Publications

June 2022
Article

Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation

By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani

The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details

Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing

July 2006
Article

Bringing History (Back) into International Business

By: G. Jones and Tarun Khanna

We argue that the field of international business should evolve its rhetoric from the relatively uncontroversial idea that 'history matters' to exploring how it matters. We discuss four conceptual channels through which history matters, illustrating each with a major... View Details

January 2014
Article

Pareto Efficiency in Robust Optimization

By: Dan Iancu and Nikolaos Trichakis

This paper formalizes and adapts the well-known concept of Pareto eﬃciency in the context of the popular robust optimization (RO) methodology for linear optimization problems. We argue that the classical RO paradigm need not produce solutions that possess the... View Details

Keywords: Robust Optimization; Pareto Optimality; Resource Allocation; Game Theory

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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07 Jul 2008
Research & Ideas

Innovation Corrupted: How Managers Can Avoid Another Enron

quarter of 2001 by more than $1 billion. The government also claimed that the Raptors did not hold the required amount of independent equity, thereby invalidating their purpose. An examiner appointed by the bankruptcy court claimed even larger-scale violations of View Details

Keywords: by Martha Lagace; Energy; Utilities

2009
Article

Modeling Expert Opinions on Food Healthfulness: A Nutrition Metric

By: Jolie M. Martin, John Beshears, Katherine L. Milkman, Max H. Bazerman and Lisa Sutherland

Research over the last several decades indicates the failure of existing nutritional labels to substantially improve the healthiness of consumers' food and beverage choices. The difficulty for policy-makers is to encapsulate a wide body of scientific knowledge in a... View Details

Keywords: Judgments; Food; Nutrition; Labels; Knowledge Use and Leverage; Demand and Consumers; Measurement and Metrics; Mathematical Methods

Teaching Interest

Digital Marketing Strategy

By: John A. Deighton

When the tools of marketing change, strategies change too. The focus of this course is on firms trying to navigate the transition from offline to online market-making and strategy development. Our concern is primarily with corporations that have products and... View Details

05 Jul 2006
Working Paper Summaries

A Survey-Based Procedure for Measuring Uncertainty or Heterogeneous Preferences in Markets

Keywords: by Pai-Ling Yin; Technology; Web Services

2016
Article

Penalized Fast Subset Scanning

By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill

We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details

Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods

Purchase

Research Summary

Growth and the Quality of Foreign Direct Investment: Is All FDI Equal? (joint with Andrew Charlton)

By: Laura Alfaro

In this paper we distinguish different qualities of FDI to re-examine the relationship between FDI and growth. Establishing the quality of FDI, however, is a difficult concept. Quality, that is the effect of a unit of FDI on economic growth, is a combination and... View Details

Fall 2012
Article

How 'Big Data' Is Different

Many people today in the information technology world and in corporate boardrooms are talking about "big data." Many believe that, for companies that get it right, big data will be able to unleash new organizational capabilities and value. But what does the term "big... View Details

Keywords: Big Data; Analytics; Mathematical Methods; Information Management; Information Technology Industry

November 2004 (Revised March 2007)
Case

10 Uncommon Values®: Optimizing the Stock-Selection Process

By: Paul M. Healy and Boris Groysberg

In 2003, Steve Hash, research director at Lehman Brothers, prepared to initiate the firm's "Ten Uncommon Values" stock-picking process for the year. An investment committee had to pick the 10 best stocks from about 100 stock ideas presented by the firm's analysts. The... View Details

Keywords: Stocks; Investment; Financial Strategy; Decision Making; Groups and Teams; Financial Services Industry; United States

Educators

Purchase

2020
Working Paper

Iterative Coordination and Innovation

By: Sourobh Ghosh and Andy Wu

Agile management practices from the software industry continue to transform the way organizations innovate across industries, yet they remain understudied in the organizations literature. We investigate the widespread Agile practice of iterative coordination: frequent... View Details

Keywords: Innovation; Goals; Specialization; Coordination; Field Experiment; Software Development; Organizations; Collaborative Innovation and Invention; Goals and Objectives; Integration; Software

2023
Working Paper

Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network

By: Ebehi Iyoha

This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches.... View Details

Keywords: Supply and Industry; Partners and Partnerships; Production

2015
Working Paper

Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities

By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and Cesar Hidalgo

Urban change involves transformations in the physical appearance and the social composition of neighborhoods. Yet, the relationship between the physical and social components of urban change is not well understood due to the lack of comprehensive measures of... View Details

Keywords: Demographics; Urban Development; Change; Economics

29 Jan 2009
Working Paper Summaries

An Exploration of the Japanese Slowdown during the 1990s

Keywords: by Diego A. Comin

2024
Working Paper

Does the Case for Private Equity Still Hold?

By: Nori Gerardo Lietz and Philipp Chvanov

Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details

Keywords: Private Equity; Investment Return; Investment Portfolio; Financial Markets

SSRN

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