Hernández, M., Raveendhran, R., Weingarten, E., & Barnett, M. (2019). How algorithms can diversify the startup pool: Data-driven approaches can help venture capital firms limit gender bias and make better, fairer investment decisions. MIT Sloan Management Review.
Chicago-Zitierstil (17. Ausg.)Hernández, Morela, Roshni Raveendhran, Elizabeth Weingarten, und Michaela Barnett. How Algorithms Can Diversify the Startup Pool: Data-driven Approaches Can Help Venture Capital Firms Limit Gender Bias and Make Better, Fairer Investment Decisions. [Cambridge, Massachusetts]: MIT Sloan Management Review, 2019.
MLA-Zitierstil (8. Ausg.)Hernández, Morela, et al. How Algorithms Can Diversify the Startup Pool: Data-driven Approaches Can Help Venture Capital Firms Limit Gender Bias and Make Better, Fairer Investment Decisions. MIT Sloan Management Review, 2019.