Electronic Resource

Article - Algorithmic Empowerment and Its Impact on Circular Economy Participation: An Empirical Study Based on Human–Machine Collaborative Decision-Making Mechanisms Volume 20, Isu 4 Artikel: 353 (Halaman 353–375)

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At the intersection of the circular economy and artificial intelligence (AI), high-value sec-
ondhand trading faces a “triple decision dilemma” of cognitive overload, trust risk, and

emotional attachment. To address the limits of traditional human-centered theories, this
study develops and empirically tests a novel framework of Algorithmic Empowerment.
Drawing on data from 1396 users of Chinese secondhand luxury platforms and analyzed
using Partial Least Squares Structural Equation Modeling (PLS-SEM), the findings reveal

that users’ empowerment perception arises from three dimensions—Algorithmic Connec-
tivity (AC), Human–Agent Symbiotic Trust (HAST), and Algorithmic Value Alignment

(AVA). This perceived empowerment affects participation willingness through two par-
allel pathways: the social pathway, where algorithmic curation shapes social norms and

recognition, and the cognitive pathway, where AI enhances decision fluency and reduces
cognitive friction. The results confirm the dual mediating effects of these mechanisms. This
study advances understanding of human–AI collaboration in sustainable consumption by

conceptualizing empowerment as the bridge linking algorithmic functions to user engage-
ment, and provides actionable implications for designing AI systems that both enhance
efficiency and foster user trust and identification.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

338.927 RU a

Penerbit

: MDPI (Multidisciplinary Digital Publishing Institute)., 2024

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

0718-1876

Klasifikasi

338.927 RU a

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Volume 20, Isu 4 Artikel: 353 (Halaman 353–375)

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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