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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... View Details

Article

Evaluating and Managing Tramp Shipping Lines Performances: A New Methodology Combining Balanced Scorecard and Network DEA

By: Ying-Chen Hsu, Cheng-Chi Chung, Hsuan-Shih Lee and H. David Sherman

The shipping industry is essential for the economic development of nations like Taiwan as a means delivering and receiving cargo. Shipping has been depressed since 2008 as a result of the financial crisis increasing pressure for the shipping lines to operate more... View Details

Keywords: Network Data Envelopment Analysis; Shipping Line; Centralized Approach; Cross-efficiency; Balanced Scorecard; Performance Evaluation

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August 2018 (Revised October 2020)
Case

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

September 2016 (Revised October 2018)
Case

LabCDMX: Experiment 50

By: Mitchell Weiss and Maria Fernanda Miguel

There were probably 30,000 public buses, minibuses, and vans in Mexico City. Though, in 2015, no one knew for certain since no comprehensive schedule existed. This was why el Laboratorio para la Ciudad (or LabCDMX) had spawned an effort to generate a map of the... View Details

Keywords: Public Entrepreneurship; Experimentation; Lean Startup; Government; Innovation; Crowdsourcing; Open Data; Entrepreneurship; Social Entrepreneurship; Innovation and Invention; Innovation Leadership; Government Administration; Transportation; Transportation Industry; Mexico City; Mexico

March 2020
Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details

Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management

September 2017
Article

The Belief in a Favorable Future

By: Todd Rogers, Don A. Moore and Michael I. Norton

People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others... View Details

Keywords: Social Cognition; Judgment; Prediction; Forecasting; False Consensus; Donation; Open Data; Open Materials; Preregistered; Forecasting and Prediction; Perception; Values and Beliefs; Behavior

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2013
Article

How Concentrated Is the U.S. Advertising and Marketing Services Industry? Myth vs. Reality

By: Alvin J. Silk and Charles King III

We analyze changes in concentration levels in the U.S. Advertising and Marketing Services industry using data from the U.S. Census Bureau's quinquennial Economic Census and the Service Annual Survey. These data, heretofore largely ignored, allow us to redress some of... View Details

Keywords: Concentration Levels; Data; U.S. Census Bureau’s Quinquennial Economic Census And The Service Annual Survey; Measurement Problems; Herfindahl-Hirschman Index; Concentration Ratios; Advertising; Advertising Industry; North and Central America

June 2017
Article

When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology

By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht

Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details

Keywords: Ritual; Intergroup Dynamics; Intergroup Bias; Neural Reward Processing; Open Data; Open Materials; Preregistered; Groups and Teams; Behavior; Prejudice and Bias; Cooperation

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March 2019 (Revised July 2020)
Case

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel W. Fisher

In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses... View Details

Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Entrepreneurship; Market Entry and Exit; Growth and Development Strategy; Business Strategy; Value Creation; Disruption; Motion Pictures and Video Industry; United States

November 2024 (Revised January 2025)
Case

MiDAS: Automating Unemployment Benefits

By: Shikhar Ghosh and Shweta Bagai

In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details

August 2002 (Revised June 2006)
Background Note

Steps Toward Self-Assessment

Provides an overview of the self-assessment process and data-generating instruments employed in the course Self-Assessment and Career Development. The major steps in the outlined process are: gathering data through the instruments; reacting to the data and instruments;... View Details

Keywords: Personal Development and Career

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January 2020 (Revised July 2020)
Supplement

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel Fisher

In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses... View Details

February 2001
Case

PlanetFeedback: The Voice of One ... The Power of Many (A)

By: James L. Heskett

The management of PlanetFeedback in proposes a merger with Intelliseek. Their goal is to create a comprehensive C2B and B2B business focused on the generation and analysis for business clients of consumer feedback data via the Internet, Planet Feedback's board of... View Details

Keywords: Mergers and Acquisitions; Decisions; Information Management; Analytics and Data Science; Business Strategy; Internet and the Web; Information Technology Industry

December 2022
Article

Initial Coin Offering (ICO) Success and Post-ICO Performance

By: Evgeny Lyandres, Berardino Palazzo and Daniel Rabetti

We compile a comprehensive data set of initial coin offerings (ICOs) from 19 data sources including 11 ICO aggregators. We alleviate severe limitations of available ICO data by performing the first systematic analysis of ICO data quality. We use our data set to study... View Details

Keywords: Cryptocurrency; Investment Return; Entrepreneurial Finance; Success; Performance

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17 Oct 2019
Working Paper Summaries

Persuasion by Populist Propaganda: Evidence from the 2015 Argentine Ballotage

Keywords: by Rafael Di Tella, Sebastian Galiani, and Ernesto Schargrodsky

2023
Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov

Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details

Keywords: Analytics and Data Science

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... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms

2024
Working Paper

Using LLMs for Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe

Large language models (LLMs) have rapidly gained popularity 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... View Details

Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry

October 2021 (Revised December 2021)
Case

Customer-Centric Design with Artificial Intelligence: Commonwealth Bank

By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo

As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer... View Details

Keywords: Artificial Intelligence; Customer-centricity; Banks and Banking; Customer Focus and Relationships; Technological Innovation; Transformation; Organizational Change and Adaptation; Performance; AI and Machine Learning; Financial Services Industry; Australia

19 Sep 2023
HBS Case

How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?

The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can use them wisely are the questions that will dominate the next... View Details

Keywords: by Ben Rand; Technology; Information Technology

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