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the most appropriate services (eg an interesting exposition in a nearby museum, a concert, a movie, mobile content) in a given context Content providers and advertisers are able to automatically come in contact with valuable prospects The service should optimally utilise context and group functionality There needs to be balance between the commercial exploitation of personal information (user preferences, location, agenda, etc) and the privacy of end-users Earnings Logic The revenue of a successful Internet company like Google is primarily based on contextual advertisements based on search terms given by the end-user or other type of service-speci c content A contextual advertisement revenue model may also be the most appropriate revenue model for a mobile service which offers suggestions on how to spend leisure time, taking into account personal pro les and explicit preferences, availability and other relevant context information of the users.

However, in order to get enough revenue based on advertisements, a service needs a large customer base Of course such advertising will only work if suf cient relevant context and personal information can actually be reliably gathered, interpreted and used against acceptable costs Charging for the advertisements can be implemented in the following way When the service provider shows potential interesting content services to customers via the application, each time the end-user sees and/or selects such a content service the content provider pays a small fee to the service provider Also for each time a content service is being consumed via the leisure recommender service, an additional fee may be paid to the service provider (a sort of commission, such as for amount of tickets sold, amount of digital content sold) Resources The resources component in this business model de nition includes several technological enablers.

studies that were conducted in a lab, except one (Bray, 2004), employed this type of measure (see Table 361) Lab studies, because of the degree of control that this type of a design allows for (eg, holding a group performance task constant across teams), may be a necessary condition for advancement of knowledge in collective efficacy in sport That a study occurs in a lab, however, is not a sufficient condition for inadequately representing the construct of interest Similarly, employing a single item that is more mastery-oriented (eg, one s belief that one s team would play well; Chase et al, 2003) in a field study is also likely to inadequately represent the construct of interest, and we caution against it.

The service provider has to provide an intelligent matching system between the priorities of its customers (eg via preference pro les and usage of context information like location information) and available content services This forms the basis of the value proposition of, for example, a recommender service Therefore, enablers like personalisation technology, context-awareness technology, and, when offering group-based recommendations, group-awareness technologies also play important roles Of course, the content as provided by the content providers can be regarded as important resources Suppliers/actors The advertiser invests directly or indirectly in the service to promote its products and services and provides advertisement content to the service The service provider or content aggregator composes the service for the end-user This party packages content from content providers and advertisers, matches the content to the personal pro le of the user, and delivers it to the user.

The content provider provides content other than advertisements that is included in the service offering The application provider provides the application that the service provider needs in order to offer the service The network provider offers connectivity that enables the service provider to deliver the service to the end-user The context provider provides information about the context of the mobile user to the service provider, such as location information The GIS provider provides geographical services needed to map the location of the user to the advertisement content to the service provider..

Conceptual Analysis Feltz and Chase (1998) recommend an a priori conceptual analysis, with the active input of at least one content expert, to determine the skills needed to perform in the domain of interest These skills should be reflected in both the efficacy measure and the external measure of interest That is, the efficacy measure and the external measure should be reasonably concordant, an issue that is explored in a subsequent section Here, however, the focus is on the construction of indicators of collective efficacy, not relevant external variables As can be seen in Table 361, the occurrence of an a priori conceptual analysis to guide the construction of indicators of collective efficacy has become more frequent across time The most rigorous example of such an analysis is provided by Paskevich et al (1999) These scholars put forth an eight-dimensional factor model that was defined by 56 items.