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  • 标题:FACTORS AFFECTING THE ADOPTION OF CLOUD COMPUTATIONS ON COMPANY PERFORMANCE
  • 本地全文:下载
  • 作者:ANDERES GUI ; KAISAR YUWANA PANGESTU ; FRANSISCA HANITA RUGOSWANTO
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2021
  • 卷号:99
  • 期号:14
  • 语种:English
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Industry 4.0, while not fully implemented, has seen many companies starting to strategise their future business process. Companies have started to look at Industry 4.0 technologies that companies can adopt to remain competitive. One of the widely available technologies is cloud computing, which helps companies perform data storage and computation. This study aims to investigate the effect of cloud computing adoption by describing the TAM-TOE model on the factors that affect cloud computing to improve company performance. The variables tested in this study consists of independent variables, namely Technology Context (TC), Organizational Context (OC), Environment Context (EC), Perceived Usefulness (PU), Perceived Ease of Use (PE), Attitude (A), and Behavioral Intention (BI). The sample used in this study was taken using a cross-sectional design method where 127 respondents were selected as samples. The analytical method, in this case, used multiple linear regression analysis using SPSS version 26 statistical software. The results showed that TC, EC, PU, and A affected company performance, but OC and PE did not affect. The result shows that companies agreed that cloud computing is practical and can improve the company's performance. However, the respondents agree that the current cloud computing technology will disrupt the company's business performance and migrating to cloud computing is challenging. This study recommends that the government should introduce policies such as tax incentive and encourage collaboration with other developed nations to foster the adoption of cloud computing and other Industry 4.0 technologies.
  • 关键词:TAM;TOE;Organizational Context;Behavioral Intention;Cloud Computi
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