Systems Thinking

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The Journey to Enterprise Agility: Systems Thinking and Organizational Legacy.

This is the first book to seriously address the disconnection between nimble Agile teams and other groups in the enterprise, including enterprise architecture, the program management office (PMO), human resources, and even business executives. When an enterprise experiments with practice improvements, software development teams often jump on board with excitement, while other groups are left to wonder how they will fit in. We address how these groups can adapt to Agile teams. More importantly, we show how many Agile teams cause their own problems, damaging scalability and sustainability, by requiring special treatment, and by failing to bridge the gaps between themselves and other groups. We call this phenomenon Agile illth. Adopting a set of best practices is not enough. All of us, Agile teams and the corporate groups, must change our intentions and worldviews to be more compatible with the success of the enterprise. Join us on the journey to enterprise agility. It is a crooked path, fraught with danger, confusion and complexity. It is the only way to reach the pinnacles we hope to experience in the form of better business value delivered faster for less cost.

Systems Thinking

The most comprehensive book about enterprise architecture and systems thinking is Beyond Alignment: Applying Systems Thinking to Architecting Enterprises.. You can download your free copy here. Patrick Hoverstadt’s book, The Fractal Organization, is the best … Read more

Tripartite Approach to Enterprise Architecture

The discipline of Enterprise Architecture (EA) is still relatively immature and incoherent. The discourse is rather fragmented and lacking a shared vocabulary. To shed some light on the situation, some schools of thought on EA have been suggested, each with its distinct concerns and set of assumptions. In this article, we aim to bring more structure and clarity to EA discourse. Not only do we review the identified types and schools of EA, but we also attempt to make sense of the underlying structural and metaphysical underpinnings of the field and to ground EA in theory. As per our analysis, requisite architecture methods and tools are contingent on the level of complexity. In particular, while best practices and linear techniques are applicable in a contained operational scope, they fall severely short in addressing complex problems pertaining to non-linear discontinuities inherent in the increasingly interconnected and global business environment. On the other hand, we view that an ideal scope of an architecture “work system” is bounded by a maximum number of people able to create a shared meaning. Accordingly, we propose that architectural work in an enterprise be divided into three distinct yet interlinked architectures: Technical, Socio-Technical, and Ecosystemic. Each of these architectures is selfregulated, based on different ontological and epistemological assumptions, has its own vertical scope, and requires its own distinct methods and tools.

A Systemic-Discursive Framework for Enterprise Architecture

This article examines, through a case study of an Australian government agency, the systemic and discursive properties of Enterprise Architecture adoption in a government enterprise. Through the lens of Luhmann’s generalised systems theory of communication, the authors argue that the manner in which organisational communication is organised throughout the Enterprise Architecture adoption process has a noticeable impact on successful implementation. Two important conclusions are made: Firstly, successful Enterprise Architecture adoption demands sustainable resonance of Enterprise Architecture as a discourse communicated in the enterprise. Secondly, misunderstanding and reshaping Enterprise Architecture as a management discourse is an inherent premise for high quality adoption. The authors propose a new theoretical model, the Enterprise Communication Ecology, as a metaphor for the communicative processes that precede, constrain, and shape Enterprise Architecture implementations. As a result, Enterprise Architecture as a discipline must adopt a systemic-discursive framework in order to fully understand and improve the quality of Enterprise Architecture management programs.

Archetypes of Organisation: Laying Systemic Enterprise Architecture Foundations at an Upstream Oil and Gas Company

Enterprise Architecture (EA), a discipline that emerged from IT with the aim to link ‘strategy to design’ provides frameworks, taxonomies and languages for organisational design. However, it lacks an appreciation of the dynamic relationship between technology and organisational evolution and the complex process of strategy. Systems Thinking (ST), a multidisciplinary science and praxis that evolved from the coming together of social systems theory, second order cybernetics and biology provides holistic and reflexive approaches for intervention into complex situations. Similar to EA, it has a number of modelling tools for describing and diagnosing organizational problems. However, it lacks precise and rigorous modelling approaches for describing technology solutions. This article explores the process and possibility of embedding systemic thinking into enterprise architecture and the practice of organisation design by carrying out theoretical research and practical inquiry in a particular oil and gas independent.

Processes of Sense-Making and Systems Thinking in Government EA Planning

This purpose of this article is to investigate the systemic properties of Enterprise Architecture Planning (EAP) in the Australian government sector. Based on a case study of the Land and Property Management Authority of New South Wales, the article examines and outlines the crucial necessity for including systems thinking, systems learning, and organizational sense-making in Enterprise Architecture (EA) theory and planning. The main argument is based on qualitative research into the limitations of capturing and modeling organizations using EA methodologies and modeling approaches. The EA discipline, including its tools and methodologies, relies on the metaphor of engineering the enterprise and building stable taxonomies of knowledge and process. The practical reality that e-government programs are facing is technical, sociological, and messy. However, EA tends to operate within an engineering metaphor that assumes stability, predictability, and control. Here, the author highlights the necessity of an alternative, less positivist approach to EA planning in order to understand and articulate the tacit knowledge dimensions and messy, wicked problems of organizational life. Soft systems thinking, socio-technical theory, and sense-making are introduced as theoretical and practical frames to overcome these limitations and produce a better, more viable and realistic model of planning in government enterprises. These concepts are finally amalgamated into a general, integrative model of EA planning.