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  • All HBS Web  (800)
    • News  (204)
    • Research  (433)
    • Events  (4)
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Show Results For

  • All HBS Web  (800)
    • News  (204)
    • Research  (433)
    • Events  (4)
    • Multimedia  (7)
  • Faculty Publications  (298)
← Page 20 of 800 Results →
  • 11 Jun 2024
  • In Practice

The Harvard Business School Faculty Summer Reader 2024

As the vacation season looms, Harvard Business School faculty members share recommendations for a little light reading. Spoiler alert: Lessons in Chemistry tops two of their beach-read lists. For those whose brains can’t—or won’t—turn off, HBS faculty also suggest some... View Details
Keywords: by Avery Forman
  • 2025
  • Working Paper

The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
Keywords: AI and Machine Learning; Employees; Performance Effectiveness
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Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
  • 24 Jul 2023
  • Research & Ideas

Part-Time Employees Want More Hours. Can Companies Tap This ‘Hidden’ Talent Pool?

workforce, since an ever-growing proportion of college and graduate school enrollees are women, he adds. This planning is even more necessary with the advent of Artificial Intelligence (AI), Fuller cautions. As computers View Details
Keywords: by Kara Baskin
  • March 2018 (Revised March 2018)
  • Teaching Note

OpenInvest

By: Boris Vallee and Caitlin Reimers Brumme
Founded by a team of hedge fund and NGO alumni, OpenInvest launched its platform in 2015 to enable retail investors to tailor their portfolio to their personal values in an automated way, for instance by screening out weapon manufacturers stocks or overweighting LGBTQ... View Details
Keywords: Socially Responsible Investing; Investing For Impact; Robo-advisors; Investment; Values and Beliefs; Customization and Personalization; Technology; Financial Services Industry
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Vallee, Boris, and Caitlin Reimers Brumme. "OpenInvest." Harvard Business School Teaching Note 218-089, March 2018. (Revised March 2018.)
  • Web

Podcasts - Managing the Future of Work

AI-enabled expansion into new markets while improving productivity and service delivery? CIO Nitin Tandon explains the global workforce strategy underpinning the effort. Shake Shack’s test kitchen: Developing a good jobs View Details
  • Forthcoming
  • Article

Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency
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Zhang, Shunyuan, and Das Narayandas. "Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment." Management Science (forthcoming).
  • Web

Browse All Articles, Research, & Case Studies - HBS Working Knowledge

into what’s driving and limiting the practice of skills-based hiring. The discussion ranges from degree inflation and HR automation to workforce demographics, skills-based... View Details
  • 2016
  • Working Paper

Operations in the On-Demand Economy: Staffing Services with Self-Scheduling Capacity

By: Itai Gurvich, Martin Lariviere and Antonio Moreno
Motivated by recent innovations in service delivery such as ride-sharing services and work-from-home call centers, we study capacity management when workers self-schedule. Our service provider chooses capacity to maximize its profit (revenue from served customers minus... View Details
Keywords: Strategic Servers; On-demand Economy; Independent Capacity; Distributed Systems; Uber; Service Operations; Performance Capacity
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Gurvich, Itai, Martin Lariviere, and Antonio Moreno. "Operations in the On-Demand Economy: Staffing Services with Self-Scheduling Capacity." Working Paper, June 2016.
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

training for various reasons.” Rachel Layne: What is machine “unlearning” and why is it important? Seth Neel: Before defining machine unlearning, maybe it's good to set a baseline of what machine learning is. Broadly, I view machine... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 2019
  • Article

Overcoming Cultural Resistance to Open Source Innovation

By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani
Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details
Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention
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Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33.
  • October 2021
  • Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
  • Program

Competing in the Age of Digital Platforms

a competitive advantage Understand the core fundamentals of how to launch and maintain a platform business that outperforms digital and conventional competitors in the United States, China, View Details
  • 11 Apr 2024
  • In Practice

Why Progress on Immigration Might Soften Labor Pains

Almost one-third of Americans consider immigration the most important “problem” that the United States faces, according to a new Gallup poll. And yet, companies say they need far more workers than the current system allows. Some business... View Details
Keywords: by Rachel Layne
  • Web

Great American Business Leaders of the 20th Century - Leadership

Archie A. Alexander Alexander & Repass, 1914–1954 Henry C. Alexander Morgan Guaranty Trust, 1959–1967 William M. Allen Boeing Company, 1945–1969 Howard L. Aller American Power and Light Company, 1935–1951 Stanley C. Allyn National Cash... View Details
  • 30 Sep 2002
  • Research & Ideas

Your Crisis Response Plan: The Ten Effective Elements

Organizations inevitably face crises, but few are well prepared to deal with them. The following elements summarize the findings of research and experience about what it takes to respond effectively in crisis situations. The accompanying... View Details
Keywords: by Michael Watkins
  • 23 Jan 2024
  • Book

More Than Memes: NFTs Could Be the Next Gen Deed for a Digital World

encourage them to invest in growing, sharing, and enhancing the brand everywhere, both online and IRL. While writing this book, we tried to think of a title that properly encompassed what an NFT actually can... View Details
Keywords: by Dina Gerdeman; Information Technology; Technology; Financial Services
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • 21 Oct 2022
  • Research & Ideas

People Trust Business, But Expect CEOs to Drive Social Change

Public trust in business remains relatively unshaken amid economic turbulence and a lingering pandemic, even as faith in the media and government falters, but leaders could do more to address social issues, a new global opinion survey shows. However, not everyone... View Details
Keywords: by Scott Van Voorhis
  • Web

Marketing - Faculty & Research

insights, they still require fine-tuning with proprietary data to produce accurate preference estimates. And despite their potential, LLMs should augment rather than replace human research, because they... View Details
  • 07 Jul 2019
  • HBS Case

Walmart's Workforce of the Future

approach to the customer experience, with an emphasis on employee training and improved ecommerce and automation technology, both on the floor View Details
Keywords: by Julia Hanna; Retail
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