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- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
- 2020
- Book
The Power of Experiments: Decision-Making in a Data-Driven World
By: Michael Luca and Max H. Bazerman
Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of changes to an... View Details
Keywords: Experiments; Randomized Controlled Trials; Organizations; Decision Making; Analytics and Data Science; Management Analysis, Tools, and Techniques
Luca, Michael, and Max H. Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press, 2020.
- May 2022
- Case
Executive Decision-Making at Zola
By: Amy C. Edmondson and Michael Roberto
In April 2020, Rachel Jarrett, President and COO of wedding technology company Zola, called a meeting with the organization’s key decision-makers. The company had previously launched three business expansions: a vendor marketplace, a wedding apparel division, and a... View Details
Keywords: Decision Making; Voting; Decision Choices and Conditions; Management Skills; Management; Management Style; Organizations; Organizational Culture; Technology Industry; Entertainment and Recreation Industry; United States
Edmondson, Amy C., and Michael Roberto. "Executive Decision-Making at Zola." Harvard Business School Case 622-074, May 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Data-driven Decision-making; Decisions; Negotiation; Bids and Bidding; Valuation; Consumer Behavior; Real Estate Industry
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 1." Harvard Business School Exercise 923-016, October 2022.
- 2020
- Working Paper
Digital Experimentation and Startup Performance: Evidence from A/B Testing
By: Rembrand Koning, Sharique Hasan and Aaron Chatterji
Recent work argues that experimentation is the appropriate framework for entrepreneurial strategy. We investigate this proposition by exploiting the time-varying adoption of A/B testing technology, which has drastically reduced the cost of experimentally testing... View Details
Keywords: Experimentation; A/B Testing; Data-driven Decision-making; Entrepreneurship; Strategy; Business Startups; Information Technology; Performance
Koning, Rembrand, Sharique Hasan, and Aaron Chatterji. "Digital Experimentation and Startup Performance: Evidence from A/B Testing." Harvard Business School Working Paper, No. 20-018, August 2019. (Revised September 2020. SSRN Working Paper Series, No. 3440291, August 2019)
- September 2022
- Article
Experimentation and Start-up Performance: Evidence from A/B Testing
By: Rembrand Koning, Sharique Hasan and Aaron Chatterji
Recent scholarship has argued that experimentation should be the organizing principle for entrepreneurial strategy. Experimentation leads to organizational learning, which drives improvements in firm performance. We investigate this proposition by exploiting the... View Details
Keywords: Experimentation; A/B Testing; Data-driven Decision-making; Organizational Learning; Entrepreneurship; Strategy; Business Startups; Learning; Performance; Decision Making
Koning, Rembrand, Sharique Hasan, and Aaron Chatterji. "Experimentation and Start-up Performance: Evidence from A/B Testing." Management Science 68, no. 9 (September 2022): 6434–6453.
- 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.)
- Article
Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
By: Iavor Bojinov and Somit Gupta
In the past decade, online controlled experimentation, or A/B testing, at scale has proved to be a significant driver of business innovation. The practice was first pioneered by the technology sector and, more recently, has been adopted by traditional companies... View Details
Keywords: A/B Testing; Experimentation; Data-driven Culture; Product Development; Innovation and Invention; Digital Transformation
Bojinov, Iavor, and Somit Gupta. "Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide." Harvard Data Science Review, no. 4.3 (Summer, 2022).
- 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
- January 2012 (Revised March 2013)
- Case
Ctrip: Scientifically Managing Travel Services
By: David A. Garvin and Nancy Hua Dai
Ctrip is a $437 million Chinese on-line travel services company with a scientific, data driven approach to management. The case explores Ctrip's founding and early growth, its expansion into multiple market segments including hotel reservations, air ticketing, leisure... View Details
Keywords: Scientific Management; Data-driven Management; Management; Expansion; Business Growth and Maturation; Market Entry and Exit; Mathematical Methods; Business Processes; Information Management; Travel Industry; China
Garvin, David A., and Nancy Hua Dai. "Ctrip: Scientifically Managing Travel Services." Harvard Business School Case 312-092, January 2012. (Revised March 2013.)
- 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.)
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. 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; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- 28 Mar 2023
- Blog Post
Meet Professor Elisabeth Paulson: A Conversation on Life, Research, and Teaching
Data-driven decision-making is a powerful tool. A first step to successfully deploying such tools is to have clear (measurable) objectives and think through tradeoffs. Ask yourself: what is the metric that I... View Details
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- February 2022
- Case
Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic
By: Linda A. Hill and Emily Tedards
As COVID-19 began to take lives, destroy healthcare systems, and shut down economies across the globe, Dr. Rakesh Suri, Chief Executive Officer of Cleveland Clinic Abu Dhabi, and his executive team adapted their leadership to instill the new levels of agility and... View Details
Keywords: Organizational Behavior; Culture; Organizational Culture; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Innovation; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teamwork; Ecosystem; Agility; Partnerships; Data-driven Decision-making; Operating Model; Risk Management; Virtual Work; Team Dynamics; Telemedicine; Metrics; Globalization; Pandemic; COVID-19; Hospital; Healthcare; United Arab Emirates; Middle East; Health Care and Treatment; Health Pandemics; Organizational Change and Adaptation; Crisis Management; Leading Change; Leadership Style; Digital Transformation; United Arab Emirates; Middle East
Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic." Harvard Business School Case 422-057, February 2022.
- 30 Nov 2019
- News
Elon Musk and the Dying Art of the Big Bet
- 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.
- February 2022
- Case
Cleveland Clinic Abu Dhabi
By: Linda A. Hill and Emily Tedards
In 2006, the Cleveland Clinic and Mubadala Investment Company partnered with a bold ambition to deliver world class healthcare in the United Arab Emirates. In 2015, after nearly a decade of planning and construction, Cleveland Clinic Abu Dhabi opened its doors. By... View Details
Keywords: Organizational Behavior; Culture; Alignment; Organizational Effectiveness; Purpose; Impact; Leadership Development; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teams; Team Dynamics; Teamwork; Team Effectiveness; Trust; Talent; Talent Development And Retention; Psychological Safety; Organizational Evolution; Coaching; Board; Analytics; Innovation; Data; Data Visualization; Digital Technology; Digital; Customer Experience; Experimentation; Change Management; Data-driven Decision-making; Debates; Ecosystem; Partnership; Telemedicine; Sustainability; Global Organizations; Local; Hospital; Healthcare; United Arab Emirates; Health Care and Treatment; Partners and Partnerships; Globalization; Quality; Organizational Culture; Mission and Purpose; Innovation and Management; Information Technology; Joint Ventures; Leadership; Performance Effectiveness; Abu Dhabi; United Arab Emirates
Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi." Harvard Business School Case 422-058, February 2022.
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption