INFLUENTIAL FACTORS OF RECOMMENDATION BEHAVIOUR IN SOCIAL NETWORK SITES - AN EMPIRICAL ANALYSIS

This paper analyzes influential factors of recommendation behaviour in social network sites (SNSs). Extant research on both SNSs and electronic word of mouth (eWOM) has given insufficient attention to SNSs as a potential eWOM channel. Considering the specificities of SNSs, this paper distinguishes implicit and explicit recommendation behaviour. Drawing upon research on eWOM, SNSs, and knowledge exchange, influential factors of implicit and explicit recommendation behaviour are identified. A theoretical model explaining why SNS users (do not) engage in implicit and explicit recommendation behaviour is developed. Structural equation modeling (SEM) is used for hypothesis testing. Data was collected via an online survey from 832 SNS users. The empirical results show a positive impact of reciprocity on both implicit and explicit recommendation behaviour, a negative impact of fear of producing spam on implicit recommendation behaviour, and a positive impact of both implicit recommendation behaviour and the perceived value of the recommended product on explicit recommendation behaviour

Do End Users Accept End User Development?

Do end-users accept end-user development by using enterprise mashups? Using the technology acceptance model, this research investigates the acceptance of the FAST platform, which enables endusers to build their own application by simply drag and drop graphical building blocks onto a canvas. An evaluation workshop of 159 individuals in various countries and locations found strong support of the idea. It was revealed that perceived usefulness strongly affected the attitude towards using enterprise mashups for end-user development. In turn, perceived ease of use did not. With respect to the developed mashup platform it was found that the available content within a mashup platform is the main influencing factor on the acceptance of end-user development by using mashups

Deliverable D8.2 First market analysis

This deliverable provides an overview of a first market analysis of the IPTV market. It points out possible customers, competitors and the differences between LinkedTV and their competitive firms

Deliverable D8.2 First market analysis

This deliverable provides an overview of a first market analysis of the IPTV market. It points out possible customers, competitors and the differences between LinkedTV and their competitive firms