Pei Jose Liu
Biographic Data
| ID | 7396376 |
|---|---|
| NAME | Pei Jose Liu |
| GIVEN NAMES | Pei Jose |
| FAMILY NAME | Liu |
| SIGNATURE | LIU P J |
| AFFILIATIONS | Newcastle University |
| ORCID | 0000-0003-4954-6736 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Signaling and perceiving on equity crowdfunding decisions — a machine learning approach
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
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
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
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)