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

T.C. Wong; S.-C. Ngan; F.T.S. Chan; A.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, S.-C. Ngan, F.T.S. Chan, A.Y.L. Chong

Design, Manufacturing And Engineering Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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.

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	https://doi.org/10.1109/IEEM.2011.6117994
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/Territory	Singapore
City	Singapore
Period	6/12/11 → 9/12/11

Keywords

employee perception
business-IT alignment
neural network
knowledge engineering
numerical models
information technology
neural nets

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10.1109/IEEM.2011.6117994

Cite this

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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.",

keywords = "employee perception, business-IT alignment, neural network, knowledge engineering, numerical models, information technology, neural nets",

author = "T.C. Wong and S.-C. Ngan and F.T.S. Chan and A.Y.L. Chong",

year = "2011",

month = jan,

day = "1",

doi = "10.1109/IEEM.2011.6117994",

language = "English",

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pages = "635--638",

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

publisher = "IEEE",

note = "2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ; 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. IEEE, pp. 635-638, 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Singapore, 6/12/11. https://doi.org/10.1109/IEEM.2011.6117994

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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.

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KW - business-IT alignment

KW - neural network

KW - knowledge engineering

KW - numerical models

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

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