Towards a Dynamic Model of Business IT Alignment Using Enterprise Architecture: A Comparative Study

Ettahiri, Imane; Doumi, Karim; Zellou, Ahmed

doi:10.1007/978-3-031-20601-6_58

Cited by 1 publication

(5 citation statements)

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“…This enrichment is ensured by simulations, expert recommendations, and sharing with other knowledge bases. This model enables dynamic enterprise architecture guided by flexibility, agility, adaptiveness, modularity, and which aligns with the proposed architectural principles [7].…”

Section: Methodsmentioning

confidence: 81%

“…Building on our previous works and the insights provided by Mirsalari and Ranjbarfard [32], we have developed an EA evaluation model that is based on five criteria, each of which is aligned with a specific architectural principle. At the outset of our work, we compiled a list of architectural principles that our solution must adhere to [7]. An architectural principle is a statement that prescriptively specifies a property of a design artifact that is essential to meet its requirements [33].…”

Section: Methodsmentioning

confidence: 99%

“…We have reviewed various approaches and studies that explore the dynamic aspects of enterprise architecture, using five criteria to evaluate them. Our evaluation is presented in Table 2, which includes the first six approaches/studies that were evaluated in previous research [7]. Additionally, we have provided our evaluation of the proposed approach in the last column.…”

Section: Methodsmentioning

confidence: 99%

“…It is the inverse of static and is extensively investigated in fields including sociology, bacteriology, mechanics, statistics, geophysics and hydrology. Because dynamic is still a difficult paradigm [6], we attempted to investigate various aspects of dynamics in enterprise architecture in our earlier study [7]. As observed, the dynamic aspect of enterprise architecture varies in accordance with the decomposition prism used: dynamic capabilities view, viewpoint view (with the Zachman meaning), service view, dynamic design layer view and agility-centric view.…”

Section: Related Work 21 Dynamic Enterprise Architecturementioning

confidence: 99%

“…Explanatory studies aid in the development of an improved comprehension of complicated EA reality for trustworthy representation, as well as a deeper comprehension of dynamic capabilities of EA for organizational benefits. We categorized the six studied approach on: dynamic service-oriented approach, dynamic pattern-oriented approach, dynamic capabilities-oriented approach, chaos theory approach, and agility centric approach [7]. In our works, we attempted to create a model as accurate as possible, to gather the largest number of benefits presented in previous work.…”

Section: Related Work 21 Dynamic Enterprise Architecturementioning

confidence: 99%

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A novel dynamic enterprise architecture model: leveraging MAPE-K loop and case-based reasoning for context awareness

Ettahiri,

Doumi

2024

IJECE

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Nowadays, enterprises are required to take the uncertainty of the environment as decisive factor of success. For this reason, Enterprises should be prepared up-stream to react dynamically to the turbulent context. Considering that enterprise architecture is a tool drawing a blueprint that gives a holistic view of the enterprise, this blueprint should be able to represent this awareness to context and implements the techniques and mechanisms to react in a dynamic manner depending on the triggers of change. In this paper, the proposed model stipulates a “context-awareness” that monitors the internal and external context, and then adapt its reaction in alignment with the prefixed goals. The operationalization of our conception is realized through the monitor-analyze-plan-execute-knowledge (MAPE-K) loop, the case-based reasoning and machine learning techniques organized and orchestrated through a global algorithm of 6 main functions to monitor, compare, analyze, plan, execute and enrich the knowledge base. The results are verified in the light of a case study that demonstrates the applicability of our proposed model.

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Section: Methodsmentioning

confidence: 81%