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Publications

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  • All HBS Web  (974)
    • News  (133)
    • Research  (713)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (548)

Show Results For

  • All HBS Web  (974)
    • News  (133)
    • Research  (713)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (548)
← Page 30 of 974 Results →
  • 06 Sep 2022
  • Blog Post

Student Spotlight: Summer Internships in Business & Environment

Energize works in partnership with their portfolio companies to realize their full potential, scaling from early commercialization to growth stage and into the public markets. Jeremy's role prior to HBS was a Customer Success Manager at Oden Technologies, an... View Details
  • 2024
  • Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
  • 16 May 2000
  • Research & Ideas

Getting the Message: How the Internet is Changing Advertising

performance of ads. When surfers are visiting DART-enabled sites, DART tracks 26 criteria—from keywords in searches, to purchases, to time-of-day surfing, to domain name—in order to develop a user profile. DoubleClick then uses this data... View Details
Keywords: by Susan Young
  • Web

Negotiation Course Online | HBS Online

we have a solution for your learning and development needs. Learn More Our Difference Negotiation Mastery emphasizes an understanding of both analytical tools and interpersonal techniques for dealing effectively with different bargaining... View Details
  • October 2001 (Revised October 2017)
  • Case

Store24 (A): Managing Employee Retention

By: Frances X. Frei and Dennis Campbell
Provides a retailing context in which employee retention strategies are explored through analyzing detailed store-level data. View Details
Keywords: Retention; Management Analysis, Tools, and Techniques; Analytics and Data Science; Strategy; Mathematical Methods; Retail Industry
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Frei, Frances X., and Dennis Campbell. "Store24 (A): Managing Employee Retention." Harvard Business School Case 602-096, October 2001. (Revised October 2017.)
  • April 2024
  • Case

Dr. Tom Mihaljevic and Cleveland Clinic

By: Linda A. Hill and Lydia Begag
In December 2022, Dr. Tomislav (“Tom”) Mihaljevic, CEO and President of Cleveland Clinic, was reflecting on the last few years at the hospital, marked both by unprecedented challenges and remarkable achievements. Cleveland Clinic had recently been ranked the world’s... View Details
Keywords: Recruitment; Retention; Analytics and Data Science; Digital Transformation; Digital Platforms; Innovation and Management; Innovation Leadership; Human Capital; Leadership Development; Leadership Style; Leading Change; Organizational Culture; Organizational Structure; Organizational Change and Adaptation; Mission and Purpose; Outcome or Result; Performance Evaluation; Health Pandemics; Goals and Objectives; Health Industry; Cleveland; London; Abu Dhabi; Florida; Ohio
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Hill, Linda A., and Lydia Begag. "Dr. Tom Mihaljevic and Cleveland Clinic." Harvard Business School Case 424-031, April 2024.
  • 2014
  • Working Paper

Team Scaffolds: How Meso-Level Structures Support Role-based Coordination in Temporary Groups

By: Melissa A. Valentine and Amy C. Edmondson
This paper shows how meso-level structures support effective coordination in temporary groups. Prior research on coordination in temporary groups describes how roles encode individual responsibilities so that coordination between relative strangers is possible. We... View Details
Keywords: Fluid Personnel; Team Scaffolds; Team Effectiveness; Role-based Coordination; Multi-method; Health Care and Treatment; Analytics and Data Science; Knowledge Use and Leverage; Organizational Structure; Outcome or Result; Performance Effectiveness; Groups and Teams; Networks; Behavior; Balance and Stability; Health Industry
Citation
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Related
Valentine, Melissa A., and Amy C. Edmondson. "Team Scaffolds: How Meso-Level Structures Support Role-based Coordination in Temporary Groups." Harvard Business School Working Paper, No. 12-062, January 2012. (Revised June 2014.)
  • 01 Dec 2019
  • News

