IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Technology Facility and News Affinity: Predictors of Using Mobile Phones as a News Device

Technology Facility and News Affinity: Predictors of Using Mobile Phones as a News Device
View Sample PDF
Author(s): Xigen Li (City University of Hong Kong, China)
Copyright: 2014
Pages: 27
Source title: Interdisciplinary Mobile Media and Communications: Social, Political, and Economic Implications
Source Author(s)/Editor(s): Xiaoge Xu (University of Nottingham Ningbo China, China)
DOI: 10.4018/978-1-4666-6166-0.ch016

Purchase

View Technology Facility and News Affinity: Predictors of Using Mobile Phones as a News Device on the publisher's website for pricing and purchasing information.

Abstract

Based on a theoretical framework drawn from the diffusion of innovation theory, the expectancy-value model, and the technology-acceptance model, this chapter presents an empirical study of technological and informational factors as predictors of the use of second-generation mobile phones as a news device. The study differentiates the initial adoption of a mobile phone as a technology innovation from second-level adoption, which refers to the acceptance of a distinctive new function of a technology device serving a communication purpose different from that for which the device was originally designed. The study found that technology facility and innovativeness were significant predictors of mobile phone use as a news device; further, it partially confirmed the model of predictors of mobile phone use for news access. However, the two informational factors—perceived value of information and news affinity—were found to have no direct effect on mobile phone use as a news device. The study departs from the traditional approach of adoption research and offers a novel perspective on examining the adoption of new media with multiple evolving functions.

Related Content

Tapan Kumar Behera. © 2023. 20 pages.
B. Narendra Kumar Rao. © 2023. 17 pages.
Blendi Rrustemi, Deti Baholli, Herolind Balaj. © 2023. 18 pages.
Alma Beluli. © 2023. 11 pages.
Jona Ndrecaj, Shkurte Berisha, Erita Çunaku. © 2023. 15 pages.
Yllka Totaj. © 2023. 12 pages.
Hla Myo Tun, Devasis Pradhan. © 2023. 31 pages.
Body Bottom