Predicting use of technologies for communication and consumer needs

Jeffres, Leo W.; Atkin, David

doi:10.1080/08838159609364356

Cited by 113 publications

(61 citation statements)

References 9 publications

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“…Lifestyle compatibility (7,39) and observability (12,17), however, seem to be totally unimportant for later adopters, something that is confi rmed in the equally low score for network externalities (37). It is remarkable that even the later adopters do not think that mobile television is a complex technology ( complexity 8,20,29).…”

Section: Later Adoptersmentioning

confidence: 99%

Adopter segments, adoption determinants and mobile marketing

Marez

Vyncke²,

Berte³

et al. 2007

J Target Meas Anal Mark

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Section: Later Adoptersmentioning

confidence: 99%

Adopter segments, adoption determinants and mobile marketing

Marez

Vyncke²,

Berte³

et al. 2007

J Target Meas Anal Mark

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“…Leung and Wei (1998) obtained similar results in their study of iTV adoption in Hong Kong. Jeffres and Atkin (1996) found that income and education had an inversely weak relation with interest in adopting specific Internet utilities such as sending or receiving messages and ordering goods, even when the Internet was still in the early stages of diffusion. They argued that those applications may be less expensive substitutes for functions performed by traditional media, and that communication needs were more explanatory than social categories.…”

Section: Demographicsmentioning

confidence: 99%

Internet Adoption in Macao:

Cheong

2006

Journal of Computer-Mediated Communication

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Based on the data from a telephone survey of 868 Macao residents conducted in Macao with 330 Internet users and 538 non-users, this paper examines the characteristics of the users and non-users in terms of their demographics, assessments on media credibility, family functioning, media use, and perceived values of the Internet. Drawing from the literature of diffusion, expectancy-value and media substitution theories, it investigates the relations between Internet use and its potential predictors. The results confirmed the conclusions of previous adoption studies that Internet users were more likely to be male, younger, better educated and with higher monthly household income than non-users. The study also found that demographic variables such as education, sex and income, as well as doing exercise were the significant predictors of Internet use. However, no traditional mass media use variables and perceived values of the Internet were found to be significant predictors.

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“…26 Traditional assumptions about 'earlier adopters' being typically male, younger, more highly educated, having a higher income and a larger family size, owning relatively more ICTs and using these at a higher frequency [27][28][29][30] etc are no longer typical or consistent in the ITC environment. [31][32][33][34] Segment profiles based on demographics, media usage and media ownership -traditionally assumed to be applicable to several products and product categories -are not that reliable anymore.…”

Section: Introductionmentioning

confidence: 99%