Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
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A fuzzy ART Approach for IS Personnel Selection and Evaluation

정보시스템 인력의 선발 및 평가를 위한 퍼지 ART 접근방법

  • Received : 2013.10.24
  • Accepted : 2013.11.29
  • Published : 2013.12.31
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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.

국제적 경쟁이 치열해지고 급속한 기술발전이 진행되고 있는 기업환경에서 좋은 정보시스템 인력을 선발하고 평가할 수 있는 방법은 매우 중요한 이슈이다. 그럼에도 불구하고 정보시스템 인력이 보유해야 할 지식과 스킬에 대해서는 많은 연구가 진행되었지만 이들 인력을 선발하고 평가하는 방법에 대해서는 그렇지 못한 것이 사실이다. 인력 선발은 정성적인 측정치와 정략적인 측정치 모두를 포함하는 다기준 의사결정 문제인데 본 연구에서는 정보시스템 인력의 스킬, 능력, 지식에 기초하여 이들의 선발과 평가 과정에서 이들을 분류할 수 있는 모형을 제시하였다. 본 모형은 신경망 알고리즘 모형에서 도출한 것으로서 Jaccard 선택함수 기반의 퍼지 ART 알고리즘을 적용하였다. 실제 인사자료를 활용하여 제안된 모형의 사용 용이성과 효과성을 검정해 본 결과 본 접근방법이 필드에서 충분히 활용될 수 있는 것으로 판단되었다.

Keywords

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