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- May 2024
- Supplement
DRSi (A)
By: Richard S. Ruback and Royce Yudkoff
Pre-Abstract: Instructors should consider the timing of making videos available to students, as they may reveal key case details.
Abstract: In March of 2019, Jen Ransom Fuller purchased DRSi. DRSi, located in Bellevue, Washington, printed and reproduced...
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Keywords:
Acquisition;
Small Business;
Cost vs Benefits;
Decisions;
Business Education;
Corporate Entrepreneurship;
Leadership Style;
Leading Change;
Business or Company Management;
Problems and Challenges;
Health Pandemics;
Selection and Staffing;
Employee Relationship Management;
Production;
Logistics;
United States;
Washington (state, US)
Ruback, Richard S., and Royce Yudkoff. " DRSi (A)." Harvard Business School Multimedia/Video Supplement 224-717, May 2024.
- May 2024
- Supplement
DRSi (B)
By: Richard S. Ruback and Royce Yudkoff
Pre-Abstract: Instructors should consider the timing of making videos available to students, as they may reveal key case details.
Abstract: In March of 2019, Jen Ransom Fuller purchased DRSi. DRSi, located in Bellevue, Washington, printed and reproduced...
View Details
Keywords:
Acquisition;
Small Business;
Cost vs Benefits;
Decisions;
Business Education;
Corporate Entrepreneurship;
Leadership Style;
Leading Change;
Business or Company Management;
Problems and Challenges;
Health Pandemics;
Selection and Staffing;
Employee Relationship Management;
Production;
Logistics;
Washington (state, US);
United States
Ruback, Richard S., and Royce Yudkoff. " DRSi (B)." Harvard Business School Multimedia/Video Supplement 224-718, May 2024.
- 2024
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
Most studies of gender discrimination consider how male versus female candidates are assessed given otherwise identical information about them. But, in many settings of interest, evaluators have a choice about how much information to acquire about a candidate before...
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- February 2024 (Revised March 2024)
- Teaching Note
X: The Foghorn Decision
By: Kyle Myers and Walter Frick
Teaching Note for HBS Case No. 618-060.
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Keywords:
Alternative Energy;
Energy Generation;
Energy Sources;
Climate Change;
Green Technology;
Selection and Staffing;
Knowledge;
Product Design;
Product Development;
Research and Development;
Risk and Uncertainty;
Science-Based Business;
Innovation and Invention;
Auto Industry;
Biotechnology Industry;
Chemical Industry;
Computer Industry;
Electronics Industry;
Green Technology Industry;
Technology Industry
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial...
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Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
- 2024
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make...
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Keywords:
AI and Machine Learning;
Performance Improvement;
Small Business;
Decision Choices and Conditions;
Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- September 13, 2023
- Article
The Myth of the CEO as Ultimate Decision Maker
By: Nitin Nohria
Chief executives are responsible for guiding corporations, so the role inevitably requires making many decisions. But people overestimate the level of personal involvement CEOs have in this process. Instead of making decisions, CEOs tend to shape decisions, by...
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Keywords:
Problem Solving;
Delegation;
Leadership Style;
Decision Making;
Time Management;
Power and Influence
Nohria, Nitin. "The Myth of the CEO as Ultimate Decision Maker." Harvard Business Review (website) (September 13, 2023).
- 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.)
- May–June 2023
- Article
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail
By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to...
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Keywords:
Online Retail;
Quasi-experiments;
Abandonment;
Synthetic Control;
E-commerce;
Internet and the Web;
Consumer Behavior;
Policy;
Retail Industry
Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail." Operations Research 71, no. 3 (May–June 2023): 876–894.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more...
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Keywords:
COVID-19 Pandemic;
Epidemics;
Analytics and Data Science;
Health Pandemics;
AI and Machine Learning;
Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- 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 (Revised February 2024)
- 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;
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 Building;
Business and Government Relations;
Decision Choices and Conditions;
Financing and Loans;
Real Estate Industry;
Construction Industry;
Energy Industry;
Green Technology Industry;
Abu Dhabi
Vallee, Boris, and Fares Khrais. "Masdar City: Aiming for Sustainable and Profitable Real Estate." Harvard Business School Case 223-036, October 2022. (Revised February 2024.)
- 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.
- 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.