Building a Evaluation of Performance Model for the Cloud E-Learning Service Using Hybrid MCDM
Chiu-Hung Su, Hao-Lin Tzeng, Gwo‐Hshiung Tzeng · ISAHP proceedings · 2013
What is cloud e-learning service?It is an information revolution that is changing the computer usage habits of 1 billion people.An understanding of the intentions and behaviors of users with respect to cloud-service applications will be helpful for predicting whether the cloud-service applications in question will be adopted by the users and guiding the efforts of providers to enhance the functions of their software.A wide range of criteria are used to assess cloud elearning service applications, but most of these criteria have interdependent or interactive characteristics, which can make it difficult to effectively analyze and improve the services that are adopted by the users of these applications.The purpose of this study is to address this issue using a hybrid MCDM (multiple criteria decision-making) approach that includes the DEMATEL (decision-making trial and evaluation laboratory), DANP (DEMATEL-based analytic network process).By exploring the influential interrelationships between the criteria that impact the cloud e-learning service applications industry and its related value-added service content providers, this study can provide reference information with respect to operations.This approach can be used to solve interdependence and feedback problems, allowing for greater satisfaction of the actual needs of the cloud e-learning service applications industry.