The impact of recommendation sources on the adoption intention of microblogging based on dominance-based rough set approach

Authors:
Yang-Chieh Chin;Chaio-Chen Chang;Chiun-Sin Lin;Gwo-Hshiung Tzeng
Affiliations:
Department of Management Science, National Chiao Tung University, Hsinchu, Taiwan;Department of International Business, National Dong Hwa University, Hualien, Taiwan;Department of Management Science, National Chiao Tung University, Hsinchu, Taiwan;Department of Business Administration, Kainan University, Taoyuan, Taiwan and Institute of Management of Technology, National Chiao Tung University, Hsinchu, Taiwan
Venue:
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Year:
2010

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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.