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  • January 2023
  • Exercise

Identify the Health Care Venture
By: Regina E. Herzlinger and James Wallace
This case enables rapid learning of the key financial characteristics of many types of health care organizations and to diagnose their financial status. It is a surprisingly fun exercise (see the Teaching Note) accomplished by organizing groups of students that compete...  View Details
Keywords: Health Care; Health Care Spending; Health Care Financing; Health Care Industry; Health Care Operations; Health Care Delivery
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  • 2022
  • Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of tools...  View Details
Keywords: Analytics and Data Science
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  • 2022
  • Working Paper

Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have “private” information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by...  View Details
Keywords: Cognitive Biases; Algorithm Transparency; Forecasting and Prediction; Behavior; AI and Machine Learning; Analytics and Data Science; Cognition and Thinking
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  • 2022
  • Working Paper

The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with...  View Details
Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
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  • November 2022 (Revised December 2022)
  • Case

Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in...  View Details
Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
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  • November 2022
  • Teaching Note

Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern, Alpana Thapar and Menna Hassan
Founded by Nadine Hachach-Haram in 2016, Proximie was a digital medicine platform that used mixed reality and a host of digital audio and visual tools to enable clinicians, proctors, and medical device company personnel to be virtually present in operating rooms (ORs),...  View Details
Keywords: Technological Innovation; Business Growth and Maturation; Growth and Development Strategy; Corporate Social Responsibility and Impact; Decision Making; Health Industry; Medical Devices and Supplies Industry
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  • November 15, 2022
  • Article

Using Simulations to Upskill Employees
By: Frank V. Cespedes, Trond Aas, Alex Hunt and Huw Newton-Hill
Reskilling employees tops the agenda in many organizations, according to a LinkedIn report. Korn Ferry estimates an 85-million person talent shortage by 2030, and McKinsey likens the challenge to the shift from agricultural to manufacturing work that occurred in the...  View Details
Keywords: Employee Engagement; Managing People; Talent Development; Training; Human Capital; Experience and Expertise; Talent and Talent Management; Retention; Personal Development and Career
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  • November 2022 (Revised January 2023)
  • Case

Hugging Face: Serving AI on a Platform
By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which...  View Details
Keywords: Community; Open-source; AI and Machine Learning; Product Development; Networks; Service Delivery; Research; Governance; Business and Stakeholder Relations; Information Industry; Technology Industry; United States
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  • November 2022
  • Article

A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups
By: Anjali M. Bhatt, Amir Goldberg and Sameer B. Srivastava
When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining...  View Details
Keywords: Culture; Machine Learning; Natural Language Processing; Symbolic Boundaries; Organizations; Boundaries; Social Psychology; Interpersonal Communication; Organizational Culture
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  • November–December 2022
  • Article

Can AI Really Help You Sell?
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products...  View Details
Keywords: Sales; AI and Machine Learning; Customers
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  • 2022
  • Book

Complicit: How We Enable the Unethical and How to Stop
By: Max H. Bazerman
It is easy to condemn obvious wrongdoers such as Elizabeth Holmes, Adam Neumann, Harvey Weinstein, and the Sackler family. But we rarely think about the many people who supported their unethical or criminal behavior. In each case there was a supporting cast of...  View Details
Keywords: Complicity; Enabling; Ethics; Behavior; Personal Characteristics; Society
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  • 2022
  • Working Paper

Shared Models in Networks, Organizations, and Groups
By: Joshua Schwartzstein and Adi Sunderam
To understand new information, we exchange models or interpretations with others. This paper provides a framework for thinking about such social exchanges of models. The key assumption is that people adopt the interpretation in their network that best explains the...  View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
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  • 2022
  • Working Paper

The Evolution of ESG Reports and the Role of Voluntary Standards
By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The percentage of firms releasing these voluntary disclosures increased from 35% to 86% during this period, although the length of these documents experienced more modest growth. Using a...  View Details
Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting
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  • 2022
  • Working Paper

When Less Is More: Using Short-term Signals to Overcome Systematic Bias in Long-run Targeting
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response. Doing so requires firms to identify differences in customer sensitivity, which they often obtain using uplift modeling (i.e., heterogeneous treatment effect...  View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing
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  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for Homebuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Data-driven Decision-making; Decisions; Negotiation; Bids and Bidding; Valuation; Consumer Behavior; Real Estate Industry
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  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for Homebuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for Homebuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for iBuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for iBuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Decision Choices and Conditions; Decision Making; Market Timing; Measurement and Metrics
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  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for iBuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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