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Show Results For
- All HBS Web
(1,388)
- Faculty Publications (283)
- December 2021
- Article
The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies
By: Dominika Kinga Randle and Gary P. Pisano
Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components... View Details
Keywords: Breakthrough Innovation; Exploration And Exploitation; Search Strategy; Innovation and Invention; Technological Innovation; Strategy
Randle, Dominika Kinga, and Gary P. Pisano. "The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies." Strategy Science 6, no. 4 (December 2021): 290–304.
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- September 2021
- Supplement
Telepass: From Tolling to Mobility Platform
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
This supplementary dataset can be paired with the case entitled “Telepass: From Tolling to Mobility Platform” (case no. 622-011), to allow students the opportunity to analyze data before class. View Details
Keywords: Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan
- September 2021 (Revised December 2021)
- Case
Telepass: From Tolling to Mobility Platform
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment... View Details
Keywords: Mobile Payment; App; Mobility Services; Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Consumer Behavior; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan
Farronato, Chiara, Stefano Denicolai, and Sarah Mehta. "Telepass: From Tolling to Mobility Platform." Harvard Business School Case 622-011, September 2021. (Revised December 2021.)
- September 2021 (Revised December 2021)
- Case
Telepass: From Tolling to Mobility Platform (Abridged)
By: Chiara Farronato, Stefano Denicolai and Sarah Mehta
Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment... View Details
Keywords: Mobile Payment; App; Mobility Services; Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan
Farronato, Chiara, Stefano Denicolai, and Sarah Mehta. "Telepass: From Tolling to Mobility Platform (Abridged)." Harvard Business School Case 622-050, September 2021. (Revised December 2021.)
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
Keywords: Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Analytics and Data Science; Sports Industry; San Francisco; United States
Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- 2021
- Working Paper
The Great Unequalizer: Initial Health Effects of COVID-19 in the United States
By: Marcella Alsan, Amitabh Chandra and Kosali I. Simon
We measure inequities from the COVID-19 pandemic on mortality and hospitalizations in the United States during the early months of the outbreak. We discuss challenges in measuring health outcomes and health inequality, some of which are specific to COVID-19 and others... View Details
Alsan, Marcella, Amitabh Chandra, and Kosali I. Simon. "The Great Unequalizer: Initial Health Effects of COVID-19 in the United States." NBER Working Paper Series, No. 28958, June 2021.
- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- 2021
- Working Paper
Property Rights and Urban Form
By: Simeon Djankov, Edward L. Glaeser, Valeria Perotti and Andrei Shleifer
How do the different elements in the standard bundle of property rights, including those of possession and transfer, influence the shape of cities? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes... View Details
Djankov, Simeon, Edward L. Glaeser, Valeria Perotti, and Andrei Shleifer. "Property Rights and Urban Form." NBER Working Paper Series, No. 28793, May 2021.
- April 2021
- Supplement
Buy Online, Pickup in Store: CEO Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella CEO Sylvia Coparella must assess the impact of the company’s Buy Online, Pickup in Store (BOPS) program on her company’s overall sales. To do so, she must review analyses of both e-commerce and brick-and-mortar sales data and compare the... View Details
Keywords: Operations; Service Delivery; Logistics; Infrastructure; Distribution Channels; Order Taking and Fulfillment; Analysis; Retail Industry; Apparel and Accessories Industry; United States; Canada
Moreno, Antonio, Santiago Gallino, and Amy Klopfenstein. "Buy Online, Pickup in Store: CEO Supplement." Harvard Business School Supplement 621-104, April 2021.
- April 2021
- Supplement
Buy Online, Pickup in Store: Vice President of E-Commerce Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella VP of E-Commerce Charla Limont must review an analysis of her department’s sales data to determine the impact of the company’s Buy Online, Pickup in Store (BOPS) program. The program implementation created significant problems for the... View Details
Keywords: Operations; Service Delivery; Logistics; Infrastructure; Distribution Channels; Order Taking and Fulfillment; Analysis; Retail Industry; Apparel and Accessories Industry; United States; Canada
Moreno, Antonio, Santiago Gallino, and Amy Klopfenstein. "Buy Online, Pickup in Store: Vice President of E-Commerce Supplement." Harvard Business School Supplement 621-106, April 2021.
- April 2021
- Supplement
Buy Online, Pickup in Store: Vice President of Store Operations Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella VP of Store Operations Axley Vega must review an analysis of her department’s sales data to determine the impact of the company’s Buy Online, Pickup in Store (BOPS) program. BOPS implementation created significant problems for the store... View Details
Keywords: Operations; Service Delivery; Logistics; Infrastructure; Distribution Channels; Order Taking and Fulfillment; Analysis; Retail Industry; Apparel and Accessories Industry; United States; Canada
Moreno, Antonio, Santiago Gallino, and Amy Klopfenstein. "Buy Online, Pickup in Store: Vice President of Store Operations Supplement." Harvard Business School Supplement 621-105, April 2021.
- April 2021 (Revised July 2021)
- Case
StockX: The Stock Market of Things (Abridged)
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things (Abridged)." Harvard Business School Case 621-107, April 2021. (Revised July 2021.)