Paper
10 April 2018 A study of factors affecting the adoption of server virtualization technology
Hsin-Ke Lu, Peng-Chun Lin, Chang-Heng Chiang, Chien-An Cho
Author Affiliations +
Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106155L (2018) https://doi.org/10.1117/12.2303398
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
It has become a trend that worldwide enterprises and organizations apply new technologies to improve their operations; besides, it has higher cost and less flexibility to construct and manage traditional servers, therefore the current mainstream is to use server virtualization technology. However, from these new technology organizations will not necessarily get the expected benefits because each one has its own level of organizational complexity and abilities to accept changes. The researcher investigated key factors affecting the adoption of virtualization technology through two phases. In phase I, the researcher reviewed literature and then applied the dimensions of “Information Systems Success Model” (ISSM) to generalize the factors affecting the adoption of virtualization technology to be the preliminary theoretical framework and develop a questionnaire; in phase II, a three-round Delphi Method was used to integrate the opinions of experts from related fields which were then gradually converged in order to obtain a stable and objective questionnaire of key factors so that these results were expected to provide references for organizations’ adoption of server virtualization technology and future studies.
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Hsin-Ke Lu, Peng-Chun Lin, Chang-Heng Chiang, and Chien-An Cho "A study of factors affecting the adoption of server virtualization technology", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106155L (10 April 2018); https://doi.org/10.1117/12.2303398
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KEYWORDS
Information technology

Data backup

Data centers

Virtual reality

Molybdenum

Internet

Quality systems

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