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Pei Jose Liu

Biographic Data

ID7396376
NAMEPei Jose Liu
GIVEN NAMESPei Jose
FAMILY NAMELiu
SIGNATURELIU P J
AFFILIATIONSNewcastle University
ORCID0000-0003-4954-6736
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Signaling and perceiving on equity crowdfunding decisions — a machine learning approach

    Open Access•Jiumin Yang, Jinjuan Yang et al.•ARTICLE•Small Business Economics•2025

    This study explores how signaling and perceiving jointly influence crowd investors’ decision-making. We utilize five machine learning models to assess the predictive power of various information types on crowdfunding success. Our findings indicate that investors prioritize well-structured quantitative data over complex qualitative content. Processing quantitative information is also found to be less cognitively taxing than extracting useful infor…

  • Work-Related Use of Information and Communication Technologies After Hours (W_ICTs) and Work-Family Conflict

    Open Access•Haixia Wang, Pei Liu et al.•ARTICLE•SAGE Open•2022

    Work-related use of information and communication technologies after hours (W_ICTs) has significant impacts on both organizations and individuals. However, limited research has explored the detrimental effects of W_ICTs behavior on work-family conflict. To fill this gap, based upon the job demands-resources (JD-R) model and daily diary design with a multilevel model method, we collected 76 employees who completed a 5-day investigation, resulting …

No prominent works on this page.

  • Work-Related Use of Information and Communication Technologies After Hours (W_ICTs) and Work-Family Conflict

    Open Access•Haixia Wang, Pei Liu et al.•ARTICLE•SAGE Open•2022

    Work-related use of information and communication technologies after hours (W_ICTs) has significant impacts on both organizations and individuals. However, limited research has explored the detrimental effects of W_ICTs behavior on work-family conflict. To fill this gap, based upon the job demands-resources (JD-R) model and daily diary design with a multilevel model method, we collected 76 employees who completed a 5-day investigation, resulting …

  • Signaling and perceiving on equity crowdfunding decisions — a machine learning approach

    Open Access•Jiumin Yang, Jinjuan Yang et al.•ARTICLE•Small Business Economics•2025

    This study explores how signaling and perceiving jointly influence crowd investors’ decision-making. We utilize five machine learning models to assess the predictive power of various information types on crowdfunding success. Our findings indicate that investors prioritize well-structured quantitative data over complex qualitative content. Processing quantitative information is also found to be less cognitively taxing than extracting useful infor…

Political science (2 works) · Autonomy (1 work) · Blockchain Technology Applications and Security (1 work) · Business (1 work) · Computer Science (1 work) · Cyberloafing and Workplace Behavior (1 work) · Economics (1 work) · Entrepreneurship (1 work) · Equity (law (1 work) · Equity crowdfunding (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae