Sudan Prasad Uprety, Seung Ryul Jeong, Journal of Internet Computing and Services, Vol. 14, No. 6, pp. 25-32, Dec. 2013
10.7472/jksii.2013.14.6.25, Full Text:  HTML
Keywords: IS personnel selection and evaluation, Fuzzy ART, ART model, Multiple Criteria Decision Making (MCDM), Jaccard choice function

Abstract

Due to increasing competition of globalization and fast technological improvements the appropriate method for evaluating and selecting IS-personnel is one of the key factors for an organization's success. Personnel selection is a multi-criteria decision-making (MCDM) problem which consists of both qualitative and quantitative metrics. Although many articles have discussed various knowledge and skills IS personnel should possess, no specific model for IS personnel selection and evaluation, to our knowledge, has been published up to now. After reviewing the IS personnel's important characteristics, we propose an approach for categorizing the IS personnel based on their skills, ability, and knowledge during evaluation and selection process. Our proposed approach is derived from a model of neural network algorithm. We have adapted and implemented the fuzzy ART algorithm with Jaccard choice function. The result of an illustrative numerical example is proposed to demonstrate the easiness and effectiveness of our approach.

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