Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

AbstractMy purpose with this study is to find out if it helps children who have diffuculties with their concentration if they get to practise their motor behaviour knowledge during their day at the school to promote their learning capacity. My purpose is also to find out how schools works with motor behaviour training. To get answers to my questions have I done interviews with four educationalists and I have also used books and internet sites. Motor behaviour is of importance to how children learn things in the school, without a well working motor children gets difficulties to sit still and to concentrate. The children may put their energy at the wrong things in the classroom, when the energy instead should be need to learning things.

The study aims to understand the underlying factor why McDonald's customers return despiteprevious failure customer experiences. Why do customers come back to the company thatcontributes to the former dissatisfaction? McDonald's attempt to maintain unceasingpurposeful emergence fail at the local level, where the customer contact occurs. McDonald'sofferings and customers' bounded rationality results in that customers are satisfied with an"ok" experience, which adds to their low expectations of McDonalds. This makes clear thatMcDonald's does not have to make an effort through constant adaptation at the local level toachieve a "great" level of satisfaction.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Purpose: The purpose of this paper is to create an understanding of how customer engagement, communication / interaction and customer insight are driving forces behind the use of Social CRM from a leadership perspective.Method: The purpose of the study, we believed it was appropriate to use a qualitative approach to conduct the study. The empirical data were collected through semi-structured interviews. The sample consisted of 10 companies located in the Gävle area who are active on social media. The interviews were coded to obtain keywords and patterns. These patterns and keywords are then analyzed to arrive at the study's results.Results and contributions: Our results suggest that all the identified benefits, customer engagement, customer insight and communication are driving forces to make use of social CRM.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.

Real-time systems are required to answer to external stimuli within a specified time-period. For this to be possible, the systems behaviour must be predictable. The use of active databases in real-time systems introduces unpredictability in the system, e.g. due to their use of active rules. The behaviour in active databases is usually specified in ECA-rules.