Publications

Publications

Filter Results: (364) Arrow Down

Show Results For

← Page 9 of 364 Results →
  • April 2008
  • Article

The Survey of Industrial R&D—Patent Database Link Project

By: William R. Kerr and Shihe Fu
This paper details the construction of a firm-year panel dataset combining the NBER Patent Dataset with the Survey of Industrial R&D conducted by the Census Bureau and National Science Foundation. The dataset constitutes a platform that offers an unprecedented view of... View Details
Keywords: Analytics and Data Science; Patents; Surveys; Research and Development; Innovation and Invention; Performance Productivity; Projects; Management Practices and Processes; Management Analysis, Tools, and Techniques
Related
  • 2016
  • Working Paper

Foreign Competition and Domestic Innovation: Evidence from U.S. Patents

By: David Autor, David Dorn, Gordon H. Hanson, Pian Shu and Gary Pisano
Manufacturing is the locus of U.S. innovation, accounting for more than three quarters of U.S. corporate patents. The rise of import competition from China has represented a major competitive shock to the sector, which in theory could benefit or stifle innovation. In... View Details
Keywords: Patents; Competition; System Shocks; Trade; Innovation and Invention; Manufacturing Industry; China; United States
Related
  • 09 Dec 2015
  • Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

How can a retailer use its own data to determine what to charge for products it has never sold before? That’s a question Kris Ferreira considered during a presentation at Future Assembly, an event at Harvard Business School where business... View Details
Keywords: by Carmen Nobel; Retail; Apparel & Accessories
  • December 2016
  • Article

Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud

By: Michael Luca and Georgios Zervas
Consumer reviews are now part of everyday decision making. Yet, the credibility of these reviews is fundamentally undermined when businesses commit review fraud, creating fake reviews for themselves or their competitors. We investigate the economic incentives to commit... View Details
Keywords: Ethics; Marketing Reference Programs
Related
  • 2015
  • Working Paper

Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud

By: Michael Luca and Georgios Zervas
Consumer reviews are now part of everyday decision-making. Yet, the credibility of these reviews is fundamentally undermined when businesses commit review fraud, creating fake reviews for themselves or their competitors. We investigate the economic incentives to commit... View Details
Keywords: Information; Competition; Internet and the Web; Ethics; Reputation; Social and Collaborative Networks; Retail Industry; Food and Beverage Industry
Related
  • 21 Sep 2023
  • HBS Seminar

Pinar Ozcan, Saïd Business School

  • 08 Aug 2023
  • Research & Ideas

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

With more data available than ever before, why would any executive gamble on a hunch—especially for decisions that involve their own employees? An emerging field that uses data to study human behavior at... View Details
Keywords: by Ben Rand
  • 2021
  • Article

To Thine Own Self Be True? Incentive Problems in Personalized Law

By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
Related
  • 2014
  • Working Paper

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
Related
  • 18 Feb 2025
  • HBS Seminar

Andrey Simonov, Columbia University

  • 2023
  • Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Keywords: Mathematical Methods; Analytics and Data Science
Related
  • January 2021
  • Case

Anodot: Autonomous Business Monitoring

By: Antonio Moreno and Danielle Golan
Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product... View Details
Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel
Related
  • Article

Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials

By: Caroline Marra, William J. Gordon and Ariel Dora Stern
Objectives: In an effort to mitigate COVID-19 related challenges for clinical research, the U.S. Food and Drug Administration (FDA) issued new guidance for the conduct of ‘virtual’ clinical trials in late March 2020. This study documents trends in the use of... View Details
Keywords: Connected Digital Products; Telehealth; Remote Monitoring; Health Testing and Trials; Research; Governing Rules, Regulations, and Reforms; Information Technology
Related
  • 06 Oct 2015
  • First Look

October 6, 2015

2015 University of Chicago Press Economic Analysis of the Digital Economy By: Goldfarb, Avi, Shane Greenstein, and Catherine Tucker, eds. Abstract—As the cost of storing, sharing, and analyzing data has decreased, economic activity has... View Details
Keywords: Sean Silverthorne
  • 17 Jun 2014
  • First Look

First Look: June 17

https://www.hbs.edu/faculty/Pages/download.aspx?name=14-070.pdf Search Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches By: Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang Abstract—Applying a "co-search" View Details
Keywords: Sean Silverthorne
  • 11 Apr 2016
  • HBS Seminar

Pian Shu, Harvard Business School

  • 26 Sep 2017
  • First Look

First Look at New Research and Ideas, September 26, 2017

predict changes in the number of overall establishments and restaurants in County Business Patterns. Contemporaneous and lagged Yelp data can generate an algorithm that is able to explain 29.2% of the... View Details
Keywords: Sean Silverthorne
  • 09 Jan 2024
  • In Practice

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

growing impact on job roles, salary structures, and how companies are organized and managed. This transformation will bring new opportunities but also challenges in adapting to a rapidly changing work environment. Data and View Details
Keywords: by Rachel Layne; Information Technology
  • 26 Mar 2024
  • Research & Ideas

How Humans Outshine AI in Adapting to Change

the flexibility of AI versus humans in adjusting to new situations, the authors set up four video games, outlining certain tasks for humans and several popular game-playing AI algorithms to complete. The tasks tested the players’ ability... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 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
Related