Oliver Oechslein

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News consumption has been evolving from offline newspapers to online news. However, while offline newspapers sales are decreasing, online news business models have never been entrenched. Meanwhile, the new technology of social recommender systems enable automated news aggregation. Personalized news aggregators (PNAs) rely on this technology, and provide(More)
In the past, the selection of content has been done manually. Nowadays, owing to the new generation of social recommender systems, the automated aggregation of content, based on social information from social networks, might become possible. Social ties provide information about the underlying structure of social networks. This information, integrated into(More)
The recently proposed extended Unified Theory of Acceptance and Use of Technology (UTAUT2) offers new opportunities for exploring the acceptance of consumer technologies. This study utilizes UTAUT2 to explore the user acceptance of social recommender systems that have become more attractive owing to improved content personalization and adaptation to user(More)
The Internet provides large varieties of content, which renders consumption difficult for users. However, recommender systems filter and personalize content according to individual preferences and deliver solutions that take the problem of information overload into account. Previous studies show different approaches to classify existing recommender(More)
The People’s Republic of China has shown strong economic growth rates within the last years, which can in part be attributed to the increasing foundation of startup companies, especially in the IT sector. Due to a lack of familiarity with novel situations, it is difficult for entrepreneurial teams to operate successfully during the first years after(More)
News consumption is evolving from offline newspapers to online news. Nevertheless, no profitable business model exists for online news, and publishers are still reporting drops in revenue. Personalized news aggregators (PNAs), which rely on new information and communication technologies, provide a new way to aggregate content that might provide the basis(More)
Historically, journalists have manually selected news. This process has been changing dramatically with the development of personalized news aggregators (PNAs), which rely on social recommender systems (SRSs) technology. PNAs provide content geared to the personal preferences of news consumers, and thus offer new business opportunities for news providers.(More)
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