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- All HBS Web
(3,311)
- Faculty Publications (962)
- December 2023
- Article
Looking Forward – To Better Strategy-Sales Coordination
Business decisions are about tomorrow, not yesterday. A key to looking forward in most firms is the annual strategy meeting, where linking sales efforts with strategy is vital for implementation and profitable growth. But according to surveys, less than half of... View Details
Cespedes, Frank V. "Looking Forward – To Better Strategy-Sales Coordination." Top Sales Magazine (December 2023), 26–27.
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Chapter
Malleability Interventions in Intergroup Relations
By: Smadar Cohen-Chen, Amit Goldenberg, James J. Gross and Eran Halperin
One important characteristic of intergroup relations and conflicts is the fact that toxic or violent intergroup relations are often associated with fixed and stable perceptions of various entities, including the ingroup (stable and positive), the outgroup (stable and... View Details
Cohen-Chen, Smadar, Amit Goldenberg, James J. Gross, and Eran Halperin. "Malleability Interventions in Intergroup Relations." Chap. 7 in Psychological Intergroup Interventions: Evidence-based Approaches to Improve Intergroup Relations, by Eran Halperin, Boaz Hameiri, and Rebecca Littman. Routledge, 2023.
- 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... View Details
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.
- November 2023 (Revised January 2024)
- Case
Bridgit: Persevere or Pivot?
By: Reza Satchu and Patrick Sanguineti
In late 2012, Mallorie Brodie and Lauren Lake, two young women in their final year of college, founded Bridgit, a technology startup that developed solutions to simplify vital but laborious processes within the construction industry. In the Fall of 2013, after months... View Details
Keywords: Entrepreneur; Founder; Co-founders; Women Executives; Pivot; Startup; Business Model; Business Startups; Entrepreneurship; Applications and Software; Product Launch; Research and Development; Competition; Construction Industry; Technology Industry; United States; Canada
Satchu, Reza, and Patrick Sanguineti. "Bridgit: Persevere or Pivot?" Harvard Business School Case 824-118, November 2023. (Revised January 2024.)
- 2023
- Working Paper
The Optimal Stock Valuation Ratio
By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- October 2023
- Case
Social Finance: Driving Accountability
By: Robin Greenwood, Richard S. Ruback and Robert Ialenti
Social Finance is a Boston-based nonprofit that works at the intersection of finance and policy. It raises, allocates, and manages capital to fund projects in the areas of education, early childhood development, criminal justice, and health. The case explores how... View Details
Greenwood, Robin, Richard S. Ruback, and Robert Ialenti. "Social Finance: Driving Accountability." Harvard Business School Case 224-043, October 2023.
- October 2023
- Article
Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-Driven Activity-Based Costing
By: David R. Ho, Robert S. Kaplan, Jonathan Bergman, David F. Penson, Benjamin Waterman, Kristin C. Williams, Jefersson Villatoro, Lorna Kwan and Christopher S. Saigal
Previsit decision aids (DAs) have been shown to improve decisional quality. But the cost to deploy a DA has not been previously estimated. We interviewed or observed relevant personnel at three institutions that had implemented DA programs for men with prostate cancer.... View Details
Keywords: Time-Driven Activity-Based Costing; Health Care and Treatment; Cost Accounting; Health Industry
Ho, David R., Robert S. Kaplan, Jonathan Bergman, David F. Penson, Benjamin Waterman, Kristin C. Williams, Jefersson Villatoro, Lorna Kwan, and Christopher S. Saigal. "Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-Driven Activity-Based Costing." Medical Care 61, no. 10 (October 2023): 681–688.
- September 2023
- Teaching Note
Shad Process Flow Design Exercise: Kick-Off Class
By: Willy C. Shih
The Shad Process Flow Design Exercise is a simulation designed to help students cement what they learn in the process fundamentals section of the RCTOM course by giving them the opportunity to translate classroom concepts into actual physical processes and experience... View Details
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- Article
Update on E-liability Accounting
By: Robert Kaplan, Karthik Ramanna and Piyush Jha
Since publication of the original E-liability carbon accounting paper (HBR, Nov 2021), we created the E-liability Institute to help companies, governments, and nonprofits implement the method. The Institute’s mission is to test and validate the method, and develop... View Details
Keywords: Decarbonization; Carbon Footprint; Supply Chain; Environmental Sustainability; Environmental Accounting
Kaplan, Robert, Karthik Ramanna, and Piyush Jha. "Update on E-liability Accounting." Accountability in a Sustainable World Quarterly, no. 4 (September 2023): 96–117.
