Ron Thompson

TL;DR: This research highlights the importance of the fit between technologies and users' tasks in achieving individual performance impacts from information technology and suggests that task-technology fit when decomposed into its more detailed components, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.

TL;DR: The results show that social norms and three components of expected consequences have a strong influence on utilization, confirming the importance of the expected consequences of using PC technology and suggesting that training programs and organizational policies could be instituted to enhance or modify these expectations.

TL;DR: The influence of prior experience on personal computer utilization was examined through an extension of a conceptual model developed and tested previously, suggesting that experience influenced utilization directly and that the moderating influence of experience on the relations between five of six antecedent constructs and utilization was generally quite strong.

TL;DR: Monte Carlo simulation was used more extensively than previous research to evaluate PLS, multiple regression, and LISREL in terms of accuracy and statistical power under varying conditions of sample size, normality of the data, number of indicators per construct, reliability of the indicators, and complexity of the research model.

TL;DR: It is suggested that PLS with bootstrapping does not have special abilities with respect to statistical power at small sample sizes, and for simple models with normally distributed data and relatively reliable measures, none of the three techniques have adequate power to detect small or medium effects atSmall sample sizes.