News use of mobile media

A contingency model

Bibliographic Data

ID13011969
AuthorsEsther Thorson (0000-0002-6514-801X, University of Missouri, corresponding author), Heather Shoenberger (0000-0001-6211-1361, University of Oregon), Tatsiana Karaliova (University of Missouri), Eunjin Kim (0000-0003-4007-4461, University of Missouri), Roger Fidler (University of Missouri)
Year2015
Volume3
Issue2
Pages160-178
Publication date2015-01-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMobile Media & Communication (JOURNAL)
Journal identifiersISSN: 2050-1579 • E-ISSN: 2050-1587
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/2050157914557692
OpenAlexW2079457035
LanguageEN
Citations received12
References cited29

A mobile contingency model is introduced and used to guide hypotheses about how the strength of people’s habits for using an incumbent medium (here, print newspapers), their degree of adoption of a newer medium (mobile devices), and their attitudes about the importance of professional news sources, influence their use of mobile devices for communication functions including entertainment, interpersonal communication, following news, financial transactions, and e-commerce. Secondary analysis of a 2012 U.S. national phone survey is employed. Older respondents use mobile devices less for all functions, including following news, tend to be loyal print subscribers, and highly agree that it is important for news to be produced by professional news sources. However, when the effect of age is controlled, higher levels of education, and to a lesser extent, income, still significantly predict agreement about the importance of professional news sources. The results demonstrate the crucial impact of news attitudes, and are largely supportive of the mobile contingency model. The most important practical implication is that newspaper companies should be targeting their mobile applications not to their subscribers, but rather to nonsubscribers who have adopted mobile devices, are highly educated, and have higher incomes

Advertising · Business · Contingency · Entertainment · Internet privacy · Interpersonal communication · Mobile device · Mobile phone · Mobile telephone · Newspaper · Political science · Telecommunications · World Wide Web · Computer Science · Digital Marketing and Social Media · Psychology · Social Media and Politics · Social Psychology · Technology Adoption and User Behaviour

Tools

Open DOISci-Hub