Publications

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July 2023
Article

Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet

In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details

Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science

March 2015 (Revised August 2020)
Case

Putting the Guiding Principles into Action: Human Rights at Barrick Gold (A)

By: Rebecca Henderson and Nien-he Hsieh

In 2010, Human Rights Watch, a well-regarded international NGO, approached Barrick Gold asserting that members of the company’s security force at the Porgera Gold Mine in Papua New Guinea had on multiple occasions raped women who were trespassing onto the mine’s waste... View Details

Keywords: Human Rights; Business And Society; Rights; Policy; Leading Change; Corporate Social Responsibility and Impact; Business and Government Relations

September 2019 (Revised May 2021)
Case

pymetrics: International Expansion

By: John R. Wells and Benjamin Weinstock

In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details

14 Feb 2022
Research & Ideas

Curiosity, Not Coding: 6 Skills Leaders Need in the Digital Age

up for coding or data analytics classes to acquire expertise but, more important, to show their teams that they too must become life-long technology learners. 4. Be courageous Leaders need to learn to experiment, iterate, and pivot... View Details

Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards; Technology

24 Oct 2008
Working Paper Summaries

Platform Rules: Multi-Sided Platforms as Regulators

Keywords: by Kevin J. Boudreau & Andrei Hagiu; Technology

2016
Working Paper

Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent

By: Pian Shu

Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details

Keywords: Higher Education; Engineering; Personal Development and Career; Science; Finance

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July 2019
Article

'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity

By: Kurt Gray, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett and Kevin Lewis

When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined... View Details

Keywords: Cognition and Thinking; Creativity; Forecasting and Prediction

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March 2022 (Revised May 2022)
Case

Winning Business at Russell Reynolds (A)

By: Ethan Bernstein and Cara Mazzucco

In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details

20 Nov 2012
First Look

First Look: November 20

be complemented with quantitative analyses. The development of quantitative methods for the study of business models, however, has trailed that of their qualitative peers. In this paper, we develop an analytical framework based on the... View Details

Keywords: Sean Silverthorne

Teaching Interest

Investing: Risk, Return and Impact (MBA)

By: Shawn A. Cole

This is an investing/finance course, designed to build on skills introduced in the RC finance course, but with an emphasis on how and whether investors should incorporate what have traditionally been considered “non-financial” criteria in their decisions: for... View Details

21 May 2013
First Look

First Look: May 21

Publications 2006 Harvard Business Review Press Keeping Up with the Quants: Your Guide to Understanding and Using Analytics By: Davenport, Thomas H., and Jinho Kim Abstract—Managers today need to be able to analyze and make sense of... View Details

Keywords: Sean Silverthorne

07 Feb 2022
Research & Ideas

Digital Transformation: A New Roadmap for Success

companies. While they agreed that leaders urgently needed to expand their knowledge, they didn’t see eye to eye on what digital literacy means. A few argued that leaders should understand data analytics and AI deeply, and even learn to... View Details

Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards

29 Sep 2014
Research & Ideas

Why Do Outlet Stores Exist?

that companies are capturing more data on customers than ever before—recording not only demographic information, but also details on every product purchase they make. "So much attention is being put on retail analytics that it's like... View Details

Keywords: by Michael Blanding; Apparel & Accessories; Fashion; Retail

February 2020
Technical Note

Talent Management and the Future of Work

By: William R. Kerr and Gorick Ng

The nature of work is changing—and it is changing rapidly. Few days go by without industry giants such as Amazon and AT&T announcing plans to invest billions of dollars towards retraining nearly half of their respective workforces for jobs of the future. What changes... View Details

