Article

{{post_terms.hashtags}}

Beyond Business-IT Alignment – Digital Business Strategies as a Paradigmatic Shift: A Review and Research Agenda

Since the 1990s, business-IT alignment has been considered the appropriate organizational frame for business and IT strategies. Thereafter, with the rising importance of innovative digital technologies for performance and competitiveness, the concept of digital business strategies (DBS) emerged. The fusion of business and IT strategies is presumed to account for the inevitable transformations that digital technologies triggered. This paradigmatic shift poses new challenges to practitioners and researchers, as current assumptions regarding strategizing processes need to be questioned. This study sets out to provide a structured clarification of the current digital business strategies knowledge base. It provides a threefold contribution by: 1) structuring the research efforts on digital business strategies, 2) uncovering knowledge gaps and 3) developing an agenda for future research.

Understanding the Benefits and Success Factors of Enterprise Architecture

Enterprise Architecture (EA) is considered as a solution to reduce IT implementation failure, improve profitability and enhance business-IT alignment within organizations. However, explanations and evidence of EA benefits and success factors in the existing literature are still limited. Therefore, this study aims to explore how EA creates value to organizations through a qualitative study employing interviews with EA experts. This study contributes to the current knowledge of EA by providing a validated list of EA benefits and success factors. The study identified 40 EA benefits that are grouped into five categories (operational, managerial, strategic, IT infrastructure and organizational) and thirty-seven EA success factors categorized into product quality, infrastructure quality, service delivery quality and organizational anchoring. This study offers a number of implications for research and practice.

The Enterprise and its Architecture: Ontology and Challenges

Enterprise Architecture (EA) is a set of concepts and practices based on holistic systems thinking, principles of shared language, and the long-standing disciplines of engineering and architecture. EA represents a change in how we think about and manage information technologies (ITs) and the organizations they serve. Many existing organizational activities are EA-type activities, but done in isolation, by different groups, using different tools, models, and vernaculars. EA is about bridging the chasms among these activities, from strategy to operations, and better aligning, integrating, optimizing, and synergizing the whole organization. This article: (1) posits that EA is about the architecture of the entire enterprise including its ITs

An Application of Semantic Techniques to the Analysis of Enterprise Architecture Models

Enterprise architecture (EA) model analysis can be defined as the application of property assessment criteria to EA models. Ontologies can be used to represent conceptual models, allowing the application of computational inference to derive logical conclusions from the facts present in the models. As the actual common EA modelling languages are conceptual, advantage can be taken of representing such conceptual models using ontologies. Several techniques for this purpose are widely available as part of the semantic web standards and frameworks. This paper explores the use of the aforementioned techniques in the analysis of enterprise architecture models. Namely, two techniques are used to this end: computational inference and the use of SPARQL. The aim is to demonstrate the possibilities brought by the use of these techniques in EA model analysis.

Integrating Innovation into Enterprise Architecture Management

The ability of organizations to innovate is acknowledged as an essential capability to compete in a competitive market. This paper proposes to use enterprise architecture management as a systematic approach to innovate the enterprise. The enterprise architecture approach is based on a comprehensive architecture framework which aligns the domains of business -, application – and infrastructure architecture. The framework addresses all dimensions relevant for enterprise innovation like business mod-el, organization, processes, and technology and provides appro-priate design techniques. A comprehensive architecture development process is introduced which integrates innovation as a central element for the enter-prise architecture design. The process encompasses all activities from business vision

Institutionalization of Contested Practices: A Case of Enterprise Architecture Implementation in a US State Government

Information Systems (IS) practices are often ‘institutionally contested’ when introduced into organizations. They run counter to the status quo and disrupt organizational stability. Furthermore, they contravene the normative, regulatory, and cultural-cognitive legitimacy in existing institutionalized processes. This research explores contested practices, examining the struggles and techniques IS organizations use to legitimize and institutionalize them. Using an institutional change and translation perspective, we investigate a case of Enterprise Architecture (EA) implementations in a US state government, highlighting the struggles in translating new practices to connect to potential users and in connecting new practices to existing norms, regulations, and cultural values. We elucidate two key techniques to overcome these struggles: inductive communication to make new practices relatable to users, and the deployment of experts to local contexts to facilitate knowledge transfer. The research shows how institutional change unfolds and informs practitioners of how to legitimize EA practices.