Publications

17 May 2011
First Look

First Look: May 17

income taxation. I show analytically how age dependence improves policy on both the intratemporal and intertemporal margins. I use detailed numerical simulations, calibrated with data from the U.S. PSID, to... View Details

Keywords: Sean Silverthorne

09 Oct 2012
First Look

First Look: October 9

Abstract Key to the effective use of big data are the analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources... View Details

Keywords: Sean Silverthorne

2014
Working Paper

Team Scaffolds: How Meso-Level Structures Support Role-based Coordination in Temporary Groups

By: Melissa A. Valentine and Amy C. Edmondson

This paper shows how meso-level structures support effective coordination in temporary groups. Prior research on coordination in temporary groups describes how roles encode individual responsibilities so that coordination between relative strangers is possible. We... View Details

Keywords: Fluid Personnel; Team Scaffolds; Team Effectiveness; Role-based Coordination; Multi-method; Health Care and Treatment; Analytics and Data Science; Knowledge Use and Leverage; Organizational Structure; Outcome or Result; Performance Effectiveness; Groups and Teams; Networks; Behavior; Balance and Stability; Health Industry

SSRN

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29 Oct 2019
Sharpening Your Skills

Robots in the Boardroom

Learning Teaches Us about CEO Leadership StyleResearchers turn to machine-learning technology to look for links between a CEO's communications style and company performance. Use Artificial Intelligence to Set Sales Targets That MotivateUsing AI-based advanced View Details

Keywords: by Sean Silverthorne

October 2001 (Revised October 2017)
Case

Store24 (A): Managing Employee Retention

By: Frances X. Frei and Dennis Campbell

Provides a retailing context in which employee retention strategies are explored through analyzing detailed store-level data. View Details

Keywords: Retention; Management Analysis, Tools, and Techniques; Analytics and Data Science; Strategy; Mathematical Methods; Retail Industry

11 Nov 2014
First Look

First Look: November 11

2014 Harvard Business Review Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business By: Iansiti, Marco, and Karim R. Lakhani Abstract—When Google bought Nest, a maker of digital thermostats, for $3.2 billion... View Details

Keywords: Sean Silverthorne

07 Apr 2009
First Look

First Look: April 7, 2009

for tactical purposes, such as promotional campaigns. Its management team is thinking about how to incorporate that information to the budgeting (profit-planning) process. From an analytical standpoint the case looks at the surprising... View Details

Keywords: Martha Lagace

2024
Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang

We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details

Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics

SSRN

08 Mar 2022
Research & Ideas

Representation Matters: Building Case Studies That Empower Women Leaders

"The data show that students’ responses to a case are about more than the text itself." Exploring gender in case production offered one set of insights, but we also wanted to understand how it figured in the HBS classroom during the same... View Details

Keywords: by Colleen Ammerman and Boris Groysberg

April 2024
Case

Dr. Tom Mihaljevic and Cleveland Clinic

By: Linda A. Hill and Lydia Begag

In December 2022, Dr. Tomislav (“Tom”) Mihaljevic, CEO and President of Cleveland Clinic, was reflecting on the last few years at the hospital, marked both by unprecedented challenges and remarkable achievements. Cleveland Clinic had recently been ranked the world’s... View Details

02 Aug 2022
Research & Ideas

6 Strategies for Building Socially Responsible—and Profitable—Companies

A dozen years ago, Harvard Business School Professor George Serafeim wondered why some companies operated with an eye toward the greater good, while most did not. Back then, he always got the same response: Corporate leaders thought social and environmental practices... View Details

Keywords: by Lane Lambert

February 2020 (Revised April 2021)
Case

StockX: The Stock Market of Things

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley

Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details

13 Nov 2019
Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions,... View Details

Keywords: by Kristen Senz

26 Jun 2018
First Look

New Research and Ideas, June 26, 2018

but this article shows it has never been true historically. Using longitudinal data on individual firms from the nineteenth century onwards, it reveals evidence of how entrepreneurs and firms with multinational activity faced by market... View Details

Keywords: Dina Gerdeman

January 2022 (Revised February 2022)
Case

Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?

By: Jonas Heese, Charles C.Y. Wang and James Weber

In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say... View Details

Keywords: Jobs and Positions; Compensation and Benefits; Performance; Performance Productivity; Measurement and Metrics; Analytics and Data Science; Value; Business or Company Management; Performance Evaluation; Business and Shareholder Relations

2008
Working Paper

Concentration Levels in the U.S. Advertising and Marketing Services Industry: Myth vs. Reality

By: Alvin J. Silk and Charles King III

This paper analyzes changes in concentration levels in the U.S. Advertising and Marketing Services (A&MS) industry using publicly released data that have been largely ignored in past discussions of the industrial organization of this industry, namely those available... View Details

Keywords: Advertising; Mergers and Acquisitions; Revenue; Analytics and Data Science; Surveys; Marketing; Measurement and Metrics; Rank and Position; Competition; Advertising Industry; Service Industry; United States