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Novel Approaches to Analyze Consumer Behavior and Policies to Promote Sustainable Consumption

  • Bhagyashree Katare
  • , Xuejian Wang
  • , Shuoli Zhao
  • , Jacqueline Yenerall

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Technological advancements, such as online grocery shopping, have significantly transformed consumer retail environments and experiences. Effectively studying consumer behavior in these new environments requires the use of novel methodological approaches, which will also aid in developing interventions to encourage sustainable consumption. This paper begins by providing an overview of the current literature on novel approaches to analyzing consumer behavior, then provides an empirical application by examining consumer decision-making pathways within an online grocery shopping platform. Specifically, the paper focuses on exploring the consumers' digital footprints, such as page visits, product additions and removals, and interactions with information labels to identify patterns and interests in consumer responses to healthy and sustainable consumption. Findings highlight the potential benefits of integrating consumer search tracking data with environmental design to facilitate informed and conscious food choices.

Original languageEnglish
Pages (from-to)512-525
Number of pages14
JournalAgricultural Economics (United Kingdom)
Volume56
Issue number3
DOIs
StatePublished - May 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Agricultural Economics published by Wiley Periodicals LLC on behalf of International Association of Agricultural Economists.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • big data
  • consumer behavior
  • facial recognition technology
  • machine learning
  • online shopping

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Economics and Econometrics

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