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- October 2023
- Case
Governance and Growth at GenUnity
By: Brian Trelstad, Paul Healy and Annelena Lobb
Jerren Chang, CEO and co-founder of GenUnity, had to choose a strategy to scale his civic engagement-focused nonprofit. Based in Boston, Chang could grow the organization there or begin to expand to other cities. He also had to select candidates for a board of...
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- October 2023
- Case
Fantuan
By: Feng Zhu and David Lane
In 2023, CEO Randy Wu was considering the optimal growth strategy for Fantuan, a restaurant food delivery platform that had expanded from its 2014 founding in Vancouver, Canada to serve the Chinese demand for Asian cuisine in urban markets across Australia, Canada, the...
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- October 2023
- Case
FARM Rio: Bringing a Brazilian Fashion Brand to the World
By: Isamar Troncoso and Jill Avery
FARM Rio, a twenty-six year old Brazilian fashion brand had recently put down roots in the U.S. The brand, known for its bold, colorful, nature-inspired tropical prints, was testing the waters in Europe to assess if and how the brand should further expand globally....
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- September 28, 2023
- Article
A Perspective on the Great Reallocation of Global Supply Chains
By: Laura Alfaro and Davin Chor
Previous optimism that cross-border supply chains would improve efficiency for firms and open up growth opportunities for countries has been tempered by concerns that global value chains now expose firms and countries to the risk of disruptions. This column analyses...
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Alfaro, Laura, and Davin Chor. "A Perspective on the Great Reallocation of Global Supply Chains." Vox, CEPR Policy Portal (September 28, 2023).
- September–October 2023
- Article
Interpretable Matrix Completion: A Discrete Optimization Approach
By: Dimitris Bertsimas and Michael Lingzhi Li
We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be...
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Keywords:
Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Interpretable Matrix Completion: A Discrete Optimization Approach." INFORMS Journal on Computing 35, no. 5 (September–October 2023): 952–965.
- 2023
- Working Paper
Targeting, Personalization, and Engagement in an Agricultural Advisory Service
By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
ICT is increasingly used to deliver customized information in developing countries. We
examine whether individually targeting the timing of automated voice calls meaningfully
increases engagement in an agricultural advisory service. We define, estimate, and...
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Keywords:
Developing Countries and Economies;
Knowledge Dissemination;
Customization and Personalization;
Performance Effectiveness
Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to...
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Keywords:
Experiments;
Pricing And Revenue Management;
Retailing;
Demand Estimation;
Pricing Algorithm;
Marketing;
Price;
Demand and Consumers;
Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- 2023
- Working Paper
Residential Battery Storage - Reshaping The Way We Do Electricity
By: Christian Kaps and Serguei Netessine
In this paper, we aim to understand when private households invest in rooftop solar installations and battery storage, and how these investment decisions affect their electricity usage patterns as well as the market structure overall. We answer three main research...
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Keywords:
Solar Power;
Energy Storage;
Technology And Innovation Management;
Energy;
Energy Policy;
Renewable Energy;
Technological Innovation;
Innovation and Management;
Energy Industry
Kaps, Christian, and Serguei Netessine. "Residential Battery Storage - Reshaping The Way We Do Electricity." Working Paper, August 2023.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an...
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Keywords:
Analytics and Data Science;
AI and Machine Learning;
Decision Making;
Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- 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...
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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
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
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Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- 2023
- Case
Christiana Figueres and the Collaborative Approach to Negotiating Climate Action
By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
This case study centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change (UNFCCC) to build momentum for, and ultimately pass, the 2015...
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Keywords:
Climate Change;
Negotiation;
Environmental Regulation;
International Relations;
Leadership
Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Collaborative Approach to Negotiating Climate Action." Program on Negotiation at Harvard Law School Case, 2023. Electronic.
- 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...
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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.
- March 31, 2023
- Article
What Is the Optimal Pattern of a Customer Journey?
Even though customer experience (CX) leaders are becoming increasingly focused on optimizing their firms’ customer journeys, they face a clear challenge: Which touchpoints along the journey should they invest in? That is, which moments when the customer interacts with...
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De Freitas, Julian. "What Is the Optimal Pattern of a Customer Journey?" Harvard Business Review (website) (March 31, 2023).
- February 2023
- Teaching Note
Shinola Detroit: Optimizing Product Line Breadth
By: Robert J. Dolan
Teaching Note for HBS Case No. 520-011.
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- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first...
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- February 2023
- Article
The Effect of Systems of Management Controls on Honesty in Managerial Reporting
By: Aishwarrya Deore, Susanna Gallani and Ranjani Krishnan
While budgetary controls with capital rationing are optimal in theory and widespread in practice, empirical research documents their association with higher employee dishonesty compared to budgetary controls without rationing. In this study, we examine whether...
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Keywords:
Directing Controls;
Misreporting;
Mission Statements;
Participative Budgeting;
Stewardship Theory;
Systems Of Management Controls;
Capital;
Budgets and Budgeting;
Mission and Purpose
Deore, Aishwarrya, Susanna Gallani, and Ranjani Krishnan. "The Effect of Systems of Management Controls on Honesty in Managerial Reporting." Art. 101401. Accounting, Organizations and Society 105 (February 2023).
- January 2023 (Revised January 2023)
- Case
Belden and Digital Transformation: From Product Sales to Solutions Sales
By: Frank V. Cespedes and Amy Klopfenstein
This case concerns the industrial automation division at Belden, a hardware manufacturer. While Belden historically sold products such as cables, wires, and other networking devices, EVP of Industrial Automation Ashish Chand recognized that IT vendors were entering the...
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Keywords:
Implementation;
Sales Cycle;
Digital Transformation;
Sales;
Product Positioning;
Business Model;
Market Entry and Exit;
Customer Focus and Relationships;
Business and Stakeholder Relations;
Supply and Industry;
Technology Industry;
North America;
United States
Cespedes, Frank V., and Amy Klopfenstein. "Belden and Digital Transformation: From Product Sales to Solutions Sales." Harvard Business School Case 823-002, January 2023. (Revised January 2023.)
- 2023
- Working Paper
Public Perception and Autonomous Vehicle Liability
By: Julian De Freitas, Xilin Zhou, Margherita Atzei, Shoshana Boardman and Luigi Di Lillo
The deployment of autonomous vehicles (AVs) and the accompanying societal and economic benefits will greatly depend on how much liability AV firms will have to carry for accidents involving these vehicles, which in turn impacts their insurability and associated...
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Keywords:
Autonomous Vehicles;
Moral Judgment;
Liabilities;
Harm;
Insurance;
Moral Sensibility;
Legal Liability;
Risk and Uncertainty;
Technological Innovation;
Public Opinion
De Freitas, Julian, Xilin Zhou, Margherita Atzei, Shoshana Boardman, and Luigi Di Lillo. "Public Perception and Autonomous Vehicle Liability." Harvard Business School Working Paper, No. 23-036, January 2023. (Revised January 2023.)