An application of artificial neural networks and genetic algorithms to personnel selection in the financial industry

Gargano, Michael L.; Marose, Robert A.; Kleeck, L. von

doi:10.1109/aiaws.1991.236592

Cited by 8 publications

(2 citation statements)

References 1 publication

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“…Together with other methods for analyzing time series, such systems may be modeled through expert systems and statistical techniques. Nevertheless, these conventional strategies are not predominantly effective due to the enlightenment in certain parts of the models [39].…”

Section: Forecastingmentioning

confidence: 99%

Reviewing the Applications of Neural Networks in Supply Chain: Exploring Research Propositions for Future Directions

Meidutė‐Kavaliauskienė

Taşkin

Ghorbani

et al. 2022

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Supply chains have received significant attention in recent years. Neural networks (NN) are a technique available in artificial intelligence (AI) which has many supporters due to their diverse applications because they can be used to move towards complete harmony. NN, an emerging AI technique, have a strong appeal for a wide range of applications to overcome many issues associated with supply chains. This study aims to provide a comprehensive view of NN applications in supply chain management (SCM), working as a reference for future research directions for SCM researchers and application insight for SCM practitioners. This study generally introduces NNs and has explained the use of this method in five features identified by supply chain area, including optimization, forecasting, modeling and simulation, clustering, decision support, and the possibility of using NNs in supply chain management. The results showed that NN applications in SCM were still in a developmental stage since there were not enough high-yielding authors to form a strong group force in the research of NN applications in SCM.

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Section: Forecastingmentioning

confidence: 99%

Reviewing the Applications of Neural Networks in Supply Chain: Exploring Research Propositions for Future Directions

Meidutė‐Kavaliauskienė

Taşkin

Ghorbani

et al. 2022

Information

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“…In literature, there are various methods and criteria used to select the appropriate personnel for the right position. One of the primary studies on the topic found in existing literature, Gargano et al (1991), proposes a genetic algorithm and an artificial neural network to solve personnel selection problems in the finance sector.…”

Section: Introductionmentioning

confidence: 99%

An Integrated MCDM Model for Occupational Safety Specialist Selection

Öztürk

Toptancı

2017

isarder

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For businesses in the public and private sectors, the selection process of occupational safety specialist is critical since these employees identify and prevent work-related hazards. In the field of human resource management, using an effective and accurate model for the selection of these employees is especially valuable. In this study, the occupational safety specialist problem is considered for a Mutual Health and Safety Unit. The selection is made among five candidates who pass pre-selection process. An integrated multi-criteria decision making model based on Benefits, Opportunities, Costs and Risks (BOCR) criteria has been developed for this study. AHP is used to determine the weights of selection criteria and COPRAS is used to select the most pertinent personnel in correlation the selection criteria. To determine BOCR priorities a five-point scale and for other pairwise comparisons Saaty's 1-9 scale are used. The effectiveness of the proposed model is demonstrated in a real application.

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A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems

Dağdeviren

2008

J Intell Manuf

106

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An application of artificial neural networks and genetic algorithms to personnel selection in the financial industry

Cited by 8 publications

References 1 publication

Reviewing the Applications of Neural Networks in Supply Chain: Exploring Research Propositions for Future Directions

Reviewing the Applications of Neural Networks in Supply Chain: Exploring Research Propositions for Future Directions

An Integrated MCDM Model for Occupational Safety Specialist Selection

A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems

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