Showing posts with label Hiring. Show all posts
Showing posts with label Hiring. Show all posts

Are Poor Project Management and Recruiting Practices Contributing to Gender Discrimination?

Are poor project management and recruiting practices contributing to gender discrimination at high-tech firms? Ellen Messmer, of Network World, thinks so. In her post Gender Discrimination Linked to Poor Project Management, she states that 'tech firms rely excessively on a 'hero mindset' to save runaway coding projects that are poorly organized, and employees with family responsibilities -- often women -- are sacrificed as a result."

Her conclusions are based on a new study by the Anita Borg Institute for Women and Technology. The study, "The Recruitment, Retention, and Advancement of Technical Women: Breaking Barriers to Cultural Change in Corporations" alleges that there is also bias against women in recruitment and job assignment in high-tech corporate cultures that thrive on this 'hero mindset'.

Ms. Messmer states that "this fly-by-the-seat-of-your-pants workaday world represents a pattern that's grown mainly because an organization 'poorly defines requirements and project management'." Ms. Messmer paraphrases a portion of the Borg report, stating:

"Silicon Valley's sometimes frantic fire-fighting pace and in-your-face communications style produce many technical cultures that 'leave women feeling isolated and crushed', according to the report."
The Anita Borg Institute is proposing some recommendations aimed at eliminating gender bias at high-tech firms. One of these recommendations is based on the finding that women are eliminated in the hiring process at the resume-reviewing level. The Institute proposes that companies might consider interviewing all women candidates.

While it may be the case that gender discrimination exists in recruiting, hiring, and job assignment, interviewing all female candidates is not the solution. I think that this is a very inefficient solution that would most likely have little effect on reducing any gender bias in hiring.

A better solution is to have clearly defined job descriptions with well-articulated qualifications. Each candidate should be objectively assessed against those qualifications.  In order to assist with this objective assessment, an organization may want to remove any information that would identify a candidate's "protected class status" and create a redacted 'candidate profile'. The 'candidate profile' would provide all information about education, qualifications, previous experience, and other pertinent information used by the organization in evaluating a candidate. This 'candidate profile' would then be passed along to hiring managers and decision makers. It should be noted that this is also an effective strategy for organizations that rely heavily on recruiting from social media; social media profiles tend to provide protected class information which should not be considered in the hiring process.

If a candidate is rejected at the 'candidate profile' screening phase, the reasons for this decision should be documented. Documentation of the objective rejection reasons, such as failure to meet minimum education or certification requirements,  is perhaps one of the most important things an organization can do. Not only does it create a permanent record of the rejection reason, it forces the hiring manager or decision maker to clearly articulate the reason(s) for which the candidate is rejected.

The creation of a 'candidate profile' will not guarantee a bias-free hiring process. There is still the opportunity for hiring managers and decision makers to introduce bias at the interview stage, either consciously or subconsciously. It is, however, a step in the right direction.

Reblog this post [with Zemanta]

Recap of Wednesday's Webinar 'Using Social Media for Recruiting? Beware Disparate Impact"

Today's installment on The Proactive Employer podcast is a 15-minute recap of the webinar from 2/9/10. To go along with that podcast, I thought I'd make the handout from my webinar available to everyone. Enjoy!

March Installments of "The Proactive Employer" Podcast

March Installments of "The Proactive Employer" Podcast

We have more great installments of "The Proactive Employer" scheduled for the next few weeks. We have another live installment and a special one hour episode. We'll be talking about the use of statistics in reduction in force and other employment decisions, compensation self-auditing, OFCCP requirements and compliance, calculation of economic damages in wrongful termination, and the elements of a comprehensive employment litigation risk management plan.

Friday, 2/26: In this LIVE installment, our guest will be Jonathan Hyman, a Partner in the Labor and Employment Group of Kohrman Jackson and Krantz. We will be discussing the use of statistics in reduction in force matters, and how statistical analysis factors into employment law. Mr. Hyman is the author of the Ohio Employer's Law Blog

Friday, 3/5: In this installment, I will be providing five standards for conducting an OFCCP-compliant compensation self-evaluation with respect to gender race, and ethnicity. We'll cover construction of similarly situated employee groupings (SSEGs), statistical analysis and multiple regression analysis, practical versus statistical significance, investigation and remediation of statistically significant disparities, and contemporaneous creation and retention of required data.

Friday, 3/12: We'll continue our discussion of compensation self-auditing. I'll be providing a recap of my webinar, "Understanding the Compensation Self-Audit". Topics include reasons to conduct a self audit, the self-audit framework, similarly situated employee groupings, edge factors, data measurability, availability and collection, multiple regression analysis, practical and statistical significance, and follow up investigations. The webinar will take place on Thursday, March 4 at 2PM Eastern. You can register for the webinar here. 

Friday, 3/19: In this installment, I will be discussing proactive statistical analyses. These analyses span the entire employment life cycle, from initial hiring, initial assignment and initial pay, to compensation, promotions, and reductions in force. These proactive statistical analyses will not only help you assess your risk of employment-related litigation, they can lead to operational efficiencies, more streamlined processes, and can help you transform your organization into a best-practices firm that can attract and retain top talent.

Friday, 3/26: In this installment, I will be providing an overview of the calculation of damages in wrongful termination litigation. My presentation will focus on the key issues and concepts, and will be non-mathematical in nature. We'll talk about mitigation, duration of unemployment and job search, and estimation of earnings streams but-for the alleged wrongful termination and given the alleged wrongful termination.

March should be a very exciting month at The Proactive Employer. I hope you'll be able to join me for these upcoming installments. You can listen online or download these podcasts at The Proactive Employer, or you can subscribe (free of charge) via iTunes.

Synopsis of "Manager Race and the Race of New Hires"

I recently came across an article in the Journal of Labor Economics that examines the relationship between manager race and the race of new hires.  The central question of this analysis is whether or not the race or ethnicity of the hiring manager a determinant of the racial and ethnic composition of new hires.  The authors of the article - Laura Giuliano, David Levine, and Jonathan Leonard - examine this question using "personnel data from a large U.S. retail firm".  Based on their analysis, the authors conclude:

  • Non-black managers (i.e., whites, Hispanics, and Asians) hire more whites and fewer blacks than do black managers;
  • Hispanic managers hire more Hispanics and fewer whites than white managers in locations where Hispanics make up at least 30% of the population.
Three primary explanations are offered by the authors.  First, managers may use racially segregated social networks when recruiting applicants. To test for managerial hiring networks, the authors "assume that there is some congruence between social networks and residential proximity, and we ask whether managers tend to hire employees who live near them".

Second, if manager-employee similarity improves employee productivity, managers may hire racially similar employees for efficiency purposes (referred to as 'statistical' discrimination).  Finally, both managers and employees may engage in 'taste-based' discrimination (indulging personal preferences).  The authors note that these explanations are not mutually exclusive and "it is difficult to distinguish between them empirically".

This analysis may have potential implications for the use of statistical analysis in race discrimination litigation.  If the authors' conclusions are correct and one cannot differentiate empirically between 'statistical' and 'taste-based' discrimination, one could not determine empirically whether the observed racial patters are attributable to "efficiencies" or personal preferences.