2018
DOI: 10.5539/ijms.v10n3p73
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Predicting Consumer Behavior: An Extension of Technology Acceptance Model

Abstract: The purpose of this study is to examine the predictive power of the technology acceptance model (TAM) on customer's intention to participate in the social customer relationship management (sCRM) program. Three additional constructs, perceived risk, user satisfaction, and perceived enjoyment were added to the original TAM. The collected data (n=264) were subject to statistical analysis of structural equation modeling, exploratory and confirmatory factor analysis. The study reveals that TAM by itself is not a ro… Show more

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Cited by 17 publications
(14 citation statements)
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“…For more detailed results, each country should be analyzed separately with taking into consideration the above-mentioned factors. For predicting the behavior of smartphones users, TAM, extensions or alternative models are useful (Galib, Hammou, & Steiger, 2018).…”
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confidence: 99%
“…For more detailed results, each country should be analyzed separately with taking into consideration the above-mentioned factors. For predicting the behavior of smartphones users, TAM, extensions or alternative models are useful (Galib, Hammou, & Steiger, 2018).…”
mentioning
confidence: 99%
“…Abdekhoda et al (2016) reported a negative significant impact between competitive pressure and perceive ease of use. Liao et al (2007) and Galib et al (2018); research findings reported an insignificant positive impact between user expectations and perceive ease of use. Kirschner and Karpinski (2010) research findings stated an insignificant positive impact between perceived ease of use and continuous digital disruption.…”
Section: Discussion On Findingsmentioning
confidence: 85%
“…In the context of customer relationship management, Galib, Hammou, and Steiger (2018) utilized an extended version of TAM to predict customers' intention to participate in social customer relationship management programs (sCRM). As predictors, they utilized user satisfaction, perceived enjoyment, customers' perception of risk involved in joining sCRM programs, perceived ease of use, perceived usefulness of sCRM programs, and customers' attitude towards participating in such programs.…”
Section: Technology Acceptance Modelmentioning
confidence: 99%