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(10,612)
- Faculty Publications (3,134)
- June 2023 (Revised February 2024)
- Case
Betting on Green Steel
By: George Serafeim and Sofoklis Melissovas
'Betting on Green Steel' traces the innovative journey embarked upon by a group of MBA students who have set out to conceive a novel steelmaker that pioneers the production of green steel. The ensemble is confronted with a series of critical choices that will shape the... View Details
Keywords: Decarbonization; Sustainability Management; Technology; Industrialization; Climate Risk; Energy; Entrepreneurship; Environmental Sustainability; Technology Adoption; Climate Change; Innovation and Invention; Business Strategy; Family Business; Steel Industry; Middle East; India
Serafeim, George, and Sofoklis Melissovas. "Betting on Green Steel." Harvard Business School Case 123-101, June 2023. (Revised February 2024.)
- June 2023
- Article
The Salary Taboo: Privacy Norms and the Diffusion of Information
By: Zoë Cullen and Ricardo Perez-Truglia
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details
Keywords: Search Costs; Privacy; Norms; Compensation; Financial Industry; Field Experiment; Knowledge Dissemination; Equality and Inequality; Gender; Compensation and Benefits; Societal Protocols
Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
- May 17, 2023
- Article
Don't Let Passion Lead to Burnout on Your Team
By: Joy Bredehorst, Kai Krautter, Jirs Meuris and Jon M. Jachimowicz
Passion is often heralded as the key to a fulfilling and successful career, but the authors’ recent research suggests that it can also come at a cost: Feeling passionate about work can lead to exhaustion and even burnout. Through studies with more than 700 employees... View Details
Bredehorst, Joy, Kai Krautter, Jirs Meuris, and Jon M. Jachimowicz. "Don't Let Passion Lead to Burnout on Your Team." Harvard Business Review (website) (May 17, 2023).
- May 2023 (Revised June 2023)
- Case
Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain
By: Shirley Lu and Robert S. Kaplan
The case describes Harvard University’s consideration to decarbonize its supply chain by replacing cement with a low-carbon substitute called Pozzotive®. Developed and produced by Urban Mining Industries, Pozzotive® is a ground-glass material made with post-consumer... View Details
Keywords: Carbon Emissions; Blockchain; Supply Chain; Green Technology; Climate Change; Environmental Sustainability
Lu, Shirley, and Robert S. Kaplan. "Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain." Harvard Business School Case 123-076, May 2023. (Revised June 2023.)
- 2023
- Working Paper
Culture as a Signal: Evidence from a Natural Field Experiment
By: Wei Cai, Dennis Campbell and Jiehang Yu
The importance of culture as an informal management control system is increasingly acknowledged in academia. While prior research mainly focuses on the value of culture on internal stakeholders (e.g., employees), we examine whether culture serves as a credible signal... View Details
Cai, Wei, Dennis Campbell, and Jiehang Yu. "Culture as a Signal: Evidence from a Natural Field Experiment." SSRN Working Paper Series, No. 4447603, May 2023.
- May 2023
- Article
Decarbonizing Health Care: Engaging Leaders in Change
By: Vivian S. Lee, Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio and Robert S. Kaplan
Health care leaders are often surprised to learn that their operations contribute
significantly to a warming climate. In addition to their roles as responders to and victims
of extreme weather events, health care organizations have an obligation to reduce... View Details
Keywords: Health Care; Decarbonization; Carbon Emissions; Net-zero Emissions; Climate Change; Health Care and Treatment; Health Industry
Lee, Vivian S., Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio, and Robert S. Kaplan. "Decarbonizing Health Care: Engaging Leaders in Change." NEJM Catalyst Innovations in Care Delivery 4, no. 5 (May 2023).
- May 2023
- Article
Incentive Effects of Subjective Allocations of Rewards and Penalties
By: Wei Cai, Susanna Gallani and Jee-Eun Shin
We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings... View Details
Keywords: Subjectivity; Tournament-based Incentives; Rewards; Penalties; Expectancy Theory; Employees; Compensation and Benefits; Management; Decisions; Performance; Measurement and Metrics
Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Effects of Subjective Allocations of Rewards and Penalties." Management Science 69, no. 5 (May 2023): 3121–3139.
