Modelling the enablers of sustainable consumer behaviour towards electronic products
Abstract
Purpose: The consumption patterns of humanity are putting an enormous burden on the resources, which are beyond the fulfiling capacity of the earth. These consumption patterns need to be made sustainable. Therefore, this study aims to focus on identifying the key enablers driving the sustainable consumer behaviour. Design/methodology/approach: Based on the literature review of 107 studies (1995 to 2018), which were published over a period of 23 years, fourteen key enablers of sustainable consumer behaviour were identified. These 14 enablers were validated with the help of empirical research done by surveying 200 consumers of electronic products. This was followed by the application of interpretive structural modelling (ISM) technique, to get an insight into how these enablers are influencing sustainable consumer behaviour. Findings: ISM technique and empirical research aided in classifying the enablers based on their driving and dependence power. A further analysis was done to know about the contextual relationship between all 14 enablers and how these enablers are influencing each other and sustainable consumer behaviour. Attitude, subjective norm and perceived controlled behaviour were found dependent variables while education, government policy and advertisement emerged as an autonomous variable. Research limitations/implications: This study will be helpful for future research in the field of sustainable consumer behaviour. Through understanding of the enablers of sustainable consumer behaviour, a scale can be developed having significant theoretical and managerial implications. This study may help in improving the sustainability initiatives by various stakeholders involved in the process of purchase, usage and dispose of electronic products. Originality/value: This study is the first temporal and spatial study, which includes a holistic view of the enablers of sustainable consumer behaviour.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The primary enablers for green product purchase and WTP for such products were environmental attitude, resource, ease of use, and product eco-labeling.
“The primary enablers for green product purchase and WTP for such products were environmental attitude (improving local environment), resource (money or wealth), ease of use, and product eco-labeling (Huang et al., 2006, Nnorom et al., 2009, Sheoran and Kumar, 2020).”
From A global review of consumer behavior towards e-waste and implications for the circular economy (2021) · cites this paper as Sheoran and Kumar, 2020
The citation lists haven’t been fetched yet
References 78 · Cited by 35
- Authors
- Sheoran, M., & Kumar, D.
- Affiliations
- Malaviya National Institute of Technology Jaipur (IN)
- Venue
- Journal of Modelling in Management
- Publisher
- Emerald
- Published
- 2020-06-13
- Volume
- 15
- Issue
- 4
- Pages
- 1543-1565
- ISSN
- 1746-5664 (ISSN-L)
- OpenAlex
- W3035239646
- Cited by
- 35
- References
- 78
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 5 · 2023: 8 · 2022: 8 · 2021: 7 · 2020: 2
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Modelling in Management (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Keywords
- sustainable consumer behavior, electronic devices, interpretive structural modeling, attitudes, subjective norms, perceived behavioral control, public policy, advertising, purchase decision, sustainable consumption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review