Data Analytics - Publications - Faculty & Research - Harvard Business School

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2009
Case

What People Want (and How to Predict It)

By: Thomas H. Davenport and Jeanne G. Harris

Historically, neither the creators nor the distributors of cultural products such as books or movies have used analytics -- data, statistics, predictive modeling -- to determine the likely success of their offerings. Instead, companies relied on the brilliance of... View Details

Keywords: Product Development; Creativity; Customer Satisfaction; Forecasting and Prediction; Markets; Business Model; Publishing Industry; Motion Pictures and Video Industry

08 Aug 2023
Research & Ideas

The Rise of Employee Analytics: Productivity Dream or Micromanagement Nightmare?

employees. The term emerged in the early 2000s as computers, data storage, and the internet grew faster and more capable. In its most basic form, people analytics is defined as taking a “data-driven approach... View Details

Keywords: by Ben Rand

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

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October 2002
Exercise

Luster Paint Corporation, The

By: Janice H. Hammond

Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details

Keywords: Forecasting and Prediction; Analytics and Data Science; Management Practices and Processes; Demand and Consumers; Mathematical Methods

November 2018
Article

Global Evidence on Economic Preferences

By: Armin Falk, Anke Becker, Thomas Dohmen, Benjamin Enke, David Huffman and Uwe Sunde

This article studies the global variation in economic preferences. For this purpose, we present the Global Preference Survey (GPS), an experimentally validated survey data set of time preference, risk preference, positive and negative reciprocity, altruism, and trust... View Details

Keywords: Economic Preferences; Economics; Behavior; Surveys; Analytics and Data Science; Global Range

February 2021
Article

Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning

By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio

The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy

21 Jul 2008
Research & Ideas

Solving the Marketing Resources Allocation Puzzle

is happening that makes these tools less effective today? A: Companies have always spent a great deal of money on marketing, but data have not always been available to determine whether this money has been spent wisely. Companies may have... View Details

Keywords: by Sean Silverthorne

January 2021
Article

Using Models to Persuade

By: Joshua Schwartzstein and Adi Sunderam

We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details

Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework

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2017
Working Paper

Inventory Management for Mobile Money Agents in the Developing World

By: Karthik Balasubramanian, David F. Drake and Douglas Fearing

Mobile money systems, platforms built and managed by mobile network operators to allow money to be stored as digital currency, have burgeoned in the developing world as a mechanism to transfer money electronically. Mobile money agents exchange cash for electronic value... View Details

Keywords: Currency; Mobile Technology; Market Platforms; Developing Countries and Economies

April 2017
Teaching Note

Basecamp: Pricing

By: Frank V. Cespedes

This Teaching Note accompanies HBS No. 817-067 “Basecamp: Pricing” in which a data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture's latest version of its project management software product. View Details

Keywords: Analytics and Data Science; Price; Analysis; Customers; Product Marketing

2016
Working Paper

Innovating in Science and Engineering or 'Cashing In' on Wall Street? Evidence on Elite STEM Talent

By: Pian Shu

Using data on MIT bachelor's graduates from 1994 to 2012, this paper empirically examines the extent to which the inflow of elite talent into the financial industry affects the supply of innovators in science and engineering (S&E). I first show that finance does not... View Details

Keywords: Higher Education; Engineering; Personal Development and Career; Science; Finance

2015
Report

Clusters and Regional Economies: Implications for the Great Lakes - St. Lawrence Region

By: Christian H.M. Ketels

The Great Lakes – St. Lawrence Region, covering eight U.S. states and two Canadian provinces located around the lakes and waterways that have given this region its name, is what economic developers call a 'macro region'. It is an area of intensive economic interaction... View Details

Keywords: Clusters; Regional Policy; Great Lakes; Economic Development; Industry Clusters; Economy; Canada; United States

Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details

Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics

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September 2019 (Revised May 2021)
Case

pymetrics: International Expansion

By: John R. Wells and Benjamin Weinstock

In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details

2012
Book

The Culture Cycle: How to Shape the Unseen Force That Transforms Performance

By: James Heskett

The contribution of culture to organizational performance is both substantial and quantifiable. This book presents the results of field research that demonstrates how an effective culture can account for up to half of the differential in performance between... View Details

Keywords: Customer Focus and Relationships; Learning; Framework; Policy; Retention; Books; Analytics and Data Science; Innovation and Invention; Management Practices and Processes; Organizational Culture; Performance Expectations; Research

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2019
Working Paper

Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

By: Thomas Bossuroy, Clara Delavallade and Vincent Pons

Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details

Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India

2022
Article

OpenXAI: Towards a Transparent Evaluation of Model Explanations

By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju

While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details

Keywords: Measurement and Metrics; Analytics and Data Science

Web

Curriculum - MBA

curriculum, students build a solid, broad foundation of general management concepts and skills across all the key disciplines. Required Curriculum Data Science for Manager (DSM) Finance 1 (FIN1) Financial Reporting and Control (FRC)... View Details

May 2013
Teaching Note

Launching Krispy Natural: Cracking the Product Management Code (Brief Case)

By: Frank V. Cespedes and Heather Beckham

This case study concerns a review and interpretation of test market results for a new packaged good product. The purpose of the case is to provide students with practice and guidelines in the analysis of quantitative test market data while illustrating the roles of... View Details

Keywords: Analytics and Data Science; Analysis; Product Marketing

2024
Chapter

Inflation and Misallocation in New Keynesian Models

By: Alberto Cavallo, Francesco Lippi and Ken Miyahara

The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details

Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost

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