A proposed model for measuring the aggregative risk degree of implementing E-learning ERP system

  • Authors:

  • Tsung-Han Chang;Shu-Chen Hsu

  • Affiliations:

  • Department of Information Management, Kao-Yuan University, Kaohsiung, Tiwan;Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan

  • Venue:
  • ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
  • Year:
  • 2010

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Abstract

When an organization decides to implement the e-learning ERP system, the administrators always encounter internal and external risk items or difficulties which they know even they don't know. This study therefore proposes an analytic hierarchy model to help the administrators understand the critical risk factors influence the e-learning ERP system initiation, and an aggregative risk degree is indicated which risk grade they are in. The importance weights of risk factors and possible occurrence ratings of four risk grade (high-risk, medium-risk, low-risk and none-risk) are determined by using consistent fuzzy preference relations. The relative priority weights of evaluators are taken into consideration at the same time and obtained by simple additive weighting method. By multiplying the importance weights of risk factors, possible occurrence ratings of risk grades and the relative priority weights of evaluators, the aggregative risk degree of implementing e-learning ERP system.