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- September 2021
- Article
Kidney Exchange: An Operations Perspective
By: Itai Ashlagi and Alvin E. Roth
Many patients in need of a kidney transplant have a willing but incompatible (or poorly matched) living donor. Kidney exchange programs arrange exchanges among such patient-donor pairs, in cycles and chains of exchange, so each patient receives a compatible kidney....
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- May 2021 (Revised February 2022)
- 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...
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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
Which Markets (Don't) Drive Pharmaceutical Innovation? Evidence From U.S. Medicaid Expansions
By: Craig Garthwaite, Rebecca Sachs and Ariel Dora Stern
Pharmaceutical innovation policy involves managing a tradeoff between high prices for new products in the short-term and stronger incentives to develop products for the future. Prior research has documented a causal relationship between market size and pharmaceutical...
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- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across...
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- 2021
- Working Paper
Kidney Exchange: An Operations Perspective
By: Itai Ashlagi and Alvin E. Roth
Many patients in need of a kidney transplant have a willing but incompatible (or poorly matched) living donor. Kidney exchange programs arrange exchanges among such patient-donor pairs, in cycles and chains of exchange, so each patient receives a compatible kidney....
View Details
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
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;
Preference Prediction;
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
- January 2021 (Revised May 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own...
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Keywords:
Data Analytics;
Data Privacy;
Data Management;
＂Marketing Analytics＂;
Marketing Communication;
Marketing Research;
Data-driven Management;
E-Commerce Strategy;
Ethical Decision Making;
CRM;
Consumer Protection;
Targeted Advertising;
Targeted Policies;
Data Ownership;
Marketing;
Research;
Marketing Communications;
Analytics and Data Science;
Management;
Customer Relationship Management;
Ethics;
E-commerce;
Retail Industry;
Technology Industry;
United States
- 2020
- Working Paper
What Can Economics Say About Alzheimer's Disease?
By: Amitabh Chandra, Courtney Coile and Corina Mommaerts
Alzheimer’s Disease (AD) affects one in ten people aged 65 or older and is the most expensive disease in the United States. We describe the central economic questions raised by AD. While there is overlap with the economics of aging, the defining features of the...
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- 2019
- Working Paper
The Future of Executive Development: The CLO's Compass and The Executive Programs Designer's Guide
By: Mihnea Moldoveanu and Das Narayandas
Executive education worldwide has entered a period of disruption catalyzed by the digitalization of content, connectivity, and communication—while the demand for managerial skills is growing. The forces of disintermediation, disaggregation, and decoupling are creating...
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- Article
Economic Principles for Medicare Reform
By: Amitabh Chandra and Craig Garthwaite
In this article, we develop an economic framework for Medicare reform that highlights trade-offs that reform proposals should grapple with but often ignore. Central to our argument is a tension in administratively set prices, which may improve short-term efficiency but...
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- September 2019
- Article
Optimizing Reserves in School Choice: A Dynamic Programming Approach
By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a...
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- 2019
- Book
Race, Work, and Leadership: New Perspectives on the Black Experience
By: Laura Morgan Roberts, Anthony J. Mayo and David A. Thomas
Race, Work, and Leadership is a rare and important compilation of essays that examines how race matters in people’s experience of work and leadership. What does it mean to be black in corporate America today? How are racial dynamics in organizations changing?...
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- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve...
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- 2018
- Working Paper
Zig-Zagging Your Way to Transformative Impact
By: V. Kasturi Rangan and Tricia Gregg
Achieving transformative impact has been much discussed by social entrepreneurs, funders, and consultants. These discussions have focused on issues of increasing impact and scale, but often with no clear distinction between the two terms. In order to provide clarity,...
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- October 2017
- Article
Toward a Prescriptive Theory of Dynamic Capabilities: Connecting Strategic Choice, Learning, and Competition
By: Gary P. Pisano
The field of strategy has mounted an enormous effort to understand, define, predict, and measure how organizational capabilities shape competitive advantage. While the notion that capabilities influence strategy dates back to the work of Andrews (1971, The Concept...
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- 2016
- Working Paper
Towards a Prescriptive Theory of Dynamic Capabilities: Connecting Strategic Choice, Learning, and Competition
By: Gary P. Pisano
The field of strategy has mounted an enormous effort to understand, define, predict, and measure how organizational capabilities shape competitive advantage. While the notion that capabilities influence strategy dates back to the work of Andrews (1971), attempts to...
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Keywords:
Competitive Advantage
- October 2015
- Case
Beyond the Classroom: OPM Councils
By: Lynda M. Applegate and Jim Sharpe
Three participants from the OPM Executive Ed program struggle to launch small group sessions with a goal of continuing their learning from each other beyond the classroom.
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- 2015
- Working Paper
A Normative Theory of Dynamic Capabilities: Connecting Strategy, Know-How, and Competition
By: Gary P. Pisano
The field of strategy has mounted an enormous effort to understand, define, predict, and measure how organizational capabilities shape competitive advantage. While the notion that capabilities influence strategy dates back to the work of Andrews (1971), attempts to...
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- Article
Analyzing Scrip Systems
By: Kris Johnson, David Simchi-Levi and Peng Sun
Scrip systems provide a nonmonetary trade economy for exchange of resources. We model a scrip system as a stochastic game and study system design issues on selection rules to match potential trade partners over time. We show the optimality of one particular rule in...
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- 2014
- Article
Drivers and Dynamics of Online Word of Mouth
By: Frank Nagle and Christoph Riedl