Please use this identifier to cite or link to this item:
Using the Integration Models for Evaluating the Improvement Strategies of Cloud Service System Adoption
Cloud Computing Technology
Task-Technology Fit (TTF)
Information System Success Model (ISSM)
DEMATEL based Network Process (DNP)
Structural Equation Modeling (SEM)
The advances in information and communication technology (ICT) and rapidly diffused novel consumer electronics products increase demands accelerates the adoptions of cloud computing applications. However, evaluation and application of cloud-based applications is always challenging for information technology (IT) managers’ decisions of technology adoption. Though some leading firms have already adopted the cloud computing based systems, a lot of firms still have barriers to do so. Therefore, an analysis and evaluation of factors influencing the adoption and the final success of the cloud service based systems are very critical. However, past researches on related issues are very limited. Thus, this research aims to develop an analytic framework to derive critical factors influencing the adoption and the final success of the cloud based systems. At first, the literature being related to the Task-Technology Fit Model (TTF), Information System Success Model (IS Success Model) as well as recent advances in the cloud computation technology will be reviewed. Then, a multiple criteria decision making (MCDM) framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) based Network Process (ANP) will be introduced for constructing the decision problem and deriving weights versus each criterion based on experts’ opinions. Further, the theoretical framework and corresponding hypotheses will be tested based on business users’ opinions by using the structural equation modeling (SEM) method. Finally, the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the tool for ranking the alternatives will be proposed for defining strategies for enhancing the adoption as well as information system success rate. An empirical analysis based on the cloud computation services being provided by China Telecom Corp. Taiwan will be used for verifying the feasibility of the analytic framework. The empirical study based on industrial experts present that user satisfaction is the most important. In adoption strategies that resources flexibility, low cost, and integration are the best. The results of this research can serve as the basis for marketing and R&D strategy definitions for cloud computation service providers. The analytic framework can also serve as the basis for strategy definitions aiming to enhance the adoption rate as well as successes of other information systems.
|Appears in Collections:||學位論文|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.