Publications

26 Apr 2016
First Look

April 26

Case 216-023 Models of Endowment Management: King's College, Cambridge One of the University of Cambridge's Colleges evaluates different asset management options for its endowment fund. Purchase this case:... View Details

Keywords: Sean Silverthorne

June 1991 (Revised December 1997)
Case

Takeover of the Norton Co., The

By: Thomas R. Piper

After a decade of mediocre performance, the Norton Co. enters 1990 with the prospect of increased sales in the next few years. Yet Norton is pursuing slow growth industries, and a lower than expected earnings announcement at the beginning of 1990 has depressed earnings... View Details

Keywords: Mergers and Acquisitions; Business Conglomerates; Goals and Objectives; Forecasting and Prediction; Performance Evaluation; Revenue; Bids and Bidding; Business Processes; Ownership Stake

Teaching Interest

Space: Public and Commercial Economics

By: Matthew C. Weinzierl

Space is a place of unparalleled possibility for humanity, and it is in the midst of a revolution. In this course, we will learn about this revolution and the companies, such as SpaceX, Blue Origin, Axiom, Planet, and more. We will be joined by leaders in the... View Details

Teaching Interest

Decision Making Under Uncertainty

By: David E. Bell

Many of the decisions we face are made complicated by having uncertain consequences: how should I set my inventory when I don’t know what demand will be, should I refinance my mortgage when rates might go lower, how big a bet shall I make in a new business, and so... View Details

August 2018 (Revised September 2018)
Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details

Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

August 2021 (Revised February 2024)
Case

Data Science at the Warriors

By: Iavor I. Bojinov and Michael Parzen

The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details

Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States

28 Jun 2011
First Look

First Look: June 28

the return predictability. In addition, we find that sell-side analysts are subject to these same information processing constraints, as their forecast revisions of easy-to-analyze firms predict their future revisions of more complicated... View Details

Keywords: Sean Silverthorne

October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

21 Oct 2014
First Look

First Look: October 21

source of information contains greater bias and slant-text written by an expert or that constructed via collective intelligence? Do the costs of acquiring, storing, displaying, and revising information shape those differences? We evaluate... View Details

Keywords: Sean Silverthorne

February 2013
Article

Daily Horizons: Evidence of Narrow Bracketing in Judgments from 9,000 MBA Admission Interviews

By: U. Simonsohn and F. Gino

Many professionals, from auditors and lawyers, to clinical psychologists and journal editors, divide a continuous flow of judgments into subsets. College admissions interviewers, for instance, evaluate but a handful of applicants a day. We conjectured that in such... View Details

Keywords: Judgments; Forecasting and Prediction; Research

Find at Harvard

04 Dec 2012
First Look

First Look: December 4

the detrimental effects of each trigger. We conclude by discussing implications and recommendations for organizational scholars to take a more integrative approach to developing and evaluating theory about unethical behavior. Learning... View Details

Keywords: Carmen Nobel

October 2023 (Revised January 2024)
Case

Ball: EVA Driving the World's Leading Can Manufacturer (A)

By: Jonas Heese and Susan Pinckney

The case describes Ball’s multi decade history of using Economic Value Added to drive decision making and workforce compensation. In 2016, the company acquired Rexam PLC and became the world’s leading metal beverage container company. Consumer demand for varied... View Details

07 Feb 2012
First Look

First Look: February 7

Evaluating Air Traffic Flow Management in a Collaborative Decision-Making Environment Authors:Douglas Fearing and Cynthia Barnhart Publication:Transportation Research Record, 2206 (2011) Abstract The Collaborative Decision-Making (CDM)... View Details

Keywords: Sean Silverthorne

June 2021
Technical Note

Introduction to Linear Regression

By: Michael Parzen and Paul Hamilton

This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details

Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science

11 Mar 2008
First Look

First Look: March 11, 2008

at Columbia University, which they had covered together, as all were alumni. They were commiserating about having to submit revised forecasts to their division heads by the end of the week. Alec Hastings, head of Global Institutional... View Details

Keywords: Martha Lagace

12 Mar 2024
HBS Case

How Used Products Can Unlock New Markets: Lessons from Apple's Refurbished iPhones

Some of Apple’s most loyal customers think nothing of upgrading to the latest iPhone every time one comes out. But what about consumers who can’t splurge on a $1,000 iPhone 15 Pro? And what about the electronic waste that would accrue if people threw away functional... View Details

Keywords: by Rachel Layne; Electronics; Information Technology

2010
Article

The Ethical Mirage: A Temporal Explanation as to Why We Are Not as Ethical as We Think We Are

By: A. E. Tenbrunsel, K. Diekmann, K A. Wade-Benzoni and Max Bazerman

This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and recollection is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details

Keywords: Forecasting and Prediction; Values and Beliefs; Framework; Research; Behavior; Cognition and Thinking; Perception; Prejudice and Bias

Find at Harvard

Read Now

Article

Towards Robust and Reliable Algorithmic Recourse

By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju

As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details

Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction