TY - GEN
T1 - Using the DEMATEL based network process and structural equation modeling methods for deriving factors influencing the acceptance of smart phone operation systems
AU - Huang, Chi Yo
AU - Wu, Ming Jenn
AU - Liu, Yu Wei
AU - Tzeng, Gwo Hshiung
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Decision Making Trial and Evaluation Laboratory (DEMATEL)
KW - Lead User Theory
KW - Structural Equation Modeling (SEM)
KW - Technology Acceptance Model (TAM)
UR - http://www.scopus.com/inward/record.url?scp=84864358613&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864358613&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31087-4_74
DO - 10.1007/978-3-642-31087-4_74
M3 - Conference contribution
AN - SCOPUS:84864358613
SN - 9783642310867
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 731
EP - 741
BT - Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings
T2 - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012
Y2 - 9 June 2012 through 12 June 2012
ER -
