期刊論文
| 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), 673 |
| 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 | en |
| ISSN | 2071-1050 |
| 期刊性質 | 國外 |
| 收錄於 | SCI SSCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | CHE |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/113075 ) |