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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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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

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

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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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

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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2024
Article

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

By: Michael Lingzhi Li and Kosuke Imai

A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details

Keywords: AI and Machine Learning; Research

June 2024
Case

Aidoc: Building a Hospital-Centric AI Platform

By: Ariel D. Stern and Susan Pinckney

In 2023, Israel-based AI health care company Aidoc evaluated its future. The company, founded in 2016, had grown from commercializing a single AI product for radiologists to a software platform that could detect 20 conditions and immediately notify care teams of... View Details

Article

Counterfactual Explanations Can Be Manipulated

By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh

Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate... View Details

Keywords: Machine Learning Models; Counterfactual Explanations

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

2020
Working Paper

Topic Preference Detection: A Novel Approach to Understand Perspective Taking in Conversation

By: Michael Yeomans and Alison Wood Brooks

Although most humans engage in conversations constantly throughout their lives, conversational mistakes are commonplace— interacting with others is difficult, and conversation re-quires quick, relentless perspective-taking and decision making. For example: during every... View Details

Keywords: Natural Language Processing; Interpersonal Communication; Perspective; Decision Making; Perception

26 Mar 2024
Research & Ideas

How Humans Outshine AI in Adapting to Change

the flexibility of AI versus humans in adjusting to new situations, the authors set up four video games, outlining certain tasks for humans and several popular game-playing AI algorithms to complete. The tasks tested the players’ ability... View Details

Keywords: by Rachel Layne; Technology; Information Technology

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

March 2011 (Revised December 2012)
Case

Demand Media

By: John Deighton and Leora Kornfeld

Google search had helped Demand Media grow to be a $1.9 billion online publisher. Then, social media and smartphone apps began to change the way people navigated the Internet. How should Demand Media respond? The business ran on a radically new model in which a stable... View Details

Keywords: Business Model; Information Publishing; Consumer Behavior; Customization and Personalization; Internet and the Web; Publishing Industry

29 Jun 2011
Working Paper Summaries

Better-reply Dynamics in Deferred Acceptance Games

Keywords: by Guillaume Haeringer & Hanna Halaburda

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