Data - Publications - Faculty & Research

Research Summary

Overview

The overarching goal of my research is to produce works that are influential and informative to both academics and practitioners in the field of operations management. To accomplish this, I collaborate with industry partners who provide knowledge about their field,... View Details

05 Feb 2021
News

Why Is It So Hard to Become a Data-Driven Company?

14 May 2020
News

Is Your Marketing Strategy Based on the Right Data?

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Geographic Information Systems (GIS) Tools

What GIS resources are available to Harvard affiliates? Harvard provides access to several tools that allow you to map data: SimplyAnalytics: web-based mapping tool that incorporates market research data from Experian... View Details

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

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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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2023
Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson

We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details

Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science

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Resources for Harvard Economics Students

A series of resources, tips and FAQs to support Harvard economics doctoral students, senior thesis writers and econ concentrators navigating Baker Library financial data resources. Which databases can I use... View Details

Risks, Opportunities, And Investments In The Era Of Climate Change (ROICC)

The MBA course on "Risks, Opportunities, and Investments in an Era of Climate Change" is ideal for students who aspire to become entrepreneurs by starting their own company or joining a start-up that is driving innovation and solving challenges posed by climate change.... View Details

October 1994
Article

When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior

By: R. S. Winer, R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon and A. Mitchell

Keywords: Analytics and Data Science; Consumer Behavior; Decision Choices and Conditions

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Historical wages by industry

Where do I find historical data on wages for a US industry? US data is available from the Bureau of Labor Statistics. International data is available from the View Details

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Global Industry Bubble Watch - Behavioral Finance & Financial Stability

Data Global Industry Bubble Watch Download Data Set in Excel View Sector: Consumer Discretionary Consumer Discretionary Consumer Staples Energy Financials Healthcare Industrials Information Technology... View Details

28 Jun 2017
Research & Ideas

Minimum Wage Hikes Drive (Lousy) Restaurants Out of Business

are the largest employer of minimum wage workers but also because they have a fairly high turnover rate—about 5 percent of restaurants go out of business each year. Using data obtained from Yelp, the researchers looked at reviews of about... View Details

Keywords: by Dina Gerdeman; Food & Beverage

February 2011
Supplement

Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)

By: Dennis Campbell and Francisco de Asis Martinez-Jerez

Datasets of gaming and hotel customers to perform analysis for the case. View Details

Keywords: Analytics and Data Science; Games, Gaming, and Gambling; Las Vegas

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15 Dec 2024
News

Forward Thinking

You can ask the internet anything, but getting an answer via generative artificial intelligence consumes about 10 times more electricity than a traditional Google search. Consequently, the data centers where AI tools are trained and run... View Details

Keywords: Janine White; Illustrations by Richard Borge; Electric Power Generation, Transmission, Distribution; Utilities

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Company demographics by size and state

Where can I find statistics on US businesses by size and state? The Small Business Administration's Office of Advocacy Data on Small Businesses curates a list of sources for View Details

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Pitchbook | Baker Library

10 daily and 25 monthly rows of data downloads. Profile views are limited to 250 per day. Faculty and staff with Harvard University account codes can purchase additional data download capabilities of 1000... View Details

2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

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