Abstract
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Industrial Engineering and Engineering Management |
| Publisher | IEEE |
| Pages | 635-638 |
| Number of pages | 4 |
| ISBN (Print) | 9781457707407 |
| DOIs | |
| Publication status | Published - 1 Jan 2011 |
| Event | 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) - Singapore, Singapore Duration: 6 Dec 2011 → 9 Dec 2011 |
Conference
| Conference | 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 6/12/11 → 9/12/11 |
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Keywords
- employee perception
- business-IT alignment
- neural network
- knowledge engineering
- numerical models
- information technology
- neural nets
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A study of measuring the impact of employee perception on business-IT alignment via neural network. / Wong, T.C.; Ngan, S.-C.; Chan, F.T.S.; Chong, A.Y.L.
IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2011. p. 635-638.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - A study of measuring the impact of employee perception on business-IT alignment via neural network
AU - Wong, T.C.
AU - Ngan, S.-C.
AU - Chan, F.T.S.
AU - Chong, A.Y.L.
PY - 2011/1/1
Y1 - 2011/1/1
N2 - 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.
AB - 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.
KW - employee perception
KW - business-IT alignment
KW - neural network
KW - knowledge engineering
KW - numerical models
KW - information technology
KW - neural nets
UR - http://www.scopus.com/inward/record.url?scp=84856526708&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2011.6117994
DO - 10.1109/IEEM.2011.6117994
M3 - Conference contribution book
SN - 9781457707407
SP - 635
EP - 638
BT - IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE
ER -