Telling You More Fluently: Effect of the Joint Presentation of Eco-Label Information on Consumers' Purchase Intention

Int J Environ Res Public Health. 2022 Oct 21;19(20):13713. doi: 10.3390/ijerph192013713.

Abstract

An eco-label is an important tool for identifying green products in the marketplace. Most eco-labels, however, present a single icon that is simple and carries limited information, thus creating cognitive barriers for consumers. As a result, eco-labels might not always effectively promote green consumption. Based on dual coding theory and the spatial contiguity effect, this study investigated the effect of the "joint presentation of eco-label information" (JPEI), which adds (functional/emotional) descriptive text to eco-labels, on improving consumers' cognitive fluency in eco-labels and subsequent purchase intention. We conducted three studies and found that, compared with the "single presentation of eco-label information" (SPEI), JPEI improved the cognitive fluency of consumers with low eco-label knowledge. Furthermore, spatially contiguous JPEI was more effective than spatially partitioned JPEI for consumers with low eco-label knowledge. In addition, we specifically explored the information types of JPEI that were effective for consumers with low eco-label knowledge. Low-construal consumers had higher cognitive fluency and higher purchase intentions under functional JPEI, and high-construal consumers had higher cognitive fluency and higher purchase intentions under emotional JPEI. The results of this study enrich eco-label research and can provide theoretical guidance for marketing practices in eco-labels.

Keywords: cognitive fluency; construal level; eco-label; joint presentation of eco-label information; spatial contiguity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Consumer Behavior*
  • Intention*
  • Marketing
  • Surveys and Questionnaires

Grants and funding

This research was funded by Humanities and Social Science Planning Fund Project of the Ministry of Education of China, grant number 22YJA630092; Key Technology Research and Development Program of Shandong, China, grant number 2016CYJS1A01-3.