According to the meta-analytic review, which individual-level traits are identified as determinants of entrepreneurial performance?
The meta-analytic review identifies individual-level traits such as creativity, motivation, self-efficacy, emotional intelligence, risk-taking orientation, innovativeness, leadership ability, and hardiness as determinants of entrepreneurial performance. It highlights creativity, motivation, and self-efficacy as the strongest correlates.
The chapter's meta-analytic review of 39 studies found that individual-level backgrounds, including creativity, motivation, and self-efficacy, were the strongest performance correlates of entrepreneurial performance in AI-enabled and hybrid work environments. More broadly, individual-level determinants discussed in the review include emotional intelligence, self-efficacy, motivation, risk-taking attitude, innovativeness, leadership ability, and hardiness. These traits shape how entrepreneurs perceive opportunities, cope with uncertainty, build relationships, and respond to challenges in digitalized and hybrid settings.
Key points
- The overall meta-analysis effect size was moderate (r = 0.48).
- Creativity, motivation, and self-efficacy were the strongest individual-level performance correlates.
- Emotional intelligence, risk-taking attitude, innovativeness, leadership ability, and hardiness are also treated as individual-level determinants.
- Person-level skills remain central because they foster innovation, adaptability, and persistence under digitalized and hybrid work structures.
Related questions
- According to the meta-analytic review, which individual-level factors are identified as the strongest drivers of entrepreneurial performance in AI-enabled hybrid workplaces?
- How does the chapter's meta-analytic review synthesize findings on the relationship between entrepreneurial orientation and business performance, and what role does the external environment play as a moderator?
AI-Enabled Workforce Management for Hybrid Workplaces
Unknown
IGI Global Scientific Publishing