Data Generators - Publications - Faculty & Research - Harvard Business School

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Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

December 2014
Supplement

Interview with Anders Byriel and Mads Nygård: Kvadrat

By: Boris Groysberg and Sarah L. Abbott

Anders Byriel, CEO of the family-owned Danish textiles company, Kvadrat, and Mads Nygård, SVP of Strategy & Organization at Kvadrat, discuss the challenges and opportunities faced by the company. They elaborate on areas covered in the case including: 1.) Asia; 2.) Soft... View Details

Keywords: General Management; Organization Behavior; Strategy; Performance Management; Leadership; Business or Company Management; Growth and Development Strategy; Management Practices and Processes; Human Resources; Manufacturing Industry; Denmark

August 2015 (Revised January 2017)
Technical Note

From Correlation to Causation

By: Feng Zhu and Karim R. Lakhani

To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes... View Details

Keywords: Statistics; Regression; Data Analytics; Decisions; Forecasting and Prediction; Judgments

2024
Working Paper

Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics

By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani

The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details

Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise

Article

DEA Model with Shared Resources and Efficiency Decomposition

By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu

Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input... View Details

Keywords: Data Envelopment Analysis (DEA); Efficiency; Intermediate Measure; Performance Efficiency

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

January 2014 (Revised January 2017)
Case

Nivea (A)

By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar

The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand... View Details

Keywords: Innovation; Innovation Management; Crowdsourcing; Big Data; Innovation Strategy; Innovation and Management; Knowledge Management; Knowledge Sharing; Research and Development; Social and Collaborative Networks; Collaborative Innovation and Invention; Analytics and Data Science; Beauty and Cosmetics Industry; Consumer Products Industry

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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01 Apr 2002
News

Professorship Brings Brierley's HBS Connection Full Circle

started my first business," he says from his office in Dallas, Texas. Now, with his generous endowment of the chair held by HBS professor John A. Deighton, Brierley's involvement with the School has come full circle. A specialist in... View Details

Keywords: Charles M. Williams; Epsilon Data Management; Computer Systems Design and Related Services; Professional Services

01 Dec 1999
News

The Way You See It

single individual has achieved so much in such a short time," with "Microsoft's technology accelerating the world economy." Most influential business leader Bill Gates Jack Welch Henry Ford Alfred P. Sloan Thomas J. Watson The runner-up to Gates was View Details

Keywords: Garry Emmons. Data collection by Ericka Webb.

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

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 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

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

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

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