The Impact Rules of Recommendation Sources for Adoption Intention of Micro-blog Based on DRSA with Flow Network Graph

Yang Chieh Chin, Chiao Chen Chang, Chiun Sin Lin, Gwo Hshiung Tzeng

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A micro-blog is a social media tool that allows users to write short text messages for public and private networks. This research focuses specifically on the micro-blog on Facebook. The main purposes of this study are to explore and compare what recommendation sources influence the intention to use micro-blogs and to combine the personal characteristics/attributes of gender, daily internet hour usage and past use experience to infer the usage of micro-blogs decision rules using a dominance-based rough-set approach (DRSA) with flow network graph. Data for this study were collected from 382 users and potential users. The analysis is grounded in the taxonomy of induction-related activities using a DRSA with flow network graph to infer the usage of micro-blogs decision rules. Finally, the study of the nature of micro-blog reflects essential practical and academic value in real world.

Original languageEnglish
Title of host publicationRough Sets and Intelligent Systems - Professor Zdzisaw Pawlak in Memoriam
Subtitle of host publicationVolume 2
Pages223-239
Number of pages17
DOIs
Publication statusPublished - Oct 18 2013
Externally publishedYes

Publication series

NameIntelligent Systems Reference Library
Volume43
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

Keywords

  • adoption intention
  • dominance-based rough set approach (DRSA)
  • Facebook
  • flow network graph
  • Micro-blog
  • recommendation source

ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems and Management
  • Library and Information Sciences

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    Chin, Y. C., Chang, C. C., Lin, C. S., & Tzeng, G. H. (2013). The Impact Rules of Recommendation Sources for Adoption Intention of Micro-blog Based on DRSA with Flow Network Graph. In Rough Sets and Intelligent Systems - Professor Zdzisaw Pawlak in Memoriam: Volume 2 (pp. 223-239). (Intelligent Systems Reference Library; Vol. 43). https://doi.org/10.1007/978-3-642-30341-8_12