Abstract
With technology advanced and flourishing of wired or wireless networks in our daily life, privacy and trustability of transaction media are highly cherished value. Individuals often make choices in which they surrender a certain degree of privacy in exchange for outcomes that are perceived to be worth of the risk of information disclosure. This research attempts to facilitate understandings of utility of Technology Acceptance Model (TAM) which is a strongly supported and well-established vehicle in information research when it incorporate privacy, risk, and trust factor that are previously regarded as separate research area from TAM. The proposed model was tested using data gathered from 309 respondents from internet survey. Structural equation modeling (SEM) using Mplus was employed to validate measurement and structural model. Based on this outcome, the measurements were redefined as composite scores and subsequent path analysis was conducted to test proposed hypotheses. The findings provide the structural or causal model of proposed model attainable but it requires development of reliable and valid measurement scales.
Recommended Citation
Kim, Jongheon and Hwang, Taewon, "An Integrative Analysis of Transactional E-government Web Usage" (2012). AMCIS 2012 Proceedings. 5.
https://aisel.aisnet.org/amcis2012/proceedings/EGovernment/5
An Integrative Analysis of Transactional E-government Web Usage
With technology advanced and flourishing of wired or wireless networks in our daily life, privacy and trustability of transaction media are highly cherished value. Individuals often make choices in which they surrender a certain degree of privacy in exchange for outcomes that are perceived to be worth of the risk of information disclosure. This research attempts to facilitate understandings of utility of Technology Acceptance Model (TAM) which is a strongly supported and well-established vehicle in information research when it incorporate privacy, risk, and trust factor that are previously regarded as separate research area from TAM. The proposed model was tested using data gathered from 309 respondents from internet survey. Structural equation modeling (SEM) using Mplus was employed to validate measurement and structural model. Based on this outcome, the measurements were redefined as composite scores and subsequent path analysis was conducted to test proposed hypotheses. The findings provide the structural or causal model of proposed model attainable but it requires development of reliable and valid measurement scales.