روش و رفتار کاربران کاوشگر و پذیرش مفهوم مقابل محاسبات بزرگ در عربستان : یک تحقیق و بررسی تجربی
EXPLORING USERS’ ATTITUDES AND INTENTIONS TOWARD THE ADOPTION OF CLOUD COMPUTING IN SAUDI ARABIA: AN EMPIRICAL INVESTIGATION
نویسندگان |
این بخش تنها برای اعضا قابل مشاهده است ورودعضویت |
اطلاعات مجله |
thescipub.com |
سال انتشار |
2014 |
فرمت فایل |
PDF |
کد مقاله |
24280 |
پس از پرداخت آنلاین، فوراً لینک دانلود مقاله به شما نمایش داده می شود.
چکیده (انگلیسی):
Over the past few years, cloud computing has evolved as one of the major advances in the field of
Information Technology (IT) utilizing third-party services. Therefore, trust in cloud vendors as well as the
determination of potential risks, such as privacy and security issues, are crucial for ensuring the successful
adoption of an appropriate cloud. Prior research have addressed the technical aspects of cloud-based
environments, such as cloud virtualization, scalability and security. Nevertheless, it is argued that the
biggest obstacle of cloud computing is not technological, rather it is perceptual or attitudinal. The adoption
of cloud computing has been central to several scholarly research areas, particularly user acceptance. This
study presents an extended Technology Acceptance Model (TAM), which integrates Trust (TR), Anxiety
(ANX) and Perceived Risk (PR), to investigate users’ attitudes and intentions toward the adoption of cloud
computing. The proposed model was empirically examined using the Structural Equation Model (SEM) to
analyze data gathered by a survey of both IT professionals and end users. The results herein suggested that
trust, anxiety and PR can be successfully integrated within the TAMs. Trust has demonstrated to have a strong
positive influence on Perceived Ease of Use (PEOU), but it had no significant effects on Perceived Usefulness
(PU). Both anxiety and PR were found to have significant negative effects on PEOU and PU. In addition,
Behavioral Intention (BI) to use the cloud can be predicted by trust, attitudes and PU, as PR was shown to
have no significant effect on BI. The proposed model, including PR, trust and anxiety, has been demonstrated
to be a true predictor of user intentions, toward the use of cloud computing, within the context of Saudi Arabia.
Keywords: Technology Acceptance, Cloud Computing, Structural Model, Trust, Perceived Risk, Saudi Arabia
کلمات کلیدی مقاله (فارسی):
پذيرش تکنولوژي ، ابر رايانه ، مدل ساختاري ، اعتماد ، خطر درک شده ، عربستان سعودي
کلمات کلیدی مقاله (انگلیسی):
Keywords: Technology Acceptance, Cloud Computing, Structural Model, Trust, Perceived Risk, Saudi Arabia
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