Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan
Weichen Teng,
Hsi-Peng Lu and
Hueiju Yu
Telecommunications Policy, vol. 33, issue 10-11, 628-641
Abstract:
Given that no all new mobile telecommunications technology are accepted by the mass market, this study aims to understand the mass adoption of third-generation (3G) mobile phones that is hypothesized to comprise three consumer perceptions: new technology, new service, and new handset. Based on the theoretical framework of a consumer's decision making process, an empirical study of the mass adoption of 3G mobile phones in Taiwan was conducted. This study demonstrated that perceived utility of a new mobile service was a key factor that resulted in mass adoption. Further, it was found that perceived utility of a new handset directly stimulate consumers to purchase 3G mobile phones. Perceived risk and perceived expense are not negatively correlated with intentions as hypothesized. Moreover, perceived no need was another key factor that inhibited adoption and purchase intention.
Keywords: 3G; Mobile; phone; Perceived; utility; Technology; acceptance; Consumer; behavior (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308596109000731
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:telpol:v:33:y::i:10-11:p:628-641
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/bibliographic
http://www.elsevier. ... /30471/bibliographic
Access Statistics for this article
Telecommunications Policy is currently edited by Erik Bohlin
More articles in Telecommunications Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().