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Publications

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  • All HBS Web  (233)
    • News  (26)
    • Research  (181)
    • Events  (2)
  • Faculty Publications  (106)

Show Results For

  • All HBS Web  (233)
    • News  (26)
    • Research  (181)
    • Events  (2)
  • Faculty Publications  (106)
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  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • August 2019
  • Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
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Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
  • 22 Feb 2024
  • Research & Ideas

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

income of any one person. Even if you subtract the two numbers, there's a margin of error now where it gives you the guarantee [that] there's no way someone could really figure out with a certain degree of accuracy what your income is.... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • December 2023
  • Article

When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

By: Christian Kaps, Simone Marinesi and Serguei Netessine
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details
Keywords: Energy; Renewable Energy
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Kaps, Christian, Simone Marinesi, and Serguei Netessine. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments." Management Science 69, no. 12 (December 2023): 7633–7650.
  • 02 May 2023
  • What Do You Think?

How Should Artificial Intelligence Be Regulated—if at All?

Do you want learning based on all the information, good and bad, in the world? Or should some sources be banned? And how about output? Should certain uses of the output be limited? Should disclaimers as to the accuracy of work based on AI... View Details
Keywords: by James Heskett; Information Technology; Technology
  • 03 Mar 2023
  • Research & Ideas

When Showing Know-How Backfires for Women Managers

skills, might spend more time checking the accuracy of their teams’ work instead of devising budgets. Women scientists might focus more on interacting with students and staff instead of writing grants or working with donors. In essence,... View Details
Keywords: by Kara Baskin; Retail; Consumer Products
  • 23 Apr 2024
  • In Practice

Getting to Net Zero: The Climate Standards and Ecosystem the World Needs Now

With each month clocking record-breaking temperatures across the planet, this Earth Day reflected the renewed urgency of regulators and businesses to find climate-change solutions. The US Securities and Exchange Commission recently adopted new rules that will mandate... View Details
Keywords: by Rachel Layne
  • 20 Apr 2011
  • Research & Ideas

Blind Spots: We’re Not as Ethical as We Think

situations. When you are able to project yourself into a future situation, almost as if you were actually in it, you can better anticipate which motivations will be most powerful and prepare to manage them. The point of increasing your View Details
Keywords: by Sean Silverthorne
  • 29 Jan 2018
  • Book

How 'Teaming' Saved 33 Lives in the Chilean Mining Disaster

exacerbating the drilling accuracy problem. "No one person, or even one leadership team, or one organization or agency, could have successfully innovated to solve this problem" Rescuers soon divided into subteams to experiment with... View Details
Keywords: by Amy C. Edmondson; Mining
  • 24 Jan 2005
  • Research & Ideas

Rethinking Activity-Based Costing

processing orders) but how long it takes to complete one unit of that activity (the time required to process one order). Once again, precision is not critical; rough accuracy is sufficient. In the case of our example, let's suppose that... View Details
Keywords: by Robert S. Kaplan & Steven R. Anderson
  • 19 Jan 2015
  • Research & Ideas

Is Wikipedia More Biased Than Encyclopædia Britannica?

Zhu, an assistant professor in the Technology and Operations Management unit at Harvard Business School, who details the rise and fall of the information giant in a new working paper. "There has been lots of research on the accuracy of... View Details
Keywords: by Michael Blanding; Publishing
  • 13 May 2013
  • Research & Ideas

How to Spot a Liar

with the accuracy of the receivers' suspicions. They also noted instances in which receivers showed no suspicion toward deceivers. On average, receivers tended to trust the bald-faced liars far more than they trusted the allocators who... View Details
Keywords: by Carmen Nobel
  • 07 Jan 2019
  • Research & Ideas

The Better Way to Forecast the Future

too narrow, or underconfident. When combining probability forecasts, users need to adjust for those individual tendencies. Measuring accuracy and tracking performance are crucial to improving forecasts. Just as there are different methods... View Details
Keywords: by Roberta Holland; Air Transportation; Transportation
  • 09 Mar 2003
  • Research & Ideas

Six Keys to Building New Markets by Unleashing Disruptive Innovation

aligned with IBM's needs and capabilities. But think about IBM's value proposition to this woman. She types 80 words a minute and almost never makes a mistake. IBM was telling her, "Why don't you change your behavior and use a system that gives you lower View Details
Keywords: by Clayton M. Christensen, Michael E. Raynor & Scott D. Anthony
  • 31 Aug 2021
  • Book

Feeling Powerless at Work? Time to Agitate, Innovate, and Orchestrate

can map them with ever more accuracy is always within your reach. We can all observe the environment we’re seeking to influence; and knowing that everyone harbors a deep need for safety and self-esteem, you can gain insight into how the... View Details
Keywords: by Jay Fitzgerald
  • 21 Nov 2019
  • Research & Ideas

Do TV Debates Sway Voters?

give candidates equal access to voters, and monitoring the accuracy of handouts and social media posts that campaigns share. “It’s important to make sure that all campaigns are able to get their message out through these powerful... View Details
Keywords: by Danielle Kost
  • 11 Feb 2020
  • Sharpening Your Skills

10 Rules Entrepreneurs Need to Know Before Adopting AI

similarly strive to develop and quickly market a minimum viable algorithm. This approach may take some convincing; the DNA of founding technical teams is often around solving technical puzzles and increasing accuracy from 90 percent to 95... View Details
Keywords: by Rocio Wu
  • 20 Nov 2019
  • Research & Ideas

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

recommendations that the company offered a $1 million prize in 2009 to anyone who could build a system that improved prediction accuracy by just 10 percent. [div class=infogram-embed data-id=_/o3PhIjbcup30mxRiWNTV][/div] “Companies now... View Details
Keywords: by Dina Gerdeman
  • 06 Jan 2014
  • Research & Ideas

Technology Re-Emergence: Creating New Value for Old Innovations

Swiss watchmakers realized they could no longer cite time-keeping precision as the main selling point of a handcrafted mechanical watch, Raffaelli explains. Quartz enabled mass-produced accuracy on the cheap. A revival depended on a new... View Details
Keywords: by Carmen Nobel; Apparel & Accessories; Technology; Consumer Products
  • 03 Oct 2005
  • Research & Ideas

The Box Office Power of Stars

relatively good forecasts of actual box office returns. In fact, the forecasting accuracy is what makes it such a valuable research setting. I used HSX to measure how the involvement of a movie star affects likely theatrical movie... View Details
Keywords: by Sarah Jane Gilbert; Entertainment & Recreation; Motion Pictures & Video
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