Consumer Acceptance of High‐Autonomy AI Assistants Is Driven by Perceived Benefits in Online Shopping Settings Characterized by Scarcity

ABSTRACT Across one behavioral field experiment and four controlled online experiments with almost 2000 US and UK shoppers, the current research investigates the role of perceived benefits in driving consumer acceptance of highly autonomous artificial intelligence (AI), while also examining whether contextual factors, such as scarcity, influence this relationship. A Google Ads campaign revealed higher click‐through rates for high‐autonomy (vs. low‐autonomy) AI shopping assistants (Study 1). Scarcity amplified the perceived advantages of high‐autonomy AI (Studies 2A‐3B), whereas perceived benefits emerged as a central driver of adoption intentions of highly autonomous AI in scarcity‐related contexts (Studies 3A‐B). These findings replicate across study designs, settings, and outcomes, leveraging a novel contribution to the literature by shifting the focus from consumers’ personal sense of power to perceived benefits as pivotal drivers of AI acceptance. Managerially, the results suggest that firms can boost adoption of high‐autonomy AI by emphasizing benefits, particularly experiential ones, in marketing communications efforts of AI systems, especially in settings characterized by scarcity.

Authors

Institutions

Publication Details

Journal
Psychology and Marketing
Published
2025-10-28
DOI
https://doi.org/10.1002/mar.70074
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumer Acceptance of High‐Autonomy AI Assistants Is Driven by Perceived Benefits in Online Shopping Settings Characterized by Scarcity

Michał Folwarczny, Darius‐Aurel Frank, Tobias Otterbring
2 citations
Psychology and Marketing
AI in Service Interactions
4.96
article

Consumer Acceptance of High‐Autonomy AI Assistants Is Driven by Perceived Benefits in Online Shopping Settings Characterized by Scarcity

Michał Folwarczny, Darius‐Aurel Frank, Tobias Otterbring
article en
2 citations

Abstract

ABSTRACT Across one behavioral field experiment and four controlled online experiments with almost 2000 US and UK shoppers, the current research investigates the role of perceived benefits in driving consumer acceptance of highly autonomous artificial intelligence (AI), while also examining whether contextual factors, such as scarcity, influence this relationship. A Google Ads campaign revealed higher click‐through rates for high‐autonomy (vs. low‐autonomy) AI shopping assistants (Study 1). Scarcity amplified the perceived advantages of high‐autonomy AI (Studies 2A‐3B), whereas perceived benefits emerged as a central driver of adoption intentions of highly autonomous AI in scarcity‐related contexts (Studies 3A‐B). These findings replicate across study designs, settings, and outcomes, leveraging a novel contribution to the literature by shifting the focus from consumers’ personal sense of power to perceived benefits as pivotal drivers of AI acceptance. Managerially, the results suggest that firms can boost adoption of high‐autonomy AI by emphasizing benefits, particularly experiential ones, in marketing communications efforts of AI systems, especially in settings characterized by scarcity.

Psychology and MarketingVol. 43(3)
Ollscoil na Gaillimhe – University of Galway (IE), University of Agder (NO), Aarhus University (DK), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 4%
AI in Service Interactions
4.96
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.