教師資料查詢 | 類別: 期刊論文 | 教師: 陳水蓮 Chen, Shui-lien (瀏覽個人網頁)

標題:A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services
學年106
學期2
出版(發表)日期2018/03/01
作品名稱A Comparison of Competing Models for Understanding Industrial Organization’s Acceptance of Cloud Services
作品名稱(其他語言)
著者Shui-Lien Chen; June-Hong Chen; Yung-Hsin Lee
單位
出版者
著錄名稱、卷期、頁數Sustainability 10(3), p.1-20
摘要Cloud computing is the next generation in computing, and the next natural step in the
evolution of on-demand information technology services and products. However, only a few studies
have addressed the adoption of cloud computing from an organizational perspective, which have not
proven whether the research model is the best-fitting model. The purpose of this paper is to construct
research competing models (RCMs) and determine the best-fitting model for understanding industrial
organization’s acceptance of cloud services. This research integrated the technology acceptance model
and the principle of model parsimony to develop four cloud service adoption RCMs with enterprise
usage intention being used as a proxy for actual behavior, and then compared the RCMs using
structural equation modeling (SEM). Data derived from a questionnaire-based survey of 227 firms in
Taiwan were tested against the relationships through SEM. Based on the empirical study, the results
indicated that, although all four RCMs had a high goodness of fit, in both nested and non-nested
structure comparisons, research competing model A (Model A) demonstrated superior performance
and was the best-fitting model. This study introduced a model development strategy that can most
accurately explain and predict the behavioral intention of organizations to adopt cloud services.
關鍵字cloud services;technology acceptance theory;competing model;model development strategy;structural equation modeling
語言英文
ISSN2071-1050
期刊性質國外
收錄於SSCI;
產學合作
通訊作者
審稿制度
國別瑞士
公開徵稿
出版型式,電子版
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