Have you ever noticed that the higher up you look in a company, the fewer women you find? The facts tell a bleak story: although women comprise 46 percent of the workforce , they hold only 4 percent of CEO titles and 15 percent of executive-level roles at Fortune 500 companies , 25 percent of corporate boards seats , and 24 percent of senior management roles worldwide .
Why do so few women reach the C-suite? Research suggests that implicit gender biases among hiring managers play a role . Implicit gender biases, or stereotype-confirming thoughts, stem from perceived norms about men and women. Research shows that people are more likely to associate women with “communal” traits, such as kindness, sympathy, and helpfulness, and men with “agentic” traits, such as aggressiveness, decisiveness, and dominance . Gender stereotypes portray women as lacking qualities that effective leaders possess – traits typically associated with men.
How can practitioners concerned about gender equity in the workforce persuade hiring managers to overcome implicit biases and hire more female leaders? We can start with behavioral science. By drawing on three psychological principles – loss aversion, framing, and confirmation bias – practitioners can communicate that hiring and promoting more women leaders can improve companies’ bottom lines.
Behavioral Science, Democratized
We make 35,000 decisions each day, often in environments that aren’t conducive to making sound choices.
At TDL, we work with organizations in the public and private sectors—from new startups, to governments, to established players like the Gates Foundation—to debias decision-making and create better outcomes for everyone.
The Business Case for Women Leaders
We know that diversity brings different viewpoints, backgrounds, and experiences to teams within organizations. But the benefits go beyond internal dynamics: numerous studies have shown that greater gender diversity in the workplace correlates to stronger company performance.
A meta-analysis of 117,630 organizations evaluated the link between women’s leadership and business performance . Researchers analyzed various leadership roles within companies (CEOs, top management, and board members) and different measures of financial performance (return on investment and sales performance). The study found that women leaders, especially CEOs, positively correlated with company performance. Similarly, other research analyzed for-profit business performance data from the 1996-1997 National Organizations Survey . Results showed that organizations with high gender diversity were more likely to have higher profitability, greater sales revenue, and more customers than organizations with low or medium gender diversity — even after controlling for variables like company size, organization age, industrial sector, and region.
Evidence also shows that having women on company boards correlates with higher firm performance. One study analyzed the performance of companies listed on the Australian Security Exchange 300 index (ASX300) . The study was based on stakeholder theory, which holds that businesses are rooted within society and thus have some responsibility to do social good. Researchers analyzed how women’s communal traits, including concern for others’ welfare, affected female board members’ concern for stakeholders beyond its financial backers (i.e., shareholders). The study found women board representation to be indirectly correlated with stronger financial performance, because women were more likely to support pro-social activities like corporate social responsibility (CSR), which in turn directly correlate with stronger business performance.
How can practitioners use the evidence above in combination with behavioral science to reduce implicit gender biases among hiring managers?
Framing & Loss Aversion
The framing effect is one of the strongest cognitive biases in judgment and decision making . Differences in wording or settings can highlight positive or negative aspects of a choice, leading to changes in perceptions about its attractiveness. Kahneman and Tversky’s famous 1979 study also demonstrated framing as it related to their earlier model of prospect theory, which showed that humans perceive losses as more significant than gains of equal value. In other words, humans are easily affected by loss aversion, such that losing $75 feels more negative than gaining $100 feels positive.
By framing the potential financial risk of not hiring more women leaders, practitioners can attempt to persuade hiring managers – especially executives who have a direct interest in firm financial performance – to hire and promote more women leaders. Take the following example: knowing that organizations that have 30 percent female executives earn up to 6 percent more in profits , practitioners can communicate the risk of losing $30 million for a company who earns $500 million in revenue per year.
Confirmation bias is based on a cognitive heuristic – or mental shortcut – that gives more weight to evidence confirming our beliefs than to evidence opposing them. While we’d like to think our beliefs are always rooted in solid evidence, we may be more likely to avoid or dismiss differing viewpoints once we’ve formed an opinion.
Charles Lord and others’ classic 1979 study effectively illustrated the human tendency for biased reasoning . Researchers investigated whether presenting confirming or disconfirming evidence on the death penalty changed participants’ strongly held views. The study showed that when presented with evidence against their views, their original beliefs became more firmly rooted. This attitude polarization became known as the biased assimilation effect.
