Designing solutions for complex behaviour change processes can be greatly aided by integrating insights from the behavioural sciences into design practice. However, this integration is hampered by the relative inaccessibility of behavioral scientific knowledge. Working in a multidisciplinary of design researchers and behavioural scientists may bridge the gap between the two fields. This paper shares our experiences in working as such a multidisciplinary group on a large project, amongst others consisting of the design of interventions for workplace safety. Our cooperation was fruitful, both for design researchers – being able to better structure the messiness of the design process –, behavioural scientists – gaining in ecological validity of their methods –, and commissioners – increased trust in potential outcomes of the design process. However, difficulties preventing synergy also transpired.
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Op 28 augustus 2014 heb ik een 'oral presentation' gegeven op het European Health Psychology Society congres te Innsbruck. De abstract van het artikel die ik gepresenteerd heb is gepubliceerd op de website van EHPS (zie bijgevoegd de link) The aim was to quantify the relationship between behavioural determinants and dental health behaviour among 9-18 year old children. Methods: Searches were conducted in PsycINFO, PubMed, CINAHL and EMBASE. In total 25 studies were included, which addressed 16 variables. A weighted average effect size correlation (WAES r) was calculated per determinant and dental health behaviour. According to Cohen (1988) effect sizes can be considered as small (r = 0.10), medium (r = 0.30) and large (r = 0.50). Findings: All WAES r’s were significant and revealed a positive relation between determinant and dental health behaviour. Large effects were found for coping planning and self-efficacy. Medium-to-large effects were found for the determinants: intention, affective attitude, and action planning. The WAES r was small-to-medium effects were found for: social norms, cognitive attitude, knowledge, parental oral health behaviour and parental cognitions. Discussion: Although the number of studies focusing on volitional factors are limited, the overall findings highlight the importance of volitional factors, rather than knowledge or motivational factors in explaining dental health behaviour. Refbacks There are currently no refbacks.
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This toolkit, originating from the research group Psychology for Sustainable Cities, Amsterdam University of Applied Sciences (AUAS), contains materials that help to promote behavioural change in relation to electric shared transport based in onstreet e-Mobility hubs (eHUBs). Behavioural knowledge is an essential ingredient for the successful implementation of eHUBs. Because behaviour is very dependent on the target group’s capabilities and motivation and on the social and physical context in which behaviour takes place, the research group has developed materials that municipalities can use to design a tailor-made eHUBs promotion intervention that suits their own situation. Therefore, practical examples and insights from earlier research are shared with regard to stimulating the use of eHUBs.
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After the integration of research activities, universities of applied sciences (UASs) have formulated organisational strategies to foster connections between research and education (Daas et al., 2023). Scholars stated that the behaviour of employees within UASs influences ‘the direction and tempo in which the proposed aims are reached or resisted in the wider organisation’ (Griffioen & De Jong, 2017, p. 454). Thus, employees within UASs, such as academics and lower-level managers, play a key role in establishing research-education connections (Jenkins & Healey, 2005; Van der Rijst, 2009). A recent study has shown that academics and lower-level managers connect research and education through three types of behaviours: by involving aspects of research in education, by involving aspects of education in research, and by involving aspects of research and education equally, with the first type mentioned most often (Daas & Griffioen, in review). Similar patterns are observed in previous studies highlighting how education benefits from research rather than vice versa (Taylor, 2007). However, the beliefs underpinning this behavioural focus still remain unclear. Scholars have reported factors that could influence employees in connecting research and education, such as career stages, personal abilities and the availability of resources influencing how academics combine research and teaching tasks (Coate, Barnett & Williams, 2001; Shin, 2011), and research productivity and teaching beliefs influencing how academics integrate research in teaching (Hu et al., 2015; Magi & Beerkens, 2016). Despite the important value of these insights, these studies all focus on one (set of) behaviour(s) in connecting research and education instead of considering factors influencing behaviours in connecting research and education holistically. Moreover, most of these studies consider academics instead of managers. Therefore, the purpose of this study is to investigate the beliefs underpinning the behaviour of academics and lower-level managers in UASs in connecting research and education.To study the underpinning beliefs we applied the Theory of Planned Behaviour (TPB; Ajzen, 1991) as a theoretical lens. According to the TPB, a person’s behavioural intentions are shaped through three determinants (Ajzen, 1991). Behavioural beliefs (1) refer to a person’s conceptions about the expected positive/negative outcomes of practicing the behaviour. Normative beliefs (2) consist of a person’s conceptions about whether others approve/disapprove of practicing the behaviour. Control beliefs (3) are a person's conceptions about the presumed factors that could enable/hinder in practicing the behaviour. The research question is: Which behavioural, normative and control beliefs underpin the behaviour of academics and lower-level managers in connecting research and education?
