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2023
Working Paper

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details

Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills

May–June 2024
Article

Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details

Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career

October 2017
Case

Quantopian: A New Model for Active Management

By: Sara Fleiss, Adi Sunderam, Luis M. Viceira and Caitlin Carmichael

Keywords: Big Data; Hedge Fund; Crowdsourcing; Investment Fund; Quantitative Hedge Fun; Algorithmic Data; Analytics and Data Science

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli

06 Feb 2018
Working Paper Summaries

Subjectivity in Tournaments: Implicit Rewards and Penalties and Subsequent Performance

Keywords: by Wei Cai and Susanna Gallani; Manufacturing

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

Find at Harvard

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

November 2021
Article

Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective

By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard

In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details

Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods

April 2015 (Revised March 2017)
Case

Instacart and the New Wave of Grocery Startups

By: John Deighton and Leora Kornfeld

Instacart is testing an Uber-style solution to the challenge of building a home-delivered grocery business. It is backed by $220 million of venture funding. Will this model succeed where businessses like Webvan failed? What are the questions that this exploratory... View Details

Keywords: Food Retailing; Outsourced Grocery Delivery; Online Ordering; Dynamic Pricing; Data Analytics; Marketing Strategy; Food; Distribution Channels; Business Startups; Food and Beverage Industry; California

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,... View Details

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

2017
Working Paper

Lessons Unlearned? Corporate Debt in Emerging Markets

By: Laura Alfaro, Gonzalo Asis, Anusha Chari and Ugo Panizza

This paper documents a set of new stylized facts about leverage and financial fragility for emerging market firms following the Global Financial Crisis (GFC). Corporate debt vulnerability indicators during the Asian Financial Crisis (AFC) attributed to corporate... View Details

Keywords: Corporate Debt; Financial Fragility; Firm-level Data; Large Firms; Emerging Markets; Borrowing and Debt; Corporate Finance; Financial Condition

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

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; Beauty and Cosmetics Industry

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

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... View Details

Keywords: Garry Emmons. Data collection by Ericka Webb.

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

17 Nov 2016
News

Rent the Runway Sets Up Shop at Neiman Marcus

(WSJ photo illustration) (WSJ photo illustration) The online fashion innovator Rent the Runway—brainchild of Jennifer Hyman and Jennifer Fleiss (both MBA 2009)—is continuing to go brick-and-mortar. The Wall Street Journal details the new... 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; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States

January 2025 (Revised March 2025)
Case

Thomas Müller: Mr. Bayern Munich

By: Boris Groysberg, Sascha L. Schmidt, Alexander Liebhart and Sarah Abbott

In 2024, FC Bayern Munich superstar Thomas Müller announced his retirement from German national football. His contract with Bayern Munich runs through the end of the 2024-25 season. In 2025, Müller reflects on his long career in football, on the skills that have driven... View Details

Keywords: Soccer; Football; Data Science And Analytics Management; Bundesliga; Sports Data; ＂Sports Organizations,; Career Changes And Transitions; Career Management; Retirement Transition; Skills Development; Analysis; Competency and Skills; Decision Making; Performance; Personal Development and Career; Retirement; Transition; Sports Industry; Germany

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

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