Title :
An empirical study of IT potential absorptive capacity
Author_Institution :
Inf. Sch., Yunnan Univ. of Finance & Econ., Kunming, China
Abstract :
We explore capability during the process of firms´information technology adoption and implementation from organization learning perspective. According to the dimensions of absorptive capacity proposed by Zahra and George, we identify the main elements of firms´ IT potential absorptive capacity, use structural equation modeling to take empirical test. The research indicates that five factors including prior knowledge, learning intensity, organizational structure, management support and knowledge comparability, play key role on IT potential absorptive capacity.
Keywords :
DP management; information technology; organisational aspects; IT potential absorptive capacity; information technology adoption; knowledge comparability; learning intensity; management support; organization learning; organizational structure; prior knowledge; structural equation modeling; Analytical models; Companies; Information systems; Load modeling; Loading; Reliability; information adoption; information technology; knowlledge management; potential absorptive capacity;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010442