The combined model of influencing on-line consumer behavior

Wen Bao Lin, Ming Kuen Wang, Kevin P. Hwang

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

Combining the views from the Decomposed Theory of Planned Behavior and Technology Acceptance Model, this study proposes an integrated opinion to construct on-line consuming behavior patterns for travel. The nonlinear fuzzy network model were adopted to test and verify the sample data. The method of convenience sampling was employed and the questionnaires were distributed through e-mail sending, or were brought back by selected consumers, or were filled in on-line by access to the designated website. A total of 550 questionnaires were returned, giving a response rate of 35.6%. It concluded from the factor loading that among the three independent variables in this study, product marketing attracts customers most in respect to the "Marketing Mix". The possibility of misunderstanding information is higher in respect to the "Perceived Risk" of information from customers. The close relationship of the family works more effectively for decision making in respect to the "Subjective Norms". The three latent independent variables of "Marketing Mix", "Perceived Risk" and "Subjective Norms" are the three key factors that directly or indirectly influence the "Attitude" and the "Behavioral Intention" in this study.

Original languageEnglish
Pages (from-to)3236-3247
Number of pages12
JournalExpert Systems With Applications
Volume37
Issue number4
DOIs
Publication statusPublished - 2010 Apr 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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