Aligning lithium‐ion battery durability with consumer needs: A data‐driven analysis of consumption behavior.
This paper aims to analyze consumer behavior in laptop lithium‐ion battery consumption throughout their life cycle. As the demand for battery‐powered products continues to grow, helping consumers select batteries that align with their actual usage patterns is important for promoting sustainable cons...
| Published in: | Journal of Industrial Ecology Vol. 29; no. 6; pp. 2404 - 2417 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Published: |
Springer Nature
Dec2025
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=189935746&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 189935746 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10881980 FL1 jtl: Journal of Industrial Ecology issn: 10881980 maglogo: Y pubinfo: dt: Dec2025 vid: 29 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 189935746 10.1111/jiec.70126 ppf: 2404 ppct: 13 formats: tig: atl: Aligning lithium‐ion battery durability with consumer needs: A data‐driven analysis of consumption behavior. aug: au: Sabbaghi, Mostafa Behdad, Sara affil: Marketing and Supply Chain Management Department, California State University, Sacramento California,, USA Department of Environmental Engineering Sciences, University of Florida, Gainesville Florida,, USA su: Consumer behavior Lithium-ion batteries Energy storage Logistic regression analysis Sustainable consumption sug: subj: Consumer behavior Lithium-ion batteries Energy storage Logistic regression analysis Sustainable consumption keyword: binary integer programming consumer behavior durability lithium‐ion battery multinomial logistic regression sustainable consumption binary integer programming consumer behavior durability lithium‐ion battery multinomial logistic regression sustainable consumption ab: This paper aims to analyze consumer behavior in laptop lithium‐ion battery consumption throughout their life cycle. As the demand for battery‐powered products continues to grow, helping consumers select batteries that align with their actual usage patterns is important for promoting sustainable consumption. However, there is limited research on whether consumers' choices of battery features, such as capacity, are compatible with their real consumption needs. To investigate this, a multinomial logistic regression model is developed to predict battery health status over time. The study uses a dataset of 719 records collected from student laptop users in Chicago, IL. The dataset includes technical specifications and usage metrics such as charging cycles, full and design capacities, and battery age. The findings show that each additional cycle increases the likelihood of degradation by 0.022. On the other hand, batteries with larger design capacities tend to be more durable, with each additional unit of capacity reducing the likelihood of degradation by 0.0011. Next, an optimized consumption scenario is suggested to demonstrate how aligning battery choice with real usage needs can lead to more sustainable outcomes. The results show a nearly 60% reduction in the likelihood of battery degradation, achieved by better matching battery capacity with consumer' actual needs. Finally, we discuss the sustainability benefits of the proposed scenario. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|