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- June 2024
- Supplement
Reimagining Enel: Enabling Sustainable Progress (B)
By: Michael L. Tushman and Kerry Herman
Tushman, Michael L., and Kerry Herman. "Reimagining Enel: Enabling Sustainable Progress (B)." Harvard Business School Supplement 424-088, June 2024.
- May 2024
- Case
Mission Veterinary Partners
By: Boris Groysberg, Zeeshan Ali and Annelena Lobb
After five successful years, Mission Veterinary Partners (MVP) had to decide on the best way to scale. MVP owned 300 animal hospitals and competed with other consolidators to buy more small veterinary practices. MVP had to distinguish itself as the buyer of choice but... View Details
Keywords: Mergers and Acquisitions; Retention; Growth and Development Strategy; Competitive Strategy
Groysberg, Boris, Zeeshan Ali, and Annelena Lobb. "Mission Veterinary Partners." Harvard Business School Case 424-056, May 2024.
- May 2024 (Revised May 2024)
- Case
Market by Met Council: Revolutionizing Food Pantries in the Digital Age
By: Elisabeth Paulson and Michael W. Toffel
In fall 2023, the Food Program of Met Council—America’s largest Jewish charity dedicated to fighting poverty—completed the rollout of the newest version of its digital pantry platform to twelve food pantries in the Met Council food pantry network. The digital... View Details
Keywords: Customer Focus and Relationships; Digital Transformation; Nonprofit Organizations; Service Operations; Human Needs
Paulson, Elisabeth, and Michael W. Toffel. "Market by Met Council: Revolutionizing Food Pantries in the Digital Age." Harvard Business School Case 624-060, May 2024. (Revised May 2024.)
- May 2024
- Article
The Effect of Configural Processing on Mentalization
By: Katrina Fincher, Ting Zhang, Asteya Percaya, Adam Galinsky and Michael W. Morris
Eight studies (N = 2,561) reveal that how we perceptually process a person’s face affects our capacity to understand their mind. Studies 1A and B indicate this relationship functions via two separate pathways: (a) indirectly by increasing our sensitivity to the... View Details
Fincher, Katrina, Ting Zhang, Asteya Percaya, Adam Galinsky, and Michael W. Morris. "The Effect of Configural Processing on Mentalization." Journal of Personality and Social Psychology 126, no. 5 (May 2024): 758–778.
- April 2024
- Teaching Plan
Seeds of Innovation: GALY's Quest to Cultivate the Future of Agriculture in the Lab
By: George Serafeim, Michael Norris and ZeSean Ali
This Teaching Plan for the case “Seeds of Innovation: GALY’s Quest to Cultivate the Future of Agriculture in the Lab,” HBS No. 124-017, and its related products, serves to help faculty deepen students’ comprehension of business issues and energize classroom discussion.... View Details
- April 2024
- Supplement
Driving Decarbonization at BMW
- April 2024 (Revised October 2024)
- Case
New Belgium Brewing and Climate Change
By: Michael W. Toffel, Kenneth P. Pucker and Michael Norris
In 2023, Colorado-based craft brewery New Belgium Brewing was considering how best to meet its emissions reduction targets. After decades of growth, the beermaker had grown to become one of the largest craft brewers in the U.S., and was purchased in 2019 by Japanese... View Details
Keywords: Beer; Carbon Accounting; Carbon Credits; Operation Management; Renewable Energy; Supply Chain; Environmental Sustainability; Climate Change; Corporate Social Responsibility and Impact; Environmental Accounting; Food and Beverage Industry; United States; Colorado
Toffel, Michael W., Kenneth P. Pucker, and Michael Norris. "New Belgium Brewing and Climate Change." Harvard Business School Case 624-069, April 2024. (Revised October 2024.)
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- April 2024
- Article
Decision Authority and the Returns to Algorithms
By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these... View Details
Keywords: Algorithmic Aversion; Algorithmic Decision Making; Algorithms; Public Entrepreneurship; Govenment; Local Government; Crowdsourcing; Crowdsourcing Contests; Inspection; Principal-agent Theory; Government Administration; Decision Making; Public Administration Industry; United States
Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
- 2024
- Book
The Ritual Effect: From Habit to Ritual, Harness the Surprising Power of Everyday Actions
By: Michael Norton
Our lives are filled with repetitive tasks meant to keep us on track—what we come to know as habits. Over time, these routines (for example, brushing your teeth or putting on your right sock first) tend to be performed automatically. But when we’re more mindful about... View Details
Norton, Michael. The Ritual Effect: From Habit to Ritual, Harness the Surprising Power of Everyday Actions. New York: Scribner, 2024.
- March 2024 (Revised April 2024)
- Case
Coursera's Foray into GenAI
By: Suraj Srinivasan, Michael Parzen and Radhika Kak
In early 2023, Maggioncalda, CEO of US EdTech firm Coursera, launched Project Genesis to develop a strategy for incorporating GenAI capabilities into the firm's offerings, asking his teams to focus on value to the firm and cost of implementation. The team identified... View Details
Keywords: Business Model; AI and Machine Learning; Brands and Branding; Business Strategy; Competitive Advantage; Technological Innovation; Education Industry; Technology Industry; United States
Srinivasan, Suraj, Michael Parzen, and Radhika Kak. "Coursera's Foray into GenAI." Harvard Business School Case 124-089, March 2024. (Revised April 2024.)
- 2024
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas
By: Jacqueline N. Lane, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
Evaluation of novel projects is essential for scientific and technological advancement. However,
evaluator bias toward a project’s potential can obscure its limitations. This study investigates
evaluation formats by contrasting combined assessments of novelty and... View Details
Lane, Jacqueline N., Tianxi Cai, Michael Menietti, Griffin Weber, and Eva C. Guinan. "Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas." Harvard Business School Working Paper, No. 24-064, March 2024.
- March 2024
- Supplement
Shanty Real Estate: Sample Classroom Results
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
- March 2024
- Case
Krispy Kreme: Reimagining Fresh and Franchised
By: Michael S. Kaufman and Abi Chen
Kaufman, Michael S., and Abi Chen. "Krispy Kreme: Reimagining Fresh and Franchised." Harvard Business School Case 324-105, March 2024.
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- March 2024
- Supplement
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Peter Fader, Bruce G.S. Hardie and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
- March 2024
- Supplement
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
- March 2024
- Supplement
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
- March 2024
- Teaching Note
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Peter S. Fader, Bruce Hardie and Michael Ross
Teaching Note for HBS Case No. 524-046. This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in... View Details
- March 2024
- Case
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Bruce Hardie, Michael Ross and Peter S. Fader
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Customer Value and Value Chain; Retail Industry; United States
Ascarza, Eva, Bruce Hardie, Michael Ross, and Peter S. Fader. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Case 524-046, March 2024.