AHP-Based Framework for Optimizing, and Decision-Support in Enterprise Architecture Implementation

Enterprise architecture (EA) offers an integrated framework for strategic planning and organizational governance. Implementing EA effectively requires prioritizing a concise set of criteria within a complex system, leveraging mathematical modeling and optimization to inform decisions under uncertainty. This study introduces a hierarchical decision-making approach using Analytic Hierarchy Process (AHP) to extract and weight the most impactful criteria from an extensive literature base and expert opinions, with a focus on control-theoretic and optimization perspectives. Using insights from ۱۸ experts from various fields and the proposed approach, key criteria of successful enterprise architecture deployment were identified and quantified: commitment (۰.۱۱۴۳), governance (۰.۱۰۸۲), infrastructure (۰.۰۷۵۱), organizational management (۰.۰۵۸۹), and senior management support (۰.۰۴۸۴). The methodology integrates weights with objective-function considerations, sensitivity analyses, and optimization-oriented interpretations to ensure robust prioritization under uncertainty. The resulting framework supports decision-makers in (i) controlling and steering EA initiatives, (ii) optimizing resource allocation and process efficiencies, and (iii) designing data-driven, scenario-based decision models for dynamic organizational environments. These findings offer actionable guidance for managers aiming to enhance performance, reduce costs, and secure competitive advantage through disciplined governance, rigorous modeling, and evidence-based decision support.

کلیدواژه ها:

Enterprise architecture ، Optimization ، Analytic Hierarchy Process ، Decision Support System ، Strategic Alignment