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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Pages635-638
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore
Duration: 6 Dec 20119 Dec 2011

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Country/TerritorySingapore
CitySingapore
Period6/12/119/12/11

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

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