An integrated model of technology acceptance for mobile computing
Technology acceptance models have been an important area of research in the Information Systems arena especially in the last 20 years. Most technology acceptance studies use factors from Davis's Technology Acceptance Model (TAM), Davis and Venkatesh's Extended Technology Acceptance Model (TAM2), Ajzen's Theory of Planned Behavior (TPB), and/or Goodhue's Task-Technology Fit (TTF) model. This study integrates factors from these four models and focuses on the acceptance of mobile computing. The purpose of this research is fourfold. First, the research improves the understanding of technology acceptance for mobile computing devices. It does this by examining the components of four known technology acceptance models (TAM, TAM2, TPB, TTF). Using the definition of each component the research assesses which factors should be extracted into an integrated technology acceptance model for mobile computing devices. Subsequent interviews of PDA users resulted in the identification of three additional factors for the integrated model. The factors are adaptability, mobility, and security. Second, this derived model is useful for technology acceptance not only for mobile computing but also for location dependent domains, since the factors are derived from general purpose technology acceptance models. Third, the research assesses this integrated model. For this research the PDA is selected as an example of a mobile computing device. A questionnaire exploring the relevance of factors in the integrated model was constructed from those items used in previous models. These questions were included in a survey and augmented by questions from literature. The questionnaire was developed and administered to 134 PDA users from 5 different groups. The answers to the questionnaire have confirmed the importance of the additional factors in that the results of the questionnaire analysis points to the conclusion that respondents find adaptability, mobility and to a lesser extent security are important to them. The research uses a set of new analysis techniques, namely data mining, which shows the integrated model is the one of the best predictors of the measurement of usage behavior. In some cases the prediction is several percentage points higher for each of the four contributing models. Furthermore the data mining information gain analysis find mobility to be the second largest predictor variable for intention to use indicating that in the minds of these users mobility is significantly important in accepting the technology. Fourth, the research explains the relationships between the factors. Using regression analysis and correlation coefficients the research shows that mobility is the strongest of the three new factors because it is related to 13 of the other 14 factors. The other two new factors show significant correlation with one another.
Lapczynski, Patricia H, "An integrated model of technology acceptance for mobile computing" (2004). ETD Collection for Pace University. AAI3159089.
Remote User: Click Here to Login (must have Pace University remote login ID and password. Once logged in, click on the View More link above)