Leveraging Rational Addiction Theory to Reduce Mobile Usage

The pervasive use of smartphones has raised concerns about their addictive and maladaptive nature. This article introduces an intervention based on rational addiction theory to cost-effectively nudge consumers to reduce smartphone usage, promoting sustainable digital consumption. The authors examine whether preannouncing future targets to reduce smartphone usage influences current consumption and behavioral change. They develop a mathematical model incorporating habit formation, satiation, and projection bias and test its predictions in three preregistered randomized controlled trials using objectively measured smartphone usage. When future incentives and targets are preannounced, consumers reduce usage preemptively compared with their baseline, consistent with rational addiction. This occurs only when participants are given fixed daily reduction targets, not when incentivized proportionally for reductions over time, and seems to reflect forward-looking habit formation, as other explanations (e.g., goal priming, capability testing) are unlikely to drive results. Interestingly, preemptive reductions are stronger among heavy users and those with stronger beliefs in meeting their targets. The authors also find that preemptive reductions help consumers meet their targets during the incentivized period and might support posttreatment behavioral sustenance. The model fitting results reveal considerable heterogeneity and offer insights into how digital detox experiences can be structured to promote sustainable behavior change.

Authors

Publication Details

Journal
Journal of Marketing
Published
2025-12-02
DOI
https://doi.org/10.1177/00222429251405841
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Rational Addiction Theory to Reduce Mobile Usage

Laura Zimmermann, Jeeva Somasundaram, Quang Duc Pham
Journal of Marketing
Behavioral Health and Interventions
article

Leveraging Rational Addiction Theory to Reduce Mobile Usage

Laura Zimmermann, Jeeva Somasundaram, Quang Duc Pham
article en

Abstract

The pervasive use of smartphones has raised concerns about their addictive and maladaptive nature. This article introduces an intervention based on rational addiction theory to cost-effectively nudge consumers to reduce smartphone usage, promoting sustainable digital consumption. The authors examine whether preannouncing future targets to reduce smartphone usage influences current consumption and behavioral change. They develop a mathematical model incorporating habit formation, satiation, and projection bias and test its predictions in three preregistered randomized controlled trials using objectively measured smartphone usage. When future incentives and targets are preannounced, consumers reduce usage preemptively compared with their baseline, consistent with rational addiction. This occurs only when participants are given fixed daily reduction targets, not when incentivized proportionally for reductions over time, and seems to reflect forward-looking habit formation, as other explanations (e.g., goal priming, capability testing) are unlikely to drive results. Interestingly, preemptive reductions are stronger among heavy users and those with stronger beliefs in meeting their targets. The authors also find that preemptive reductions help consumers meet their targets during the incentivized period and might support posttreatment behavioral sustenance. The model fitting results reveal considerable heterogeneity and offer insights into how digital detox experiences can be structured to promote sustainable behavior change.

Journal of Marketing
Openalex Percentile: Top 58%
Behavioral Health and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.