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Publications

Publications

Filter Results: (16) Arrow Down
Filter Results: (16) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (16)
    • Research  (14)
    • Events  (1)
  • Faculty Publications  (8)

Show Results For

  • All HBS Web  (16)
    • Research  (14)
    • Events  (1)
  • Faculty Publications  (8)
Page 1 of 16 Results
  • 2022
  • Working Paper

The Evolution of ESG Reports and the Role of Voluntary Standards

By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The percentage of firms releasing these voluntary disclosures increased from 35% to 86% during this period, although the length of these documents experienced more modest growth. Using a... View Details
Keywords: Voluntary Disclosure; Textual Analysis; Modeling And Analysis; Corporate Social Responsibility and Impact; AI and Machine Learning; Accounting
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Rouen, Ethan, Kunal Sachdeva, and Aaron Yoon. "The Evolution of ESG Reports and the Role of Voluntary Standards." Harvard Business School Working Paper, No. 23-024, October 2022.
  • Article

Creating Firm Disclosures

By: Amir Amel-Zadeh, Alexandra Scherf and Eugene F. Soltes
Managers expend significant time and effort preparing disclosures about firm performance and strategy. Although prior literature has explored how variation in the style and presentation of disclosures impacts investors' perceptions of firms, little is known about how... View Details
Keywords: Disclosure; Earnings Conference Call; Field Study; MD&A; Textual Analysis; Corporate Disclosure
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Amel-Zadeh, Amir, Alexandra Scherf, and Eugene F. Soltes. "Creating Firm Disclosures." Journal of Financial Reporting 4, no. 2 (Fall 2019): 1–31.
  • 24 Apr 2019
  • HBS Seminar

Dimitris Papanikolaou, Kellogg School of Management, Northwestern University

  • Article

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
  • May 2025
  • Article

The Diffusion of New Technologies

By: Aakash Kalyani, Marcela Carvalho, Nicholas Bloom, Tarek Hassan, Josh Lerner and Ahmed Tahoun
We identify phrases associated with novel technologies using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development of economically... View Details
Keywords: Technology; Geography; Innovation; R&D; Technological Innovation; Research and Development; Employment; Geographic Location
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Kalyani, Aakash, Marcela Carvalho, Nicholas Bloom, Tarek Hassan, Josh Lerner, and Ahmed Tahoun. "The Diffusion of New Technologies." Quarterly Journal of Economics 140, no. 2 (May 2025): 1299–1365. (Earlier version distributed as National Bureau of Economic Research Working Paper No. 28999 and Harvard Business School Working Paper No. 21-114. Related discussion published as “How Disruptive Technologies Diffuse,” VoxEU, 2021.)
  • 2019
  • Working Paper

Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles

By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: Spoken Communication; Business History; Analytics and Data Science; Finance; Performance
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
  • 2009
  • Case

The Prediction Lover's Handbook

By: Thomas H. Davenport and Jeanne G. Harris
When picking assessment tools to inform better decisions about future paths, executives are faced with a wide variety of options--some of which are well established, while others are in early stages of development. The authors provide an insider's guide to prediction... View Details
Keywords: Analytics; Analysis; Forecasting and Prediction
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Davenport, Thomas H., and Jeanne G. Harris. "The Prediction Lover's Handbook." 2009.
  • Web

Technology & Innovation - Faculty & Research

using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development of economically... View Details
  • 06 Sep 2022
  • Research & Ideas

Does Hybrid Work Actually Work? Insights from 30,000 Emails

country’s nationwide COVID-19 lockdown. The researchers studied employee emails and attachments before and during a nine-week period using machine learning and textual analysis. They supplemented their email View Details
Keywords: by Ben Rand
  • 21 Aug 2019
  • Research & Ideas

What Machine Learning Teaches Us about CEO Leadership Style

expressions of chief executives to see if leadership style can be correlated with a firm’s performance. The researchers believe their work could open new directions in big data analysis, combining image and textual View Details
Keywords: by Michael Blanding
  • 25 Oct 2017
  • Research & Ideas

Will Machine Learning Make You a Better Manager?

good,” says Teodorescu. Much of the earliest applications of machine learning concerned language. At the birth of the field in the 1940s, British mathematician Alan Turing conceived the abstract grammars to analyze texts and describe reasoning. Since then, the field of... View Details
Keywords: by Michael Blanding; Information Technology
  • 02 Jul 2012
  • Research & Ideas

Why Good Deeds Invite Bad Publicity

more favorable coverage when spills were reported—the researchers performed a textual analysis of the newspaper stories, mining the text with software that ranks the tone of the words used in a given story.... View Details
Keywords: by Michael Blanding; Energy
  • 13 Jun 2017
  • First Look

First Look at New Research and Ideas, June 13

May 2017 American Economic Review: Papers and Proceedings Immigration and the Rise of American Ingenuity By: Akcigit, Ufuk, John Grigsby, and Tom Nicholas Abstract—We build on the analysis in Akcigit, Grigsby, and Nicholas (2017) by using... View Details
Keywords: Sean Silverthorne
  • 08 Feb 2016
  • Research & Ideas

The Civic Benefits of Google Street View and Yelp

more frequent basis.” Yelp used to target dirty restaurants In his own work, Luca has applied similar techniques to textual analysis of Yelp reviews to help cities determine which restaurants to inspect.... View Details
Keywords: by Michael Blanding; Consumer Products
  • 02 Oct 2018
  • First Look

New Research and Ideas, October 2, 2018

Office examination process. We randomize assignment of novice patent examiners to each process technology and provision of domain-specific expertise. Our analysis of examiner accuracy and speed in patent adjudication reveals, irrespective... View Details
Keywords: Dina Gerdeman
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