Abstract
AbstractCloud 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.
Highlights
The power of information technology (IT) to support knowledge management activities is widely recognized [1]
8 for each cloud computing service candidates in Table 4 is used as weight values to build the multi-choice goal programming (MCGP) achievement model to fine the best candidate selection
We present a case study that was applied to Hwa Tai Publishing (HTP) to select the best cloud computing service supplier for knowledge management systems (KMS) by using the proposed quality function development (QFD) methodology
Summary
The power of information technology (IT) to support knowledge management activities is widely recognized [1] While cloud services such as webmail, Flickr and YouTube have been widely used by individuals for some time, it is not until relatively recently that organizations have begun to use cloud services as a tool for meeting their IT needs[2]. The increasing demands on the knowledge resources of KMS are forcing many businesses to consider new information services, such as cloud computing services, to obtain the best KMS support. A knowledge management manager would need to select the best cloud computing service provider to meet their business’s competitive strategy. This research will fill the gap and presents an integrated analytical hierarchy process (AHP), QFD and multi-choice goal programming (MCGP) method to address the cloud computing service selection problem for KMS.
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