In a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework for adaptive business architecture modeling to address this critical concern. This research is conducted in an Australian business architecture organization using the action design research (ADR) method. The applicability of the proposed approach was demonstrated through its use in a health insurance business architecture case study using the Tableau and Jalapeno business architecture modeling platform. The proposed approach seems feasible to process business architecture data for generating essential insights and actions for adaptation.

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There is an increasing interest in embedding the security in the design of digital enterprise architecture (EA) modeling platform to secure the digital assets.Access control management (ACM) is one of the key aspects of a secure digital enterprise architecture modeling platform design. Typical enterprise architecture modeling approaches mainly focus on the modeling of business, information, and technology elements. This draws our attention to this important question: how to model ACM for a secure digital EA modeling platform to ensure secure access to digital assets? This article aims to address this important research question in collaboration with our industry partner and developed an ontology-based ACM metamodel that can be used by enterprises to model their ACM for a particular situation. This research has been conducted using the well-known action-design research (ADR) method to develop and evaluate the ACM metamodel for the secure digital EA modeling platform.