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Past research on designing for behavioural change mostly concerned linear design processes, whereas in practice, Agile design methods are increasingly popular. This paper evaluates the possibilities and limitations of using Agile design methods in theory-driven design for behavioural change. We performed a design case study, consisting of a student design team working on improving waiting experiences at Schiphol Airport security and check-in. Our study showed that Agile design methods are usable when designing for behavioural change. Moreover, the Behavioural Lenses toolkit used in the design process is beneficial in facilitating theory-driven Agile design. The combination of an Agile design process and tools to evidentially inform the design enabled the design team to formulate viable and interesting concepts for improving waiting-line experiences. However, limitations also occurred: a mismatch between the rate at which the Scream method proceeded and the time and momentum needed to conduct in-depth research.
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OBJECTIVE: To investigate the level of agreement of the behavioural mapping method with an accelerometer to measure physical activity of hospitalized patients. DESIGN: A prospective single-centre observational study. SETTING: A university medical centre in the Netherlands. SUBJECTS: Patients admitted to the hospital. MAIN MEASURES: Physical activity of participants was measured for one day from 9 AM to 4 PM with the behavioural mapping method and an accelerometer simultaneously. The level of agreement between the percentages spent lying, sitting and moving from both measures was evaluated using the Bland-Altman method and by calculating Intraclass Correlation Coefficients. RESULTS: In total, 30 patients were included. Mean (±SD) age was 63.0 (16.8) years and the majority of patients were men (n = 18). The mean percentage of time (SD) spent lying was 47.2 (23.3) and 49.7 (29.8); sitting 42.6 (20.5) and 40.0 (26.2); and active 10.2 (6.1) and 10.3 (8.3) according to the accelerometer and observations, respectively. The Intraclass Correlation Coefficient and mean difference (SD) between the two measures were 0.852 and -2.56 (19.33) for lying; 0.836 and 2.60 (17.72) for sitting; and 0.782 and -0.065 (6.23) for moving. The mean difference between the two measures is small (⩽2.6%) for all three physical activity levels. On patient level, the variation between both measures is large with differences above and below the mean of ⩾20% being common. CONCLUSION: The overall level of agreement between the behavioural mapping method and an accelerometer to identify the physical activity levels 'lying', 'sitting' and 'moving' of hospitalized patients is reasonable.
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Valuation judgement bias has been a research topic for several years due to its proclaimed effect on valuation accuracy. However, little is known on the emphasis of literature on judgement bias, with regard to, for instance, research methodologies, research context and robustness of research evidence. A synthesis of available research will establish consistency in the current knowledge base on valuer judgement, identify future research opportunities and support decision-making policy by educational and regulatory stakeholders how to cope with judgement bias. This article therefore, provides a systematic review of empirical research on real estate valuer judgement over the last 30 years. Based on a number of inclusion and exclusion criteria, we have systematically analysed 32 relevant papers on valuation judgement bias. Although we find some consistency in evidence, we also find the underlying research to be biased; the methodology adopted is dominated by a quantitative approach; research context is skewed by timing and origination; and research evidence seems fragmented and needs replication. In order to obtain a deeper understanding of valuation judgement processes and thus extend the current knowledge base, we advocate more use of qualitative research methods and scholars to adopt an interpretative paradigm when studying judgement behaviour.
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This workshop provides participants with the opportunity to familiarise themselves with the Behavioural Lenses Toolkit. This toolkit supports designers in using theory from the behavioural sciences to inform their work. The workshop consists of an introduction to the toolkit and a couple of hands-on exercises in which we will demonstrate and try out the toolkit in establishing use (r) contexts in behavioural design projects. Furthermore, we will try out a new prototype tool that supports making an evidence-based transition from user insights to behavioural change strategies.
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This overview can be regarded as an atlas or travel guide with which the reader can follow a route along the various professorships. Chapter 2 centres on the professorships that are active in the field of Service Economy. Chapter 3 is dedicated to the professorships that are focussed on the field of Vital Region. Chapter 4 describes the professorships operating in the field of Smart Sustainable Industries. Chapter 5 deals with the professorships that are active in the field of the institution-wide themes of Design Based Education and Design Based Research. Lastly, in Chapter 6 we make an attempt to discover one or more connecting themes or procedures in the approach of the various professorships. This publication is not intended to give a definitive answer to the question as to what exactly NHL Stenden means by the concept of Design Based Research. The aim of this publication is to get an idea of everything that is happening in the NHL Stenden professorships and to pique one’s curiosity to find out more.
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