Harvard Talks Analytics, MIT Explores Diversity in Tech, and More – Boston News
Let’s explore some of the most interesting stories that have emerged from Boston business schools this week.
Should an Algorithm Tell You Who to Promote? – Harvard Business Review
Professor of human resource management Jeffrey T. Polzar published a fictionalized case study that illuminates the influential role that “people analytics” algorithms play in steering hiring managers to which hot new talent. In a recent interview with Harvard Business Review, Polzar said:
“The day after Anne’s farewell party, Aliyah met with Christine and Brad Bibson, a data scientist on the people analytics team. ‘We’ve just started looking at networks,” Brad said, ‘and we think they can reveal some useful information. These are network analyses based on Molly’s and Ed’s e-mail and meeting history at BBI. With their permission and without looking at the content of their e-mails or calendars, we analyzed who they had been in contact with across the firm over the past six months.'”
Explore more of the fictionalized case study here.
Diversity in Tech a “People Problem” In Need of a Management Solution – MIT Sloan Newsroom
The MIT Sloan Coders Club recently hosted the Black in Tech and Entrepreneurship panel, in which a group of five entrepreneurs and engineers “shared experiences and offered suggestions on what tech companies can do to diversify their workforces and diminish bias.” Adam Taylor, founder of news app Black, explains:
“It is a people problem. When you think about the people that are on your teams professionally, how would you hire someone to work with you every day for however long they’re with your company? You tend to hire people you’re comfortable with.”
Students Roderic Morris of Drift, Amal Hussein, Nana Essilfie-Conduah, and Adam Taylor / Photo via Mimi Phan
Read more about this diverse take on tech’s diversity issue here.
AI Knows What Customers Want, Transforms Supply Chains – D’Amore-McKim Blog
D’Amore-McKim’s distinguished professor of supply chain management Nada Sanders uses Spanish “fast fashion” company Zara as the shining example of an optimized supply chain that uses artificial intelligence to drive customer satisfaction. In fact, many other businesses have begun to crib notes.
“Seven-Eleven Japan has taken lessons from Zara, using technology to microsegment demand and to understand what customers want. They will literally reshuffle and change what the merchandising looks like in the course of one day, in one location, for different segments of customers.”
Read more about professor Sanders’ research here.
Babson Reveals New Scholarships, Rankings, for Blended Learning MBA – MetroMBA
MetroMBA recently spoke with F.W. Olin Graduate School of Business faculty director Phillip Kim about the shape of the Babson Blended Learning hybrid online MBA program, shortly after the school earned some high praise from the likes of the Financial Times.
“Our program integrates the best of the ‘full-time’ graduate experience with a delivery format designed for working professionals, whose time is at a premium. Our students can complete their MBA in 21 months while working full-time. They learn from accomplished faculty, who are experts in their own disciplines and translate academic concepts into practical takeaways for our students. We are also the number one school for entrepreneurship education, and this ethos is infused throughout the program.”
Read more of our interview with Kim here.
About the Author
Jonathan Pfeffer
Jonathan Pfeffer joined the Clear Admit and MetroMBA teams in 2015 after spending several years as an arts/culture writer, editor, and radio producer. In addition to his role as contributing writer at MetroMBA and contributing editor at Clear Admit, he is co-founder and lead producer of the Clear Admit MBA Admissions Podcast. He holds a BA in Film/Video, Ethnomusicology, and Media Studies from Oberlin College.
