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BCT clearly suggests research in which belief is pitted against group membership characteristics such as race or ethnicity Rokeach et al (1960), for example, had samples of White university students from northern and southern parts of the United States rate their desires to be friends with members of pairs of stimulus persons whose races and beliefs, both race-relevant and -irrelevant, were speci ed For example, Type R pairs varied in race but kept belief constant (eg, a White person who believes in God vs a Black person who believes in God) Type B pairs kept race constant but varied belief (a Black person who believes in God vs a Black person who is an atheist) Type RB pairs varied both race and belief simultaneously Differences in friendliness ratings for members of a stimulus person pair were taken as re ecting discrimination.

A critical comparison suggested by BCT involved a choice between an in-group member with dissimilar beliefs versus an out-group member with beliefs similar to one s own For this pair comparison, individuals preference typically goes to the latter, consistent with BCT Likewise, Rokeach and Mezei (1966) showed that belief similarity excels race in predicting preferences for work partners among employment applicants following actual interpersonal interaction and discussion between Black and White participants with similar and dissimilar beliefs on an issue BCT remains as relevant a theory of prejudice in the twenty- rst century as it was in the latter half of the twentieth century, largely due to the research over the past several decades of Insko and his colleagues (eg.

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, Cox, Smith, & Insko, 1996; Insko, Nacoste, & Moe, 1983) as well as recent contributions by Biernat and her colleagues (Biernat, Vescio, & Theno, 1996; Biernat, Vescio, Theno, & Crandall, 1996) For example, Insko et al (1983) reviewed the literature and compared the strong version of BCT (when social pressure is absent, only belief determines racial-ethnic discrimination) to a weak version (when social pressure is absent, belief is.

TABLE 20.6 Multinomial Logistic Regression Results for the Prediction of Intense Male Violence, Common Couple Violence, and Nonviolence Intense Male Violence vs. Nonviolence 3.723*** .010 1.104*** .058*** .940*** .274 .053 .064* .063 .007 .070*** .476*** .159* .012 .105 527.999*** 28 Common Couple Violence vs. Nonviolence 2.444*** .004 .885** .027*** .661*** .097 .248*** .008 .003 .003 .086*** .377*** .036 .176** .078 Intense Male Violence vs. Common Couple Violence 1.278*** .006 .218 .031** .279 .176 .301*** .057 .066 .009 .017 .099 .195* .164 .027

advertising If part of the service is sponsored by advertising, the service can be offered to the user cheaper and thus it is easier to achieve larger user groups Resources There has to be enough interesting content for each targeted segment to be able to make a sustainable business There have to be appropriate end-user devices and access to a (mobile) network, as well as the availability of a proper payment system Technology enablers offering added value in the mobile setting are personalisation and context awareness There has to be a good balance between commercial exploitation of personal pro les and the privacy of end-users in order to avoid privacy and trust risks.

Suppliers/actors Traditionally the service provider has quite often been the mobile operator, but separate service providers could also become more common; or, for example, the content provider could also take the role of a service provider in this business model The content provider has a central role because the actual content is what the end-users are paying for Thus the power and importance of content providers in the value net are set to grow The payment system provider has an important role since the customer pays to use the service The payment solution has to be easy and convenient to use for all players in the value net, otherwise it might be an obstacle to service use There also has to be a fair division of revenues between different actors in the value net.

Content services do not currently use context information, but it might create added value to the service promise; for example, a user gets tourist information about places she is passing The context provider role could be taken by the operator Personalisation is especially important in mobile services, where displays are small and navigation dif cult The personalisation provider offers a service that makes it possible to use the end-user s interest pro le The application provider supplies the application that the service provider needs in order to offer the service The mobile device manufacturer provides terminals for using the service (directly to the customer, as in Figure 96, or through another route) The network provider offers connectivity that enables the service provider to deliver services In all mobile services the mobile network is essential, or the services cannot be used.