Using Rogers’ diffusion of innovation model, this study examined the relationships between lifestyles and the adoption of six new technologies in Taiwan. Three of the six technologies—notebooks, netbooks, and tablet PCs—are information technologies, while the remaining three technologies—Wii, Kinect, and digital videos (DVs)—are entertainment technologies. A telephone survey was adopted to obtain a representative sample, which obtained 1157 valid calls with a response rate of 53.1%. Two conclusions are drawn from the data analysis. First, lifestyles did play a significant role in predicting the adoption of the six technologies. Second, this study found that demographics and mass media use were more predictive of the adoption of information technologies than that of the adoption of entertainment technologies.
AtkinDJ (1995) Audio information services and the electronic media environment. Information Society11: 75–83.
2.
AtkinDJNeuendorfKJeffresLW. (2003) Predictors of audience interest in adopting digital television. Journal of Media Economics16(3): 159–173.
3.
BabbieRE (2010) The Practice of Social Research. Belmont, CA: Wadsworth Publishing Company.
4.
BeckerBWConnorPE (1981) Personal values of the heavy user of mass media. Journal of Advertising Research21(5): 37–43.
5.
ChanJLeungL (2005) Lifestyles, reliance on traditional news media and online news adoption. New Media & Society7(3): 57–382.
6.
Chan-OlmstedSMChangBH (2006) Audience knowledge, perceptions and factors affecting the adoption intent of terrestrial digital television. New Media & Society11(3): 417–432.
7.
ChyuHJ (2000) Quantitative Research and Statistical Analysis in Social and Behavioral Sciences. Taipei, Taiwan, ROC: Wu Nan Publishers.
8.
DimmickJChenYLiZ (2004) Competition between the Internet and traditional news media: the gratification-opportunities niche dimension. Journal of Media Economics17(1): 19–33.
9.
DonohewLPalmgreenPRayburnJD (1987) Social and psychological origins of media use: a lifestyle analysis. Journal of Broadcasting & Electronic Media31(3): 255–278.
10.
DupagneMDriscollPD (2010) Comparison between early high-definition television owners and non-owners. Journal of Media Economics23(4): 216–230.
11.
EastmanST (1979) Uses of television viewing and consumer life styles: a multivariate analysis. Journal of Broadcasting23(4): 491–500.
12.
Executive Yuan of Taiwan (2011) Monthly report from the Department of Household Registration, M.O.I. of Taiwan. Available at: http://www.ris.gov.tw/zh_TW/346
GaritaonandiaCGarmendiaM (2009) E-commerce use among digital TV subscribers: audiovisual abundance and virtual purchase: predictors of e-commerce use among digital television subscribers in Spain. New Media & Society11(3): 417–432.
JiangQLeungL (2012) Lifestyles, gratifications sought, and narrative appeal: American and Korean TV drama viewing among Internet users in urban China. International Communication Gazette74(2): 159–180.
17.
KangMH (2002) Digital cable: exploring factors associated with early adoption. Journal of Media Economics15(3): 193–207.
18.
LaRoseRAtkinDJ (1988) Satisfaction, demographic, and media environment predictors of cable subscription. Journal of Broadcasting & Electronic Media32(4): 403–413.
19.
LekakosG (2009) It’s personal: extracting lifestyle indicators in digital television advertising. Journal of Advertising Research49(4): 404–418.
20.
LeungL (1998) Lifestyles and the use of new media technology in urban China. Telecommunications Policy22(9): 781–790.
21.
LeungLWeiR (1998) Factors influencing the adoption of interactive TV in Hong Kong: implications for advertising. Asian Journal of Communication8(2): 124–147.
22.
LiSS (2004a) Exploring the factors that influence the adoption of interactive cable television services in Taiwan. Journal of Broadcasting & Electronic Media48(3): 466–483.
23.
LiSS (2004b) New types of non-store shopping and their adopters: examining the factors that influence the intentions to adopt Internet shopping and cable television shopping in Taiwan. New Media & Society6(2): 19–39.
24.
LiSS (2013) Lifestyle orientations and the adoption of Internet-related technologies in Taiwan. Telecommunications Policy37(8): 639–650.
25.
LinCA (1998) Exploring personal computer adoption dynamics. Journal of Broadcasting & Electronic Media42(1): 95–112.
26.
LinCA (2001) Audience attributes, media supplementation, and likely online service adoption. Mass Communication and Society4(1): 19–38.
27.
LinCA (2004) Webcasting adoption: technology fluidity, user innovativeness, and media substitution. Journal of Broadcasting & Electronic Media48(3): 446–465.
28.
LinCA (2006) Predicting satellite radio adoption via listening motives, activity, and format preference. Journal of Broadcasting & Electronic Media50(1): 140–159.
29.
Lorenzo-DusN (2006) Buying and selling: mediating persuasion in British property shows. Media Culture & Society28(5): 740–761.
30.
MazzoniCCastaldiLAddeoF (2007) Consumer behavior in the Italian mobile telecommunication market. Telecommunications Policy31: 632–647.
RogersEM (2003) Diffusion of Innovations. 6th ed.New York: Free Press.
33.
SchwartzSH (1992) Universals in the content and structure of values: theoretical advances and empirical tests in 20 countries. In: ZannaM (ed.) Advances in Experimental Social Psychology. Orlando, FL: Academic Press, pp. 1–65.
WeiR (2001) From luxury to utility: a longitudinal analysis of cell phone laggards. Journalism & Mass Communication Quarterly78(4): 702–719.
36.
WeiR (2006) Wi-Fi powered WLAN: when built, who will use it? Exploring predictors of wireless Internet adoption in the workplace. Journal of Computer-Mediated Communication12(1): 155–175.
37.
WimmerRDDominickJR (2010) Mass Media Research: An Introduction. 9th ed.Belmont, CA: Wadsworth Publishing Company.
38.
ZhuJHHeZ (2002) Perceived characteristics, perceived needs, and perceived popularity adoption and use of the Internet in China. Communication Research29(4): 466–495.
