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User-Centric Intelligent Recommendations for E-Commerce Crowdfunding Success

Year: 2025

Type: article

Abstract: This study explores how intelligent recommendation systems and platform governance mechanisms jointly influence crowdfunding success in the context of China's rapidly growing digital economy. Using 300 structured survey responses and behavioral data from 5,000 real-world crowdfunding projects, the study investigates the critical roles of recommendation transparency, perceived platform control, and user learning capability in shaping investor trust and engagement. Adopting a mixed-method empirical framework, the findings reveal that enhancing algorithmic transparency and platform governance significantly fosters trust, which in turn improves crowdfunding outcomes. These insights offer actionable implications for policymakers and platform designers seeking to strengthen financial inclusion and support SME financing in emerging digital markets. The study contributes to the evolving discourse on digital platform governance by providing practical strategies for improving trust-building mechanisms in FinTech ecosystems.

Source: Journal of Organizational and End User Computing

DOI: 10.4018/joeuc.390797

Authors: Yunfeng Wang, Junhai Wang, Ibrahim Othman

Institutions: University of Technology Malaysia, Zhejiang Technical Institute of Economics

Language: English

Topic: FinTech, Crowdfunding, Digital Finance

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Peace, justice, and strong institutions

Open Access status: diamond

OpenAlex ID: W4415126010

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