Purpose: This paper aims to investigate the motivation to use highly autonomous AI in the form of subscription platforms for physical goods, and the impact of beliefs about technological affordances. Design/methodology/approach: This research is based on data collection from two samples with 313 and 401 respondents to explore users’ perceptive of highly autonomous AI subscription platforms in the context of grocery and fast-fashion sectors. Findings: Results show that adoption of highly autonomous AI depends on perceived functional congruity, psychological reactance, and related situational cues, whose importance varies across the sectors. These effects are partly moderated by regulatory focus traits. Originality/value: This paper extends knowledge of platformisation by showing consumers’ interest in highly autonomous AI subscription platforms. It further brings new evidence of how AI can push product demand through subscription services.

Highly autonomous AI impact on the demand for physical goods

SERRAVALLE, FRANCESCA
First
;
2025-01-01

Abstract

Purpose: This paper aims to investigate the motivation to use highly autonomous AI in the form of subscription platforms for physical goods, and the impact of beliefs about technological affordances. Design/methodology/approach: This research is based on data collection from two samples with 313 and 401 respondents to explore users’ perceptive of highly autonomous AI subscription platforms in the context of grocery and fast-fashion sectors. Findings: Results show that adoption of highly autonomous AI depends on perceived functional congruity, psychological reactance, and related situational cues, whose importance varies across the sectors. These effects are partly moderated by regulatory focus traits. Originality/value: This paper extends knowledge of platformisation by showing consumers’ interest in highly autonomous AI subscription platforms. It further brings new evidence of how AI can push product demand through subscription services.
2025
1
19
subscription services; artificial intelligence (AI); highly autonomous AI; low-involvement products
SERRAVALLE, FRANCESCA; Davlembayeva, Dinara ; Pantano, Eleonora; Marikyan, Davit,
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2105230
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