Publications

Educators

May 2010
Article

Bye Bye Bundles: The Unbundling of Music in Digital Channels

By: Anita Elberse

Fueled by digital distribution, unbundling is prevalent in many information industries. What is the effect of this unbundling on sales? And what bundle characteristics drive this effect? I empirically examine these questions in the context of the music industry, using... View Details

Keywords: Unbundling; Bundling; Digital Distribution; System-of-equations Modeling; Sales; Distribution Channels; Framework; Mathematical Methods; Revenue; Reputation; Internet and the Web; System; E-commerce; Information Industry; Music Industry

October 2007
Article

The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market

By: Anita Elberse and Bharat N. Anand

One of the most visible and publicized trends in the movie industry is the escalation in movie advertising expenditures over time. Yet, the returns to movie advertising are poorly understood. The main reason is that disentangling the causal effect of advertising on... View Details

Keywords: Advertising; Stocks; Investment Return; Price; Revenue; Quality; Mathematical Methods; Motion Pictures and Video Industry

Read Now

2022
Article

Values and Inequality: Prosocial Jobs and the College Wage Premium

By: Nathan Wilmers and Letian Zhang

Employers often recruit workers by invoking corporate social responsibility, organizational purpose, or other claims to a prosocial mission. In an era of substantial labor market inequality, commentators typically dismiss these claims as hypocritical: prosocial... View Details

Keywords: Corporate Social Responsibility and Impact; Equality and Inequality; Wages; Recruitment

October 2015
Case

BandPage (A)

By: Karim R. Lakhani, Colin Maclay and Greta Friar

BandPage CEO James "J" Sider is about to receive results from BandPage's targeted advertising campaign on music streaming service Rhapsody and learn whether BandPage's strategy to improve ad click through rates and generate revenue has succeeded. BandPage, which began... View Details

Keywords: Digital Innovation; Digital Music; Digital Marketing; Mobile Marketing; Technological Innovation; Marketing Communications; Music Entertainment; Mobile Technology; Music Industry

Educators

May 2021
Simulation

Customer Compatibility Exercise Application

By: Ryan W. Buell

Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details

Keywords: Customer Compatibility; Customer Relationship Management; Strategy; Service Operations; Service Delivery; Performance Efficiency; Analysis; Consumer Behavior; Analytics and Data Science

21 Aug 2012
First Look

First Look: August 21

opportunity for the HBS MBA program. The case presents data on the HBS MBA program, including career and professional development statistics so that students are able to assess the cost of receiving an HBS MBA, and they are able to... View Details

Keywords: Sean Silverthorne

05 Nov 2013
First Look

First Look: November 5

investigates the effect of social ties between acquirers and targets on merger performance. Using data on educational background and past employment, we construct a measure of the extent of cross-firm social connection between directors... View Details

Keywords: Sean Silverthorne

April 2021
Article

A Model of Multi-Pass Search: Price Search Across Stores and Time

By: Navid Mojir and K. Sudhir

In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details

Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods

SSRN

October 2018
Article

The Operational Value of Social Media Information

By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang

While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details

Keywords: Machine Learning; Information; Sales; Forecasting and Prediction; Social Media

Winter 2021
Editorial

Introduction

By: Michael A. Wheeler

This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details

Keywords: Artificial Intelligence; Information Technology; Negotiation; AI and Machine Learning

August 2019
Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek

Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details

Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods

July 2019
Article

'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity

By: Kurt Gray, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett and Kevin Lewis

When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined... View Details

Keywords: Cognition and Thinking; Creativity; Forecasting and Prediction

25 Apr 2023
Op-Ed

How SHEIN and Temu Conquered Fast Fashion—and Forged a New Business Model

the world. But SHEIN is much more than an online marketer for these factories. What SHEIN contributes to make the platform hum is remarkable sensitivity to the fashion tastes of its consumers. It monitors what trendsetters wear on social... View Details

Keywords: by John Deighton; Fashion; Retail; Consumer Products

21 Jan 2014
First Look

First Look: January 21

these features may also facilitate discrimination based on sellers' race, gender, age, or other aspects of appearance. In this paper, we test for racial discrimination against landlords in the online rental marketplace Airbnb.com. Using a... View Details

Keywords: Sean Silverthorne

23 Sep 2008
First Look

First Look: September 23, 2008

Working PapersSecuring Online Advertising: Rustlers and Sheriffs in the New Wild West Author:Benjamin G. Edelman Abstract Read the news of recent computer security guffaws, and it's striking how many problems stem from View Details

Keywords: Martha Lagace

05 Feb 2024
Research & Ideas

The Middle Manager of the Future: More Coaching, Less Commanding

to connect groups with disparate skills—like engineering, sales, and market analysis—at key points in a project. Extensive analysis of job postings Zhang bases his conclusions on a unique linguistic analysis of more than 34 million online... View Details

Keywords: by Ben Rand

2024
Working Paper

The Cram Method for Efficient Simultaneous Learning and Evaluation

By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li

We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details

Keywords: AI and Machine Learning