Publications

22 Dec 2015
News

Algorithms Need Managers, Too

May 2021 (Revised February 2024)
Teaching Note

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

By: Ayelet Israeli and Jill Avery

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; 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

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement... View Details

February 2018 (Revised December 2020)
Case

People Analytics at Teach For America (A)

By: Jeffrey T. Polzer and Julia Kelley

As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former... View Details

Keywords: Recruitment; Selection and Staffing; Analysis; Forecasting and Prediction

April 2003 (Revised December 2006)
Case

ZARA: Fast Fashion

By: Pankaj Ghemawat and Jose Luis Nueno

Focuses on Inditex, an apparel retailer from Spain, which has set up an extremely quick response system for its ZARA chain. Instead of predicting months before a season starts what women will want to wear, ZARA observes what's selling and what's not and continuously... View Details

Keywords: Organizational Change and Adaptation; Multinational Firms and Management; Competitive Advantage; Manufacturing Industry; Apparel and Accessories Industry; Retail Industry; Spain

09 Mar 2021
Working Paper Summaries

Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement

Keywords: by George Serafeim and Aaron Yoon; Financial Services

2011
Chapter

Prospective Codes Fufilled: A Potential Neural Mechanism of Will

By: Thalia Wheatley and Christine E. Looser

One of my few shortcomings is that I can’t predict the future.
Lars Ulrich, Metallica.

Lars Ulrich was right and wrong. He was right in the way we most often think about the future—as a long stretch of time during which multiply... View Details

Keywords: Free Will; Neuroscience; Responsibility; Prospection; Forecasting and Prediction; Science; Cognition and Thinking

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2021
Working Paper

Entrepreneurial Learning and Strategic Foresight

By: Aticus Peterson and Andy Wu

We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details

Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning

06 Oct 2008
Research & Ideas

Updating a Classic: Writing a Great Business Plan

business plan and its relation to new venture formation. I tried to explain that a business plan can't be a tightly crafted prediction of the future but rather a depiction of how events might unfold and a road map for change. I emphasized... View Details

Keywords: by Sean Silverthorne

05 Dec 2012
What Do You Think?

Should Managers Bother Listening to Predictions?

Summing Up Can Managers Afford to Ignore Predictions in Planning? There is a healthy skepticism when it comes to the reliability of predictions as a basis for planning. Donald Kortalon, commenting on this... View Details

Keywords: by James Heskett

August 2006
Article

Investor Sentiment and the Cross Section of Stock Returns

By: Malcolm Baker and Jeffrey Wurgler

We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by... View Details

Keywords: Behavioral Finance; Stocks; Investment Return; Forecasting and Prediction; Motivation and Incentives; Risk and Uncertainty; Volatility

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February 2006 (Revised September 2007)
Background Note

Winner-Take-All in Networked Markets

By: Thomas R. Eisenmann

Discusses platform structure in new networked markets, that is, whether a market that exhibits network effects will be served by a single platform or by rival platforms. Defines "platforms" and "platform structure"; describes factors that influence the odds that a... View Details

Keywords: Forecasting and Prediction; Growth Management; Network Effects; Digital Platforms; Internet and the Web

October 2002 (Revised May 2021)
Case

Group Process in the Challenger Launch Decision (A)

By: Amy C. Edmondson and Laura Feldman

The night before the launch of the Challenger shuttle, officials from Morton Thiokol (Solid Rocket Booster manufacturer) and NASA participated in a teleconference to discuss whether to postpone the shuttle launch due to predicted low temperatures at Kennedy Space... View Details

Keywords: Process Analysis; Problems and Challenges; Groups and Teams; Engineering; Risk Management; Analysis; Decision Making; Aerospace Industry; United States

2018
Working Paper

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck

Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details

Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets

SSRN

2005
Working Paper

Investor Sentiment and the Cross-Section of Stock Returns

By: Malcolm Baker and Jeffrey Wurgler

We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by studying... View Details

Keywords: Investment Return; Behavioral Finance; Stocks; Theory; Forecasting and Prediction

2009
Article

Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model

By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske

The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both... View Details

Keywords: Competency and Skills; Mathematical Methods; Emotions; Personal Characteristics; Prejudice and Bias; Status and Position; Culture; Competition

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2021
Working Paper

Equilibrium Effects of Pay Transparency

By: Zoë B. Cullen and Bobak Pakzad-Hurson

The public discourse around pay transparency has focused on the direct effect: how workers seek to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting and hiring practices of the firm respond in equilibrium has received... View Details

Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Negotiation; Corporate Disclosure; Compensation and Benefits; Gender