Daniel I Watts
Biographic Data
| ID | 5153443 |
|---|---|
| NAME | Daniel I Watts |
| GIVEN NAMES | Daniel I |
| FAMILY NAME | Watts |
| SIGNATURE | WATTS D I |
| AFFILIATIONS | Hankamer School of Business Baylor University Waco Texas USA |
| ORCID | 0000-0002-4092-7359 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
AI‐Augmented Leadership
With the growing integration of intelligent machines, leaders are increasingly collaborating with artificial intelligence (AI) to enhance their leadership effectiveness. The effects on leaders' teams, including how, why, and when leader‐AI collaboration contributes to team performance, however, remain inadequately understood. Drawing from the model of work role performance, this study theorizes that leader‐AI collaboration can support distinctive…
Unpacking the effects of socialization programs on newcomer retention
Decades of research conducted using field experiments and quasi-experiments have enabled us to accumulate causal evidence on the effectiveness of onboarding and socialization programs (SPs) across various contexts including employment, higher education, and military services. However, the literature is devoid of an integrated conceptual framework and a quantitative review evaluating the effect of such SPs on reducing newcomer turnover and its bou…
No prominent works on this page.
Unpacking the effects of socialization programs on newcomer retention
Decades of research conducted using field experiments and quasi-experiments have enabled us to accumulate causal evidence on the effectiveness of onboarding and socialization programs (SPs) across various contexts including employment, higher education, and military services. However, the literature is devoid of an integrated conceptual framework and a quantitative review evaluating the effect of such SPs on reducing newcomer turnover and its bou…
AI‐Augmented Leadership
With the growing integration of intelligent machines, leaders are increasingly collaborating with artificial intelligence (AI) to enhance their leadership effectiveness. The effects on leaders' teams, including how, why, and when leader‐AI collaboration contributes to team performance, however, remain inadequately understood. Drawing from the model of work role performance, this study theorizes that leader‐AI collaboration can support distinctive…
Applied Psychology (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · COVID-19 Pandemic Impacts (1 work) · Empirical research (1 work) · Employment and Welfare Studies (1 work) · Ethics and Social Impacts of AI (1 work) · Extant taxon (1 work) · Field (mathematics) (1 work) · Onboarding (1 work) · Proactivity (1 work)