Start Date
14-12-2012 12:00 AM
Description
The diffusion of mobile data services (MDS) has been growing tremendously since 2007. Owing to the ubiquity and usability of multipurpose information appliances (MIA) such as smartphones, MDS have permeated every walk of life of many people. Using MIA allow users to access MDS anytime and anywhere to satisfy utilitarian, hedonic, and social needs. Hence, MDS can provide both instrumental (e.g., productivity) and inherent (e.g., entertainment) value. To date little research exists about the changes in adoption and usage behavior over time and the differences in the factors influencing people in the pre- or post-adoption stage. The present study addresses these gaps. To validate the research model the paper builds upon data collected from 1,342 students in 2008 which will be questioned again in the course of the present study. It is expected that the findings will help refining researchers’ understanding regarding the differences of determinants influencing users and non-users.
Recommended Citation
Kranz, Johann Joachim, "The Difference Of Determinants Of Mobile Data Services’ Adoption And Continuance – A Longitudinal Study" (2012). ICIS 2012 Proceedings. 50.
https://aisel.aisnet.org/icis2012/proceedings/ResearchInProgress/50
The Difference Of Determinants Of Mobile Data Services’ Adoption And Continuance – A Longitudinal Study
The diffusion of mobile data services (MDS) has been growing tremendously since 2007. Owing to the ubiquity and usability of multipurpose information appliances (MIA) such as smartphones, MDS have permeated every walk of life of many people. Using MIA allow users to access MDS anytime and anywhere to satisfy utilitarian, hedonic, and social needs. Hence, MDS can provide both instrumental (e.g., productivity) and inherent (e.g., entertainment) value. To date little research exists about the changes in adoption and usage behavior over time and the differences in the factors influencing people in the pre- or post-adoption stage. The present study addresses these gaps. To validate the research model the paper builds upon data collected from 1,342 students in 2008 which will be questioned again in the course of the present study. It is expected that the findings will help refining researchers’ understanding regarding the differences of determinants influencing users and non-users.