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March–April 2022
Article

School Choice in Chile

By: Jose Correa, Natalie Epstein, Rafael Epstein, Juan Escobar, Ignacio Rios, Nicolas Aramayo, Bastian Bahamondes, Carlos Bonet, Martin Castillo, Andres Cristi, Boris Epstein and Felipe Subiabre

Centralized school admission mechanisms are an attractive way of improving social welfare and fairness in large educational systems. In this paper, we report the design and implementation of the newly established school choice system in Chile, where over 274,000... View Details

Keywords: Early Childhood Education; Secondary Education; Middle School Education; Family and Family Relationships; Welfare; Chile

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Article

Hinged Dissections Exist

By: Timothy G. Abbott, Zachary Abel, David Charlton, Erik D. Demaine, Martin L. Demaine and Scott Duke Kominers

We prove that any finite collection of polygons of equal area has a common hinged dissection. That is, for any such collection of polygons there exists a chain of polygons hinged at vertices that can be folded in the plane continuously without self-intersection to form... View Details

Keywords: Folding; Reconfiguration; Hinge; Plygon; Refinement; Mathematical Methods

2014
Working Paper

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang

Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details

Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance

Forthcoming
Article

Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman

To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details

Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya

March 2025
Case

Niramai: An AI Solution to Save Lives

By: Rembrand Koning, Maria P. Roche and Kairavi Dey

Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details

Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Technology Industry; Health Industry; Asia; India; South Asia

2021
Book

The Future of Executive Development

By: Mihnea C Moldoveanu and Das Narayandas

Executive development programs have entered a period of rapid transformation, driven by digital disruption and a widening gap between the skills that participants and their organizations demand and those provided by their executive programs. This work delves into the... View Details

Keywords: Executive Education; Leadership Development; Management Skills; Education Industry

September–October 2020
Article

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

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2023
Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju

The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2023
Working Paper

Dynamic Pricing, Intertemporal Spillovers, and Efficiency

By: Alexander J. MacKay, Dennis Svartbäck and Anders G. Ekholm

Pricing technology that allows firms to rapidly adjust prices has two potential benefits. Time-varying prices can respond to high-frequency demand shocks to generate greater revenues, and they can also be used to smooth out demand to reduce costs. Using data... View Details

Keywords: Price; Consumer Behavior; Applications and Software; Volatility

2019
Working Paper

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

Article

Assent-maximizing Social Choice

By: Katherine A. Baldiga and Jerry R. Green

We take a decision theoretic approach to the classic social choice problem, using data on the frequency of choice problems to compute social choice functions. We define a family of social choice rules that depend on the population's preferences and on the probability... View Details

Keywords: Decision Choices and Conditions; Theory; Measurement and Metrics; Mathematical Methods; Society

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March 2023
Teaching Note

VideaHealth: Building the AI Factory

By: Karim R. Lakhani

Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details

Keywords: AI and Machine Learning; Applications and Software; Business Model; Marketing Strategy; Product Development; Health Industry; Technology Industry

2015
Chapter

Optimal Process Control of Symbolic Transfer Functions

By: Christopher Griffin and Elisabeth Paulson

Transfer function modeling is a standard technique in classical Linear Time Invariant and Statistical Process Control. The work of Box and Jenkins was seminal in developing methods for identifying parameters associated with classical (r, s, k) transfer functions.... View Details

Keywords: Transfer Functions; Markov Processes; Stochastic Models; Process Control; Research; Information Technology

06 Oct 2015
First Look

October 6, 2015

upon the Thompson sampling algorithm used for multi-armed bandit problems by incorporating inventory constraints into the pricing decisions. Our algorithm proves to have both strong theoretical performance... View Details

Keywords: Sean Silverthorne

Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details

Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software

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10 Jul 2023
In Practice

The Harvard Business School Faculty Summer Reader 2023

fascinating realm of design and human interaction with everyday objects. Norman provides thought-provoking insights on usability and human-centered design. The book is relevant to my own research on visual analytics. Picture this: designing an View Details

Keywords: by Dina Gerdeman

December 2019
Article

Communicating with Warmth in Distributive Negotiations Is Surprisingly Counterproductive

By: M. Jeong, J. Minson, M. Yeomans and F. Gino

When entering into a negotiation, individuals have the choice to enact a variety of communication styles. We test the differential impact of being “warm and friendly” versus “tough and firm” in a distributive negotiation, when first offers are held constant and... View Details

Keywords: Negotiation Style; Communication Strategy; Perception; Performance Effectiveness; Outcome or Result

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August 2020 (Revised March 2021)
Supplement

Migros Turkey: Scaling Online Operations (B)

By: Antonio Moreno and Gamze Yucaoglu

The case opens in February 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are looking over the results of the fulfillment pilot the... View Details

Keywords: Grocery; Business Model; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Retail Industry; Turkey

June 2016
Teaching Note

HubSpot: Lower Churn through Greater CHI

By: Jill Avery, Asis Martinez Jerez and Thomas Steenburgh

HubSpot, a web marketing startup selling inbound marketing software to small- and medium-sized businesses, is under pressure from its venture capital partners to rapidly acquire new customers and to maintain a low level of customer churn. The B2B SaaS company is in the... View Details

Keywords: CRM; Customer Acquisition; Customer Retention; Churn Management; SaaS Business Models; Customer Lifetime Value; Venture Capital; Startup; Software; Monitoring And Control; Marketing; Customer Relationship Management; Marketing Strategy; Accounting; Technology Industry; United States

09 Jan 2024
In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

includes addressing algorithmic biases, safeguarding privacy, ensuring security and copyright protection, as well as promoting transparency, fairness, and interpretability. Deploying mechanisms for responsible AI will be central to these... View Details

Keywords: by Rachel Layne; Information Technology

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