| _version_ | 1866901720042307584 |
|---|---|
| author | Esuola, Olapeju |
| author_facet | Esuola, Olapeju |
| contents | <p>This project explores the intersection of people analytics and quality compliance, focusing on how employee behavior impacts the success of quality initiatives. The key challenge addressed is ensuring consistent compliance with quality procedures, particularly during process improvements. By analyzing employee performance indicators such as sales targets, customer satisfaction, and working patterns, this study identifies behavioral and operational factors influencing compliance outcomes. A dataset containing policy compliance records and performance metrics is used to uncover patterns and predictors of non-compliance. The findings emphasize that effective compliance begins with people and that leveraging data can support proactive, people-centered quality assurance strategies.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15226526 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | PREDICTING COMPLIANCE: A PEOPLE ANALYTICS APPROACH TO PROACTIVE INTERVENTION Esuola, Olapeju people analytics Employee Compliance Predictive Modeling Classification Tree Performance Analysis Compliance Risk HR Analytics Feature Engineering Predictive HR Strategy <p>This project explores the intersection of people analytics and quality compliance, focusing on how employee behavior impacts the success of quality initiatives. The key challenge addressed is ensuring consistent compliance with quality procedures, particularly during process improvements. By analyzing employee performance indicators such as sales targets, customer satisfaction, and working patterns, this study identifies behavioral and operational factors influencing compliance outcomes. A dataset containing policy compliance records and performance metrics is used to uncover patterns and predictors of non-compliance. The findings emphasize that effective compliance begins with people and that leveraging data can support proactive, people-centered quality assurance strategies.</p> |
| title | PREDICTING COMPLIANCE: A PEOPLE ANALYTICS APPROACH TO PROACTIVE INTERVENTION |
| topic | people analytics Employee Compliance Predictive Modeling Classification Tree Performance Analysis Compliance Risk HR Analytics Feature Engineering Predictive HR Strategy |
| url | https://doi.org/10.5281/zenodo.15226526 |