- August 2023 (Revised January 2024)
- Supplement
Arla Foods: Data-Driven Decarbonization (A)
By: Michael Parzen, Michael W. Toffel, Amram Migdal and Susan Pinckney
Arla implemented a data-based price incentive system to measure, track, and influence climate friendly changes to reduce CO2 emissions across the world’s fourth largest dairy cooperative. View Details
Keywords: Dairy Industry; Business Earnings; Earnings Management; Environmental Accounting; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
- August 2023 (Revised March 2024)
- Case
Arla Foods: Data-Driven Decarbonization (A)
By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details
Keywords: Dairy Industry; Business Earnings; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Case 624-003, August 2023. (Revised March 2024.)
- August 2023 (Revised January 2024)
- Supplement
Arla Foods: Data-Driven Decarbonization (B)
By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal
The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details
Keywords: Dairy Industry; Earnings Management; Environmental Accounting; Animal-Based Agribusiness; Mergers and Acquisitions; Decisions; Voting; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Cross-Cultural and Cross-Border Issues; Global Strategy; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercial Banking; Cooperation; Corporate Strategy; Motivation and Incentives; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Denmark; Sweden; Luxembourg; Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (B)." Harvard Business School Supplement 624-036, August 2023. (Revised January 2024.)
- 2023
- Working Paper
LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry
By: Stephen A. Greyser, Kenneth Cortsen and Juan Fuentes Fernández
LALIGA, the first- and second-tier professional soccer league (known as “football” outside of the U.S. and Canada) in Spain, enters its 100th soccer season later this decade. The most popular game in the world (Giulianotti, 2012) has gone through many changes since... View Details
Keywords: Soccer; "Sports Organizations,; Business History; Strategy; Brands and Branding; Technology Adoption; Sports Industry
Greyser, Stephen A., Kenneth Cortsen, and Juan Fuentes Fernández. "LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry." Harvard Business School Working Paper, No. 24-009, August 2023.
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- 2023
- Working Paper
Do Third-Party Guarantors Reassure Foot Soldiers?
By: Natalia Garbiras-Díaz, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque and Laia Balcells
Since the end of the Cold War, international third parties such as the United Nations (UN) have become frequent guarantors of peace agreements. Existing studies document that third parties provide assurances that help maintain peace, yet these studies nearly... View Details
Keywords: United Nations; Colombia; Peacemaking; Peace Process; Peace; Civil Unrest; Civil Society; Political Leadership; Policy; Civil Society or Community; Governance; Government and Politics; Economy; Economic Growth; Latin America; South America; Colombia
Garbiras-Díaz, Natalia, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque, and Laia Balcells. "Do Third-Party Guarantors Reassure Foot Soldiers?" Working Paper, August 2023.
- July 2023 (Revised May 2024)
- Case
Vytal: Packaging-as-a-Service
By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer
The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food... View Details
Keywords: Climate Risk; Digital; Platform Strategies; Data; Packaging; Sustainability; Start-up; Startup; Entrepreneur; Impact; Circular; Growth Strategy; Innovation; Environmental Sustainability; Innovation and Invention; Business Growth and Maturation; Growth and Development Strategy; Business Startups; Resource Allocation; Risk Management; Adoption; Strategy; Performance Productivity; Service Delivery; Service Operations; Supply Chain; Distribution; Entrepreneurship; Climate Change; Green Technology Industry; Service Industry; Retail Industry; Germany; Europe
Serafeim, George, Michael W. Toffel, Lena Duchene, and Daniela Beyersdorfer. "Vytal: Packaging-as-a-Service." Harvard Business School Case 124-007, July 2023. (Revised May 2024.)
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)