Work

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

Year: 2014

Type: article

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.

Source: International Journal of Computational Intelligence Systems

DOI: 10.1080/18756891.2014.960233

Authors: Chin-Nung Liao, Hsing-Pei Kao

Institutions: China University of Science and Technology, National Central University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,490

OpenAlex ID: W2059629606