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Show Results For
-
All HBS Web
(1,261)
- People (4)
- News (416)
- Research (595)
- Events (9)
- Multimedia (20)
- Faculty Publications (390)
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of...
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Keywords:
Artificial Intelligence;
Data Strategy;
Ecosystem;
Value Capture;
Digital Platforms;
Analytics and Data Science;
Strategy;
Learning;
Value Creation;
AI and Machine Learning;
Technology Industry;
Information Technology Industry;
Video Game Industry;
Advertising Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- 2021
- Working Paper
CRM and AI in Time of Crisis
By: Michelle Y. Lu and Navid Mojir
A crisis can affect the incentives of various players within a firm’s multi-layered sales and marketing organization (e.g., headquarters and branches of a bank). Such shifts can result in sales decisions against the firm’s best interests. Motivated by the backlash to...
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Keywords:
CRM;
Artificial Intelligence;
AI;
B2B Marketing;
Decision Authority;
Crisis Marketing;
Intra-organizational Conflict;
COVID-19 Pandemic;
Customer Relationship Management;
Technological Innovation;
Decision Making;
Strategy;
Health Pandemics;
Crisis Management;
AI and Machine Learning
Lu, Michelle Y., and Navid Mojir. "CRM and AI in Time of Crisis." Harvard Business School Working Paper, No. 22-035, November 2021.
- 2020
- Article
A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?
By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam
Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role...
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Keywords:
Sales Compensation;
Sales Management;
Sales Strategy;
Principal-agent Theory;
Structural Econometrics;
Field Experiments;
Machine Learning;
Artificial Intelligence;
Salesforce Management;
Compensation and Benefits;
Motivation and Incentives;
AI and Machine Learning
Chung, Doug J., Byungyeon Kim, and Niladri B. Syam. "A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?" Foundations and Trends® in Marketing 14, no. 1 (2020): 1–52.
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time...
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Keywords:
Artificial Intelligence;
Platform;
Interactive Physical Simulation;
Virtual Environment;
Multi-modal;
AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
- January 2017 (Revised March 2017)
- Case
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and...
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Keywords:
Digital;
Technological Change;
Artificial Intelligence;
Data;
IBM;
Watson;
Internet Of Things;
Innovation and Invention;
Management;
Sales;
Information Technology;
Technological Innovation;
Transformation;
AI and Machine Learning
Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Case 317-046, January 2017. (Revised March 2017.)
- 2023
- Working Paper
Where Strategy Matters: Evidence from a Global Startup Field Study
By: Nataliya Langburd Wright
The role of strategy for innovative startups is theoretically ambiguous and much debated among
practitioners. I interviewed executives of 253 scaling software ventures from 34 countries and
scored the alignment of their market and organizational choices to detect...
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Keywords:
Entrepreneurship And Strategy;
Scaling Technology Ventures;
Global Contextual Intelligence;
Strategy;
Entrepreneurship;
Global Strategy;
Growth and Development Strategy
Wright, Nataliya Langburd. "Where Strategy Matters: Evidence from a Global Startup Field Study." Harvard Business School Working Paper, No. 23-041, January 2023. (Revised July 2023.)
- February 2018 (Revised October 2019)
- Case
HubSpot and Motion AI: Chatbot-Enabled CRM
By: Jill Avery and Thomas Steenburgh
HubSpot, an inbound marketing, sales, and customer relationship management (CRM) software provider, announced that it had acquired Motion AI, a software platform that enabled companies to easily build and deploy chatbots, fueled by artificial intelligence, to interact...
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Keywords:
CRM;
Sales Management;
Customer Service;
Artificial Intelligence;
B2B Vs. B2C;
Business Marketing;
SaaS;
Marketing;
Marketing Strategy;
Brands and Branding;
Customer Focus and Relationships;
Sales;
Salesforce Management;
Technological Innovation;
Applications and Software;
Customer Relationship Management;
AI and Machine Learning;
Technology Industry;
Service Industry;
United States;
North America
Avery, Jill, and Thomas Steenburgh. "HubSpot and Motion AI: Chatbot-Enabled CRM." Harvard Business School Case 518-067, February 2018. (Revised October 2019.)
- 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).
- 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)
- 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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- 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.
- 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.
- 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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- 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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- 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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- 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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