Abstract
Microblogging is a social media tool that allows users to write short text messages to public and private networks. This research focuses specifically on the microblogging on Facebook. The main purposes of this study are to investigate and compare what recommendation sources influence the intention to use microbloggings and to combine gender, daily internet hour usage and past use experience to infer the usage of microbloggings decision rules using a dominance-based rough-set approach (DRSA). Data for this study were collected from 382 users and potential users. The analysis is grounded in the taxonomy of induction-related activities using DRSA to infer the usage of microbloggings decision rules. Finally, the study of the nature of microblogging reflects essential practical and academic value.
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Chin, YC., Chang, CC., Lin, CS., Tzeng, GH. (2010). The Impact of Recommendation Sources on the Adoption Intention of Microblogging Based on Dominance-based Rough Set Approach. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_55
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DOI: https://doi.org/10.1007/978-3-642-13529-3_55
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