Companies are organised to fulfil two distinctive functions: efficient and resilient exploitation of current business and parallel exploration of new possibilities. For the latter, companies require strong organisational infrastructure such as team compositions and functional structures to ensure exploration remains effective. This paper explores the potential for designing organisational infrastructure to be part of fourth order subject matter. In particular, it explores how organisational infrastructure could be designed in the context of an exploratory unit, operating in a large heritage airline. This paper leverages insights from a long-term action research project and finds that building trust and shared frames are crucial to designing infrastructure that affords the greater explorative agenda of an organisation. https://doi.org/10.33114/adim.2019.07.227 LinkedIn: https://www.linkedin.com/in/christine-de-lille-8039372/
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The video cut-up piece Order of Magnitude features Mark Zuckerberg’s obsession with growth. Instead of taking the traditional critical approach, Ben Grosser magnifies particular words that return in each and every one of his sentences: ‘MORE’, billion, trillion, etc. Ben Grosser: ‘Covering the earliest days of Facebook in 2004 up through Zuckerberg’s compelled appearances before the US Congress in 2018, I viewed every one of these recordings and used them to build a supercut drawn from three of Mark’s most favoured words: more, grow, and his every utterance of a metric such as two million or one billion.’
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Dynamic stall phenomena carry the risk of negative damping and instability in wind turbine blades. It is crucial to model these phenomena accurately to reduce inaccuracies in predicting design driving (fatigue and extreme) loads. Some of the inaccuracies in current dynamic stall models may be due to the fact that they are not properly designed for high angles of attack and that they do not specifically describe vortex shedding behaviour. The Snel second-order dynamic stall model attempts to explicitly model unsteady vortex shedding. This model could therefore be a valuable addition to a turbine design software such as Bladed. In this paper the model has been validated with oscillating aerofoil experiments, and improvements have been proposed for reducing inaccuracies. The proposed changes led to an overall reduction in error between the model and experimental data. Furthermore the vibration frequency prediction improved significantly. The improved model has been implemented in Bladed and tested against small-scale turbine experiments at parked conditions. At high angles of attack the model looks promising for reducing mismatches between predicted and measured (fatigue and extreme) loading, leading to possible lower safety factors for design and more cost-efficient designs for future wind turbines.
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Measuring values in sociological research sometimes involves the use of ranking data. A disadvantage of a ranking assignment is that the order in which the items are presented might influence the choice preferences of respondents regardless of the content being measured. The standard procedure to rule out such effects is to randomize the order of items across respondents. However, implementing this design may be impractical and the biasing impact of a response order effect cannot be evaluated. We use a latent choice factor (LCF) model that allows statistically controlling for response order effects. Furthermore, the model adequately deals with the known issue of ipsativity of ranking data. Applying this model to a Dutch survey on work values, we show that a primacy effect accounts for response order bias in item preferences. Our findings demonstrate the usefulness of the LCF model in modeling ranking data while taking into account particular response biases.
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Dynamic stall phenomena bring risk for negative damping and instability in wind turbine blades. It is crucial to model these phenomena accurately to reduce inaccuracies in predicting design driving (fatigue) loads. Inaccuracies in currentdynamic stall models may be due to the facts that they are not properly designed for high angles of attack, and that they do not 10 specifically describe vortex shedding behaviour. The Snel second order dynamic stall model attempts to explicitly model unsteady vortex shedding. This model could therefore be a valuable addition to DNV GL’s turbine design software Bladed. In this thesis the model has been validated with oscillating airfoil experiments and improvements have been proposed for reducing inaccuracies. The proposed changes led to an overall reduction in error between the model and experimental data. Furthermore the vibration frequency prediction improved significantly. The improved model has been implemented in Bladed and tested 15 against small scale turbine experiments at parked conditions. At high angles of attack the model looks promising for reducing mismatches between predicated and measured (fatigue) loading. Leading to possible lower safety factors for design and more cost efficient designs for future wind turbines.
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Internet memes are rewarded with popularity for their repetition of recognizable ideas. Likewise, meme communities tend to adopt a politics that is conservative - especially when the source material readily lends itself to that very politics. In the case of Star Wars, a tale of heroism is being twisted into a sincere veneration of the villain, and an emulation of his violence and tyranny.
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In social settings, people often need to reason about unobservablemental content of other people, such as their beliefs, goals, orintentions. This ability helps them to understand, to predict, and evento influence the behavior of others. People can take this ability furtherby applying it recursively. For example, they use second-order theory ofmind to reason about the way others use theory of mind, as in ‘Alicebelieves that Bob does not know about the surprise party’. However,empirical evidence so far suggests that people do not spontaneously usehigher-order theory of mind in strategic games. Previous agent-basedmodeling simulations also suggest that the ability to recursively applytheory of mind may be especially effective in competitive settings. Inthis paper, we use a combination of computational agents and Bayesianmodel selection to determine to what extent people make use of higherordertheory of mind reasoning in a particular competitive game, theMod game, which can be seen as a much larger variant of the well-knownrock-paper-scissors game.We let participants play the competitive Mod game against computationaltheory of mind agents. We find that people adapt their level oftheory of mind to that of their software opponent. Surprisingly, knowinglyplaying against second- and third-order theory of mind agents enticeshuman participants to apply up to fourth-order theory of mindthemselves, thereby improving their results in the Mod game. This phenomenoncontrasts with earlier experiments about other strategic oneshotand sequential games, in which human players only displayed lowerorders of theory of mind.
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Active participation of stakeholders in health research practice is important to generate societal impact of outcomes, as innovations will more likely be implemented and disseminated in clinical practice. To foster a co-creative process, numerous frameworks and tools are available. As they originate from different professions, it is not evident that health researchers are aware of these tools, or able to select and use them in a meaningful way. This article describes the bottom-up development process of a compass and presents the final outcome. This Co-creation Impact Compass combines a well-known business model with tools from design thinking that promote active participation by all relevant stakeholders. It aims to support healthcare researchers to select helpful and valid co-creation tools for the right purpose and at the right moment. Using the Co-creation Impact Compass might increase the researchers’ understanding of the value of co-creation, and it provides help to engage stakeholders in all phases of a research project.
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Previous research has shown that female persistent offenders have multiple psychiatric and psychosocial problems, such as substance use disorders, other mental disorders, financial problems and housing problems. The present study examined recidivism and predictors of recidivism in a sample of 74 Dutch female high level persistent offenders who had been subjected to a special court order for persistent offenders, called ISD [Inrichting Stelselmatige Daders]. The criminal records were studied to gain insight in the criminal charges against women after release from the ISD. Results showed that 43% of the persistent female offenders had registered justice contacts within one year after release, of which the majority concerned non-violent property offences. However, the number of offences was found to be significantly reduced after their release. No offence-related, demographic, substance-related, psychiatric or personal history characteristics were found to be predictive for general recidivism.
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