How AI-Driven User–Producer Interaction Fuels Interconnected Innovation: A Knowledge Exchange and Integration Perspective

In the rapid diffusion of artificial intelligence (AI), firms increasingly rely on AI to reshape user interactions, yet how such interactions translate into sustained innovation remains unclear. Adopting a user–producer interaction perspective, this study examines how AI-Driven User–Producer Interaction (ADUPI) affects User–Producer Interconnected Innovation (UPII), focusing on the mediating roles of User–Producer Knowledge Exchange (UPKE) and User–Producer Knowledge Integration (UPKI), as well as the moderating effect of AI Readiness (AIR). Using survey data from 974 firms and applying regression, mediation, moderation, and bootstrap analyses, the findings show that ADUPI significantly enhances UPII. Moreover, UPKE and UPKI jointly mediate this relationship, forming a dual mediation mechanism in which knowledge integration exerts a stronger effect than knowledge exchange. In addition, AIR positively moderates the effects of ADUPI on both UPKE and UPKI, amplifying innovation outcomes under higher AI readiness. This study advances AI and innovation research by shifting the focus from internal firm capabilities to cross-actor interaction, clarifying differentiated knowledge mechanisms, and highlighting AI readiness as a key condition for value realization. The results also provide actionable insights for firms seeking to convert AI-driven interaction into interconnected innovation through improved AI readiness and knowledge management.

Authors

Institutions

Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2026-02-21
DOI
https://doi.org/10.3390/jtaer21020071
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How AI-Driven User–Producer Interaction Fuels Interconnected Innovation: A Knowledge Exchange and Integration Perspective

Miaomiao Li, Yang Yu, Kuanwei Wu, Honglei Li
Journal of theoretical and applied electronic commerce research
Innovation and Knowledge Management
article

How AI-Driven User–Producer Interaction Fuels Interconnected Innovation: A Knowledge Exchange and Integration Perspective

Miaomiao Li, Yang Yu, Kuanwei Wu, Honglei Li
article en

Abstract

In the rapid diffusion of artificial intelligence (AI), firms increasingly rely on AI to reshape user interactions, yet how such interactions translate into sustained innovation remains unclear. Adopting a user–producer interaction perspective, this study examines how AI-Driven User–Producer Interaction (ADUPI) affects User–Producer Interconnected Innovation (UPII), focusing on the mediating roles of User–Producer Knowledge Exchange (UPKE) and User–Producer Knowledge Integration (UPKI), as well as the moderating effect of AI Readiness (AIR). Using survey data from 974 firms and applying regression, mediation, moderation, and bootstrap analyses, the findings show that ADUPI significantly enhances UPII. Moreover, UPKE and UPKI jointly mediate this relationship, forming a dual mediation mechanism in which knowledge integration exerts a stronger effect than knowledge exchange. In addition, AIR positively moderates the effects of ADUPI on both UPKE and UPKI, amplifying innovation outcomes under higher AI readiness. This study advances AI and innovation research by shifting the focus from internal firm capabilities to cross-actor interaction, clarifying differentiated knowledge mechanisms, and highlighting AI readiness as a key condition for value realization. The results also provide actionable insights for firms seeking to convert AI-driven interaction into interconnected innovation through improved AI readiness and knowledge management.

Journal of theoretical and applied electronic commerce researchVol. 21(2)
Ming Chuan University (TW), Beijing Information Science & Technology University (CN), Capital University of Economics and Business (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Innovation and Knowledge Management
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.

How AI-Driven User–Producer Interaction Fuels Interconnected Innovation: A Knowledge Exchange and Integration Perspective — Miaomiao Li, Yang Yu, et al. · Journal of theoretical and applied electronic commerce research (2026) | TGRS Research Map | TGRS