Publications
Publications
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- All HBS Web
(1,976)
- Faculty Publications (516)
- 2022
- Chapter
Measuring Compliance Risk and the Emergence of Analytics
By: Eugene F. Soltes
Corporate compliance manages a diverse set of regulatory and reputational concerns ranging from fraud to privacy to discrimination. However, effectively managing such risks has often been hampered by a lack of adequate information about when, where, and why misconduct... View Details
- January 2022 (Revised February 2022)
- Case
Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?
By: Jonas Heese, Charles C.Y. Wang and James Weber
In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say... View Details
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
- December 2021
- Case
Burning Glass Technologies: From Data to Product
By: Suraj Srinivasan and Amy Klopfenstein
In May 2021, Matt Sigelman, CEO of Burning Glass Technologies, a company that provided labor market analytics for a variety of markets, navigates his company’s transition from data company to product company. Burning Glass originated as a service that used artificial... View Details
Keywords: Information Technology; Applications and Software; Digital Platforms; Internet and the Web; Strategy; Expansion; Business Strategy; Labor; Employment; Human Capital; Jobs and Positions; Job Design and Levels; Job Search; Human Resources; Selection and Staffing; Recruitment; Employees; Retention; Competency and Skills; Experience and Expertise; Talent and Talent Management; Analytics and Data Science; Business Model; Technology Industry; North and Central America; United States
- Article
Core Earnings: New Data and Evidence
By: Ethan Rouen, Eric C. So and Charles C.Y. Wang
Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 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
- October 2021 (Revised February 2022)
- Case
Newsweek: Driving a Digital First Strategy
By: Lynda M. Applegate and Suraj Srinivasan
The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details
- October 2021
- Case
CrisisReady: Private Data for Public Good
By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech... View Details
- September 2021 (Revised December 2021)
- Case
Spire, the CubeSat Revolution, and the Government as a Space Data Customer
By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau
This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details
- Article
Targeting Weather Insurance Markets
By: Anita Mukherjee, Shawn Cole and Jeremy Tobacman
The suitability of insurance products often depends greatly on individual circumstances. This paper examines the challenges of heterogeneity in a relatively new product, weather‐indexed insurance. This index insurance product has been launched in over a dozen... View Details
Keywords: Index Insurance; Labor Markets; Self-insurance; Self-protection; Weather; Insurance; Markets; Household; Risk Management
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
- August 2021
- Case
Orchadio's First Two Split Experiments
By: Iavor I. Bojinov, Marco Iansiti and David Lane
Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on... View Details
- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
- 2021
- Working Paper
How to Fix ESG Reporting
By: Robert S. Kaplan and Karthik Ramanna
Investors, advocacy groups, academics, and the 200 CEOs of the US Business Roundtable have asked corporations to take on an added purpose beyond a narrow pursuit of shareholder value. In response, many companies now issue ESG (Environmental, Societal, and Governance)... View Details
Keywords: ESG Reporting; Sustainability; Corporate Purpose; Greenhouse Gas; Activity-Based Costing; Environmental Sustainability; Environmental Management; Corporate Social Responsibility and Impact; Measurement and Metrics; Goals and Objectives; Agreements and Arrangements; Corporate Accountability
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details