A data model for operational and situational information in emergency response: the Dutch case

During emergency response a lot of dynamic information is created and needs to be studied and analysed in the decision-making process. However, this analysis of data is difficult and often not possible. A major reason for this is that a lot of information coming from the field operations is not archived in a structured way. This paper presents a data model for the management of dynamic data, which captures the situational information (incident and its effect) and the operational information (processes activated and people/departments involved). The model is derived from the emergency response procedure and structural organisation in the Netherlands

Data modelling for emergency response

Emergency response is one of the most demanding phases in disaster management. The fire brigade, paramedics, police and municipality are the organisations involved in the first response to the incident. They coordinate their work based on welldefined policies and procedures, but they also need the most complete and up-todate information about the incident, which would allow a reliable decision-making.\ud There is a variety of systems answering the needs of different emergency responders, but they have many drawbacks: the systems are developed for a specific sector; it is difficult to exchange information between systems; the systems offer too much or little information, etc. Several systems have been developed to share information during emergencies but usually they maintain the nformation that is coming from field operations in an unstructured way.\ud This report presents a data model for organisation of dynamic data (operational and situational data) for emergency response. The model is developed within the RGI-239 project ‘Geographical Data Infrastructure for Disaster Management’ (GDI4DM)

Do personality states predict momentary task performance? The moderating role of personality variability

We investigated how state neuroticism and state conscientiousness related to momentary task performance and tested whether these relationships were affected by the extent to which a person varies in his level of state neuroticism/conscientiousness across situations. We hypothesized that state neuroticism relates negatively, while state conscientiousness relates positively to momentary task performance. Moreover, for both personality dimensions, we expected the state personality-momentary task performance relationship to be stronger for employees who behave, feel, and think more consistently across situations. These hypotheses were tested using a 10-day experience sampling study in a large financial institution. Multilevel regression analyses revealed that state neuroticism related negatively and state conscientiousness positively to momentary task performance. Moreover, the relationship between state conscientiousness and momentary task performance was stronger for people lower insituational within-person conscientiousness variability. From a theoretical point of view, our findings suggest that personality states relate to momentary task performance and that this relationship is stronger for people low insituational within-person variability. From a practical point of view, they emphasize the importance of taking into account an employee's state personality levels and the variability herein, in addition to assessing his/her overall trait level of personality

The effect of state core self-evaluations on task performance, organizational citizenship behaviour, and counterproductive work behaviour

Although the personality-performance relationship has been studied extensively, most studies focused on the relationship between between-person differences in the Big Five personality dimensions and between-person differences in job performance. The current paper extends this research in two ways. First, we build on core self-evaluations (CSEs): an alternative, broad personality dimension that has proven to be a good predictor of job performance. Second, we tested concurrent and lagged within-person relationships between CSEs and task performance, organizational citizenship behaviour (OCB), and counterproductive work behaviour (CWB). To this end, we conducted two experience sampling studies; the first one assessing the relationship between state CSEs and levels of momentary task performance and OCB, and a second study in which employees reported on their level of state CSEs and momentary CWB. Results showed that there is substantial within-person variability in CSEs and that these within-person fluctuations relate to within-person variation in task performance, OCB, and CWB towards the organization, and CWB towards the individual. Moreover, CSEs prospectively predicted within-person differences in task performance and CWB towards the organization, whereas the reversed effect did not hold. These findings tentatively suggest that state CSEs predict performance, rather than the other way around

Taking real-life seriously : an approach to decomposing context beyond 'environment' in living labs

The maturity of Living Labs has grown and several researchers have tried to create a uniform definition of what Living Labs are by emphasizing the multi-method and real-life, contextual approach. Although researchers thus recognize the importance of context in Living Labs, they do not provide insights into how context can be taken into account. The real-life context predominantly focuses on the in-situ use of a product during field trials where users are observed in their everyday life. The contribution of this paper will be twofold. By means of a case study we will show how context can be evaluated in the front end of design, so Living Lab researchers are no longer dependent on the readiness level of a product, and we will show how field trials can be evaluated in a more structured way to cover all components of context. By using a framework to evaluate the impact of context on product use, Living Lab researchers can improve the overall effectiveness of data gathering and analysis methods in a Living Lab project

Restorative servicescapes in health care: examining the influence of hotel-like attributes on patient well-being

This study examines how 527 patients across different health states assessed the influence of hotel-like attributes on their well-being. Using theoretical mechanisms of attention restoration underlying restorative servicescapes, we postulated that hotel-like products and services will enhance patients’ perceived well-being, which, in turn, will favorably affect their behavioral intentions. We also tested an alternative model that included additional direct relationships between hotel-like products and services and behavioral intentions, based on the tenets of cue utilization theory. After conducting a series of nested model comparison procedures, we confirmed that the alternative model provided a theoretically and empirically stronger explanation for the dynamics of hotel-like restorative servicescapes. Although the differences between less healthy and more healthy patients were not statistically significant, the less healthy group demonstrated the same pattern of relationships as in the overall model, indicating that such patients may be more likely to derive greater restorative benefits from hotel-like hospital rooms, which may also make them more likely to pay higher out-of-pocket expenses for such rooms. The study furthers the empirical research agenda on evidence-based design (EBD) and the role of hospitality in health care.Accepted manuscrip

Challenges to the Integration of Renewable Resources at High System Penetration

Successfully integrating renewable resources into the electric grid at penetration levels to meet a 33 percent Renewables Portfolio Standard for California presents diverse technical and organizational challenges. This report characterizes these challenges by coordinating problems in time and space, balancing electric power on a range of scales from microseconds to decades and from individual homes to hundreds of miles. Crucial research needs were identified related to grid operation, standards and procedures, system design and analysis, and incentives, and public engagement in each scale of analysis. Performing this coordination on more refined scales of time and space independent of any particular technology, is defined as a “smart grid.” “Smart” coordination of the grid should mitigate technical difficulties associated with intermittent and distributed generation, support grid stability and reliability, and maximize benefits to California ratepayers by using the most economic technologies, design and operating approaches