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Identify predictors of university students’ continuance intention to use online carbon footprint calculator

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  • Shyh-ming Lin

Abstract

An online carbon footprint calculator (CFC) is a Green Information System, which enables individuals to self-estimate carbon footprints, self-manage behaviour, and accordingly self-control carbon emissions. Individuals’ persistent CFC use may help to slow down global warming. Thus, it is vital to establish a model to investigate the motivational predictors of CFC continuance intention. We formulated a model by integrating Expectation-Confirmation Model (ECM) and Theory of Planned Behaviour (TPB), with the former measuring continuance intention and the latter measuring low-carbon behavioural intention. To validate the model and identify significant predictors, a survey was conducted on undergraduate students. The survey results revealed that ECM accounted for 50% of the variance in continuance intention, that TPB accounted for 35% in low-carbon behavioural intention, and that the integrated model accounted for 64% in CFC continuance intention. Plus, direct and significant predictors of CFC continuance intention included low-carbon attitude, low-carbon behavioural intention, low-carbon subjective norm, satisfaction, and usefulness. Findings, implications, and suggestions are accordingly offered.

Suggested Citation

  • Shyh-ming Lin, 2017. "Identify predictors of university students’ continuance intention to use online carbon footprint calculator," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(3), pages 294-311, March.
    • Handle: RePEc:taf:tbitxx:v:36:y:2017:i:3:p:294-311
    DOI: 10.1080/0144929X.2016.1232751
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