Stephanie R Leonard
Biographic Data
| ID | 4412311 |
|---|---|
| NAME | Stephanie R Leonard |
| GIVEN NAMES | Stephanie R |
| FAMILY NAME | Leonard |
| SIGNATURE | LEONARD S R |
| AFFILIATIONS | Howard University Department of Management |
| VERIFIED | No |
| 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 |
Deuces, I'm out . Understanding how and when trump-supporting supervisors increase black employees' turnover intentions
Purpose The objective of our research is to extend the literature that focuses on understanding the Trump effect on Black employees' turnover intentions. We rely on signaling theory to propose and test a model that clarifies how Trump-supporting supervisors increase Black employees' turnover intentions. Design/methodology/approach Our study relies on survey responses from 325 Black employees. Findings We find supervisors perceived as Trump-suppor…
Cognitive biases and research miscitations
Prior research on miscitations in academic literatures have painted a dismal picture of high rates of inaccuracy. While this issue and the problems that stem from inaccurate citations have been reviewed, the attention given to the causes of such inaccuracies has so far been narrow. The primary rationale given for citation errors is author lack of motivation. In the current manuscript, we suggest that examining the potential for cognitive biases t…
No prominent works on this page.
Cognitive biases and research miscitations
Prior research on miscitations in academic literatures have painted a dismal picture of high rates of inaccuracy. While this issue and the problems that stem from inaccurate citations have been reviewed, the attention given to the causes of such inaccuracies has so far been narrow. The primary rationale given for citation errors is author lack of motivation. In the current manuscript, we suggest that examining the potential for cognitive biases t…
Deuces, I'm out . Understanding how and when trump-supporting supervisors increase black employees' turnover intentions
Purpose The objective of our research is to extend the literature that focuses on understanding the Trump effect on Black employees' turnover intentions. We rely on signaling theory to propose and test a model that clarifies how Trump-supporting supervisors increase Black employees' turnover intentions. Design/methodology/approach Our study relies on survey responses from 325 Black employees. Findings We find supervisors perceived as Trump-suppor…
Academic Writing and Publishing (1 work) · authoritarian management (1 work) · Black workers (1 work) · Citation (1 work) · Cognition (1 work) · Cognitive bias (1 work) · Cognitive psychology (1 work) · Computer Science (1 work) · Confusion (1 work) · Conscientiousness (1 work)