Identifying Factors Influencing Senior Leader Technology Readiness

What influences a person's attitude toward technology varies greatly. Does a person's attitude toward technology changes over time? What factors influence changes in attitude towards technology? This dissertation research provides an understanding of Technology Readiness (TR) over time and the factors influencing resultant conditions. The primary factors explored in this research include group interaction, the role of facilitators and training. This study used the quantitative research paradigm. The principle measure of the effects of the factors was Parasuraman and Colby's Technology Readiness Index (TRI). TR provided a mechanism to evaluate factors influencing Senior Leader Technology Readiness. Technology Readiness is predominantly about an individual’s willingness to adopt or embrace technology. TR is a set of technological beliefs and asserts ones technological competence (Parasuraman, 2000). Understanding individual TR and the propensity for technology adoption is important, particularly in organizations where technology is critical to success. Gartner predicts by 2017, half of employers will require employees to provide their own device for work. (Gartner 2013). Tangentially, mobile initiatives are putting pressure on the work force to use and understand technology. From a practitioner’s standpoint, how do companies know where current employees or future candidates stand regarding their technology competence and importantly the willingness to adopt? Parasuraman and Colby provided empirical evidence, through their quantitative and qualitative research, that individuals possess both positive and negative technology beliefs. This research examines whether cohort-style learning, electronic delivery of information and informal training influences a person's TR. The results of this study indicate two dimensions were consistent across the study and two dimensions (innovativeness and discomfort) varied between the initial and last data collection points. Both of these latter two dimensions displayed statistical significance between the two data collection points. Additionally, two of the dimensions (innovativeness and optimism) predicted an individual’s willingness to use their iPad by providing a statistically significant correlation between these two dimensions and device application downloads. Lastly, the treatment group receiving both treatments accounted for a statistically significant Technology Readiness change

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

An integrative analysis of transactional e -government web usage: The trust -risk model and Technology Acceptance Model perspectives

With the advancement of technology and the expansion of wired or wireless networks utilized in our daily lives, privacy and trustability of transaction media are highly cherished values. Individuals often make choices in which they surrender a certain degree of privacy in exchange for outcomes that are perceived to be worth the risk of information disclosure. This dissertation attempts to expand the utility of the Technology Acceptance Model (TAM), a strongly supported and well-established vehicle in information research, by incorporating an individual’s privacy concerns, perceived risk, and trust factor that were previously regarded as separate research areas from TAM. A new proposed model was tested using data gathered from an internet survey. A total of two thousand e-mail invitations were sent out to anonymous general citizens in the Republic of Korea. 432 responses were analyzable out of 459 total returned responses (a 22.95% return rate). Structural equation modeling (SEM) using Mplus 3.0 was employed to validate measurement and the structural model. The results of SEM indicated both a measurement component and a structural component of the underlying model were plausible. Based on the adequacy of overall model fit, the study was able to further test the proposed hypotheses. The test results reveal that citizens are more willing to involve transactional e-government services when they have greater overall trust belief toward e-government web sites and government itself. Perceived risk also plays an influential role by mediating the personal disposition factor, an individual’s privacy concern, on trust. As one of the first studies to incorporate the trust-perceived risk model and TAM together, the present study contributes to expanding the utilization of e-government services and increasing the possibility of its adoption to the general public