Keywords: Human Resource Management; Human Capital Development; Human Resource Practices; Talent; Talent Acquisition; Talent Development; Talent Development And Retention; Talent Management; Talent Retention; Labor Flows; Labor Management; Labor Market; Strategy Development; Strategy Management; Strategy Execution; Strategy And Execution; Strategic Change; Transformations; Organization; Organization Alignment; Organization Design; Organizational Adaptation; Organizational Effectiveness; Management Challenges; Management Of Business And Political Risk; Change Leadership; Future Of Work; Future; Skills Gap; Skills Development; Skills; Offshoring And Outsourcing; Investment; Capital Allocation; Work; Work Culture; Work Force Management; Work/life Balance; Work/family Balance; Work-family Boundary Management; Workers; Worker Productivity; Worker Performance; Work Engagement; Work Environment; Work Environments; Productivity; Organization Culture; Soft Skills; Technology Management; Technological Change; Technological Change: Choices And Consequences; Technology Diffusion; Disruptive Technology; Global Business; Global; Workplace; Workplace Context; Workplace Culture; Workplace Wellness; Collaboration; Competencies; Productivity Gains; Digital; Digital Transition; Competitive Dynamics; Competitiveness; Competitive Strategy; Data Analytics; Data; Data Management; Data Strategy; Data Protection; Aging Society; Diversity; Diversity Management; Millennials; Communication Complexity; Communication Technologies; International Business; Work Sharing; Global Competitiveness; Global Corporate Cultures; Intellectual Property; Intellectual Property Management; Intellectual Property Protection; Intellectual Capital And Property Issues; Globalization Of Supply Chain; Inequality; Recruiting; Hiring; Hiring Of Employees; Training; Job Cuts And Outsourcing; Job Performance; Job Search; Job Design; Job Satisfaction; Jobs; Employee Engagement; Employee Attitude; Employee Benefits; Employee Compensation; Employee Fairness; Employee Relationship Management; Employee Retention; Employee Selection; Employee Motivation; Employee Feedback; Employee Coordination; Employee Performance Management; Employee Socialization; Process Improvement; Application Performance Management; Stigma; Institutional Change; Candidates; Digital Enterprise; Cultural Adaptation; Cultural Change; Cultural Diversity; Cultural Context; Cultural Strategies; Cultural Psychology; Cultural Reform; Performance; Performance Effectiveness; Performance Management; Performance Evaluation; Performance Appraisal; Performance Feedback; Performance Measurement; Performance Metrics; Performance Measures; Performance Efficiency; Efficiency; Performance Analysis; Performance Appraisals; Performance Improvement; Automation; Artificial Intelligence; Technology Companies; Managerial Processes; Skilled Migration; Assessment; Human Resources; Management; Human Capital; Talent and Talent Management; Retention; Demographics; Labor; Strategy; Change; Change Management; Transformation; Organizational Change and Adaptation; Organizational Culture; Working Conditions; Information Technology; Technology Adoption; Disruption; Economy; Competition; Globalization; AI and Machine Learning; Digital Transformation

19 Nov 2014
Working Paper Summaries

The Search for Benchmarks: When Do Crowds Provide Wisdom?

Keywords: by Charles M.C. Lee, Paul Ma & Charles C.Y. Wang

05 Dec 2022
Research & Ideas

5 Companies Where Employees Move Up the Ladder Fast

workers lack a college degree. Combining that data from Lightcast, a labor market analytics company, with approximately 20 million self-reported salary records on Glassdoor, the authors tracked how workers in these roles fared over five... View Details

Keywords: by Pamela Reynolds

01 Mar 2011
Working Paper Summaries

How Foundations Think: The Ford Foundation as a Dominating Institution in the Field of American Business Schools

Keywords: by Rakesh Khurana, Kenneth Kimura & Marion Fourcad; Education

09 Feb 2007
Working Paper Summaries

Do Corporate Social Responsibility Ratings Predict Corporate Social Performance?

Keywords: by Aaron K. Chatterji, David I. Levine & Michael W. Toffel

March 2023
Article

Learning to Successfully Hire in Online Labor Markets

By: Marios Kokkodis and Sam Ransbotham

Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details

Keywords: Selection and Staffing; Analysis; Decision Choices and Conditions

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