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Fatemeh Nikpay
Researcher at Information Technology University
Publications - 19
Citations - 362
Fatemeh Nikpay is an academic researcher from Information Technology University. The author has contributed to research in topics: Enterprise architecture & Enterprise architecture management. The author has an hindex of 9, co-authored 19 publications receiving 328 citations. Previous affiliations of Fatemeh Nikpay include University of Malaya & Universiti Teknologi Malaysia.
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Journal ArticleDOI
A systematic literature review on Enterprise Architecture Implementation Methodologies
TL;DR: There are still problems in components of EAIM, including: there is lack of tool support for whole part of EA implementation, there are deficiency in addressing the EAIM's practices especially in modeling, management, and maintenance.
Proceedings ArticleDOI
A Comparison Enterprise Architecture Implementation Methodologies
TL;DR: Five EA implementation methodologies including: EAP, TOGAF, DODAF, Gartner, and FEA are reviewed and compared based on designed framework to provide vast information about selected methodologies based on defined criteria.
Proceedings ArticleDOI
A Review of Critical Success Factors of Enterprise Architecture Implementation
TL;DR: Various factors from different CSF models for effective EA implementation and comparisons among models are presented, informational and useful for Enterprise Architects considering conducting research on EA and practitioners seeking to assess the 'state-of-play'.
Journal ArticleDOI
A hybrid method for evaluating enterprise architecture implementation.
TL;DR: This research provides a suitable foundation for researchers who wish to extend and continue this research topic with further analysis and exploration, and for practitioners who would like to employ an effective and lightweight evaluation method for EA projects.
Journal ArticleDOI
An effective Enterprise Architecture Implementation Methodology
Fatemeh Nikpay,Rodina Ahmad,Babak Darvish Rouhani,Mohd Naz'ri Mahrin,Shahaboddin Shamshirband +4 more
TL;DR: The aim of this research is to develop an effective EAIM to support EA implementation and identify effective EA implementation practices and the factors that impact the effectiveness of EAIM.