Applying an attitude network approach to consumer behaviour towards plastic

Open Access
Authors
Publication date 06-2020
Journal Journal of Environmental Psychology
Article number 101433
Volume | Issue number 69
Number of pages 14
Organisations
  • Faculty of Social and Behavioural Sciences (FMG)
  • Faculty of Science (FNWI) - Van 't Hoff Institute for Molecular Sciences (HIMS)
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract
In a time of rapid climate change, understanding what may encourage sustainable consumer behaviour is a vital but difficult challenge. Using an attitude network approach, we investigated which associations people have towards conventional and bio-based plastic in order to develop an empirically-based approach to initiate attitude- and behaviour change. With a qualitative study (N = 97), we distilled 25 evaluative reactions (i.e. beliefs, emotions, and behaviours) that encompass people's attitudes towards using (bio-based) plastic. These reactions were used to create a new scale, which was subsequently tested among 508 online participants. The resulting data was then used to build a network displaying relationships between participants' evaluative reactions regarding plastic use. Analyses of this network indicated that guilt was most strongly connected to people's willingness to pay more for bio-based plastic products. Based on this, we conducted another study (N = 285) in which we experimentally manipulated guilt (general guilt, personal guilt, and control condition) to determine its effects on people's willingness to pay for a sustainable cause. Results indicate that manipulating guilt can lead participants to donate more to a sustainable cause. This effect was fully mediated by self-reported guilt. Determining which factors influence consumers to change their buying behaviour towards sustainability is the first step in creating a demand for more sustainable products amongst the public and investors.
Document type Article
Note With supplementary files
Language English
Published at https://doi.org/10.1016/j.jenvp.2020.101433
Other links https://osf.io/ujznv/?view_only=74b29e5c4c8a42659abbfc5c1a124f21
Downloads
1-s2.0-S0272494419308783-main (Final published version)
Supplementary materials
Permalink to this page
Back