Author supplied, from ACM website: Architectural patterns are a helpful means for designing IT architectures, as they facilitate re-using proven knowledge (good practices) from previous exercises. Furthermore referencing a pattern in an architecture model helps improving the understandability of the model, as it directs to a comprehensive description of the pattern, but does not require to include the full description into the model. In this paper we describe how patterns can be woven into architecture models, focusing on deployment views of the IT infrastructure. Two different modeling approaches, Fundamental Modeling Concepts (FMC) and ArchiMate, are compared based on a real-world case concerning the infrastructure architecture of a large data center. This paper provides practical insights for IT architects from the industry by discussing the practical case and comparing both modeling approaches. Furthermore, it is supposed to intensify the exchange between industry experts and scientific researchers and it should motivate pursuing further research concerning patterns and IT infrastructure models.
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07/07/2015Social workers focus on changes and improvements in people’s social functioning and the social quality of society. To do so, they intervene at different levels: individuals and households (micro), groups, neighbourhoods and communities (meso), and organisations and policies (macro). Opportunities for multilevel interventions are under-utilized in the Netherlands, as social workers mainly focus on the micro level. Researchers from HAN and Movisie were asked to develop a tool which supports decision making on various intervention levels. In a design-oriented study, together with social workers, they developed SWAN (Social Work at All Levels): a conversational guide in the form of a card set, based on the theory of social quality and the decisive professional model. This tool is designed to help social workers look more broadly at a practice situation, recognise points of intervention at different levels, choose between interventions at these levels, and to justify their choices. Although social workers can use SWAN to identify intervention opportunities at all levels, it is not yet clear whether this actually leads to more interventions at meso and macro level.
MULTIFILE
10/08/2023
Over the next 10 years, the City of Amsterdam plans to develop major housing schemes provide 90,000 new homes within the existing urban fabric. At the same time, an urban renewal program is being launched to revitalize the most deprived neighbourhoods. Together, these challenges call for more evidence based designprinciples to secure liveable places. Recent development in neuroscience, provides innovative tools to examine in a measurable, cause-effect way, the relationships between the physical fabric, users’ (visual) experience and their behavior in public spaces. In neuroscience, eye-tracking technology (ET) complements brain and behavioral measures (for overview see Eckstein et al. 2017). ET is already used to evaluate the spatial orienting of attention, behavioral response and emotional and cognitive impact in neuroscience, psychology and market research (Popa et al. 2015). ET may also radically change the way we (re)design and thus, experience cities (Sita et al. 2016; Andreani 2017). Until now, eye-tracking pilot studies collected eye fixation patterns of architecture using images in a lab-setting (Lebrun 2016).In our research project Sensing Streetscapes, we take eye-tracking outdoors and explore the potential ET may offer for city design. In collaboration with the municipality of Amsterdam and the local community, the H-neighborhood is used as a single case study. The main focus for urban renewal lies in the “transition-spaces”. They connect the neighborhood with the rapidly developing adjacent areas and are vital for improving the weak social-economic status. The commonly used design principles are validated (Alexander et al. 1977; Gehl 2011, 2014; Pallasmaa 2012) and the consistency of ET is tested, alongside (walk along) interviews and behavioral observations. In the next phase, the data will be analyzed by a panel of applied psychologists and urban designers. The initial results provide valuable lessons for the use of eye-tracking in urban design research. For example, a visual pattern analysis offers more accurate images of the spatial key-elements that matter when moving through transition spaces. More sensory-based city design research is needed to gather a full understanding of the relationships between the configuration of space, users’ (visual) experience, behavioral responses and in turn, perceptual decision making.
Supermarkets are essential urban household amenities, providing daily products, and for their social role in communities. Contrary to many other countries, including nearby ones, the Netherlands have a balanced distribution of supermarkets across villages and urban neighbourhoods. However, spatial supermarket patterns, are subject to influential developments. First, due to economies of scale, there is a tendency for supermarkets to increase their catchment areas and to disappear from peripheral villages. Second, supermarkets are now mainly located in residential areas, although the urban periphery appears to be attractive for the retail sector, perhaps including the rise of hypermarkets. Third, today, online grocery shopping is still lagging far behind on other online shopping products, but a breaks through will dilute population support for in-store supermarkets and can lead to dramatic ‘game changer’ shifts with major spatial and social effects. These three important trends will reinforce each other. Consequences are of natural community meeting places at the expense of social cohesion; reduced accessibility for daily products, leading to more travel, often by car; increasing delivery flows; real estate vacancies, and increasing suburban demand increase for retail and logistics. Expected changes in supermarket patterns require understanding, but academic literature on OGS is still scarce, and does hardly address household behaviour in changing spatial constellations. We develop likely spatial supermarket patterns, and model the consequences for travel demand, social cohesion and real estate demand, as well as the distribution between online and in-store grocery shopping, by developing a stated preference experiment, among Dutch households.
