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NHH Brage
Master thesis . 2017
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User adoption of mobile applications : extension of UTAUT2 model

Authors: Vinnik, Viktoriia;

User adoption of mobile applications : extension of UTAUT2 model

Abstract

The purpose of the following research is to build the holistic model that predicts the consumer adoption mechanism for the third-party mobile applications. The research model for this study is based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The original antecedents of the UTAUT model are supplemented with effects from online rankings and reviews and herd behavior. Also the moderating effect of mobile application type in the research model is tested. The results of the study showed that some constructs from UTAUT2 model do explain user acceptance of mobile applications. Performance expectancy, price value and habit confirmed to be significant in the influence on the user behavioral intention to adopt mobile applications. The expected effect of online rankings and reviews and of herd behavior on the behavioral intention was not confirmed. The test of the moderating effect of mobile application type in the research model confirmed the presence of differences in the influences of some of antecedents in the model across hedonic and utilitarian mobile applications. This research contributes to the UTAUT research, advances the mobile application adoption research and establishes directions for the future research in the area of mobile application adoption.

nhhmas

Country
Norway
Related Organizations
Keywords

marketing and brand management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green