Assessing Resilience in Enterprise Architecture Report Writing - Management Assignment Help

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Abstract—

This review paper aims to explore state-of-the-art research and scientific literature about Enterprise Architecture (EA) resilience. Based on a systematic literature review, 850 articles have been subjected to evaluation for relevance. Based on the findings in 58 selected papers, we conclude that the field of EA resilience is still in its infancy. We identified several definitions and classified six types of resilience measures, based on information type (qualitative/quantitative), the source of the disruption (internal/external), and the duration of the resilience (short-term/long-term). Based on the review, we found 19 metrics that are candidates for EA practitioners to consider for the design of measurement and assessment methods for EA resilience. In addition, we identified relevant research from Information Systems sub-domains and other sciences that can be incorporated to create a holistic view on EA resilience. Based on published definitions of resilience in the selected papers, we propose a definition of the concept of EA resilience. This definition is validated using expert opinion and creates a starting point for reasoning about EA resilience and future research.

Keywords—resilience, enterprise architecture, systematic review, assessment, metrics, strategy I.

INTRODUCTION

During the last decade, many new and complex challenges have arisen due to technological advancements, societal- and environmental changes. The most recent example of such a challenge is the COVID-19 pandemic, which disrupted every aspect of our daily lives and forced us to adapt to completely new and unexpected circumstances. One of the aspects that the COVID-19 pandemic has highlighted over the past few months, is that there is a strong need for system-wide resilience. This design requirement can be realized using Enterprise Architecture (EA). Specifically, the ability of organizations to design resilient EAs and to assess EA resilience is becoming increasingly important for dealing with uncertainty. However, the concept of resilience is widely studied since the seventies, little research and literature is available about EA resilience and the implications. Existing research and literature about EA resilience is scattered; little is known about the possible approaches that organizations and EA practitioners can consider to EA resilience and its related design, measurement, and control

BACKGROUND

For the past 40 years, scholars in multiple fields have explored various facets of resilience. The first accepted and best-known definition of ’resilience’ stems from the work of Holling (1973) on stability and resilience in ecological systems [2]. Since then, resilience was studied in other domains and disciplines, including engineering, psychology, sociology, and subject to structured literature reviews [3]. Additional systematic reviews are conducted to study resilience both from the perspective of the organization and supply chain [4]. Most recently, Morisse et al. [5] explored Resilience for industry 4.0 manufacturers and reflected on its application? by using the metaphor of building a house. Comprehension of the environment and understanding of an organization’s systems forms the foundation of a building. Its main construction relies on four pillars: people, process, technologies, and information

RESEARCH METHOD

A. Systematic Literature Review Method To structure our research, the well-established Systematic Literature Review (SLR) method of [1] is chosen. Following these guidelines and shown in Fig. 1, our SLR is carried out in three stages: planning, conducting and documentation. The first stage, planning, includes formulating research questions and developing a review protocol. The second stage, conducting, is about performing research: deciding on exclusion and inclusion criteria, relevant databases and performing a search. The third stage, documentation, is a study selection part, where the list of included and excluded studies is created, and the “quality” of primary studies is assessed.

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