Author List: Thompson, Ronald L.; Higgins, Christopher A.; Howell, Jane M.;
Journal of Management Information Systems, 1994, Volume 11, Issue 1, Page 167-187.
The influence of prior experience on personal computer utilization was examined through an extension of a conceptual model developed and tested previously. Respondents were classified on the basis of their self-reported skill level and length of time having used personal computers. Three competing ways of modeling the influence of experience were tested: (1) a direct influence, (2) an indirect influence through six distinct attitude and belief components, and (3) a moderating influence on the relations between the attitude/belief components and utilization. The results suggested that experience influenced utilization directly, that indirect influences were present but less pronounced, and that the moderating influence of experience on the relations between five of six antecedent constructs and utilization was generally quite strong. For researchers, the implications are that prior experience with an information technology (IT) is an important factor to include when developing, testing, or applying models of IT adoption and use. For practitioners, the results highlight the importance of emphasizing applicability of the information technology to the current job and professional development early in the adoption process, with more emphasis on future benefits as experience is gained.
Keywords: adoption of new technology; end-usercomputing; personal computer utilization.
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#108 0.190 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#4 0.150 characteristics experience systems study prior effective complexity deal reveals influenced companies type analyze having basis conducted determine complex comparative drive
#173 0.145 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship
#83 0.128 personal computers use lead order using users pcs innovativeness understanding professional help forces gained usage increase trends parallel introduced expressed
#49 0.125 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting set compatibility time initial current
#184 0.085 modeling models model business research paradigm components using representation extension logical set existing way aspects issues current integrated languages traditional