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3Underutilised charging stations can be a bottleneck in the swift transition to electric mobility. This study is the first to research cooperative behaviour at public charging stations as a way to address improved usage of public charging stations. It does so by viewing public charging stations as a common-pool resource and explains cooperative behaviour from an evolutionary perspective. Current behaviour is analysed using a survey (313 useful responses) and an analysis of large dataset (2.1 million charging sessions) on the use of public charging infrastructure in Amsterdam, The Netherlands. In such a way it identifies the potential, drivers and possible obstacles that electric vehicle drivers experience when cooperating with other drivers to optimally make use of existing infrastructure. Results show that the intention to show direct reciprocal charging behaviour is high among the respondents, although this could be limited if the battery did not reach full or sufficient state-of-charge at the moment of the request. Intention to show direct reciprocal behaviour is mediated by kin and network effects.
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The present study aims to contribute to the body of knowledge on HRD in small businesses by providing a detailed investigation of the role that owner-managers play in enabling social learning and performance in small firms. The investigation focusses particularly on the specific relationships of the social-interdependence orientation and social competence of owner-managers with their social learning behaviour, as well as with the performance of their smallbusinesses within the pig-production sector in the Republic of Korea. A survey was conducted amongst nearly 200 Korean ownermanagers of pig farms. The results indicate that social interdependence orientations and social competencies have a significant relationship with social learning behaviour. Self-promotion and a cooperative orientation are especially important, with selfpromotion taking precedence for social learning behaviour of a more ‘internal’ nature, and a cooperative attitude being more important social learning behaviour of a more ‘external’ nature. Social competence and social interdependence did not have a significant relationship with performance, but social learning behaviour did. The results further highlight the importance of individual social characteristics to social learning behaviour occurring outside highly structured educational settings, in addition to demonstrating that the competence and attitudes required are determined by the type of interaction partner.
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In the current study differences between primary school teachers classified as high-performing in their implementation of cooperative learning (CL) in their classrooms and teachers who were less successful in implementing cooperative learning were investigated. The levels of implementation of cooperative learning differed significantly between teachers, especially in teaching students the needed cooperative behaviours. Based on semi-structured interviews, it was found that low-performing CL teachers struggle more with student behaviour during cooperative learning, while high-performing CL teachers feel more able to regulate student behaviour. We concluded that teachers who differed in their teacher performance of implementation of cooperative learning also differed in their attitudes and beliefs about this approach. An integrated model on professional development and teacher change is proposed to interpret the results of differences between teachers. This model shows that positive attitudes and beliefs before implementation, but also experiencing positive student outcomes (incl. positive student behaviour) during implementation are important factors in making cooperative learning successful in practice. We suggest that teachers should be prevented from entering a negative spiral in which they experience student behaviour during cooperative learning only as difficult and, therefore, do not succeed in improving students’ cognitive and behavioural outcomes.
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The goal of this paper is to present the emergence of a new cooperative model for sustainable regional development through social enterprise, rooted in a historical context of societal change in the Netherlands. Our case study is the Gebiedscoöperatie Westerkwartier (GCW), a large-scale area and integrated cooperative with more than 600 organizational and institutional members within the scope of the Dutch northern rural region Westerkwartier. The paper focuses on the mechanisms by which the cooperative facilitates new connections between actors in the quadruple helix of government, entrepreneurs, education and civil society, with the goal of generating both economic and social returns. Based on empirical evidence, possibilities are explored for new business models that combine economic thinking with innovative ways of utilising regional qualities for shared, value-driven governance and enterprise.
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(‘Co’-)Designing for healthy behaviour greatly benefits from integrating insights about individual behaviour and systemic influences. This study reports our experiences in using insights about individual and systemic determinants of behaviour to inform a large co-design project. To do so, we used two design tools that encourage focusing on individual determinants (Behavioural Lenses Approach) and social / systemic aspects of behaviour (Socionas). We performed a qualitative analysis to identify 1) when and how the team applied the design tools, and 2) how the tools supported or obstructed the design process. The results show that both tools had their distinctive uses during the process. Both tools improved the co-design process by deepening the conversations and underpinnings of the prototypes. Using the Behavioural Lenses under the guidance of a behavioural expert proved most beneficial. Furthermore, the Socionas showed the most potential when interacting with stakeholders, i.c. parents and PPTs.
