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  • All HBS Web  (1,194)
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  • All HBS Web  (1,194)
    • People  (1)
    • News  (232)
    • Research  (675)
    • Events  (17)
    • Multimedia  (8)
  • Faculty Publications  (560)
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Harvard Business School Online Courses & Learning Platforms

and learn how to evaluate a business’s performance, prospects, and value to make strategic investment decisions that generate financial success. 8 weeks, 5–6 hrs/week Enroll by... View Details
  • 28 Mar 2017
  • Working Paper Summaries

CEO Behavior and Firm Performance

Keywords: by Oriana Bandiera, Stephen Hansen, Andrea Pratt, and Raffaella Sadun
  • Web

Digital Marketing & AI Workshop - Course Catalog

HBS Course Catalog Digital Marketing & AI Workshop Course Number 1995 Lecturer Jacob Cook Fall; Q1; 1.5 credits 14 sessions Overview This hands-on EC course covers the fundamentals of modern digital marketing, including driving traffic,... View Details
  • Web

Generative AI for Business Leaders - Course Catalog

the capabilities to become an effective Gen AI product manager. You'll also do assignments geared to giving you the tools to do any professional work better and faster using the latest Gen View Details
  • 30 May 2024
  • Research & Ideas

Racial Bias Might Be Infecting Patient Portals. Can AI Help?

others—deeming some important enough for a physician’s review while routing others to nurses instead, according to the authors. The rise of Gen AI adds urgency Learning how to assess View Details
Keywords: by Ben Rand; Health
  • June 20, 2023
  • Article

Cautious Adoption of AI Can Create Positive Company Culture

By: Joseph Pacelli and Jonas Heese
Keywords: AI and Machine Learning; Organizational Culture; Employees
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Pacelli, Joseph, and Jonas Heese. "Cautious Adoption of AI Can Create Positive Company Culture." CMR Insights (June 20, 2023).
  • 05 Nov 2024
  • Research & Ideas

AI Can Help Leaders Communicate, But Can't Make Employees Listen

and mistakes and abbreviations the CEO uses,” Choudhury says. “What that tells us, generally, is that at least technologically, we can create a writing bot for any one of us.” Illustrations by Ariana... View Details
Keywords: by Ben Rand; Information Technology; Technology
  • September 17, 2021
  • Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
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Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
  • 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.... View Details
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)
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Bussgang, Jeffrey J., and Julia Kelley. "Choosy." Harvard Business School Case 819-054, December 2018.
  • November 2020
  • Teaching Note

DayTwo: Going to Market with Gut Microbiome

By: Ayelet Israeli
Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details
Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B Vs. B2C; B2B2C; Health & Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; "USA,"; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; Food and Beverage Industry; Israel; United States
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Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Teaching Note 521-052, November 2020.
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The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation | Information Technology

headquarters, filming the company’s culture and meetings. Some subjects, like an AI Factory, are simply better seen than described. The multimedia approach here was critical to accelerating the View Details
  • 20 Nov 2019
  • Research & Ideas

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

the Author Dina Gerdeman is senior writer at Harvard Business School Working Knowledge. [Image: Cecilie_Arcurs] Related Reading Use Artificial Intelligence to Set Sales Targets That Motivate Don't Turn Your Marketing Function Over to AI... View Details
Keywords: by Dina Gerdeman
  • 25 May 2021
  • Research & Ideas

White Airbnb Hosts Earn More. Can AI Shrink the Racial Gap?

Airbnb began offering a free tool to help all hosts set reasonable rates. The real-time, “smart pricing” program uses machine learning to automatically adjust the property’s nightly fees by considering a... View Details
Keywords: by Lane Lambert; Technology; Accommodations
  • Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
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McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
  • 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... View Details
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
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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.
  • February 2022
  • Teaching Note

Borusan CAT: Monetizing Prediction in the Age of AI

By: Navid Mojir
Teaching Note for HBS Case No. 521-053. View Details
Keywords: Monetization Strategy; Artificial Intelligence; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey
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Mojir, Navid. "Borusan CAT: Monetizing Prediction in the Age of AI." Harvard Business School Teaching Note 522-069, February 2022.
  • September 23, 2024
  • Article

AI Wants to Make You Less Lonely. Does It Work?

By: Julian De Freitas
Keywords: AI and Machine Learning; Well-being
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De Freitas, Julian. "AI Wants to Make You Less Lonely. Does It Work?" Wall Street Journal (September 23, 2024), R.11.
  • 16 Feb 2024
  • Research & Ideas

As AI Upends Recruiting, Job Seekers Need a Waze App for Careers

becoming more important at all levels of the labor force as we move from a more mechanical engineering, manufacturing economy to a post-industrial society. Retaining and cultivating those skills as part of View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • 2021
  • Working Paper

Time Dependency, Data Flow, and Competitive Advantage

By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
  • Spring 2021
  • Article

Corporate Resilience and Response During COVID-19

By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim and Hui (Stacie) Wang
The coronavirus pandemic caused a sharp market decline while raising heterogeneous responses across companies related to their employees, supply chain, and repurposing of operations to provide needed products and services. We study whether during the 2020 COVID-19... View Details
Keywords: ESG; COVID-19; Coronavirus; Crisis Response Plans; Crisis; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Leadership & Corporate Accountability; Big Data; Machine Learning; Investor Behavior; Institutional Investors; Corporate Performance; Health Pandemics; Crisis Management; Corporate Social Responsibility and Impact; Human Capital; Supply Chain; Operations; Leadership; Corporate Accountability; Institutional Investing; Performance
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Cheema-Fox, Alex, Bridget LaPerla, George Serafeim, and Hui (Stacie) Wang. "Corporate Resilience and Response During COVID-19." Journal of Applied Corporate Finance 33, no. 2 (Spring 2021): 24–40.
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