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Leveraging business-IT alignment through enterprise architecture—an empirical study to estimate the extents

Alaeddini, Morteza, Asgari, Hamed, Gharibi, Arash, Rashidirad, Mona (2016) Leveraging business-IT alignment through enterprise architecture—an empirical study to estimate the extents. Information technology and management, 18 . pp. 55-82. ISSN 1385-951X. E-ISSN 1573-7667. (doi:10.1007/s10799-016-0256-6) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:97843)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://dx.doi.org/10.1007/s10799-016-0256-6

Abstract

Achieving business-IT alignment (BITA) as a long-term and appraising management issue can be accomplished in a few ways, enterprise architecture (EA) being one of them. This paper attempts to give a critical understanding of the effects of performing EA on different aspects of BITA maturity through a global survey. A total of 236 respondents from 60 countries, a relatively large response for a survey, were selected. The main purpose of the research is to examine these impacts and to identify directions for innovative practices in the future, the unique contributions of this work. A questionnaire designed on the Luftman’s maturity model as well as various other statistical methods, including PLS path modeling, Wilcoxon matched-pairs signed-ranks test and Mann–Whitney U test, are applied to understand how the EA can deliver benefits. The implications of our findings in this study as well as its limitations are discussed from different viewpoints to enable both academics and practitioners to detect the flaws in the existing EA frameworks and propose improvements.

Item Type: Article
DOI/Identification number: 10.1007/s10799-016-0256-6
Uncontrolled keywords: Enterprise architecture; Business-IT alignment (BITA); Luftman's maturity model; Partial least squares (PLS)
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Tracey Pemble
Date Deposited: 07 Nov 2022 14:17 UTC
Last Modified: 10 Nov 2022 16:37 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/97843 (The current URI for this page, for reference purposes)

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