Predicting University Students' Adoption of Mobile News Applications

Amit Mittal · Arun Aggarwal · Ruchi Mittal

149 citations0/0 files storedInternational Journal of E-Services and Mobile Applications

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Technology Adoption and User Behaviour Mobile Health and mHealth Applications Health, Technology, Consumer Behavior

Abstract

India is amongst the fastest growing markets for smartphones in the world which are driven by a young population. This study seeks to understand the intention to use mobile news applications by students in India. To address this broad objective, an extended technology adoption model has been proposed with the inclusion of news motivation and perceived hedonic value and tested on 384 students at a university in India. Structural equation modeling results reveal that student mobile news app adoption intention is not dependent on the perceived hedonic value; however, this relationship is mediated by attitude. News motivation predicts adoption intention, which indicates that news app adoption is largely seen as utilitarian, this is also proven by the fact that perceived usefulness significantly predicts adoption intention.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1991The theory of planned behavior 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1988Structural equation modeling in practice: A review and recommended two-step approach.2012Principles and Practice of Structural Equation Modeling 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

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