A study of measuring the impact of employee perception on business-IT alignment via neural network

T. C. Wong; Shing-Chung Ngan; Felix T. S. Chan; Alain Y. L. Chong

doi:10.1109/IEEM.2011.6117994

A study of measuring the impact of employee perception on business-IT alignment via neural network

T. C. Wong^*, Shing-Chung Ngan, Felix T. S. Chan, Alain Y. L. Chong

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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. © 2011 IEEE.

Original language	English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management
Pages	635-638
DOIs	https://doi.org/10.1109/IEEM.2011.6117994
Publication status	Published - 2011
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore Duration: 6 Dec 2011 → 9 Dec 2011

Publication series

Name
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Place	Singapore
City	Singapore
Period	6/12/11 → 9/12/11

Research Keywords

business-IT alignment
Employee perception
neural network
relative importance

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10.1109/IEEM.2011.6117994

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title = "A study of measuring the impact of employee perception on business-IT alignment via neural network",

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. {\textcopyright} 2011 IEEE.",

keywords = "business-IT alignment, Employee perception, neural network, relative importance",

author = "Wong, {T. C.} and Shing-Chung Ngan and Chan, {Felix T. S.} and Chong, {Alain Y. L.}",

year = "2011",

doi = "10.1109/IEEM.2011.6117994",

language = "English",

isbn = "9781457707391",

pages = "635--638",

booktitle = "IEEE International Conference on Industrial Engineering and Engineering Management",

note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 ; Conference date: 06-12-2011 Through 09-12-2011",

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Wong, TC, Ngan, S-C, Chan, FTS & Chong, AYL 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., 6117994, pp. 635-638, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011, Singapore, Singapore, 6/12/11. https://doi.org/10.1109/IEEM.2011.6117994

A study of measuring the impact of employee perception on business-IT alignment via neural network. / Wong, T. C.; Ngan, Shing-Chung; Chan, Felix T. S. et al.
IEEE International Conference on Industrial Engineering and Engineering Management. 2011. p. 635-638 6117994.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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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. © 2011 IEEE.

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KW - neural network

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BT - IEEE International Conference on Industrial Engineering and Engineering Management

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Y2 - 6 December 2011 through 9 December 2011

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A study of measuring the impact of employee perception on business-IT alignment via neural network

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