Author List: Brown, Susan A.; Venkatesh, Viswanath;
MIS Quarterly, 2005, Volume 29, Issue 3, Page 399-426.
Individual adoption of technology has been studied extensively in the workplace. Far less attention has been paid to adoption of technology in the household. In this paper, we performed the first quantitative test of the recently developed model of adoption of technology in households (MATH). Further, we proposed and tested a theoretical extension of MATH by arguing that key demographic characteristics that vary across different life cycle stages would play moderating roles. Survey responses were collected from 746 U.S. households that had not yet adopted a personal computer. The results showed that the integrated model, including MATH constructs and life cycle characteristics, explained 74 percent of the variance in intention to adopt a PC for home use, a significant increase over baseline MATH that explained 50 percent of the variance. Finally, we compared the importance of various factors across household life cycle stages and gained a more refined understanding of the moderating role of household life cycle stage.
Keywords: Adoption; household; personal computers; technology adoption
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#90 0.242 development life cycle prototyping new stages routines stage design experiences traditional time sdlc suggested strategies rapid effort integrated needs techniques
#108 0.173 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#140 0.129 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#49 0.124 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting set compatibility time initial current
#83 0.101 personal computers use lead order using users pcs innovativeness understanding professional help forces gained usage increase trends parallel introduced expressed
#218 0.073 role roles gender differences women significant play age men plays sample differ played vary understand critical greater implications relatively offered
#219 0.052 response responses different survey questions results research activities respond benefits certain leads two-stage interactions study address respondents question directly categories
#107 0.050 app brand mobile apps paid utility facebook use consumption users brands effects activities categories patterns controls extension store positive factor