Abstract

Original Text: Abstract


Nowadays, business-IT alignment (BITA) is one of the propounded issues in the information technology (IT) field, which places on the top of manager’s concerns of this context. Ensuring that IT is completely aligned with business and enables initiatives in organizations is so critical to their success. Due to this fact that the enterprise architecture (EA) is a comprehensive and strategic approach to plan and manage IT actions in the organizations such as information system (IS) development based on business requirements, we are motivated to assess the effect of this approach on the mentioned alignment. This paper reports on a study using Luftman’s maturity model as the assessment tool to determine that is there any significant relationship between the outcomes of a prosperous EA project and the maturity of BITA in Iranian organizations, and which aspect of BITA is most affected by EA. The implications of these findings and the limitations of the study are discussed in an effort to contribute to fault detection of the existing EA frameworks and proposing improvement points to cover their weaknesses and increase the maturity of BITA that is expected from EA projects.

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Revised Text:

Nowadays, business-IT alignment (BITA) is one of the popular issues in the information technology (IT) field, which places it among managers’ top concerns. Insuring that IT is completely aligned with business, and enables initiatives in organizations, is critical to their success. Due to the fact that enterprise architecture (EA) is a comprehensive and strategic approach to planning and managing IT actions in organizations, including information system (IS) development, based on business requirements we are motivated to assess the effects of this approach on the mentioned alignment.

This paper reports on a study using Luftman’s maturity model as the assessment tool to determine whether there is any significant relationship between the outcomes of a prosperous EA project, and the maturity of BITA in Iranian organizations, and which aspect of BITA is most affected by EA. The implications of these findings, and the limitations of the study, are discussed in an effort to contribute to fault detection in the existing EA frameworks, and proposes improvement points to cover their weaknesses, and increase the maturity of BITA that is expected from EA projects.

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