A study of measuring the impact of employee perception on business-IT alignment via neural network
Wong, T.C. and Ngan, S.-C. and Chan, F.T.S. and Chong, A.Y.L.; (2011) A study of measuring the impact of employee perception on business-IT alignment via neural network. In: IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, SGP, pp. 635-638. ISBN 9781457707407 (https://doi.org/10.1109/IEEM.2011.6117994)
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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.
ORCID iDs
Wong, T.C. ORCID: https://orcid.org/0000-0001-8942-1984, Ngan, S.-C., Chan, F.T.S. and Chong, A.Y.L.;-
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Item type: Book Section ID code: 46796 Dates: DateEvent1 January 2011PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 21 Feb 2014 09:50 Last modified: 11 Nov 2024 14:54 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/46796