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- All HBS Web
(1,372)
- Faculty Publications (296)
- February 2022
- Article
Taxation and Innovation in the 20th Century
By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax... View Details
Keywords: Innovation; Income Taxes; Corporate Taxation; Firms; Inventors; State Taxation; Business Taxation; R&D Tax Credits; Taxation; Innovation and Invention; History; United States
Akcigit, Ufuk, John Grigsby, Tom Nicholas, and Stefanie Stantcheva. "Taxation and Innovation in the 20th Century." Quarterly Journal of Economics 137, no. 1 (February 2022): 329–385.
- December 2021
- Article
Employee Responses to Compensation Changes: Evidence from a Sales Firm
By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton
What are the long-term consequences of compensation changes? Using data from an inbound sales call center, we study employee responses to a compensation change that ultimately reduced take-home pay by 7% for the average affected worker. The change caused a significant... View Details
Keywords: Employees; Wages; Compensation and Benefits; Change; Performance; Resignation and Termination; Retention; Analysis
Sandvik, Jason, Richard Saouma, Nathan Seegert, and Christopher Stanton. "Employee Responses to Compensation Changes: Evidence from a Sales Firm." Management Science 67, no. 12 (December 2021): 7687–7707.
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the... View Details
Keywords: Mobile Internet Usage; Pricing Strategy; Internet and the Web; Mobile and Wireless Technology; Demographics; Income; Price; Strategy
Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
- 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: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; 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.
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
- 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.