Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems

Chi-Yo Huang, Ming-Jenn Wu, Yu Wei Liu, Gwo Hshiung Tzeng

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

3 Citations (Scopus)

Abstract

Smartphones have emerged as one of the most important consumer-electronic products during the past years. Therefore, researches on factors influencing consumers' behavior and thus, repurchase intention toward smartphones become the most critical issue for smartphone marketers. The smartphone operation system (OS) is one of the major factors influencing consumers' purchase decisions toward purchasing smartphones. However, the analysis and predictions of consumer behaviors toward the smartphone OSs are not easy due to due to the fast emerging technology and highly competitive market situation. To resolve this problem, this research aims to propose a novel multiple criteria decision making (MCDM) based approach for discovering the factors influencing the technology acceptances of the smartphone OSs based on industry experts' opinions. The opinions of mass users will also be summarized by using the Structural Equation Modeling (SEM) based Technology Acceptance Model (TAM) for comparisons. Differences of the analytic results being derived by the two analytic frameworks will be compared. Both the analytic framework and results can serve as the basis for future smartphone marketers' uses for strategy definitions.

Original languageEnglish
Title of host publicationAdvanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings
Pages731-741
Number of pages11
DOIs
Publication statusPublished - 2012 Aug 1
Event25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012 - Dalian, China
Duration: 2012 Jun 92012 Jun 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7345 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012
CountryChina
CityDalian
Period12/6/912/6/12

Fingerprint

Structural Equation Modeling
Smartphones
Modeling Method
Technology Acceptance
Consumer Behaviour
Multiple Criteria Decision Making
Expert Opinion
Purchasing
Consumer behavior
Resolve
Electronics
Industry
Prediction
Consumer electronics
Framework
Decision making
Model

Keywords

  • Decision Making Trial and Evaluation Laboratory (DEMATEL)
  • Lead User Theory
  • Structural Equation Modeling (SEM)
  • Technology Acceptance Model (TAM)

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Huang, C-Y., Wu, M-J., Liu, Y. W., & Tzeng, G. H. (2012). Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems. In Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings (pp. 731-741). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7345 LNAI). https://doi.org/10.1007/978-3-642-31087-4_74

Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems. / Huang, Chi-Yo; Wu, Ming-Jenn; Liu, Yu Wei; Tzeng, Gwo Hshiung.

Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. 2012. p. 731-741 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7345 LNAI).

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

Huang, C-Y, Wu, M-J, Liu, YW & Tzeng, GH 2012, Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems. in Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7345 LNAI, pp. 731-741, 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, 12/6/9. https://doi.org/10.1007/978-3-642-31087-4_74
Huang C-Y, Wu M-J, Liu YW, Tzeng GH. Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems. In Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. 2012. p. 731-741. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-31087-4_74
Huang, Chi-Yo ; Wu, Ming-Jenn ; Liu, Yu Wei ; Tzeng, Gwo Hshiung. / Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems. Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. 2012. pp. 731-741 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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