Kanwal Zahoor
Biographic Data
| ID | 4640786 |
|---|---|
| NAME | Kanwal Zahoor |
| GIVEN NAMES | Kanwal |
| FAMILY NAME | Zahoor |
| SIGNATURE | ZAHOOR K |
| AFFILIATIONS | Lahore Business School The University of Lahore Lahore Pakistan |
| ORCID | 0009-0005-3512-5860 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
From Creative Performance Pressure to Deviance
This study argues that many renowned organizations depend on their employees' creativity for top industry performance and meeting customer expectations in the current business era of hyper‐competition. This study aims to understand the dark side of creative performance pressure (CPP) in the workplace through the lens of moral disengagement theory (MDT). We specifically argue that CPP results in organizational deviance (discretionary behavior that…
Explainable artificial intelligence approach towards classifying educational android app reviews using deep learning
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users’ expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the process of classifying reviews many researchers have adopted machine learning approaches. Keeping in…
No prominent works on this page.
Explainable artificial intelligence approach towards classifying educational android app reviews using deep learning
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users’ expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the process of classifying reviews many researchers have adopted machine learning approaches. Keeping in…
From Creative Performance Pressure to Deviance
This study argues that many renowned organizations depend on their employees' creativity for top industry performance and meeting customer expectations in the current business era of hyper‐competition. This study aims to understand the dark side of creative performance pressure (CPP) in the workplace through the lens of moral disengagement theory (MDT). We specifically argue that CPP results in organizational deviance (discretionary behavior that…
Computer Science (2 works) · Artificial Intelligence (1 work) · Data science (1 work) · Developmental psychology (1 work) · Deviance (statistics) (1 work) · Disengagement theory (1 work) · Ethics in Business and Education (1 work) · Interpretability (1 work) · Job Satisfaction and Organizational Behavior (1 work) · Machine learning (1 work)