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- All HBS Web
(3,258)
- Faculty Publications (809)
- 2021
- Working Paper
Diversity and Performance in Entrepreneurial Teams
By: Sophie Calder-Wang, Paul A. Gompers and Kevin Huang
We study the role of diversity and performance in the entrepreneurial teams. We exploit a unique dataset of MBA students who participated in a required course to propose and start a real micro-business that allows us to examine horizontal diversity (i.e., within the... View Details
Calder-Wang, Sophie, Paul A. Gompers, and Kevin Huang. "Diversity and Performance in Entrepreneurial Teams." NBER Working Paper Series, No. 28684, April 2021.
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
Rahmattalabi, Aida, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. "Fair Influence Maximization: A Welfare Optimization Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35th (2021).
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- 2021
- Working Paper
Population Interference in Panel Experiments
By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- March 2021
- Article
Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies
By: Willy C. Shih
Many new technologies are complex and embody high levels of technical sophistication, and applying them should require significant knowledge and experience. Yet, the rapid adoption and incorporation of these technologies into other innovations seems inconsistent with... View Details
Keywords: Abstraction; Technological And Scientific Innovation; Technological Progress; Diffusion Of Innovation; Technology Adoption; Technological Innovation; Complexity; Information Technology; Strategy
Shih, Willy C. "Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies." Strategy Science 6, no. 1 (March 2021): 54–61. (ISSN 2333-2050 (print), ISSN 2333-2077 (online))
- March 2021
- Article
The Crowd Emotion Amplification Effect
By: Amit Goldenberg, Erika Weisz, Timothy D. Sweeney, Mina Cikara and James Gross
How do people go about reading a room or taking the temperature of a crowd? When people catch a brief glimpse of an array of faces, they can only focus their attention on some of the faces. We propose that perceivers preferentially attend to faces exhibiting strong... View Details
Goldenberg, Amit, Erika Weisz, Timothy D. Sweeney, Mina Cikara, and James Gross. "The Crowd Emotion Amplification Effect." Psychological Science 32, no. 3 (March 2021): 437–450.
- Article
Reimagining the Balanced Scorecard for the ESG Era
By: Robert S. Kaplan and David McMillan
Companies are increasingly aware that their customers and society in general expect businesses to adopt and work towards social and environmental objectives as well as the traditional financial ones. This involves not only re-evaluating firms’ models but re-imagining... View Details
Keywords: ESG (Environmental, Social, Governance) Performance; Business Ecosystems; Balanced Scorecard; Adaptation; Business Model; Business and Stakeholder Relations
Kaplan, Robert S., and David McMillan. "Reimagining the Balanced Scorecard for the ESG Era." Harvard Business Review Digital Articles (February 3, 2021).
- January 2021
- Supplement
Aster DM Healthcare: Budget Exercise
By: V.G. Narayanan and Amy Klopfenstein
In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Finance; Borrowing and Debt; Financial Institutions; Banks and Banking; Financial Condition; Financial Liquidity; Accounting; Budgets and Budgeting; Management; Crisis Management; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
- January 2021
- Case
Aster DM Healthcare: Budgeting for a Crisis
By: V.G. Narayanan and Amy Klopfenstein
In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Budgets and Budgeting; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
Narayanan, V.G., and Amy Klopfenstein. "Aster DM Healthcare: Budgeting for a Crisis." Harvard Business School Case 121-001, January 2021.
- January 2021 (Revised March 2021)
- Case
Juno (A): Leveraging Student Power
By: Joshua Schwartzstein, Kathleen L. McGinn and Amy Klopfenstein
In March 2020, Chris Abkarians and Nikhil Agarwal were in the midst of preparing the annual auction for their student loan assistance startup, Juno. Both current MBA students at Harvard Business School, the duo founded Juno in 2018 to leverage student bargaining power... View Details
Keywords: Decision Making; Decision Choices and Conditions; Decisions; Cost vs Benefits; Education; Higher Education; Finance; Borrowing and Debt; Strategy; Adaptation; Alignment; Negotiation; Agreements and Arrangements; Negotiation Participants; Negotiation Process; Negotiation Tactics; Negotiation Deal; Negotiation Offer; Negotiation Types; Financial Services Industry; Education Industry; North and Central America; United States; Massachusetts; Boston
Schwartzstein, Joshua, Kathleen L. McGinn, and Amy Klopfenstein. "Juno (A): Leveraging Student Power." Harvard Business School Case 921-032, January 2021. (Revised March 2021.)
- 2021
- Working Paper
Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences
By: Valerio Capraro, Jillian J. Jordan and Ben Tappin
A growing body of work suggests that people are sensitive to moral framing in economic games involving prosociality, suggesting that people hold moral preferences for doing the “right thing”. What gives rise to these preferences? Here, we evaluate the explanatory power... View Details
Keywords: Moral Preferences; Moral Frames; Observability; Trustworthiness; Trust Game; Trade-off Game; Moral Sensibility; Reputation; Behavior; Trust
Capraro, Valerio, Jillian J. Jordan, and Ben Tappin. "Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences." Working Paper, January 2021.
- January 2021 (Revised March 2022)
- Teaching Note
The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A) and (B)
This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
- January 11, 2021
- Article
The Breach of the U.S. Capitol Was a Breach of Trust
By: Sandra J. Sucher and Shalene Gupta
This article frames the January 6th attack of the U.S. Capitol as a betrayal of our trust in government. Using Sucher and Gupta’s trust framework, the article explains how the attacks were a failure of the four elements of trust: competence, motives, fair means, and... View Details
Sucher, Sandra J., and Shalene Gupta. "The Breach of the U.S. Capitol Was a Breach of Trust." Harvard Business Review Digital Articles (January 11, 2021).
- January 2021
- Article
A Model of Relative Thinking
By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details
Bushong, Benjamin, Matthew Rabin, and Joshua Schwartzstein. "A Model of Relative Thinking." Review of Economic Studies 88, no. 1 (January 2021): 162–191.
- January–February 2021
- Article
Between Home and Work: Commuting as an Opportunity for Role Transitions
By: Jon M. Jachimowicz, Julia Lee Cunningham, Bradley Staats, Francesca Gino and Jochen I. Menges
Across the globe, every workday people commute an average of 38 minutes each way, yet surprisingly little research has examined the implications of this daily routine for work-related outcomes. Integrating theories of boundary work, self-control, and work-family... View Details
Jachimowicz, Jon M., Julia Lee Cunningham, Bradley Staats, Francesca Gino, and Jochen I. Menges. "Between Home and Work: Commuting as an Opportunity for Role Transitions." Organization Science 32, no. 1 (January–February 2021): 64–85.
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- Article
Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development
By: Michael Beer
A normative and actionable theory of planned organizational change and development is proposed based on fifty years of engagement by the author as a scholar-consultant. Five principles are central features of the theory and practice proposed: 1) Organizations are... View Details
Keywords: Consultant; Process; Systems; Silence; Organizational Change and Adaptation; Leadership; Learning; Management Teams
Beer, Michael. "Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development." Journal of Change Management 21, no. 1 (2021).
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).