HOW TO NUDGE PRO-ENVIRONMENTAL BEHAVIOUR: AN EXPERIMENTAL STUDY
2019
- 3,650Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage3,650
- Abstract Views2,659
- 2,659
- Downloads991
Conference Paper Description
Last year, humankind exhausted the planet’s resources for the year earlier than ever before by consuming food, water, or clean air beyond the nature’s sustainable means. To prevent further environmental damages, understanding and promoting individual pro-environmental behaviour (PEB) is crucial. However, motivating individual PEB is considered difficult as it is often costlier and more burdensome than non-eco-friendly behaviour. One promising recent approach is the concept of ‘digital nudging’, which examines the effectiveness of user-interface elements to guide people’s behaviour in digital choice environments. Prior research has focused on nudging PEB through anchoring and adjustment, overlooking the import nudging mechanisms of priming and status quo bias. To test nudges’ direct and interaction effects on motivating individual PEB, we conducted a randomized, laboratory experiment with 120 participants. We find that groups nudged with a status quo bias acted more pro-environmentally. Surprisingly, we find no differences in PEB between groups nudged with priming and the control group, indicating priming’s ineffectiveness in motivating PEB. Our study contributes to research on Green IS and digital nudging and offers directions for future research.
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