A QFD Approach for Cloud Computing Evaluation and Selection in KMS: A Case Study

DOI

10.1080/18756891.2014.960233How to use a DOI?

Keywords

cloud computing, knowledge management systems (KMS), analytical hierarchy process (AHP), quality function development (QFD), multi-choice goal programming (MCGP)

Abstract

Cloud computing services are a new information technology trend for business applications in knowledge management systems (KMS). The link between cloud computing services and KMS is a new concept, and methods for selecting multiple choice goals of cloud computing service provider have lacked a formal reference framework. From the perspectives of customer needs and technology requirements, selecting the right cloud computing service supplier for KMS is a key strategic consideration. This paper presents an integrated analytical hierarchy process (AHP), quality function development (QFD) and multi-choice goal programming (MCGP) method to address the cloud computing service provider selection problem in KMS for information service. To show the practicality and usefulness of the proposed method, a case study of a Taiwanese textbook company is presented. This paper shows that the proposed model is a good decision-making tool for the selection of new information technology.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Chin-Nung Liao
AU  - Hsing-Pei Kao
PY  - 2014
DA  - 2014/10/01
TI  - A QFD Approach for Cloud Computing Evaluation and Selection in KMS: A Case Study
JO  - International Journal of Computational Intelligence Systems
SP  - 896
EP  - 908
VL  - 7
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.960233
DO  - 10.1080/18756891.2014.960233
ID  - Liao2014
ER  -