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- Faculty Publications (390)
Show Results For
-
All HBS Web
(1,353)
- People (4)
- News (416)
- Research (579)
- Events (9)
- Multimedia (20)
- Faculty Publications (390)
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- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the...
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Keywords:
Artificial Intelligence;
Diagnosis;
Computer-assisted;
Image Interpretation;
Machine Learning;
Radiography;
Panoramic Radiograph;
AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- 2019
- Working Paper
Using Technology to Augment Professionals, Instead of Replacing Them, for Innovative Problem Solving
By: Hila Lifshitz - Assaf, Felicia Ng, Aniket Kittur and Robert Kraut
While in some technological and scientific areas innovation is flourishing, in others it is stalling, leaving important problems unsolved for decades. One explanation is professionals’ limitations as problem solvers, as accumulating depth of knowledge enhances one’s...
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- June 2017
- Teaching Note
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty...
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- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...
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Keywords:
Carbon Emissions;
Climate Change;
Environment;
Carbon Accounting;
Machine Learning;
Artificial Intelligence;
Digital;
Data Science;
Environmental Sustainability;
Environmental Management;
Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- December 2018
- Case
Choosy
By: Jeffrey J. Bussgang and Julia Kelley
Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages....
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Keywords:
Artificial Intelligence;
Algorithms;
Machine Learning;
Neural Networks;
Instagram;
Influencer;
Fast Fashion;
Design;
Customer Satisfaction;
Customer Focus and Relationships;
Decision Making;
Cost vs Benefits;
Innovation and Invention;
Brands and Branding;
Product Positioning;
Demand and Consumers;
Supply Chain;
Production;
Logistics;
Business Model;
Expansion;
Internet and the Web;
Mobile and Wireless Technology;
Digital Platforms;
Social Media;
Technology Industry;
Fashion Industry;
North and Central America;
United States;
New York (state, US);
New York (city, NY)
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,...
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Keywords:
Online Community;
Collective Intelligence;
Wisdom Of Crowds;
Bias;
Wikipedia;
Britannica;
Knowledge Production;
Knowledge Sharing;
Knowledge Dissemination;
Prejudice and Bias
Greenstein, Shane, and Feng Zhu. "Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia." MIS Quarterly 42, no. 3 (September 2018): 945–959.
- April 2017
- Supplement
Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (D)
By: Tsedal Neeley and Esel Çekin
Supplements the (A) case.
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Keywords:
Functions;
Structure;
Centralization;
Decentralization;
Diversity;
Country Of Origin Effects;
Global Contextual Intelligence;
Leading Change;
Crisis Management;
Organizational Structure;
Experience and Expertise;
Situation or Environment;
Central Asia;
Turkey
Neeley, Tsedal, and Esel Çekin. "Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (D)." Harvard Business School Supplement 417-071, April 2017.
- April 2017
- Supplement
Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (B)
By: Tsedal Neeley and Esel Çekin
Supplements the (A) case.
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Keywords:
Functions;
Structure;
Centralization;
Decentralization;
Diversity;
Country Of Origin Effects;
Global Contextual Intelligence;
Leading Change;
Crisis Management;
Organizational Structure;
Experience and Expertise;
Situation or Environment;
Central Asia;
Turkey
Neeley, Tsedal, and Esel Çekin. "Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (B)." Harvard Business School Supplement 417-069, April 2017.
- April 2017
- Teaching Note
Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (A, B, C, D)
By: Tsedal Neeley and Nathan Overmeyer
Teaching Note for HBS Nos. 417-068, 417-069, 417-070, and 417-071.
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- April 2017
- Supplement
Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (C)
By: Tsedal Neeley and Esel Çekin
Supplements the (A) case.
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Keywords:
Functions;
Structure;
Centralization;
Decentralization;
Diversity;
Country Of Origin Effects;
Global Contextual Intelligence;
Leading Change;
Crisis Management;
Organizational Structure;
Experience and Expertise;
Situation or Environment;
Central Asia;
Turkey
Neeley, Tsedal, and Esel Çekin. "Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (C)." Harvard Business School Supplement 417-070, April 2017.
- April 2017
- Case
Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (A)
By: Tsedal Neeley and Esel Çekin
Galya Frayman Molinas, President of Coca-Cola's Turkish business and a 20-year company veteran, is unexpectedly asked to take the helm of a newly expanded territory with operations across eight additional countries in Central Asia: Armenia, Azerbaijan, Georgia,...
