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- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- Forthcoming
- Article
Branch-and-Price for Prescriptive Contagion Analytics
By: Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé and Kai Wang
Contagion models are ubiquitous in epidemiology, social sciences, engineering, and management. This paper formulates a prescriptive contagion analytics model where a decision maker allocates shared resources across multiple segments of a population, each governed by... View Details
Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. "Branch-and-Price for Prescriptive Contagion Analytics." Operations Research (forthcoming). (Pre-published online March 13, 2024.)
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; "Marketing Analytics"; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- 2014
- Working Paper
Tommy Koh and the U.S.–Singapore Free Trade Agreement: A Multi-Front 'Negotiation Campaign'
By: Laurence A. Green and James K. Sebenius
Complex, multiparty negotiations are often analyzed as principals negotiating through agents, as two-level games (Putnam 1988), or in coalitional terms. The relatively new concept of a "multi-front negotiation campaign" (Sebenius 2010, Lax and Sebenius, 2012) offers... View Details
Green, Laurence A., and James K. Sebenius. "Tommy Koh and the U.S.–Singapore Free Trade Agreement: A Multi-Front 'Negotiation Campaign'." Harvard Business School Working Paper, No. 15-053, December 2014.
- December 2003 (Revised April 2005)
- Course Overview Note
Corporate Strategy: Course Note for Instructors
By: Bharat N. Anand
Introduces students to the concerns that impact a firm's choice of strategy, scope, and organization and assists in three central tasks that comprise the typical decision problem: diagnosing the sources of corporate advantage, evaluating the limits to such advantage,... View Details
Keywords: Corporate Strategy
Anand, Bharat N. "Corporate Strategy: Course Note for Instructors." Harvard Business School Course Overview Note 704-461, December 2003. (Revised April 2005.)
- Research Summary
Negotiating Campaigns
While most negotiation research focuses on specific transactions, many important negotiating situations can better be understood as elements of larger "campaigns." By this term, I mean a series of related negotiations and other away-from-the-table... View Details
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights." Journal of Business Research 104 (2019): 69–84.
- October 2009
- Article
Negotiation Analysis: From Games to Inferences to Decisions to Deals
Exemplified by the pioneering work of Howard Raiffa and often expressed in the pages of the Negotiation Journal, the emergent prescriptive field of "negotiation analysis" progressively developed from Raiffa's early contributions to game theory and to his later... View Details
Keywords: Decision Choices and Conditions; Negotiation Participants; Negotiation Preparation; Negotiation Process; Negotiation Tactics; Game Theory
Sebenius, James K. "Negotiation Analysis: From Games to Inferences to Decisions to Deals." Negotiation Journal 25, no. 4 (October 2009): 449–465.
- 2007
- Book
Global Accountabilities: Participation, Pluralism, and Public Ethics
By: Alnoor Ebrahim and Edward Weisband
This edited volume contributes analytical depth to the diverse debates on accountability in modern organizations. It explores the nature, forms and impacts of accountability efforts in civil society organizations, public and inter-governmental agencies, and private... View Details
Keywords: Ethics; Globalized Firms and Management; Corporate Accountability; Business and Government Relations
Ebrahim, Alnoor, and Edward Weisband. Global Accountabilities: Participation, Pluralism, and Public Ethics. U.K.: Cambridge University Press, 2007.
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- 05 Jul 2023
- HBS Case
What Kind of Leader Are You? How Three Action Orientations Can Help You Meet the Moment
an analytical orientation often find comfort in data, leaning on numbers or models to develop a plan that provides the best chance for success (e.g., “data is king”). Contextual. Individuals with a contextual orientation tend to focus on... View Details
Keywords: by Ben Rand
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- 13 Dec 2022
- Research & Ideas
The Color of Private Equity: Quantifying the Bias Black Investors Face
groups by combining information from data analytic firms like Burgiss and PitchBook with SEC filings and research from public sources like LinkedIn, news articles, commercial datasets, and private communications. The researchers noted... View Details
- 07 Jun 2004
- Research & Ideas
What Drives Supply Chain Behavior?
provide prescriptive recommendations, many of these papers pursue an optimizing approach given the assumption of a completely rational decision maker. Testament to the complexity of these activities is the high level of mathematical... View Details
Keywords: by Sarah Jane Johnston
- 02 Oct 2006
- Research & Ideas
Negotiating in Three Dimensions
negotiations. Of course, real people do not typically act in the ultra-rational manner assumed by such "symmetrically prescriptive" models. Howard Raiffa's intellectual innovation, since furthered by others such as HBS professor Max Bazerman, was to make his... View Details
Keywords: by Martha Lagace
- 20 Oct 2011
- Research & Ideas
Getting the Marketing Mix Right
to the effectiveness of their marketing instruments” Thomas J. Steenburgh, an associate professor in the Marketing Unit at Harvard Business School, has developed a new analytical tool that more accurately measures the effectiveness of... View Details
Keywords: by Dina Gerdeman
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will... View Details
- 16 Jan 2018
- First Look
First Look at New Research and Ideas, January 16, 2018
from analytics when they haven’t declared it themselves. If marketers avoid those tactics, use data judiciously, focus on increasing trust and transparency, and offer people control over their personal data, their ads are much more likely... View Details
Keywords: Sean Silverthorne