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Hospital staff frequently has to cope with complex information, unpredictable circumstances, and prompt decision making. In such an environment, even the “Gods in white” are susceptible to fatigue and error. Noncompliance with hand hygiene guidelines in hospitals is one of these errors and enhances the risk that microorganisms are transmitted between staff and patients. Previous approaches to enhance this compliance aimed at raising awareness on hand hygiene, such as performance feedback or strategic sink placement, and have only appeared to be partially or temporarily successful. Research on human cooperative behaviour has demonstrated that subtle cues of being observed, such as an image of eyes, could enhance compliance with instructions (Bateson et al, 2006). It has been suggested that these cues might activate motivation to follow a local cooperative norm (Ernest-Jones et al, 2010). However, the underlying psychological mechanisms of possible implicit norm activation remain questionable, and it is unclear whether eye-cues could improve hand disinfection behaviour. We conducted two experiments to investigate this
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Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for a given coordination graph is therefore a central subroutine in cooperative multi-agent reinforcement learning (MARL). Much research in MARL focuses on how to gradually update the parameters of the coordination graph, whilst leaving the solving of the coordination graph up to a known typically exact and generic subroutine. However, exact methods { e.g., Variable Elimination { do not scale well, and generic methods do not exploit the MARL setting of gradually updating a coordination graph and recomputing the joint action to select. In this paper, we examine what happens if we use a heuristic method, i.e., local search, to select joint actions in MARL, and whether we can use outcome of this local search from a previous time-step to speed up and improve local search. We show empirically that by using local search, we can scale up to many agents and complex coordination graphs, and that by reusing joint actions from the previous time-step to initialise local search, we can both improve the quality of the joint actions found and the speed with which these joint actions are found.
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Industrial Symbiosis Networks (ISNs) consist of firms that exchange residual materials and energy locally, in order to gain economic, environmental and/or social advantages. In practice, ISNs regularly fail when partners leave and the recovery of residual streams ends. Regarding the current societal need for a shift towards sustainability, it is undesirable that ISNs should fail. Failures of ISNs may be caused by actor behaviour that leads to unanticipated economic losses. In this paper, we explore the effect of these behaviours on ISN robustness by using an agent-based model (ABM). The constructed model is based on insights from both literature and participatory modelling in three real-world cases. It simulates the implementation of synergies for local waste exchange and compost production. The Theory of Planned Behaviour (TPB) was used to model agent behaviour in time-dependent bilateral negotiations and synergy evaluation processes. We explored model behaviour with and without TPB logic across a range of possible TPB input variables. The simulation results show how the modelled planned behaviour affects the cash flow outcomes of the social agents and the robustness of the network. The study contributes to the theoretical development of industrial symbiosis research by providing a quantitative model of all ISN implementation stages, in which various behavioural patterns of entrepreneurs are included. It also contributes to practice by offering insights on how network dynamics and robustness outcomes are not only related to context and ISN design, but also to actor behaviour.
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Now that collaborative robots are becoming more widespread in industry, the question arises how we can make them better co-workers and team members. Team members cooperate and collaborate to attain common goals. Consequently they provide and receive information, often non-linguistic, necessary to accomplish the work at hand and coordinate their activities. The cooperative behaviour needed to function as a team also entails that team members have to develop a certain level of trust towards each other. In this paper we argue that for cobots to become trusted, successful co-workers in an industrial setting we need to develop design principles for cobot behaviour to provide legible, that is understandable, information and to generate trust. Furthermore, we are of the opinion that modelling such non-verbal cobot behaviour after animal co-workers may provide useful opportunities, even though additional communication may be needed for optimal collaboration. Marijke Bergman, Elsbeth de Joode, +1 author Janienke Sturm Published in CHIRA 2019 Computer Science
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Objective. To study the prevalence, nature and determinants of aggression among inpatients with acquired brain injury. Background. Patients with acquired brain injury often have difficulty in controlling their aggressive impulses. Design. A prospective observational study design. Methods. By means of the Staff Observation Aggression Scale-Revised, the prevalence, nature and severity of aggressive behaviour of inpatients with acquired brain injury was assessed on a neuropsychiatric treatment ward with 45 beds. Additional data on patient-related variables were gathered from the patients’ files. Results. In total, 388 aggressive incidents were recorded over 17 weeks. Of a total of 57 patients included, 24 (42%) patients had engaged in aggressive behaviour on one or more occasions. A relatively small proportion of patients (n = 8; 14%) was found to be responsible for the majority of incidents (n = 332; 86%). The vast majority of aggression incidents (n = 270; 70%) were directly preceded by interactions between patients and nursing staff. In line with this, most incidents occurred at times of high contact intensity. Aggressive behaviour was associated with male gender, length of stay at the ward, legal status and hypoxia as the cause of brain injury. Conclusion. Aggression was found to be highly prevalent among inpatients with acquired brain injury. The results suggest that for the prevention of aggression on the ward, it may be highly effective to develop individually tailored interventions for the subgroup with serious aggression problems. Relevance to clinical practice. Insight into the frequency, nature and determinants of aggressive behaviour in inpatients with acquired brain injury provides nurses with tools for the prevention and treatment of aggressive behaviour.
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