EconPapers    
Economics at your fingertips  
 

Big Data and Sustainable Consumption: A Review and Research Agenda

Shobhana Chandra and Sanjeev Verma

Vision, 2023, vol. 27, issue 1, 11-23

Abstract: Big data (BD) is making advances in promoting sustainable consumption behaviour and has attracted the attention of researchers worldwide. Despite the increased focus, the findings of studies on this topic are fragmented, and future researchers need a systematic understanding of the existing literature for identification of the research scope. This study offers a systematic review of the role of BD in promoting sustainable-consumption behaviour with the help of a bibliometric analysis, followed by a thematic analysis. The findings suggest that businesses deploy BD to create sustainable consumer experiences, predict consumer buying patterns, design and alter business models and create nudges for sustainable consumption, while consumers are forcing businesses to develop green operations and supply chains to reduce the latter’s carbon footprint. The major research gaps for future researchers are in the following areas: the impact of big data analytics (BDA) on consumerism, the role of BD in the formation of sustainable habits and consumer knowledge creation for sustainable consumption and prediction of green consumer behaviour.

Keywords: Big Data; Sustainability; Consumer Behaviour; Consumption; Bibliometric Analysis; Thematic Analysis (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/09722629211022520 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:vision:v:27:y:2023:i:1:p:11-23

DOI: 10.1177/09722629211022520

Access Statistics for this article

More articles in Vision
Bibliographic data for series maintained by SAGE Publications (sagediscovery@sagepub.com).

 
Page updated 2024-12-29
Handle: RePEc:sae:vision:v:27:y:2023:i:1:p:11-23