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Predictive Models for Nurses' Entrepreneurial Intentions Using Comparison of Competing Models
1Department of Nursing, Wooridul Hospital, Hanulgil 70, Gangseogu, Seoul 07505, Korea.
Summary
Predictive models can identify factors promoting nurse entrepreneurship. A combined model, integrating the Theory of Planned Behavior and meta-analysis, best explains nurses
Area of Science:
- Nursing
- Entrepreneurship
- Healthcare Management
Background:
- Nurses' entrepreneurial intentions (NEI) require predictive models to identify promoting variables.
- Understanding factors influencing NEI is crucial for fostering nurse entrepreneurship.
Purpose of the Study:
- To explore factors influencing nurses' entrepreneurial intentions.
- To develop and compare predictive models for nurses' entrepreneurial intentions.
Main Methods:
- Systematic review and meta-analysis to identify and validate factors influencing NEI.
- Development and comparison of three prediction models: Theory of Planned Behavior (TPB), meta-analysis, and a combined model.
- Data analysis of 386 nurses using SPSS and AMOS.
Main Results:
- The combined model (Model 3) demonstrated the highest explanatory power (60.0%) for nurses' entrepreneurial intentions, surpassing the TPB model (54.3%) and the meta-analysis model (35.8%).
- Key variables strengthening nurses' entrepreneurial intention include attitude, subjective norm, perceived behavioral control, entrepreneurial orientation, and the need for entrepreneurship education.
Conclusions:
- The study provides a theoretical model for explaining nurse entrepreneurship intentions.
- Findings support the development of start-up curricula in nursing colleges to cultivate prospective nurse entrepreneurs.
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