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

T. C. Wong; Shing Chung Ngan; Tung Sun 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
, Tung Sun Chan
, Alain Y.L. Chong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › 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.

Original language	English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Pages	635-638
Number of pages	4
DOIs	https://doi.org/10.1109/IEEM.2011.6117994
Publication status	Published - 1 Dec 2011
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore Duration: 6 Dec 2011 → 9 Dec 2011

Conference

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

Keywords

business-IT alignment
Employee perception
neural network
relative importance

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

More information

10.1109/IEEM.2011.6117994

Cite this

@inproceedings{0ebd7b03c58c4350b46a80504129d3b5,

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

author = "Wong, \{T. C.\} and Ngan, \{Shing Chung\} and Chan, \{Tung Sun\} and Chong, \{Alain Y.L.\}",

year = "2011",

month = dec,

day = "1",

doi = "10.1109/IEEM.2011.6117994",

language = "English",

isbn = "9781457707391",

pages = "635--638",

booktitle = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011",

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

}

Wong, TC, Ngan, SC, Chan, TS & 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, IEEM2011., 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, Tung Sun et al.
IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011. 2011. p. 635-638 6117994.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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, Shing Chung

AU - Chan, Tung Sun

AU - Chong, Alain Y.L.

PY - 2011/12/1

Y1 - 2011/12/1

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 - business-IT alignment

KW - Employee perception

KW - neural network

KW - relative importance

UR - https://www.scopus.com/pages/publications/84856526708

U2 - 10.1109/IEEM.2011.6117994

DO - 10.1109/IEEM.2011.6117994

M3 - Conference article published in proceeding or book

SN - 9781457707391

SP - 635

EP - 638

BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011

Y2 - 6 December 2011 through 9 December 2011

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this