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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With growing complexity in society, designers are entering the fields of organizational studies and social change with high levels of responsibility and, sometimes, little background knowledge of theories and recent evolution. Specifically in the fields of strategy, change, and transformation, the turn toward complexity science is gaining acceptance in both academia and practice. This article presents Imagineering as a complexity-inspired design approach to effectuate transformational objectives. It illustrates the method with an application on the city of Antwerp. The author concludes by reflecting on the implications and perspectives of the method for transformational design and for design thinking in management.
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Under the premise that language learning is bidirectional in nature, this study aimed to investigate syntactic coordination within teacher-student interactions by using cross-recurrence quantification analysis (CRQA). Seven teachers’ and a group of their students’ interactions were repeatedly measured in the course of an intervention in early science education. Results showed changes in the proportion of recurrent points; in case of simple sentences teachers and students became less coordinated over time, whereas in case of complex sentences teachers and students showed increasing coordination. Results also revealed less rigid (more flexible) syntactic coordination, although there were no changes in the relative contribution of teacher and students to this. In the light of the intervention under investigation this is an important result. This means that teachers and students learn to use more complex language and coordinate their language complexity better in order to co-construct science discourse. The application of CRQA provides new insights and contributes to better understanding of the dynamics of syntactic coordination.
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Intelligent technology in automotive has a disrupting impact on the way modern automobiles are being developed. New technology not only has brought complexity to already existing information in the car (digitization of driver instruments) but also brings new external information to the driver on how to optimize the driving style amongst others from the perspective of communicating with infrastructures (Vehicle to Infrastructure communication (V2I)). The amount of information that a driver has to process in modern vehicles is increasing rapidly due to the introduction of multiple displays and new external information sources. An information overload lies awaiting, yet current Human Machine Interface (HMI) designs and the corresponding legal frameworks lag behind. Currently, many initiatives (Pratijkproef Amsterdam, Concorda) are being developed with respect to V2I, amongst others with Rijkswaterstaat, North Holland and Brabant. In these initiatives, SME’s, like V-Tron, focus on the development of specific V2I hardware. Yet in the field of HMI’s these SME’s need universities (HAN University of Applied Science, Rhine Waal University of Applied Science) and industrial designers (Yellow Chess) to help them with design guidelines and concept HMI’s. We propose to develop first guidelines on possible new human-machine interfaces. Additionally, we will show the advantages of HMI’s that go further than current legal requirements. Therefore, this research will focus on design guidelines averting the information overload. We show two HMI’s that combine regular driver information with V2I information of a Green Light Optimized Speed Advise (GLOSA) use case. The HMI’s will be evaluated on a high level (focus groups and a small simulator study). The KIEM results in two publications. In a plenary meeting with experts, the guidelines and the limitations of current legal requirements will be discussed. The KIEM will lead to a new consortium to extend the research.
Globalization has opened new markets to Small and Medium Enterprise (SMEs) and given them access to better suppliers. However, the resulting lengthening of supply chains has increased their vulnerability to disruptions. SMEs now recognize the importance of reliable and resilient supply chains to meet customer requirements and gain competitive advantage. Data analytics play a crucial role in developing the insights needed to identify and deal with disruptions. At the company level, this entails the development of data analytic capability, a complex socio-technical process consisting of people, technology, and processes. At the supply chain level, the complexity is compounded by the fact that multiple actors are involved, each with their own resources and capabilities. Each company’s data analytic capability, in combination with how they work together to share information and thus create visibility in the supply chain will affect the reliability and resilience of the supply chain. The proposed study therefore examines how SMEs can leverage data analytics in a way that fits with their available resources and capabilities to improve the reliability and resilience of their supply chain. The consortium for this project consists of Breda University of Applied Sciences (BUas), Logistics Community Brabant (LCB), Transport en Logistiek Nederland (TLN), Logistiek Digitaal, Kennis Transport, Smink and Devoteam. Together, the partners will develop a tool to benchmark SMEs’ progress towards developing data analytic capability that enhances the reliability of their supply chain. Interviews will be conducted with various actors of the supply chain to identify the enablers and inhibitors of using data analytics across the supply chain. Finally, the findings will be used to conduct action research with the two SMEs partners, Kennis and Smink to identify which technological tools and processes companies need to adopt to develop the use of data analytics to enhance their resilience in case of disruptions.
Vulnerable pregnant women are an important and complex theme in daily practice of birth care professionals. Vulnerability is an important risk factor for maternal and perinatal mortality and morbidity. Providing care for these women is often complex. First, because it is not always easy to identify vulnerability. Secondly, vulnerable women more often cancel their appointments with midwives and finally, many professionals are involved while they do not always know each other. Even though professionals are aware of the risks of vulnerability for future mothers and their (unborn) children and the complexity of care for these women, there is no international definition for ‘vulnerable pregnancies’. Therefore, we start this project with defining a mutual definition of vulnerability during pregnancy. In current projects of Rotterdam University of Applied Sciences (RUAS) we define a vulnerable pregnant woman as: a pregnant woman facing psychopathology, psychosocial problems, and/or substance abuse combined with lack of individual and/or social resources (low socioeconomic status, low educational level, limited social network). In the Netherlands, care for vulnerable pregnant women is fragmented and therefore it is unclear for birth care professionals which interventions are available and effective. Therefore, Dutch midwives are convinced that exchanging knowledge and best practices concerning vulnerable pregnancies between midwifery practices throughout Europe could enhance their knowledge and provide midwives (SMB partners in this project) with tools to improve care for vulnerable pregnant women. The aim of this project is to exchange knowledge and best practices concerning vulnerable pregnancies between midwifery practices in several European countries, in order to improve knowledge and skills of midwives. As a result, guidelines will be developed in order to exchange selected best practices which enable midwives to implement this knowledge in their own context. This contributes to improving care for vulnerable pregnant women throughout Europe.
