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- May 2023
- Teaching Note
Away: Scaling a DTC Travel Brand
By: Joseph B. Fuller and Jill Avery
Teaching Note for HBS Case No. 520-051. Away, a direct-to-consumer, digital native e-commerce seller of travel luggage, is debating how to invest its latest round of venture funding. How quickly could and should Away scale and what were the most promising growth...
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- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure...
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Keywords:
STEM;
Selection and Staffing;
Gender;
Prejudice and Bias;
Training;
Equality and Inequality;
Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- 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...
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Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
- December 8, 2022
- Article
What Companies Still Get Wrong about Layoffs
By: Sandra J. Sucher and Marilyn Morgan Westner
Research has long shown that layoffs have a detrimental effect on individuals and on corporate performance. The short-term cost savings provided by a layoff are often overshadowed by bad publicity, loss of knowledge, weakened engagement, higher voluntary turnover, and...
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Sucher, Sandra J., and Marilyn Morgan Westner. "What Companies Still Get Wrong about Layoffs." Harvard Business Review (website) (December 8, 2022).
- 2022
- Working Paper
Stories, Statistics and Memory
By: Thomas Graeber, Christopher Roth and Florian Zimmermann
For most decisions, we rely on information encountered over the course of days,
months or years. We consume this information in various forms, including abstract
summaries of multiple data points – statistics – and contextualized anecdotes about
individual instances...
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Graeber, Thomas, Christopher Roth, and Florian Zimmermann. "Stories, Statistics and Memory." Working Paper, December 2022.
- December 2022
- Article
When and How Should Firms Differentiate? Quality and Advertising Decisions in a Duopoly
By: Dominique Olié Lauga, Elie Ofek and Zsolt Katona
A prominent hallmark of competitive interaction is the desire to differentiate from rivals. In this article, the authors examine under what conditions firms will differentiate through product quality versus advertising intensity. Firms select quality in a first stage,...
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Lauga, Dominique Olié, Elie Ofek, and Zsolt Katona. "When and How Should Firms Differentiate? Quality and Advertising Decisions in a Duopoly." Journal of Marketing Research (JMR) 59, no. 2 (December 2022): 1252–1265.
- November 2022
- Case
Hiring with the Community in Saint Paul
By: Mitchell B. Weiss and Sarah Mehta
This case reviews Saint Paul Mayor Melvin Carter’s decision to involve the community in the process of hiring his cabinet members. Rather than relying on an executive recruiting firm or choosing cabinet heads from his own network, Carter recruited 100 community members...
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Keywords:
Community Engagement;
Competency and Skills;
Government and Politics;
Human Resources;
Government Administration;
Recruitment;
Selection and Staffing;
Decision Making;
Public Administration Industry;
United States;
Minnesota;
Saint Paul
Weiss, Mitchell B., and Sarah Mehta. "Hiring with the Community in Saint Paul." Harvard Business School Case 823-074, November 2022.
- October 2022 (Revised May 2023)
- Case
To SFO or Not To SFO: The Tolman Family Selects a Family Office Strategy
By: Lauren Cohen, Hao Gao, Victoria Alvarez-Arango, Grace Headinger, Mili Sanwalka and Anna Yuan
Peter Tolman, a first-generation investment professional, debated which family office strategy to adopt for managing his family’s assets. As the sole steward of his family’s wealth, he sought to conserve and grow his family’s wealth for him, his wife, and his two very...
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- October 2022
- Case
Masdar City: Aiming for Sustainable and Profitable Real Estate
By: Boris Vallee and Fares Khrais
Masdar City broke ground in 2008 and was conceived by the Abu Dhabi government to be an international beacon of innovation in sustainable energy and real estate. It was also to be a profitable investment for the government. At first glance, the two goals pulled in...
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Keywords:
Analysis;
Green Building;
Business Growth And Maturation;
Decisions;
Public Sector;
Financial Crisis;
Construction;
Climate Change;
Green Technology;
Borrowing And Debt;
Corporate Finance;
Capital;
Capital Budgeting;
Capital Structure;
Cost Of Capital;
Equity;
REIT;
Financial Management;
Financial Strategy;
Initial Public Offering;
Innovation;
Growth And Development Strategy;
Emerging Markets;
Urban Development;
Middle East;
United Arab Emirates;
Sustainable Cities;
Green Buildings;
Business and Government Relations;
Decision Choices and Conditions;
Financing and Loans;
Real Estate Industry;
Construction Industry;
Energy Industry;
Green Technology Industry;
Abu Dhabi
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...
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Keywords:
Machine Learning;
Econometric Analysis;
Instrumental Variable;
Random Forest;
Causal Inference;
AI and Machine Learning;
Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 2022
- Working Paper
What Do Impact Investors Do Differently?
In recent years, impact investors – private investors who seek to generate simultaneously attractive financial and social returns – have attracted intense interest and controversy. We analyze a novel, comprehensive data set of impact and traditional investors to assess...
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Keywords:
ESG;
Socially Responsible Investing;
Investment Decisions;
Public Goods;
Impact Investment;
Investment;
Private Equity;
Venture Capital
Cole, Shawn A., Leslie Jeng, Josh Lerner, Natalia Rigol, and Benjamin N. Roth. "What Do Impact Investors Do Differently?" Working Paper, September 2022.
- 2022
- Working Paper
Imagining the Future: Memory, Simulation and Beliefs about COVID
By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
How do people form beliefs about novel risks, with which they have little or no experience? A 2020 U.S. survey of beliefs about the lethality of COVID reveals that the elderly underestimate, and the young overestimate, their own risks, and that people with more health...
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Keywords:
Expectations;
Memory;
COVID-19 Pandemic;
Perception;
Behavior;
Decision Choices and Conditions;
Values and Beliefs
Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs about COVID." NBER Working Paper Series, No. 30353, August 2022.
- June 2022
- Teaching Plan
GreenLight Fund
By: Brian Trelstad and Mel Martin
Teaching Note for HBS Case No. 320-053. As Tara Noland, the Executive Director (ED) of GreenLight Cincinnati, reflected on her first few years on the job. Noland had delivered on what she had been hired to do in the city: work with leading philanthropists and nonprofit...
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- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information...
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Keywords:
Project Evaluation;
Innovation;
Knowledge Frontier;
Information Sharing;
Negativity Bias;
Projects;
Innovation and Invention;
Information;
Knowledge Sharing
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
- 2022
- Article
How to Choose a Default
By: John Beshears, Richard T. Mason and Shlomo Benartzi
We have developed a model for setting a default when a population is choosing among ordered choices—that is, ones listed in ascending or descending order. A company, for instance, might want to set a default contribution rate that will increase employees’ average...
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Keywords:
Nudge;
Choice Architecture;
Behavioral Economics;
Behavioral Science;
Default;
Savings;
Decision Choices and Conditions;
Behavior;
Motivation and Incentives
Beshears, John, Richard T. Mason, and Shlomo Benartzi. "How to Choose a Default." Behavioral Science & Policy 8, no. 1 (2022): 1–15.
- 2022
- Working Paper
Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina
By: Sebastian Calonico, Rafael Di Tella and Juan Cruz Lopez Del Valle
Many medical decisions during the pandemic were made without the support of causal evidence obtained in clinical trials. We study the case of nebulized ibuprofen (NaIHS), a drug that was extensively used on COVID-19 patients in Argentina amidst wild claims about its...
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Keywords:
COVID-19;
Drug Treatment;
Health Pandemics;
Health Care and Treatment;
Decision Making;
Outcome or Result;
Argentina
Calonico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina." NBER Working Paper Series, No. 30084, May 2022.
- 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...
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Keywords:
Compensation;
Collaboration;
Executive Search Firms;
Consulting Firms;
Compensation and Benefits;
Restructuring;
Human Resources;
Human Capital;
Management Practices and Processes;
Organizational Culture;
Organizational Change and Adaptation;
Social and Collaborative Networks;
Recruitment;
Selection and Staffing;
Talent and Talent Management;
Consulting Industry;
Employment Industry;
Asia;
Europe;
Latin America;
Middle East;
North and Central America;
South America;
Oceania
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (A)." Harvard Business School Case 422-045, March 2022. (Revised May 2022.)
- March 2022
- Supplement
Winning Business at Russell Reynolds (B)
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...
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Keywords:
Compensation;
Collaboration;
Executive Search Firms;
Consulting Firms;
Compensation and Benefits;
Restructuring;
Human Resources;
Human Capital;
Management Practices and Processes;
Organizational Culture;
Organizational Change and Adaptation;
Social and Collaborative Networks;
Recruitment;
Selection and Staffing;
Talent and Talent Management;
Consulting Industry;
Employment Industry;
Asia;
Europe;
Latin America;
Middle East;
North and Central America;
South America;
Oceania
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (B)." Harvard Business School Supplement 422-046, March 2022.
- December 2021
- Case
Burning Glass Technologies: From Data to Product
By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial...
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Keywords:
Information Technology;
Applications and Software;
Digital Platforms;
Internet and the Web;
Strategy;
Expansion;
Business Strategy;
Labor;
Employment;
Human Capital;
Jobs and Positions;
Job Design and Levels;
Job Search;
Human Resources;
Selection and Staffing;
Recruitment;
Employees;
Retention;
Competency and Skills;
Experience and Expertise;
Talent and Talent Management;
Analytics and Data Science;
Business Model;
Technology Industry;
North and Central America;
United States
Srinivasan, Suraj, and Amy Klopfenstein. "Burning Glass Technologies: From Data to Product." Harvard Business School Case 122-015, December 2021.
- November 2021
- Article
Strict ID Laws Don't Stop Voters: Evidence from a U.S. Nationwide Panel, 2008–2018
By: Enrico Cantoni and Vincent Pons
U.S. states increasingly require identification to vote—an ostensive attempt to deter fraud that prompts complaints of selective disenfranchisement. Using a difference-in-differences design on a 1.6-billion-observations panel dataset, 2008–2018, we find that the laws...
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Keywords:
Voter ID Laws;
Voter Turnout;
Voting;
Political Elections;
Governing Rules, Regulations, and Reforms;
United States
Cantoni, Enrico, and Vincent Pons. "Strict ID Laws Don't Stop Voters: Evidence from a U.S. Nationwide Panel, 2008–2018." Quarterly Journal of Economics 136, no. 4 (November 2021): 2615–2660.