- 2024
- Working Paper
Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
Communication channels are often used to improve customer satisfaction and behavior. This paper studies
how they can be used to enhance operational performance.
We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services." Working Paper, August 2024.
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- April 2023 (Revised January 2024)
- Background Note
Note on Healthcare in Ghana
By: Regina E. Herzlinger and Ben Creo
This note provides an overview of the healthcare system in Ghana. It discusses the public and private sector as well as traditional medical practice. It also discusses the country’s pharmaceutical industry. It is recommended as a companion to Professor Regina... View Details
Keywords: Africa; Pharmaceutical Companies; Pharmacy Benefit Manager; Health Care; Health Care Costs; Health Care Delivery; Health Care Entrepreneurship; Telehealth; Health Equity; Governing Rules, Regulations, and Reforms; Health Care and Treatment; Business and Government Relations; Health Industry; Pharmaceutical Industry; Ghana
Herzlinger, Regina E., and Ben Creo. "Note on Healthcare in Ghana." Harvard Business School Background Note 323-112, April 2023. (Revised January 2024.)
- April 21, 2023
- Article
When Scenario Planning Fails
By: Kalle Heikkinen, William R. Kerr, Mika Malin, Panu Routila and Eemil Rupponen
How can organizations perform scenario planning when they are hit by shocks outside of leaders’ field of vision? Interviews with Nordic executives, who experienced both the Covid-19 pandemic and were in close proximity to Russia as the country invaded Ukraine, can... View Details
Keywords: Planning; Crisis Management; Organizational Structure; Forecasting and Prediction; System Shocks; Organizational Change and Adaptation
Heikkinen, Kalle, William R. Kerr, Mika Malin, Panu Routila, and Eemil Rupponen. "When Scenario Planning Fails." Harvard Business Review Digital Articles (April 21, 2023).
- April 2023 (Revised September 2023)
- Case
Apple's iPhone Revolution: Pioneering the Circular Economy
By: George Serafeim
When asked to identify an example of a circular economy business model that has generated billions in revenues for a company, ChatGPT, the famous chatbot that in 2022 rocked the world with its ability to perform a variety of tasks, immediately identified and... View Details
Keywords: Iphone; Smartphone; Waste Management; Recycling; Innovation; Product Upgrade; Product Life Cycle; Sustainability; Climate Impact; Digital; Business Model Innovation; Climate Change; Information Technology; Business Model; Information Technology Industry; Information Technology Industry
Serafeim, George. "Apple's iPhone Revolution: Pioneering the Circular Economy." Harvard Business School Case 123-089, April 2023. (Revised September 2023.)
- 15 Apr 2023
- Conference Presentation
Autonomous Systems
By: Hise O. Gibson, Rob Wittman, Brandon Tseng, Nini Hamrick and Tim Booher
Autonomous systems have been on the front lines and front pages in the war in Ukraine, yet there are many unanswered questions regarding their future role and capabilities. Currently, these systems are employed in myriad use cases in logistics, intelligence, and... View Details
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
- April 2023
- Case
Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
- April 2023 (Revised September 2023)
- Case
Levels: The Remote, Asynchronous, Deep Work Management System
By: Joseph B. Fuller and George Gonzalez
Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
- 2023
- Working Paper
Corporate Website-based Measures of Firms' Value Drivers
By: Wei Cai, Dennis Campbell and Patrick Ferguson
We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details
Cai, Wei, Dennis Campbell, and Patrick Ferguson. "Corporate Website-based Measures of Firms' Value Drivers." SSRN Working Paper Series, No. 4413808, April 2023.
- Spring 2023
- Article
Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field
By: Wei Cai, Susanna Gallani and Jee-Eun Shin
This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are... View Details
Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management
Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
- April 2023
- Article
Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach
By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details
Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.