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Keywords:
Functions;
Structure;
Centralization;
Decentralization;
Diversity;
Country Of Origin Effects;
Global Contextual Intelligence;
Leading Change;
Crisis Management;
Organizational Structure;
Experience and Expertise;
Situation or Environment;
Central Asia;
Turkey
Neeley, Tsedal, and Esel Çekin. "Global Leadership in a Dynamic and Evolving Region: Molinas @ The Coca-Cola Company (A)." Harvard Business School Case 417-068, April 2017.
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data...
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- July 2024
- Case
Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones
By: Lauren Cohen, Richard Ryffel, Grace Headinger and Sophia Pan
Edward Jones, a wealth management advisory firm that prided itself on its interpersonal connections and face-to-face interactions, was eager to augment their services with AI capabilities. Built on 1-to-1 close-knit relationships, the firm had more than 15,000 offices...
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Keywords:
Fintech;
Transformations;
Innovation And Strategy;
Financial Advisors;
Big Data;
AI;
Artificial Intelligence;
Digital Strategy;
Digitization;
Financial Institutions;
Business Strategy;
Competitive Advantage;
Technology Adoption;
Business Plan;
Technological Innovation;
Interpersonal Communication;
Communication Intention and Meaning;
Communication Strategy;
Transformation;
Employee Stock Ownership Plan;
Disruptive Innovation;
Innovation Strategy;
Innovation and Management;
Innovation Leadership;
Knowledge Acquisition;
Knowledge Use and Leverage;
Financial Services Industry;
St. Louis;
Missouri;
United States
Cohen, Lauren, Richard Ryffel, Grace Headinger, and Sophia Pan. "Knowledge-Enabled Financial Advice: Digital Transformation at Edward Jones." Harvard Business School Case 225-009, July 2024.
- October 2019
- Case
Leading Bank Leumi into the Future
By: Joshua D. Margolis, Allison M. Ciechanover, Nicole Keller and Danielle Golan
An unlikely but highly effective leader of a traditional bank, Rakefet Russak-Aminoach, simultaneously leads a classic change effort and an unconventional effort to innovate. She focuses her initial energy on making the bank more efficient in the face of industry...
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Keywords:
Mobile Banking;
Digital Banking;
Fintech;
Startup;
Financial Services;
Artificial Intelligence;
Innovation;
Efficiency;
Organizational Change;
Personal Development;
Female Ceo;
Banks and Banking;
Mobile and Wireless Technology;
Leadership;
Organizational Change and Adaptation;
Innovation and Invention;
Disruption;
Information Technology;
Opportunities;
Performance Effectiveness;
Personal Development and Career;
AI and Machine Learning;
Financial Services Industry;
Banking Industry;
Israel
Margolis, Joshua D., Allison M. Ciechanover, Nicole Keller, and Danielle Golan. "Leading Bank Leumi into the Future." Harvard Business School Case 420-063, October 2019.
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can use them wisely are the questions that will dominate the next...
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- March 2024 (Revised June 2024)
- Case
Governing OpenAI (A)
By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic...
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Keywords:
Artificial Intelligence;
Board Of Directors;
Board Decisions;
Board Dynamics;
Corporate Boards;
Governance Changes;
Governance Structure;
Leadership Change;
Legal Aspects Of Business;
Nonprofit Governance;
Strategy And Execution;
Technological Change;
AI and Machine Learning;
Corporate Governance;
Leadership;
Management;
Mission and Purpose;
Technological Innovation;
Governing Rules, Regulations, and Reforms;
Governing and Advisory Boards;
Resignation and Termination;
Ethics;
Nonprofit Organizations;
Open Source Distribution;
Partners and Partnerships;
Technology Industry;
San Francisco;
United States
Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised June 2024.)
- 05 Jul 2006
- What Do You Think?
How Important Is “Executive Intelligence” for Leaders?
selection and development of leaders. Some took issue with his definition, a few disagreed with his main thesis, and a number suggested the importance of executive intelligence as only one ingredient in leadership success. Stephen Burkett...
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Keywords:
by James Heskett
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
The launch of ChatGPT seems to have reignited doomsday fears about artificial intelligence (AI) replacing workers en masse. Are these fears prescient or overblown? A recent survey shows 62 percent of Americans think AI will majorly impact...
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- 26 Mar 2024
- Research & Ideas
How Humans Outshine AI in Adapting to Change
begin a task, pivoting your perspective of where you are and what you can do as your environment changes. Artificial intelligence can’t do that yet—and the machines may have a long way to go before they can truly replicate this...
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- 29 Oct 2019
- Sharpening Your Skills
Robots in the Boardroom
Steamships, electricity, the railroad, airplanes, the internet—technology and business have always been intertwined. Now a new tech revolution is pushing forward as organizations figure out how to use artificial intelligence to help them...
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Keywords:
by Sean Silverthorne