, this will be the first study which uses the generalized Choquet Integral methodology for human resources. 

Saving Millions through Judicious Selection of Employees

1984 ◽  
Vol 13 (4) ◽  
pp. 409-415 ◽  
Author(s):  
Charles B. Schultz
Keyword(s):  
Personnel Selection ◽  
Selection Procedures ◽  
Selection For ◽  
Selection Of

Tests and other personnel selection procedures help in selecting good employees. Test utility studies show the value of selection for increasing productivity. Information about a test and about productivity of the workers can be used to quantify the gain that can be achieved by selecting the better workers. Increasing productivity by $5,000 per year per hire is not too much to expect.

scholarly journals A REAL PERSONNEL SELECTION PROBLEM USING THE GENERALIZED CHOQUET INTEGRAL METHODOLOGY

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Yavuz ÖZDEMİR ◽  
Kemal Gökhan NALBANT
Keyword(s):  
Human Resources ◽  
Personnel Selection ◽  
Selection Criteria ◽  
Choquet Integral ◽  
Human Resources Management ◽  
Selection Problem ◽  
Resources Management ◽  
Selection For ◽  
Selection Of

The main objective in the selection of personnel is to select the most appropriate candidate for a job. Personnel selection for human resources management is a very important issue.The aim of this paper is to determine the best-performing personnel for promotion using an application of a Multi Criteria Decision Making(MCDM) method, generalized Choquet integral, to a real personnel selection problem of a case study in Turkey and 17 alternatives are ranked according to personnel selection criteria (22 subcriteria are classified under 5 main criteria). The main contribution of this paper is to determine the interdependency among main criteria and subcriteria, the nonlinear relationship among them and the environmental uncertainties while selecting personnel alternatives using the generalized Choquet integral method with the experts’ view. To the authors’ knowledge, this will be the first study which uses the generalized Choquet Integral methodology for human resources. 

scholarly journals Forewarned is forearmed: Using AI to detect SDR tendencies as personnel selection tools

2021 ◽  
Author(s):  
Tony Lee ◽  
Matthias Ziegler
Keyword(s):  
Deep Learning ◽  
Personnel Selection ◽  
Learning Algorithm ◽  
Job Applicants ◽  
Baseline Model ◽  
Deep Learning Algorithm ◽  
Novel Approach ◽  
Deep Image ◽  
Selection For ◽  
Social Desirable Responding

Current practices of personnel selection often use questionnaires and interviews to assess candidates’ personality, but the effectiveness of both approaches can be hampered if social desirable responding (SDR) occurs. Detecting biases like SDR is important to ensure valid personnel selection for any organization, yet current instruments for assessing SDR are either inefficient or insufficient. In this paper, we propose a novel approach to appraise job applicants’ SDR tendency by employing Artificial Intelligence (AI)-based techniques. Our study extracts thousands of image and voice features from the video presentation of 91 simulated applicants to train two deep learning models for predicting their SDR tendency. The result shows that our two models, namely the Deep Image Model and Deep Voice Model, can predict SDR tendency with 82.55% and 88.89% accuracy rate, respectively. The Deep Voice Model moreover outperformed the baseline model built on a popular deep learning algorithm ResNet by 4.35%. These findings suggest that organizations can use AI driven technologies to assess job applicants’ SDR tendency during recruitment and improve the performance of their personnel selection.

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