Managerial and Ontological Issues in the Development of Enterprise Architecture: Experiences from a Case Study
Jonas Hedman and Mikael Schonström Abstract With increasing numbers and complexity of information models, it is becoming more and more important to have supporting modeling frameworks. Previous literature within this field has been descriptive, conceptual, … Read more
Physical Design Criteria for an Enterprise Architecture Repository
Rory Darling Abstract The repository is the primary physical product produced by an Enterprise Architecture (EA) program. A well designed EA repository extends specialized methodologies while avoiding the burdensome overhead of duplication. The most practical … Read more
The EARScorecard – An Instrument to Assess the Effectiveness of the EA Realization Process
Leo Pruijt, Raymond Slot, Henk Plessius, and Sjaak Brinkkemper Abstract To add value to the organization, an Enterprise Architecture Management (EAM) function should be able to realize its goals in line with the corporate strategy. … Read more
Towards Enterprise Architecture-Infused Organizations
Bjorn Cumps, Stijn Viaene, Pascal Dussart, and Joachim Vanden Brande Abstract In this article, which is based on case-study research involving 13 organizations, we focus on two specific research questions: (how) are Enterprise Architecture (EA) … Read more
Quality Attributes for Enterprise Architecture Processes
Enterprise Architecture (EA) is created, maintained, and managed through EA processes. While the quality of these processes is perceived to ultimately impact the realization of benefits from the EA approach, it has been considered in relatively few studies. Specific aspects of EA processes such as EA frameworks have been extensively studied, but there is no common understanding of the attributes that make up EA processes of high quality. In this exploratory case study, data from 14 themed interviews of EA stakeholders is utilized to identify 15 quality attributes for EA processes. These are then supplemented and validated by comparison to the hitherto existing state of research. The results provide a comprehensive framework for understanding EA process quality. They can be used to identify areas for development and define metrics for further improvement of the EA practice, and as a basis for further research.