An Agent-Based Simulation of Corporate Gender Biases

  • Chibin Zhang
  • Paolo GaudianoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)


Diversity & Inclusion (D&I) is a topic of increasing relevance across virtually all sectors of our society, with the potential for significant impact on corporations and more broadly on our economy and our society. In spite of the value of human capital, Human Resources in general and D&I in particular are dominated by qualitative approaches. We introduce an agent-based simulation that can quantify the impact of D&I on corporate performance. We show that the simulation provides a compelling explanation of the impact of hiring and promotion biases on corporate gender balance, and it replicates the patterns of gender imbalance found in various industry sectors. These results suggest that agent-based simulations are a promising approach to managing the complexity of D&I in corporate settings.


Diversity & inclusion Agent-based simulation Workforce analytics 


  1. 1.
    Hunt, V., Yee, L., Prince, S., Dixon-Fyle, S.: Delivering through diversity (2018). Accessed 17 Feb 2019
  2. 2.
    Flabbi, L., Macis, M., Moro, A., Schivardi, F.: Do female executives make a difference? The impact of female leadership on gender gaps and firm performance. IZA Discussion Paper No. 8602 (2014). SSRN:
  3. 3.
    Dezsö, C.L., Ross, D.G.: Does female representation in top management improve firm performance? A panel data investigation. Strateg. Manag. J. 33(9), 1072–1089 (2012)CrossRefGoogle Scholar
  4. 4.
    Blau, F.D., Kahn, L.M.: The gender pay gap: have women gone as far as they can? Acad. Manag. Perspect. 21(1), 7–23 (2007)CrossRefGoogle Scholar
  5. 5.
    Biagetti, M., Scicchitano, S.: A note on the gender wage gap among managerial positions using a counterfactual decomposition approach: sticky floor or glass ceiling? Appl. Econ. Lett. 18(10), 939–943 (2011)CrossRefGoogle Scholar
  6. 6.
    Becker-Blease, J., Elkinawy, S., Hoag, C., Stater, M.: The effects of executive, firm, and board characteristics on executive exit. Financ. Rev. 51(4), 527–557 (2016)CrossRefGoogle Scholar
  7. 7.
    Shaffer, M.A., Joplin, J.R., Bell, M.P., Lau, T., Oguz, C.: Gender discrimination and job-related outcomes: a cross-cultural comparison of working women in the United States and China. J. Vocat. Behav. 57(3), 395–427 (2000)CrossRefGoogle Scholar
  8. 8.
    Hirsh, E., Cha, Y.: For law and markets: employment discrimination lawsuits, market performance, and managerial diversity. Am. J. Sociol. 123(4), 1117–1160 (2018)CrossRefGoogle Scholar
  9. 9.
    Murphy, T.: Morgan stanley settles sex-discrimination suit, 12 July 2004.
  10. 10.
    Jokinen, J., Pehkonen, J.: Promotions and earnings – gender or merit? Evidence from longitudinal personnel data. J. Labor Res. 38(3), 306–334 (2017)CrossRefGoogle Scholar
  11. 11.
    Bain, O., Cummings, W.: Academes glass ceiling: societal, professional-organizational, and institutional barriers to the career advancement of academic women. Comp. Educ. Rev. 44(4), 493–514 (2000)CrossRefGoogle Scholar
  12. 12.
    Catalyst, Pyramid: Women in S&P 500 Companies, 1 January 2019. Accessed 3 Mar 2019
  13. 13.
    Bielby, W.T., Baron, J.N.: Men and women at work: sex segregation and statistical discrimination. Am. J. Sociol. 91, 759–799 (1986)CrossRefGoogle Scholar
  14. 14.
    Matsa, D.A., Miller, A.R.: Chipping away at the glass ceiling: gender spillovers in corporate leadership. Am. Econ. Assoc. 101(3), 635–639 (2011). 0002-8282Google Scholar
  15. 15.
    Olsen, C., Becker, B.E.: Sex discrimination in the promotion process. Ind. Labor Relat. Rev. 36, 624–641 (1983)CrossRefGoogle Scholar
  16. 16.
    Kossek, E.E., Su, R., Wu, L.: “Opting Out” or “Pushed Out”? Integrating perspectives on women’s career equality for gender inclusion and interventions. J. Manag. 43(1), 228–254 (2016)Google Scholar
  17. 17.
    Niederle, M., Vesterlund, L.: Do women shy away from competition? Do men compete too much? Quart. J. Econ. 122(3), 1067–1101 (2007)CrossRefGoogle Scholar
