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 aim of this paper is to examine valuer judgement behaviour, by exploring the manifestation of task complexity in Dutch commercial valuation practice. For this purpose, we adopted a grounded theory approach and undertook 18 in-depth interviews with senior valuation professionals across the Netherlands. Our findings indicate a strong presence of situational task complexity in commercial valuation practice, as professionals operating in large valuation teams perceive different elements of task complexity throughout commercial valuation practice in comparison to peers working in small valuation teams or self-employed valuers. Further, coping strategies used to deal with task complexity vary substantially by type of valuer as well. From our data, we deducted three types of task environment constructs in which valuers operate, which basically represent the various levels of professional standards required by clients as well as organisational settings composed to meet client standards. As such, we found that task environment settings strongly coincide with perceptions of task complexity. The presence of situational task complexity in commercial real estate valuation practice points to the need for customisation of professional valuer’s development programs to facilitate valuers to deal with task complexity in different stages of valuation practice and hence contribute to advancing valuer judgement skills.
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Engineering students have to learn to create robust solutions in professional contexts where new technologies emerge constantly and sometimes disrupt entire industries. The question rises if universities design curricula that enable engineering students to acquire these cognitive skills. The Cynefin Framework (Kurtz & Snowden, 2003; Snowden & Boone, 2007) can be used to typify four complexity contexts a system or organisation can be found in: chaos, complex, complicated and obvious.The Cynefin framework made it possible to create the research question for a case-study: To what extend does the Business Engineering curriculum enable bachelors to find business solutions in the complexity contexts of the Cynefin framework? The results show that 80% of the methods are suitable for complicated contexts and no distinction is made between contexts. This means students are taught to approach most contexts in the same way and are not made aware of differences between the contexts. Making sense of the methods in the curriculum with the Cynefin framework was insightful and suggestions for improvement and further research could be substantiated
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