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  • 2023
  • Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...  View Details
Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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  • May 2023
  • Article

Decarbonizing Health Care: Engaging Leaders in Change
By: Vivian S. Lee, Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio and Robert S. Kaplan
Health care leaders are often surprised to learn that their operations contribute significantly to a warming climate. In addition to their roles as responders to and victims of extreme weather events, health care organizations have an obligation to reduce...  View Details
Keywords: Health Care; Decarbonization; Carbon Emissions; Net-zero Emissions; Climate Change; Health Care and Treatment; Health Industry
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  • March 2023
  • Article

Developing Moral Muscle in a Literature-based Business Ethics Course
By: Inge M. Brokerhof, Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen and Omar N. Solinger
Moral subjectivity (e.g., reflexivity, perspective-taking) is a necessary condition for moral development. However, widely used approaches to business ethics education, rooted in conceptualizations of ethical development as objective and quantifiable, often neglect...  View Details
Keywords: Moral Sensibility; Business Education; Growth and Development; Teaching
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  • April 12, 2023
  • Article

Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...  View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
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  • 2023
  • Working Paper

Using GPT for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have quickly become popular as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners who...  View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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  • April 2023
  • Case

Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning...  View Details
Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
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  • April 2023
  • Article

Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant...  View Details
Keywords: Cognition and Thinking; Information Types; Behavior; Knowledge Acquisition
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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
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  • March 2023 (Revised May 2023)
  • Case

OneTen at Delta Air Lines: Catalyzing Family-Sustaining Careers for Black Talent (A)
By: Linda A. Hill and Lydia Begag
It was December 10, 2020, and Ed Bastian, the Chief Executive Officer (CEO) of Delta Air Lines (Delta), had just finished a meeting with Joanne Smith, Executive Vice President and Chief People Officer, and Keyra Lynn Johnson, the Chief Diversity and Inclusion Officer....  View Details
Keywords: Recruitment; Training; Race; Equality and Inequality; Corporate Social Responsibility and Impact; Job Design and Levels; Air Transportation Industry; United States
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  • March 2023
  • Case

Pratham 2.0: Sustaining Innovation
By: Brian Trelstad, Samantha Webster and Malini Sen
Pratham is a Mumbai-based nonprofit, which focuses on high-quality, low-cost, and replicable interventions to address gaps in India’s education system. From inception, it has pioneered innovation, from early childhood learning centers to adaptive literacy programs, to...  View Details
Keywords: Nonprofit; Talent Management; Innovation; Early Childhood Education; Social Entrepreneurship; Literacy; Leadership Development; Value Creation; Education Industry; Asia; Africa; India
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  • March 2023
  • Case

Best Buy: Renew Blue (A)
By: Sunil Gupta, Dave Habeeb and Amram Migdal
Preabstract: The A Video Case should be assigned to students in advance of class. The B case is intended to be used in class by educators and the C case can be assigned to students during or after class. The product is designed as a low-prep case for students, with...  View Details
Keywords: Job Offer; Retail Industry
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  • March 2023
  • Article

Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of...  View Details
Keywords: Selection and Staffing; Analysis; Decision Choices and Conditions
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  • March–April 2023
  • Article

Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...  View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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  • 2023
  • Working Paper

Translating Information into Action: A Public Health Experiment in Bangladesh
By: Reshmaan Hussam, Kailash Pandey, Abu Shonchoy and Chikako Yamauchi
While models of technology adoption posit learning as the basis of behavior change, information campaigns in public health frequently fail to change behavior. We design an information campaign embedding hand-hygiene edutainment within popular dramas using mobile...  View Details
Keywords: Handwashing; Public Health; Health; Information; Behavior; Change
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  • 2023
  • Working Paper

Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how people signal important information about themselves to others. We first train machine learning models to assess the use of warmth and competence impression management...  View Details
Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
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  • 2022
  • Working Paper

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment...  View Details
Keywords: AI and Machine Learning; Refugees; Mathematical Methods
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  • February 2023
  • Case

Ronald Reagan: Changing the World
By: Robert Simons and Shirley Sun
This case traces the rise of Ronald Reagan from small town Illinois to two-term president of the United States. An unlikely candidate for the world’s most powerful job, the case describes the different roles that Reagan filled over his life: radio announcer, Hollywood...  View Details
Keywords: Politics; Entertainment; Personal Characteristics; Business And Government; Values And Beliefs; Mission And Purpose; Decision Making; Government Administration; Management Style; Power and Influence; United States
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  • February 2023
  • Supplement

Shanty Real Estate: Teaching Note Supplement
By: Michael Luca
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough....  View Details
Keywords: Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
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  • 2023
  • Working Paper

Won’t You Be My Neighbor? Events, Knowledge Spillovers, and Entrepreneur Performance in Togo
By: Stefan Dimitiadis and Rembrand Koning
Spatial proximity between firms plays a crucial role in entrepreneurship by creating knowledge spillovers, enabling resource sharing, and sparking productivity gains. Building on these insights, research has explored whether institutions and organizations can engineer...  View Details
Keywords: Local Range; Knowledge Sharing; Performance Productivity; Togo
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  • January 2023 (Revised April 2023)
  • Case

Cobalt Robotics: Scaling Workplace Robotics
By: Jeffrey F. Rayport, Nicole Tempest Keller and Kyung Keun Park
Founded in 2016, Cobalt Robotics, based in Fremont, California, was a Robot-as-a-Service (RaaS) company that built autonomous workplace robots that were designed to replace or supplement human security guards. Outfitted with over 60 sensors, Cobalt robots patrolled...  View Details
Keywords: Information Infrastructure; Disruptive Innovation; Innovation and Invention; Marketing Strategy; Marketing Channels; Customers; Technology Industry; United States; California
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