The Power of AI Transparency, Rewards, and Tracking: How Mobile App Features Drive the Adoption of Smart Trash Bins Through Trust and Perceived Value

Document Type

Article

Source of Publication

Journal of Broadcasting and Electronic Media

Publication Date

6-22-2026

Abstract

This study investigates how mobile app features (AI transparency, rewards, and tracking) influence smart bin adoption. Grounded in nudge theory and the Stimulus-Organism-Response framework, an online experiment tested their effects on trust, perceived value, and adoption intention. Trust mediated the effect of all three features on adoption intention. Perceived value also mediated the effect of AI type and rewards, but only white-box AI showed a direct effect on intention. An interaction effect between rewards and tracking was found in the system with black-box AI. The findings offer theoretical contributions and practical guidelines for promoting sustainable technology use.

ISSN

0883-8151

Publisher

Informa UK Limited

Disciplines

Computer Sciences

Keywords

Mobile apps (0.74) | Value (mathematics) (0.66) | Power (physics) (0.54) | Bin (0.43) | Mobile device (0.42) | Computer science (0.42) | Grounded theory (0.41) | Tracking (education) (0.39) | Internet privacy (0.36) | Theory of planned behavior (0.33) | Psychology (0.33) | Business (0.32) | Smartphone app (0.32) | Advertising (0.31) | Marketing (0.31) | Knowledge management (0.29) | Smart device (0.29) | Mobile technology (0.27) | Social psychology (0.27) | Value theory (0.26) | Value creation (0.26)

Scopus ID

105042522664

Indexed in Scopus

yes

Open Access

no

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