
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Social Emotions and Good Provider Norms in Tackling Household Food Waste: An Extension of the Theory of Planned Behavior

doi: 10.3390/su14159681
handle: 11588/909322
Many studies have explored the antecedents of food waste in the framework of the theory of planned behavior (TPB). Scholars have also made efforts to add explaining variables to the original TPB, with mixed results; they often fail to demonstrate the incremental validity of the extended models. In the current study, we sought to assess whether an extended TPB model including social emotions and Good Provider norms could predict intention to reduce food waste. We also measured two behaviors which may be predicted by intentions to reduce food waste: (1) reducing servings and (2) using leftovers. The results show that social emotions help explain leftovers utilization, whereas the Good Provider norms are inversely correlated to the reduction of servings. Compared to the traditional TPB model, the extended version has more predictive power, especially as regards reducing servings.
social emotions, Environmental effects of industries and plants, leftovers, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, servings; leftovers; social emotions; extended TPB, servings, extended TPB, GE1-350
social emotions, Environmental effects of industries and plants, leftovers, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, servings; leftovers; social emotions; extended TPB, servings, extended TPB, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).16 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