Bridging the Gap

hard to remember a time when they weren’t a regular part of civic conversation. But as Rivkin notes, the data pointed to such concerns long before 2016. “Those of us working on the US Competitiveness Project came to the perspective that... View Details
Keywords: Julia Hanna; illustration by Josh Cochran; photographed by Melissa Golden; cross sector collaboration; local government; nonprofits; education; leadership; Administration of Economic Programs; Government
  • 20 Oct 2010
  • Op-Ed

Export Competitiveness: Reversing the Logic

specific data and econometric approach used (Rodriguez/Rodrik, 2000; Median-Smith, 2001). There are also questions as to whether the relationship between specific trade policy instruments such as tariffs and growth has not been stable... View Details
Keywords: by Christian Ketels
  • 15 Jun 2021
  • News

Leading at State

cases as “The 2010 Chilean Mining Rescue” and “SOFWERX: Innovation at US Special Operations Command,” as well as Karim Lakhani’s work on data analytics and AI. For Carol Perez, now acting under secretary of... View Details
Keywords: leadership; international relations; politics; Executive Education
  • Web

Dean Nitin Nohria | About

postdoctoral scholars. The two-story, 15,000-square-foot facility on Harvard’s Allston campus is a fully-equipped and permitted laboratory and office space for early-stage companies and is adjacent to the Harvard i-lab and Launch Lab. October 2017 Harvard Business... View Details
  • Web

Marketing Awards & Honors - Faculty & Research

Scholar in 2020. Jill J. Avery : Winner of the 2020 Case Centre Award in the Marketing Category for “Predicting Consumer Tastes with Big Data at Gap” (HBS Case 517-115) with Ayelet Israeli. Jill J. Avery : Winner of the 2020 Louis W.... View Details
  • Web

Frequently Asked Questions | HBS Online

from Harvard Business School. Business Analytics introduces quantitative methods used to analyze data and make better management decisions. Participants hone their understanding of key concepts, managerial... View Details
  • 2008
  • Working Paper

Concentration Levels in the U.S. Advertising and Marketing Services Industry: Myth vs. Reality

By: Alvin J. Silk and Charles King III

This paper analyzes changes in concentration levels in the U.S. Advertising and Marketing Services (A&MS) industry using publicly released data that have been largely ignored in past discussions of the industrial organization of this industry, namely those available... View Details

Keywords: Advertising; Mergers and Acquisitions; Revenue; Analytics and Data Science; Surveys; Marketing; Measurement and Metrics; Rank and Position; Competition; Advertising Industry; Service Industry; United States
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Silk, Alvin J., and Charles King III. "Concentration Levels in the U.S. Advertising and Marketing Services Industry: Myth vs. Reality." Harvard Business School Working Paper, No. 09-044, September 2008.
  • 24 Oct 2017
  • First Look

First Look at New Research and Ideas, October 24, 2017

the operations literature that systematically analyze the impact of e-intermediaries are lacking. Our work fills this gap and answers practical questions regarding the responsible operations of e-intermediaries. Methodology: We develop an View Details
Keywords: Sean Silverthorne
  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Privacy Risks of Algorithmic Recourse.” Michael Lingzhi Li : Named Edelman Laureate in 2022 by the Institute for Operations Research and the Management Sciences (INFORMS) for “Data-Driven COVID-19 Vaccine Development for Janssen” ( INFORMS Journal on Applied View Details
  • 20 Nov 2019
  • Research & Ideas

It's No Joke: AI Beats Humans at Making You Laugh

purchasing other relevant products, from movies and books to clothes and food. Global spending on big data and business analytics is expected to increase 12 percent to $189 billion this year, and rise... View Details
Keywords: by Dina Gerdeman
  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions,... View Details
Keywords: by Kristen Senz
  • February 2020 (Revised April 2021)
  • Case

StockX: The Stock Market of Things

By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
Citation
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Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things." Harvard Business School Case 620-062, February 2020. (Revised April 2021.)
  • 11 Apr 2024
  • News

Mission Control

then you reflect on the environment that you grew up in. And they have a few other exercises around that. And so, you really spent a substantial amount of time just collecting data and associations and thoughts from your history. DM: When... View Details
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