Five years later, the researchers conducted a follow-up study that suggested it may be possible to counter confirmation bias by asking individuals to “consider the opposite” of their existing beliefs . In two parallel experiments, participants again were presented with evidence confirming or disconfirming their beliefs about the death penalty. In the first experiment, participants were explicitly told to be “as objective and unbiased as possible in evaluating the studies” on the death penalty. In the second experiment, participants were given instructions to “ask yourself at each step whether you would have made the same high or low evaluations had exactly the same study produced results on the other side of the Issue” – the “consider the opposite” strategy.
The differences between the two groups were clear. When participants were explicitly instructed to be impartial and unbiased, they showed the same biases as in the original 1979 study. When participants were asked to “consider the opposite,” they reduced their confirmation bias and avoided favoring evidence that confirmed their existing beliefs. These findings suggest that, when given the right strategies, humans can overcome natural instincts to grasp evidence in line with current beliefs.
“Considering the opposite” during the hiring process may be a useful technique to overcome implicit bias. For instance, what if prior to interviewing candidates, hiring managers had to identify specific ways a diverse hire could benefit the company or team? Evidence suggests this strategy can help counter the confirmation biases that hiring managers often have about women’s leadership skills.
THE DECISION LAB
The AI Governance Challenge
Implicit gender biases aren’t the only reason there are so few women leaders. Family choices, career interests, and a host of other reasons likely all play a role. But for the women who want a fair shot at the corner office, it’s important to reduce implicit gender biases among hiring managers and make it clear that women leaders can benefit companies’ bottom lines. Then, maybe, we’ll get one step closer to gender equality in the workplace.
: Galbreath, Jeremy. “Is Board Gender Diversity Linked to Financial Performance? The Mediating Mechanism of CSR.” Business & Society 57, no. 5 (2016), 863-889. doi:10.1177/0007650316647967.
: Herring, Cedric. “Does Diversity Pay?: Race, Gender, and the Business Case for Diversity.” American Sociological Review 74, no. 2 (2009), 208-224. doi:10.1177/000312240907400203.
: Heilman, Madeline E., Caryn J. Block, and Richard F. Martell. “Sex Stereotypes: Do They Influence Perceptions of Managers?” Journal of Social Behavior & Personality 10, no. 6 (1995), 237-252.
: Hoobler, Jenny M., Courtney R. Masterson, Stella M. Nkomo, and Eric J. Michel. “The Business Case for Women Leaders: Meta-Analysis, Research Critique, and Path Forward.” Journal of Management 44, no. 6 (2016), 2473-2499. doi:10.1177/0149206316628643.
: Latu, Ioana M., Marianne S. Mast, and Tracie L. Stewart. “Gender Biases in (Inter) Action.” Psychology of Women Quarterly 39, no. 4 (2015), 539-552. doi:10.1177/0361684315577383.
 Lord, Charles G., Lee Ross, and Mark R. Lepper. “Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence.” Journal of Personality and Social Psychology 37, no. 11 (1979), 2098-2109. doi:10.1037/0022-3522.214.171.1248.
 Lord, Charles G., Mark R. Lepper, and Elizabeth Preston. “Considering the opposite: A corrective strategy for social judgment.” Journal of Personality and Social Psychology 47, no. 6 (1984), 1231-1243. doi:10.1037//0022-35126.96.36.1991
: “Missing Pieces Report: The 2018 Board Diversity Census.” Deloitte United States. Last modified February 21, 2019. https://www2.deloitte.com/us/en/pages/center-for-board-effectiveness/articles/missing-pieces-fortune-500-board-diversity-study-2018.html.
: Noland, Marcus, Tyler Moran, and Barbara R. Kotschwar. “Is Gender Diversity Profitable? Evidence from a Global Survey.” SSRN Electronic Journal, 2016. doi:10.2139/ssrn.2729348.
: Tversky, A., and D. Kahneman. “The framing of decisions and the psychology of choice.” Science 211, no. 4481 (1981), 453-458. doi:10.1126/science.7455683.
About the Author
Stacy uses applied behavioral science, social marketing, and behavior change models to communicate social issues ranging from environmental to public health to youth development. With a knack for translating complex, scientific findings into audience-friendly messaging to enact behavior change, she strives to use behavioral science to create a more productive and healthy society. Stacy completed an MA in Communication (social and behavior change communication) from Johns Hopkins University.