MNMGT$202$ CASE STUDY: Karen$$s Recruitment process

The scenario below summarizes a recruiter$$s effort to best manage the first round of r$$sum$$ selection in a limited time. Karen is one of her company$$s most successful recruiters, handling an average of twenty$-$five requisitions per month, filling $75$ percent of the positions within forty$-$five days. Read the scenario and answer the questions that follow.

Karen opened her application folder for the financial analyst position. The number of r$$sum$$s listed gave her a moment to sigh: $152$ r$$sum$$s have been submitted for this position. She had one hour before her next interview to review them all and send the five best to the hiring manager.

She had built a process for weeding through the r$$sum$$s quickly. Her company had targeted five universities for their college recruitment program. Even though this was not a college hire, Karen knew that having attended the targeted college would give a candidate a leg up$.$ She was able to quickly filter out those who did not have one of these five colleges on their r$$sum$$s$.$ This process left her with a manageable thirty$-$two r$$sum$$s$.$ A quick review showed all but five had the prerequisites for the opening.

Karen knew the candidate for this position had to have sound mathematical skills. The last person hired for this position was Ann Sung. Kim Lee$$s r$$sum$$ had similarities with Ann$$s$,$ so it went into the best pile. $$Only four more to go$,$ Karen whispered to herself.

Candidates Sam Johnson and Fred Hanlon were both U$.$S$.$ Navy reservists, as was Peter, the hiring manager. Karen knew Peter would enjoy speaking with them. $$Two r$$sum$$s for the best pile left and fifteen minutes before I have to get going,$$ she thought.

The company had recently created a requirement that all candidate pools have at least two $$diversity$$ individuals. Although there were no photos on the r$$sum$$s$,$ Karen thought Jamal Williams was African American, so she added his r$$sum$$ to the pool to help satisfy this requirement. Lastly, she saw a r$$sum$$ of someone who had worked at her previous employer. She liked everyone she had interviewed from this employer, so this r$$sum$$ helped her get to the five best, with five minutes to spare for a bathroom break.

Donovan, Mason. The Inclusion Dividend: Why Investing in Diversity and Inclusion Pays Off $($pp$.120-122).$ Bibliomotion, Inc.. Kindle Edition.

Questions for Case Study: Karen$$s Recruitment Process

Q$1.$Karen shows some biases in her recruitment process. Identify $($Name$)$ and describe three examples that occur in the case study. Make suggestions for what Karen could do differently to limit the impact of her biases?

Q$2.$ The company has a policy of recruiting a certain number of $$diverse$$ individuals. Do you think that such a policy is effective in creating a diverse and inclusive organization? How could the company change their hiring practices to limit bias in the selection process?