Work

Research on the Impact of Crowdsourcing Service Providers' Transaction Guarantee on Store Performance based on Data Mining

Year: 2025

Type: conference-paper

Abstract: Crowdsourcing can gather talents from various fields to participate in technological innovation and value creation, providing valuable solutions. However, the varying capabilities of crowdsourcing service providers introduce transaction risks and reduce transaction performance. This study adopts an empirical research approach, using data from service providers on the Epwk platform as a sample, and employs data mining techniques to construct a credit evaluation model for crowdsourcing service providers. It further analyzes the impact pathways of transaction guarantee mechanisms on store performance. The research reveals the mechanisms through which different transaction guarantee mechanisms affect store performance, providing a theoretical basis for platforms to optimize their transaction guarantee systems.

DOI: 10.1145/3729706.3729795

Authors: Yanrong Huang, Panjiang Zhao, Yi Qin, Mohammad Musa, Yingying Wang

Institutions: Universidad de Jaén, Zhejiang University of Water Resource and Electric Power, Xi'an Eurasia University, Guizhou University

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Zhejiang Office of Philosophy and Social Science, Zhejiang University of Water Resources and Electric Power, National Natural Science Foundation of China, Zhejiang University, Jilin Office of Philosophy and Social Science, Science and Technology Department of Zhejiang Province

Awards: G1903540925, 基于机器学习的众包参与者信誉评估研究, G4359493051, G5410066598, G6141134927, G6491491700, G7989342406, G8374130595, G8396818190, G8941544468

OpenAlex ID: W4411887639

FWCI:

Cites: 3

Cited by:

Related to: 10