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  • 2021
  • Working Paper

Time and the Value of Data

By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
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  • July – August 2011
  • Article

Foundations of Organizational Trust: What Matters to Different Stakeholders?

By: Michael Pirson and Deepak Malhotra
Prior research on organizational trust has not rigorously examined the context specificity of trust nor distinguished between the potentially varying dimensions along which different stakeholders base their trust. As a result, dominant conceptualizations of... View Details
Keywords: Trust; Competency and Skills; Forecasting and Prediction; Ethics; Framework; Analytics and Data Science; Surveys; Organizations; Business and Stakeholder Relations; Identity; Perspective
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  • March–April 2023
  • Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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  • 09 Jan 2024
  • In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

crowdsource diverse viewpoints and innovative solutions to their most complex solutions. Take the Netflix challenge. In 2006, Netflix launched an open competition for the best collaborative filtering algorithm to predict user ratings for... View Details
Keywords: by Rachel Layne; Information Technology
  • January 2018
  • Article

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details
Keywords: Analytics and Data Science; Urban Scope; City
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  • June 2023
  • Article

How New Ideas Diffuse in Science

By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland
What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details
Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science
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  • 2012
  • Working Paper

~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

By: Matthew Weinzierl
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
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  • Web

Technology & Operations Management - Faculty & Research

and Analytic Sample: The Mayo Clinic of Arizona Emergency Department recorded approximately 50,836 visits, all randomly assigned to physicians during the study period. After excluding rare complaints, we were left with an View Details
  • 26 May 2015
  • First Look

First Look: May 26

successfully unified all analytics talent and resources into one group over a three-year period. Rapid increases in computing power and decreases in data storage costs had enabled DA2's data architects to build View Details
Keywords: Sean Silverthorne
  • July 2023
  • Article

Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science
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  • Forthcoming
  • Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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  • Web

Human Behavior & Decision-Making - Faculty & Research

reward processing in humans. These techniques have revealed that evolutionarily conserved circuits related to affect generate distinguishable appetitive and consummatory signals, and that these signals can be used to predict choice and... View Details
  • 2017
  • Working Paper

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details
Keywords: Economy; Analytics and Data Science; Local Range; Social and Collaborative Networks
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  • Web

Marketing - Faculty & Research

predict behaviors driving long-term customer value. Using data from a free-to-play mobile game with dynamic difficulty adjustments, MRSR demonstrates significant improvements, increasing 30-day in-game currency spending by 37% compared to... View Details
  • February 2021
  • Case

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is... View Details
Keywords: Digital Technologies; Change; Change Management; Decision Making; Cost vs Benefits; Decisions; Information; Analytics and Data Science; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Jobs and Positions; Knowledge; Leadership; Organizational Culture; Science; Strategy; Information Technology; Technology Adoption; Biotechnology Industry; Pharmaceutical Industry; United States; California; Puerto Rico; Rhode Island
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  • 26 Oct 2010
  • First Look

First Look: October 26, 2010

set of analytic and practical challenges arises, which this article explores via three cases: 1) a cross-border, large-dollar complex sales effort requiring interlocking financial, political, and organizational negotiations among dozens... View Details
Keywords: Sean Silverthorne
  • 07 Feb 2022
  • Research & Ideas

Digital Transformation: A New Roadmap for Success

described the proliferation of "digital positions" in their companies, from Digital Project Manager or Digital Director to Chief Transformation Officer or Chief Innovation Officer. In one roundtable discussion, participants predicted... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
  • 18 Apr 2017
  • First Look

First Look at New Ideas, April 18

interest rates than predicted by the standard expectations hypothesis. We find that, since 2000, such high-frequency "excess sensitivity" remains evident in U.S. data and has, if anything, grown stronger. By contrast, the positive... View Details
Keywords: by Sean Silverthorne
  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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  • Web

Podcast - Business & Environment

changing the agricultural sector, offering solutions ranging from crop yield prediction to regenerative farming practices. Alyssa also shares insights into Harvest SARA, a nonprofit she founded to foster collaboration between public and... View Details