DocumentCode :
2854472
Title :
A study of measuring the impact of employee perception on business-IT alignment via neural network
Author :
Wong, T.C. ; Ngan, Shing-Chung ; Chan, Felix T S ; Chong, Alain Y L
Author_Institution :
Dept. of Syst. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
fYear :
2011
fDate :
6-9 Dec. 2011
Firstpage :
635
Lastpage :
638
Abstract :
In this study, an attempt has been made to investigate the connectivity strength of employee perception on the successful implementation of business-IT alignment. To be specific, we first justify and verify the connection between several employee perceptions and business-IT alignment through hypothesis testing, and then measure the relative importance of each perception onto business-IT alignment via neural network computation. Our findings suggested that perceived employee communication has the strongest relationship with business-IT alignment, followed by employee knowledge and employee trust. Specifically, employee communication and knowledge are two major perceptions that affect the success of the business-IT alignment.
Keywords :
business data processing; neural nets; personnel; business-IT alignment; employee knowledge; employee perception; employee trust; neural network; Companies; Data models; Educational institutions; Information technology; Knowledge engineering; Numerical models; Employee perception; business-IT alignment; neural network; relative importance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location :
Singapore
ISSN :
2157-3611
Print_ISBN :
978-1-4577-0740-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2011.6117994
Filename :
6117994
Link To Document :
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