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All HBS Web
(5,111)
- Faculty Publications (1,025)
- 2023
- Working Paper
'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins
By: Stephanie C. Lin, Julian J. Zlatev and Dale T. Miller
We identify and document an “overdetermined outcome defense” which occurs when one learns
that circumstances besides one’s own actions were sufficient to produce a negative effect (e.g.,
deciding not to go to the gym, but later discovering that the gym had been...
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Lin, Stephanie C., Julian J. Zlatev, and Dale T. Miller. "'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins." Harvard Business School Working Paper, No. 23-045, January 2023.
- 2023
- Working Paper
The Evolving Academic Field of Climate Finance
By: Matteo Gasparini and Peter Tufano
The urgency and the magnitude of climate change will affect every aspect of our economies, societies, and planet. The academic finance research has begun to study the financial implications of global warming, although this body of literature is small. The field has...
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Keywords:
Climate Finance;
Finance Academia;
Greenhouse Gas;
Sustainable Finance;
Financial Decisions;
Educational Finance;
Finance;
Climate Change;
Transition
Gasparini, Matteo, and Peter Tufano. "The Evolving Academic Field of Climate Finance." Harvard Business School Working Paper, No. 23-057, January 2023.
- 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).
- December 2022 (Revised February 2023)
- Background Note
Brief Note on Staggered Boards
By: Lynn S. Paine and Will Hurwitz
This background note discusses the evolution, use, and prevalence of staggered boards. By comparison with unitary boards whose members are all elected annually for one-year terms, staggered boards are divided into subsets of directors, with one subset up for election...
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Keywords:
Corporate Governance;
Governing and Advisory Boards;
Business History;
Trends;
Decision Choices and Conditions;
United States
Paine, Lynn S., and Will Hurwitz. "Brief Note on Staggered Boards." Harvard Business School Background Note 323-040, December 2022. (Revised February 2023.)
- 2022
- Chapter
Corporate Misconduct’s Relevance to Society through Everyday Misconduct
By: Eugene Soltes
Terms like "corporate misconduct" and "white-collar crime" typically bring to mind major scandals like Enron or Bernie Madoff. This popular perception overlooks another important—and in fact much more typical—type of deviance: "everyday misconduct." Everyday misconduct...
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Soltes, Eugene. "Corporate Misconduct’s Relevance to Society through Everyday Misconduct." Chap. 2 in A Research Agenda for Financial Crime, edited by Barry Rider, 31–48. Edward Elgar Publishing, 2022.
- December 2022
- Article
I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure
By: Byungyeon Kim, Oded Koenigsberg and Elie Ofek
Innovations embody novel features or cutting-edge components aimed at delivering desired customer benefits.
Oftentimes, however, we observe the need to recall new products shortly after their introduction. Indeed, a firm
may rush an innovation to market in an attempt...
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Keywords:
Innovation Management;
Innovation And Strategy;
Product Development Strategy;
Product Introduction;
Quality Control;
Product Recalls;
Game Theory;
Market Timing;
Innovation Strategy;
Product Launch;
Product Development
Kim, Byungyeon, Oded Koenigsberg, and Elie Ofek. "I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure." Management Science 68, no. 12 (December 2022): 8889–8908.
- 2024
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information
which an algorithm does not have access to that can improve performance. How can we help humans effectively use
and adjust recommendations made by...
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Keywords:
Cognitive Biases;
Algorithm Transparency;
Forecasting and Prediction;
Behavior;
AI and Machine Learning;
Analytics and Data Science;
Cognition and Thinking
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, February 2024.
- December 2022
- Article
The Rise of People Analytics and the Future of Organizational Research
By: Jeff Polzer
Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,...
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Keywords:
Organizational Change and Adaptation;
Analytics and Data Science;
Technology Adoption;
Employees
Polzer, Jeff. "The Rise of People Analytics and the Future of Organizational Research." Art. 100181. Research in Organizational Behavior 42 (December 2022). (Supplement.)
- 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.
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This...
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Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- November 2022
- Technical Note
Leader Action Orientations
By: Ryan Raffaelli, Akshaya Varghese and Laura Weimer
Leaders are responsible for planning and executing actions that advance organizational goals. As individuals gain career experience, they tend to develop and rely on implicit mental models that shape how they go about “getting things done.” Without knowing it, most...
