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Titlebook: HCI in Business; Second International Fiona Fui-Hoon Nah,Chuan-Hoo Tan Conference proceedings 2015 Springer International Publishing Switze

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D. Yves von Cramon,Hans J. Markowitschnd – that different sectors had different challenges, that saying sorry wasn’t necessarily enough to satisfy customers and that social dancing often requires brands to do a coordinated conga through multiple channels and complex internal processes.
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Topic-Based Stance Mining for Social Media Textsutperforms the other machine learning methods. The best precision scores of predicting three stance categories (i.e., ., . and .) are 94.62 %, 88.86 % and 10.47 %, respectively, which concludes that the proposed approach can capture the sentiment of documents from lack-of-label, skewed data.
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Contribute Knowledge Continuously or Occasionally?ss scores given to other members, the ratio of the number of negative reviews to the total number of reviews, and the number of trustors. We collect data from . and find that these five factors have significant impacts on continued knowledge contribution. These findings have significant theoretical and practical implications for knowledge sharing.
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The Beecham Manual for Family Practicere control and examine the effects on user evaluation of social applications. Furthermore, we investigate the impact of this evaluation on usage intention. In doing so, we provide new insight into embedding privacy in technology development.
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Allan Rosenfield,Hillary Kunins well as medical litigation & compliance risk and health education & information sharing. From this review, we have also proposed future research topics and questions to further cultivate this salubrious research domain.
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