Despite the recognized benefits of running for promoting overall health, its widespread adoption faces a significant challenge due to high injury rates. In 2022, runners reported 660,000 injuries, constituting 13% of the total 5.1 million sports-related injuries in the Netherlands. This translates to a disturbing average of 5.5 injuries per 1,000 hours of running, significantly higher than other sports such as fitness (1.5 injuries per 1,000 hours). Moreover, running serves as the foundation of locomotion in various sports. This emphasizes the need for targeted injury prevention strategies and rehabilitation measures. Recognizing this social issue, wearable technologies have the potential to improve motor learning, reduce injury risks, and optimize overall running performance. However, unlocking their full potential requires a nuanced understanding of the information conveyed to runners. To address this, a collaborative project merges Movella’s motion capture technology with Saxion’s expertise in e-textiles and user-centered design. The result is the development of a smart garment with accurate motion capture technology and personalized haptic feedback. By integrating both sensor and actuator technology, feedback can be provided to communicate effective risks and intuitive directional information from a user-centered perspective, leaving visual and auditory cues available for other tasks. This exploratory project aims to prioritize wearability by focusing on robust sensor and actuator fixation, a suitable vibration intensity and responsiveness of the system. The developed prototype is used to identify appropriate body locations for vibrotactile stimulation, refine running styles and to design effective vibration patterns with the overarching objective to promote motor learning and reduce the risk of injuries. Ultimately, this collaboration aims to drive innovation in sports and health technology across different athletic disciplines and rehabilitation settings.
Performance feedback is an important mechanism of adaptation in learning theories, as it provides one of the motivations for organizations to learn (Pettit, Crossan, and Vera 2017). Embedded in the behavioral theory of the firm, organizational learning from performance feedback predicts the probability for organizations to change with an emphasis on organizational aspirations, which serve as a threshold against which absolute performance is evaluated (Cyert and March 1963; Greve 2003). It postulates that performance becomes a ‘problem’, or the trigger to search for alternative procedures, strategies, products and behaviors, when performance is below that threshold. This search is known as problemistic search. Missing from this body of research, is empirically grounded understanding if the characteristics of performance feedback over time matter for the triggering function of the feedback. I explore this gap. This investigation adds temporality as a dimension of the performance feedback concept guided by a worldview of ongoing change and flux where conditions and choices are not given, but made relevant by actors and enacted upon (Tsoukas and Chia 2002). The general aim of the study is to complement the current knowledge of performance feedback as a trigger for problemistic search with an explicit process temporal approach. The main question guiding this project is how temporal patterns of performance feedback influence organizational change, which I answer in four chapters, each zooming into one sub-question.First, I focus on the temporal order of performance feedback by examining performance feedback and change sequences organizations go through. In this section time is under study and the goal is to explore how feedback patterns have evolved over time, just as the change states organizations pass through. Second, I focus on the plurality of performance feedback by investigating performance feedback from multiple aspiration levels (i.e. multiple qualitatively different metrics and multiple reference points) and how over time clusters of performance feedback sequences have evolved. Next, I look into the rate and scope of change relative to performance feedback sequences and add an element of signal strength to the feedback. In the last chapter, time is a predictor (in the sequences), and, it is under study (in the timing of responses). I focus on the timing of organizational responses in relation to performance feedback sequences of multiple metrics and reference points.In sum, all chapters are guided by the timing problem of performance feedback, meaning that performance feedback does not come ‘available’ at a single point in time. Similarly to stones with unequal weight dropped in the river, performance feedback with different strength comes available at multiple points in time and it is plausible that sometimes it is considered by decision-makers as problematic and sometimes it is not, because of the sequence it is part of. Overall, the investigation is grounded in the general principles of organizational learning from performance feedback, and the concept of time as duration, sequences and timing, with a focus on specification of when things happen. The context of the study is universities of applied sciences and hotels in The Netherlands. Project partner: Tilburg University, School of Social and Behavioral Sciences, Department of Organization Studies
