The RST and Flow Graph Based Prediction Rules Derivations for the Technology Acceptance of Phablets

Chi Yo Huang, Yu Shen Kao, Hsueh Hsin Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Phablets, integrated smart devices combining the functionality and characteristics of both tablet PCs and smartphone, have gradually become possible alternatives for smart phones. Therefore, predicting factors which can influence the acceptance of Phablets have become an indispensable task for designing, manufacturing and marketing of novel mobile devices. However, such predictions are not easy. Meanwhile, very few researches tried to study related issues. Therefore, the authors aim to explore and predict the intentions to use and use behaviors of Phablets. The second generation of the Unified Theory of Acceptance and Use of Technology (UTAUT2) is introduced as a theoretic basis. The Rough Sets Theory (RST) will be employed to generate the associated rules based on users' preference for better predicting users' behavior of Phablets adoptions. The analytic results can serve as a basis for concept developments, marketing strategy definitions, and new product designs of the future Phablets.

Original languageEnglish
Title of host publicationNew Trends on System Sciences and Engineering - Proceedings of ICSSE 2015
EditorsHamido Fujita, Shun-Feng Su
PublisherIOS Press
Pages213-223
Number of pages11
ISBN (Electronic)9781614995210
DOIs
Publication statusPublished - 2015
EventInternational Conference on System Science and Engineering, ICSSE 2015 - Morioka, Japan
Duration: 2015 Jul 62015 Jul 8

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume276
ISSN (Print)0922-6389

Other

OtherInternational Conference on System Science and Engineering, ICSSE 2015
CountryJapan
CityMorioka
Period15/7/615/7/8

Keywords

  • Phablet
  • Rough Sets Theory (RST)
  • UTAUT2
  • Unified Theory of Acceptance and Use of Technology (UTAUT)

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Huang, C. Y., Kao, Y. S., & Lu, H. H. (2015). The RST and Flow Graph Based Prediction Rules Derivations for the Technology Acceptance of Phablets. In H. Fujita, & S-F. Su (Eds.), New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015 (pp. 213-223). (Frontiers in Artificial Intelligence and Applications; Vol. 276). IOS Press. https://doi.org/10.3233/978-1-61499-522-7-213