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Keywords:
Leadership Development;
Prejudice and Bias;
Cognition and Thinking;
Decision Making;
Behavior
Raffaelli, Ryan, Akshaya Varghese, and Laura Weimer. "Leader Action Orientations." Harvard Business School Technical Note 423-050, November 2022.
- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on...
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Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....
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Keywords:
Data-driven Decision-making;
Decisions;
Negotiation;
Bids and Bidding;
Valuation;
Consumer Behavior;
Real Estate Industry
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 1." Harvard Business School Exercise 923-016, October 2022.
- 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.
- September 2022
- Article
Find and Replace: R&D Investment Following the Erosion of Existing Products
By: Joshua L. Krieger, Xuelin Li and Richard T. Thakor
How do innovative firms react when existing products experience negative shocks? We explore this question with detailed project-level data from drug development firms. Using FDA Public Health Advisories as idiosyncratic negative shocks to approved drugs, we first...
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Keywords:
R&D Investments;
Drug Development;
Product Shocks;
M&A;
Biopharmaceutical Industry;
FDA;
System Shocks;
Research and Development;
Investment;
Decision Making;
Pharmaceutical Industry
Krieger, Joshua L., Xuelin Li, and Richard T. Thakor. "Find and Replace: R&D Investment Following the Erosion of Existing Products." Management Science 68, no. 9 (September 2022): 6552–6571.
- August 29, 2022
- Other Article
Income Inequality Is Rising. Are We Even Measuring It Correctly?
By: Jon M. Jachimowicz, K. Blesch and Oliver P. Hauser
Income inequality is on the rise in many countries around the world, according to the United Nations. What’s more, disparities in global income were exacerbated by the COVID-19 pandemic, with some countries facing greater economic losses than others.
Policymakers...
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Keywords:
Income Inequality;
Gini Coefficient;
COVID-19 Pandemic;
Government Administration;
Equality and Inequality;
Health Pandemics;
Measurement and Metrics
Jachimowicz, Jon M., K. Blesch, and Oliver P. Hauser. "Income Inequality Is Rising. Are We Even Measuring It Correctly?" Harvard Business School Working Knowledge (August 29, 2022).
- August 2022
- Exercise
Joy4Home Brands: Pricing Matters
By: Elie Ofek, Oded Koenigsberg and Marco Bertini
Joy4Home Brands, the maker of novel houseware items, was gearing up for its launch. The company would be introducing two lines: kitchenware products and storage containers. The initial go-to-market plan called for a direct to consumer (DTC) channel strategy. While...
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Keywords:
DTC;
Pricing Decisions;
B2B;
Product Marketing;
Product Launch;
Marketing Strategy;
Business Model;
Opportunities;
Consumer Products Industry
Ofek, Elie, Oded Koenigsberg, and Marco Bertini. "Joy4Home Brands: Pricing Matters." Harvard Business School Exercise 523-709, August 2022.
- August 30, 2022
- Article
School Choice Increases Racial Segregation Even When Parents Do Not Care About Race
By: Kalinda Ukanwa, Aziza C. Jones and Broderick L. Turner Jr.
This research examines how school choice impacts school segregation. Specifically, this work demonstrates that even if parents do not take the racial demographics of schools into account, preference differences between Black and White parents for other school...
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Keywords:
Decision Choices and Conditions;
Race;
Policy;
Early Childhood Education;
Middle School Education;
Secondary Education
Ukanwa, Kalinda, Aziza C. Jones, and Broderick L. Turner Jr. "School Choice Increases Racial Segregation Even When Parents Do Not Care About Race." Proceedings of the National Academy of Sciences 119, no. 35 (August 30, 2022).
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 2022
- Book
Purpose + Profit: How Business Can Lift Up the World
By: George Serafeim
The roadmap and best practices to reap the enormous value that can emerge when your business prioritizes social and environmental goals—such as climate change, diversity and inclusion, and sustainability—right alongside the pursuit of profit.
We not only... View Details
We not only... View Details
Keywords:
ESG (Environmental, Social, Governance) Performance;
Profitability;
Business And Society;
Organizations;
Mission and Purpose;
Goals and Objectives;
Social Issues;
Environmental Sustainability;
Value Creation;
Organizational Change and Adaptation
Serafeim, George. Purpose + Profit: How Business Can Lift Up the World. New York: HarperCollins Leadership, 2022.