Dynamics of Mobile Service Adoption

Hannu Verkasalo

36 citations0/0 files storedInternational Journal of E-Business Research

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Technology Adoption and User Behaviour ICT Impact and Policies Innovation Diffusion and Forecasting

Abstract

This study utilized a newly developed handset-based mobile end-user research platform and obtained data from 548 Finnish smartphone users in 2006. In addition to descriptive adoption statistics, a path analysis model is developed that explains mobile service adoption contingent on a set of explanatory variables. The paper finds that user intentions have a strong impact on consequent adoption of the service. What is more, perceived hedonic benefits from the service are the strongest factor driving user intentions to use the service. The perceived technical capability to use the service and the role of the surrounding social network explain little why early-adopter users intend to use services. Interestingly multimedia services are strongly driven by newer more capable handsets and mobile Internet browsing benefits significantly from block or flat-rate (instead of usage-based) pricing plans for transmitted data. The paper develops several indices that measure time-varying characteristics of mobile services.

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References

1991The theory of planned behavior 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 1985From Intentions to Actions: A Theory of Planned Behavior 1995Understanding Information Technology Usage: A Test of Competing Models 1934The Method of Path Coefficients

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2012Personal characteristics and mobile Internet use intensity of consumers with computer-centric communication devices: An exploratory empirical study of iPad and laptop users in Germany 2010Determinants of self-report and system-captured measures of mobile Internet use intensity 2014Lifestyles and Mobile Services Adoption in China 2010Communication behaviors and perceptions of mobile internet adopters 2011Attribute Perceptions as Factors Explaining Mobile Internet Acceptance of Cellular Customers in Germany

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