From the article: The ‘Axiomatic Design Methodology’ uses ‘Axioms’ that cannot be proven nor derived from physical phenomena. The axioms serve as guidelines for the design process of products and systems. The latest contribution was the addition of the ‘Complexity Axiom’ in 1999. However, the underlying theory of complexity did not get much traction by designers and their managers yet. It emphasises difficulties in the design, not primarily focussing on solutions. The ‘Theory of Complexity’ is converted to a ‘Theory of Maturity’ in this paper. It is supported with a graphical way to plot maturity as it develops. It visualises the results in a way that can be understood by all entities in a company, engineers, managers, and executives. Understanding the maturity of a system enables selection of the right measures to control it. Visualisation enables communication between the interacting parties. If successful development trajectories are understood, eventually from earlier experience, even better corrective actions can be applied. The method appears an affirmative way to graphically represent progression in design, thus presenting advances in a positive context. Though positively presented, it is not the case that the method hides problems; presumed and legitimate project progression can be quite different, which challenges the designer to understand the process. In this way, the method sends out a continuous warning to stay critical on design choices made.
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The Centre of Research in Knowledge Organisations and Knowledge Management of Zuyd University has developed a knowledge management scan. The scan initiates from two models. The first model is based on the Value Based Knowledge Management approach (Tissen, Andriessen & Lekanne Deprez, 1998) and includes 6 basic abilities of a knowledge-intensive organisation that will enable the organisation to operate successfully in a knowledge based economy (.The second model, developed by Wierdsma and Swieringa (2002), categorises organisations according to their level of learning that is to say, how it develops a specific learning ability. Both models are briefly reviewed within this paper. This knowledge management scan is a tool that enables an organisation to assess the development of its six basic abilities. Once the organisation has a clear insight into its own abilities, it will be able to strengthen its overall learning ability and improve the organisations’ competitive position. Additionally we take a close look at our research approach for developing and implementing the knowledge management scan. The scan encompasses 15 statements per ability (90 statements in total). The complete scan will be assessed on a five-point scale by a representative group of selected employees and managers of an organization, supervised by a researcher/consultant. During the analysis of the results and the presentation of recommendations, specific attention is paid to those statements that achieve high and low scores respectively (invitation to implement improvement actions) and statements that have a relatively high spread across a broad range (differences of opinion or the statement is open to different interpretations). In particular we have examined how the knowledge management scan was put into practice in one of the departments of Zuyd University. After a short summary of the organisation's initial situation, we discuss subsequent steps taken during the assessment, analysis and the advisory process. This paragraph is followed by a concise summary of the results generated by the scan. Finally we offer the recommendations and subsequent steps to be taken to implement these advices in the near future.
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Sustainable business decision-making as villagers of the world In making our society resilient and future-proof we are faced with many complex and multi-faceted challenges and opportunities. Many promising sustainable initiatives require the proactive contribution of businesses to be successful, but fail to reach the required decision making level of individuals and companies, and thus fail to reach their positive impact. The result is a multiple waste: in creativity and innovation, in investment of the organisations involved, in opportunities to improve society and in our overall belief that we can make the necessary changes. In this project we focus on the reasons why individuals and thus companies act and decide negatively on new and existing sustainable innovations and projects, starting from the perspective that a professional’s and a company’s inherent sustainable decision making is at the heart of truly improving society. The aim is to create multiple value (economic, social and ecological) of SMEs by increasing the success rate of sustainability initiatives out of an implicit business professional’s choice to do so. Based on the theory of psychological distance, we combine exploratory case studies of successful pilots with exploratory research via interviews with business decision makers, to analyse what drives professional’s and companies’ decision making, and how this affects sustainable initiatives. The aim is to propose ways to increase the quality of sustainable decision making, and thus the likelihood of success. The learnings are translated to practical guidelines a SME should consider for executing their business in the most sustainable way, and form a base for further applied research on sustainable business behaviour towards a circular economy.