  18. 18.
    Gjerde, K.A.: The existence of gender-specific promotion standards in the U.S. Manag. Decis. Econ. 23(8), 447–459 (2002)CrossRefGoogle Scholar
  19. 19.
    Lyness, K.S., Heilman, M.E.: When fit is fundamental: performance evaluations and promotions of upper-level female and male managers. J. Appl. Psychol. 91(4), 777–785 (2006)CrossRefGoogle Scholar
  20. 20.
    Vinkenburg, C.J., Engen, M.L., Eagly, A.H., Johannesen-Schmidt, M.C.: An exploration of stereotypical beliefs about leadership styles: is transformational leadership a route to women’s promotion? Leadersh. Quart. 22(1), 10–21 (2011)CrossRefGoogle Scholar
  21. 21.
    McKinsey & Company: Women in the workplace (2015)Google Scholar
  22. 22.
    Schelling, T.: Models of segregation. Am. Econ. Rev. 59(2), 488–493 (1969)Google Scholar
  23. 23.
    Waldrop, M.M.: Complexity: The Emerging Science at the Edge of Order and Chaos. Simon and Schuster, New York (1992)Google Scholar
  24. 24.
    Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. 99, 7280–7287 (2002)CrossRefGoogle Scholar
  25. 25.
    Gaudiano, P.: Understanding attribution from the inside out (2016). Accessed 5 Apr 2018
  26. 26.
    Duzevik, D., Anev, A., Funes, P., Gaudiano, P.: The effects of word-of-mouth: an agent-based simulation of interpersonal influence in social networks. In: 2007 Word of Mouth Research Symposium. Word of Mouth Marketing Association, Las Vegas (2007)Google Scholar
  27. 27.
    Gaudiano, P.: Agent-based simulation as a tool for the built environment. Ann. N. Y. Acad. Sci. 1295, 26–33 (2013)CrossRefGoogle Scholar
  28. 28.
    Garagic, D., Trifonov, I., Gaudiano, P., Dickason, D.: An agent-based modeling approach for studying manpower and personnel management behaviors. In: Proceedings of the 2007 Winter Simulation Conference, Washington (2007)Google Scholar
  29. 29.
    Gaudiano, P., Bandte, O., Duzevik, D., Anev, A.: How word-of-mouth impacts medicare product launch and product design. In: 2007 Word of Mouth Research Symposium. Word of Mouth Marketing Association, Las Vegas (2007)Google Scholar
  30. 30.
    Shargel, B., Bonabeau, E., Budynek, J., Buchsbaum, D., Gaudiano, P.: An evolutionary, agent-based model to aid in computer intrusion detection and prevention. In: Proceedings of the 10th International Command and Control Research and Technology Symposium, MacLean, VA (2005)Google Scholar
  31. 31.
    Page, S.E.: The Diversity Bonus. Princeton University Press, Princeton (2017)CrossRefGoogle Scholar
  32. 32.
    Bullinaria, J.: Agent-based models of gender inequalities in career progression. J. Artif. Soc. Soc. Simul. 21(3), 1–7 (2018)CrossRefGoogle Scholar
  33. 33.
    Takács, K., Squazzoni, F., Bravo, G.: The network antidote: an agent-based model of discrimination in labor markets. Presented at MKE 2012 Conference, Budapest, Hungary, 20–21 December 2012 (2012)Google Scholar
  34. 34.
    Robison-Cox, J.F., Martell, R.F., Emrich, C.G.: Simulating gender stratification. J. Artif. Soc. Soc. Simul. 10(3) (2007).
  35. 35.
    Gaudiano, P., Hunt, E.: Equal opportunity or affirmative action? A computer program shows which is better for diversity (2016).
  36. 36.
    Kalev, A., Dobbin, F., Kelly, E.: Best practices or best guesses? Assessing the efficacy of corporate affirmative action and diversity policies. Am. Sociol. Rev. 71(4), 589–617 (2006)CrossRefGoogle Scholar
  37. 37.
    Wilensky, U.: An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press, Cambridge (2015)Google Scholar
  38. 38.
    North American Employee Turnover: Trends and Effects. Accessed 20 Mar 2019
  39. 39.
    Naghdi Tam, A.: Agent-based simulation as a tool for examining the impact of a company’s reputation on attracting diverse talent. Unpublished Master’s thesis, City College of New York (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Aleria PBCNew YorkUSA
  2. 2.Quantitative Studies of Diversity and InclusionCity College of New YorkNew YorkUSA

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