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- All HBS Web
(117,152)
- Faculty Publications (3,210)
- June 2023
- Case
Ishani Therapeutics: Valuing a Deal
By: Amitabh Chandra and Sumon Mazumdar
Chandra, Amitabh, and Sumon Mazumdar. "Ishani Therapeutics: Valuing a Deal." Harvard Business School Case 623-090, June 2023.
- June 2023
- Supplement
Ishani Therapeutics: Valuing a Deal (Instructor Spreadsheet Supplement)
By: Amitabh Chandra and Sumon Mazumdar
- June 2023
- Supplement
Ishani Therapeutics: Valuing a Deal (Student Spreadsheet Supplement)
By: Amitabh Chandra and Sumon Mazumdar
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 2023
- Article
Patriotic Capitalism, Geopolitics and the Boardroom: Should Directors Consider Devotion to Country When Making Decisions That Affect Their Companies?
Keywords: Corporate Social Responsibility and Impact; Decision Choices and Conditions; Business and Stakeholder Relations; Business and Government Relations; International Relations
Montelongo, Michael. "Patriotic Capitalism, Geopolitics and the Boardroom: Should Directors Consider Devotion to Country When Making Decisions That Affect Their Companies?" Special Issue on Annual Report. Directors & Boards 47, no. 4 (2023): 26–29.
- June 2023
- Exercise
Successful Governance for the Family Enterprise
This exercise examines three different family enterprise scenarios to open a conversation on what makes them successful. We look at how there is no strategy that fits all for family businesses, but there are strategies that can influence both the business and the... View Details
Wing, Christina R. "Successful Governance for the Family Enterprise." Harvard Business School Exercise 623-083, June 2023.
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- 2023
- Working Paper
Location-Specificity and Geographic Competition for Remote Workers
By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
The precipitous growth of remote work has given rise to a new phenomenon: geographic competition between localities for the physical presence of remote workers. Remote workers with high general human capital may create value for their new destinations and reverse net... View Details
Keywords: Remote Work; Human Capital; Geographic Location; Civil Society or Community; Motivation and Incentives
Teodorovicz, Thomaz, Prithwiraj Choudhury, and Evan Starr. "Location-Specificity and Geographic Competition for Remote Workers." Harvard Business School Working Paper, No. 23-071, May 2023.
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 2023
- Working Paper
Teams in the Digital Workplace: Technology's Role for Communication, Collaboration, and Performance
By: Jacqueline N. Lane, Paul Leonardi, Noshir Contractor and Leslie DeChurch
This paper addresses the need for theoretical advancements in understanding team processes and the impact of technology on teams. Specifically, it examines the use of digital collaboration technologies by organizational teams and their effect on team communication and... View Details
Keywords: Affordances; Groups and Teams; Communication Technology; Social Media; Organizational Change and Adaptation; Perception
Lane, Jacqueline N., Paul Leonardi, Noshir Contractor, and Leslie DeChurch. "Teams in the Digital Workplace: Technology's Role for Communication, Collaboration, and Performance." Harvard Business School Working Paper, No. 23-079, June 2023. (Accepted by Small Group Research. Revised July 2023.)
- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision... View Details
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
- May 2023
- Case
CMA CGM: Reducing the Carbon Footprint of Container Shipping
By: Willy C. Shih and Emilie Billaud
Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions, and the deep-sea segment, which... View Details
Keywords: Container Shipping; Logistic Regression; Trade Links; Decarbonization; Environmental Strategies; Environmental Impact; Globalization; Trade; Environmental Regulation; Logistics; Supply Chain; Governance Compliance; Shipping Industry; European Union; Asia; North America
Shih, Willy C., and Emilie Billaud. "CMA CGM: Reducing the Carbon Footprint of Container Shipping." Harvard Business School Case 623-006, May 2023.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- May 2023 (Revised November 2023)
- Case
Arcos Dorados: Decarbonizing McDonald’s in Latin America
By: George Serafeim, Michael W. Toffel, Jenyfeer Martinez Buitrago and Mariana Cal
This case describes the decarbonization strategy of Arcos Dorados—McDonald’s largest independent franchisee, operating in 20 countries and territories in Latin America and the Caribbean—and how the company measured its greenhouse gas (GHG) emissions, including those... View Details
Keywords: Environmental Accounting; Animal-Based Agribusiness; Plant-Based Agribusiness; Change Management; Forecasting and Prediction; Environmental Sustainability; Food; Growth Management; Supply Chain; Corporate Social Responsibility and Impact; Strategy; Agriculture and Agribusiness Industry; Food and Beverage Industry; Green Technology Industry; Consumer Products Industry; Latin America; North and Central America; South America
Serafeim, George, Michael W. Toffel, Jenyfeer Martinez Buitrago, and Mariana Cal. "Arcos Dorados: Decarbonizing McDonald’s in Latin America." Harvard Business School Case 623-017, May 2023. (Revised November 2023.)
- May 2023
- Supplement
Sian Flowers: Fresher by Sea - Video Supplement
By: Willy C. Shih
The setting for this case is the Sian Flowers, a company headquartered in Kitengela, Kenya that exports roses to predominantly Europe. Because cut flowers have a limited shelf life and consumers want them to retain their appearance for as long as possible, Sian or its... View Details
Keywords: Supply Chain; Supply Chains; Sustainability; Sustainable Agriculture; Sustainability Reporting; Carbon Emissions; Supply Chain Management; Quality; Ship Transportation; Cost Management; Agriculture and Agribusiness Industry; Africa; Kenya; Netherlands; Europe
Shih, Willy C. "Sian Flowers: Fresher by Sea - Video Supplement." Harvard Business School Multimedia/Video Supplement 623-713, May 2023.
- May 9, 2023
- Editorial
Meet the Parents—Family Business Style
By: Christina R. Wing and Laurie Tack
Wing, Christina R., and Laurie Tack. "Meet the Parents—Family Business Style." Family Capital (May 9, 2023).
- 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... View Details
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 2, 2023
- Editorial
Onboarding NextGens
By: Christina R. Wing and Rohit K. Gera
The process of onboarding the next generation into a family business can be both fulfilling and challenging. In many cases, the NextGen feel that they have been a part of the family business for their entire lives, and taking their place within the company feels... View Details
Wing, Christina R., and Rohit K. Gera. "Onboarding NextGens." Family Business Magazine (May 2, 2023).
- 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... View Details
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.