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This study reports on a meta-analytic investigation of the effects of intrinsic, extrinsic, hedonic and utilitarian motivations on IS system usage. The study extends the work of Wu and Lu (2013) and considers the effects of 16 motivations on usage, behavioural intention, perceived usefulness (PU) and perceived ease of use (PEOU). 73 studies published between 2009 and 2016 met the inclusion criteria. Bare bones and true score correlations were calculated and moderation analysis was performed. Curiosity has the strongest effects on behavioural intention while social interaction has the strongest effects on usage. Results also show that enjoyment and playfulness motivations have stronger effects on behavioural intention in hedonic system contexts, and reward motivation has stronger effects on utilitarian systems usage. The application of motivation theory to adoption and use of information systems together with synthesis of empirical data may provide new insights in system usage behaviour

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Aug 10th, 12:00 AM

The Effects of Intrinsic, Extrinsic, Hedonic, and Utilitarian Motivations on IS Usage: An Updated Meta-analytic Investigation

This study reports on a meta-analytic investigation of the effects of intrinsic, extrinsic, hedonic and utilitarian motivations on IS system usage. The study extends the work of Wu and Lu (2013) and considers the effects of 16 motivations on usage, behavioural intention, perceived usefulness (PU) and perceived ease of use (PEOU). 73 studies published between 2009 and 2016 met the inclusion criteria. Bare bones and true score correlations were calculated and moderation analysis was performed. Curiosity has the strongest effects on behavioural intention while social interaction has the strongest effects on usage. Results also show that enjoyment and playfulness motivations have stronger effects on behavioural intention in hedonic system contexts, and reward motivation has stronger effects on utilitarian systems usage. The application of motivation theory to adoption and use of information systems together with synthesis of empirical data may provide new insights in system usage behaviour