کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4937707 | 1434623 | 2017 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The relation of perceived benefits and organizational supports to user satisfaction with building information model (BIM)
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
In recent years, building information model (BIM) is becoming increasing popularity in architecture, engineering and construction (AEC) industry, many researchers and practitioners have verified the benefits of BIM as compared to traditional information technology, for example Autodesk CAD. As one of the key drivers of BIM adopt, BIM users are significantly impact on the success level of BIM implementation. As a factor leading to information system success and indicating the continuance intention after their initial adoption, BIM user satisfaction is studied in this work. Based on the data collected from 118 BIM engineers, this study examined the influence of five potential variables (such as attitude, perceived ease of use, perceived usefulness, top management support and management by objective) on BIM user satisfaction in AEC industry. The result from PLS (partial least square) showed that the perceived usefulness, top management support and management by objective are significantly associated with BIM user satisfaction, and the influence of management by objective on BIM user satisfaction is much stronger than top management support and perceived usefulness. Besides, perceived ease of use and attitude have a significant influence on perceived usefulness. Moreover, top management support is found to be positive associated with management by objective. Finally, the discussion of these results was presented.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 68, March 2017, Pages 493-500
Journal: Computers in Human Behavior - Volume 68, March 2017, Pages 493-500
نویسندگان
Guangbin Wang, Jiule Song,