Scenario
QuantumNet Innovations is a well-established tech firm that prides itself on innovation and diversity in the workplace. Recently, employees and job applicants have raised concerns about potential discriminatory practices within the company related to hiring, training, and promotions. As an HR manager responsible for ensuring fair and inclusive practices, you have decided to investigate recent allegations of discrimination by designing an ethical audit to gather important data. (Note: This is a fictional company and scenario that should be used as a starting point for the assignment. Make all assumptions necessary based on your knowledge of human resource management.)
Instructions
Research: Visit the EEOC website for information on their legal resourcesLinks to an external site. on discrimination and their Employers/Small Business page. Select one of the following types of discrimination, listed on the EEOC website, that you want to research and audit for this assignment
Report: Create a 7-8 page report for the company leadership that represents your recommendations on designing the ethical audit.
Include the following:
1. Establish Clear Objectives: Define the purpose and scope of the ethical audit, focusing on the chosen type of discrimination.
Clearly outline the audit process's goals, expectations, and desired outcomes.
2. Review Policies and Procedures: If you were to examine QuantumNet's HR policies, procedures, and practices, what might you uncover related to recruitment, hiring, promotion, training, and employee development?
Recommend how two or more of these policies could be revised to better promote equal opportunities for all employees. (Note: Make all assumptions necessary based on your knowledge of human resource management.)
3. Analyze Data and Metrics: Determine what workforce demographic data you would review to identify any patterns or disparities related to the type of discrimination.
Summarize the workforce demographic data you would review.
Describe the data analysis needed to determine if there are any trends indicating bias in decision-making processes.