Publications

Research Summary

Finding their voice: Time and the conditions that elevate participation of lower-power members in teams [Dissertation, data analysis and writing]

This dissertation paper develops theory about how gaining voice and “speaking up” by low-power members is not sufficient to create changes that benefit them and their low-power colleagues; that, in fact, speaking up when the team is not ready to listen results in... View Details

February 2024
Module Note

Data-Driven Marketing in Retail Markets

By: Ayelet Israeli

This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... 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

May 2021
Article

The Firm Next Door: Using Satellite Images to Study Local Information Advantage

By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong

We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level... View Details

Keywords: Satellite Images; Store-level Performance; Institutional Investors; Local Advantage; Overweighting; Processing Costs; Alternative Data; Big Data; Emerging Technologies; Information; Quality; Institutional Investing; Decision Making; Behavioral Finance; Analytics and Data Science

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December 2018 (Revised April 2020)
Case

Fluidity: The Tokenization of Real Estate Assets

By: Marco Di Maggio, David Lane and Susie Ma

In December 2018, the blockchain startup Fluidity was about to participate in its first tokenization deal, which would create digital access to property rights in a 12-unit Manhattan condominium complex. The deal was proof-of-concept for Fluidity, which hoped to... View Details

Keywords: Blockchain; Tokenization; Data Security; Revenue Model; Finance; Technological Innovation; Strategy

May 2024 (Revised January 2025)
Technical Note

Education Technology: A Technical Note

By: Boris Groysberg

This note considers educational technology as it intersects with HR technology. View Details

Keywords: Edtech; HR; AI; Data Science; Competency and Skills; Talent and Talent Management; Human Resources; Personal Development and Career; Education Industry; Technology Industry; United States

22 Jul 2014
News

To Fix Health Care, Let Go of the Status Quo

Keywords: healthcare; innovation; entrepreneurship; big data; Ambulatory Health Care Services; Health, Social Assistance

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

January 2021 (Revised March 2021)
Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

Article

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström

Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details

Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science

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01 Apr 2002
News

Professorship Brings Brierley's HBS Connection Full Circle

writing finance cases, Brierley also volunteered to help his college fraternity find a vendor to automate its 150,000 membership records. Failing to find a specialist in the membership record-keeping arena, and recognizing an opportunity, he and Thomas O. Jones (MBA... View Details

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

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

01 Dec 1999
News

The Way You See It

In response to a special Bulletin survey, hundreds of HBS alumni selected the people, products, and events that in their view have most affected business over the last 75 years. These intrepid respondents also did some crystal-ball gazing, hazarding predictions for... View Details

Keywords: Garry Emmons. Data collection by Ericka Webb.

Research Summary

Overview

By: Ayelet Israeli

Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details

Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data

2020
Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang

We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details

Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science

SSRN

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Forthcoming
Article

FinTech Lending and Cashless Payments

By: Pulak Ghosh, Boris Vallée and Yao Zeng

Borrower's use of cashless payments both improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment... View Details

Keywords: Fintech; Lending; Payments; Data Sharing; Financing and Loans; Information Technology; Banks and Banking; Business Model

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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July 2013
Case

Sample6: Innovating to Make Food Safer

By: Robert F. Higgins and Kirsten Kester

Tim Curran, CEO of Sample6, a start-up biotechnology company developing a novel food safety diagnostics platform, must decide how to partner with food industry players. How can he best convince leaders in this mature industry to adopt a new technology and improve food... View Details

March 2021
Supplement

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details

Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States