Enterprise Architecture

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Systematic literature review on enterprise architecture in the public sector

Enterprise architecture (EA) is an approach to improve the alignment between the organization’s business and their information technologies. It attempts to capture the status of the organizations’ business architecture, information resources, information systems, and technologies so that the gaps and weaknesses in their processes and infrastructures can be identified, and development directions planned. For this reason, EA has become a popular approach also in the public sector to increase their efficiency and ICT utilization. Yet researchers have largely ignored this context, and it seems that quite little is known about how EA is developed, implemented, or adapted in different countries and in the public sector. We thus conducted a systematic literature review to identify the major research topics and methods in studies focusing on public sector EA. We analyzed 71 identified articles from the past 15 years. Our analysis shows that the development viewpoint, case studies in developed countries, and local settings seem to form mainstream EA research in the public sector. Taken together, it seems that public sector EA is scattered, and there is no strong, single research stream. Instead the researchers conduct local case studies. This means the knowledge on EA development, implementation or adaptation, their challenges and best practices does not accumulate. There is consequently a need for more research in general, and targeted research in some specific segments.

Strategic Operating Model for Enterprise Architecture

A sophisticated framework for strategic operating model is presented here which helps develop the IT foundation in order to execute IT-Strategy. The driving force behind the projected operating model is the need of IT alignment with business. There are key approaches used in this paper to shape our operating model: a) SOA: Service orientation approach for each phase of Enterprise Architecture, b) Governance: Automated process to govern the strategy into each enterprise application, c) Evolution: Although strategy drives enterprise architecture, it also evolves in bottom-up fashion. This operating model integrates several frameworks to lead a basis of standard and effective IT.

Enterprise Architecture for The Sensing Enterprise: A Research Framework

Internet of Things (IoT) will change many things, open up opportunities and enabling something that was not possible before. IoT provides sensing capability so that enterprise has better global context awareness. This is the Sensing Enterprise, an enterprise that obtains multidimensional information from physical or virtual objects in a connected environment. This sensing capability is expected to increase the capacity and capability of the enterprise in responding to sustainability challenges. This paper proposes a research framework as an alternative guide for researchers to produce various artifacts or theories to realize The Sensing Enterprise for sustainability achievement. The method used in developing the framework is modification/adaptation of transdisciplinary research model and information system research model. This framework has three main area consist of scientific base, enterprise architecture research process and sustainability achievement.

Enterprise Thinking for Self-aware Systems

The paper aims to provide high-level guidance for architects of cyber-physical enterprises such that the nature of interactions within it as a system can be largely self-determined based on system self awareness and dynamic self-configuration, and a set of foundational guiding principles, rather than being pre-defined by an external designer or architect. The paper investigates the suitability of typical development life cycles and architectural challenges in the context of dynamic cyber-physical systems intending to utilize the power of the Internet of Things, and then goes on to define desired attributes of such systems, which need to guide suitable core architectural choices. Application of the findings is exemplified through a case study, followed by synthesis of issues and implications for further research.

An integrated conceptual model for information system security risk management supported by enterprise architecture management

Risk management is today a major steering tool for any organisation wanting to deal with information system (IS) security. However, IS security risk management (ISSRM) remains a difficult process to establish and maintain, mainly in a context of multi-regulations with complex and inter-connected IS. We claim that a connection with enterprise architecture management (EAM) contributes to deal with these issues. A first step towards a better integration of both domains is to define an integrated EAM-ISSRM conceptual model. This paper is about the elaboration and validation of this model. To do so, we improve an existing ISSRM domain model, i.e. a conceptual model depicting the domain of ISSRM, with the concepts of EAM. The validation of the EAM-ISSRM integrated model is then performed with the help of a validation group assessing the utility and usability of the model.

A measurement model to analyze the effect of agile enterprise architecture on geographically distributed agile development

Efficient and effective communication (active communication) among stakeholders is thought to be central to agile development. However, in geographically distributed agile development (GDAD) environments, it can be difficult to achieve active communication among distributed teams due to challenges such as differences in proximity and time. To date, there is little empirical evidence about how active communication can be established to enhance GDAD performance. To address this knowledge gap, we develop and evaluate a measurement model to quantitatively analyze the impact of agile enterprise architecture (AEA) on GDAD communication and GDAD performance. The measurement model was developed and evaluated through developing the AEA driven GDAD model and associated measurement model based on the extensive literature review, model pre-testing, pilot testing, item screening, and empirical evaluation through a web-based quantitative questionnaire that contained 26 different weighted questions related to the model constructs (AEA, GDAD active communication, and GDAD performance). The measurement model evaluation resulted in validated research model and 26 measures: 7 formative items for AEA, 5 reflective items for communication efficiency, 4 reflective items for communication effectiveness, 2 reflective items for each on-time and on-budget completion, and 3 reflective items for each software functionality and quality. The results indicate the appropriateness and applicability of the proposed measurement model to quantitatively analyze the impact of AEA on GDAD communication and performance.