TY - JOUR
T1 - Leveraging business-IT alignment through enterprise architecture-an empirical study to estimate the extents
AU - Alaeddini, Morteza
AU - Asgari, Hamed
AU - Gharibi, Arash
AU - Rashidirad, Mona
N1 - This is a post-peer-review, pre-copyedit version of an article published in Inf Technol Manag. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10799-016-0256-6
PY - 2016/3/21
Y1 - 2016/3/21
N2 - 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.
AB - 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.
U2 - 10.1007/s10799-016-0256-6
DO - 10.1007/s10799-016-0256-6
M3 - Article
SN - 1385-951X
VL - 18
SP - 55
EP - 82
JO - Information Technology & Management
JF - Information Technology & Management
IS - 1
ER -