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  • 26 Jul 2022
  • News

Burgers with Bugs? What Happens When Restaurants Ignore Online Reviews

  • 11 Apr 2023
  • Research & Ideas

Is Amazon a Retailer, a Tech Firm, or a Media Company? How AI Can Help Investors Decide

human intervention. So if you're a quantitative trader, you're always improving your models and driving your trading strategies that way. Machine learning is the current... View Details
Keywords: by Danielle Kost; Consumer Products; Real Estate; Financial Services; Retail

    Magie Cheng

    Mengjie (Magie) Cheng is a Ph.D. student in Marketing at Harvard Business School. She received her B.S. in Finance from Chu Kochen Honors College at Zhejiang University and M.S. in Management Science and... View Details
    • 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
    Related
    • 2025
    • Working Paper

    Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha

    By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
    We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
    Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets
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    • 01 Mar 2016
    • News

    Faculty Q&A: Price Check

    How did you come to focus on algorithmic pricing? In my doctoral work at MIT, I was studying optimization, probability, and machine learning, which are essentially mathematical tools that enable us to use data to make better decisions. From there, I realized I wanted... View Details
    Keywords: Julia Hanna; Nonstore Retailers; Retail Trade
    • Teaching Interest

    Overview

    By: Rob Markey

    Managing Service Operations - MBA Elective Curriculum

    World-class service organizations deeply understand the needs and behaviors of their customers, and design, manage, and improve their operating models accordingly. This course... View Details

    Keywords: Customer Lifetime Value; Customer Centric Initiative; Customer Engagement; Service Management; Service Profit Chain; Service Design; Service Models; Service Excellence; Customer Focus and Relationships; Customer Satisfaction; Customer Value and Value Chain; Service Delivery; Service Operations
    • July 2024
    • Article

    Chatbots and Mental Health: Insights into the Safety of Generative AI

    By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
    Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
    Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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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
    • 09 Dec 2019
    • News

    Identify Great Customers from Their First Purchase

      Shunyuan Zhang

      Shunyuan Zhang is an assistant professor in the Marketing unit at Harvard Business School. She teaches the first-year Marketing course in the MBA required curriculum.

      Professor Zhang studies the sharing economy and the marketing problems that the dynamics of... View Details

      Keywords: e-commerce industry; high technology; retailing
      • February 2018
      • Case

      Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home

      By: Rajiv Lal and Scott Johnson
      Amazon, Google, and Apple all offer their own smart speaker. The devices represent each firm's entry point into the connected home market. All three companies come into the space with their own strengths and weaknesses. Who will win? View Details
      Keywords: Apple; Apple Inc.; Google; Amazon; Amazon.com; Google Home; Homepod; Echo; Smart Home; Connected Home; Voice; Artificial Intelligence; Machine Learning; Internet Of Things; Smart Speaker; Connected Speaker; Intelligent Assistants; Virtual Assistants; Voice Assistants; Alexa; Google Assistant; Siri; Technological Innovation; Disruptive Innovation; Competitive Strategy; Business Strategy; Adoption; Information Infrastructure; Information Technology; Internet and the Web; Mobile and Wireless Technology; Applications and Software; Technology Adoption; Digital Platforms; Household; AI and Machine Learning; Electronics Industry; Technology Industry; United States
      Related
      • 16 Oct 2019
      • Research & Ideas

      Read Our Most Popular Stories of the Quarter

      What stories were readers like you diving into this summer on HBS Working Knowledge? Your interests varied dramatically, everything from how researchers use machine learning technology to predict CEO... View Details
      Keywords: by Sean Silverthorne
      • 12 May 2022
      • News

      Why Digital Is a State of Mind, Not Just a Skill Set

      • December 2014
      • Case

      Groupon: A New CEO Takes Charge

      By: Lynda M. Applegate and Arnold B. Peinado
      On August 7, 2013, Eric Lefkofsky, the chairman and largest shareholder of Groupon was named CEO, replacing founder Andrew Mason, who had run the company since its inception in 2009. When Groupon had its initial public offering (IPO) in November 2011, the company's... View Details
      Keywords: Entrepreneurial Management; Disruptive Technologies; Growth Strategy; Customer Relations; Service Management; International Business; Business Models; Strategy Execution; Entrepreneurship; Growth and Development Strategy; Business Model; United States
      Related
      • 2022
      • Working Paper

      Rethinking Explainability as a Dialogue: A Practitioner's Perspective

      By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
      As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details
      Keywords: Natural Language Conversations; AI and Machine Learning; Experience and Expertise; Interactive Communication; Business and Stakeholder Relations
      Related
      • 05 Oct 2015
      • Working Paper Summaries

      Online Network Revenue Management Using Thompson Sampling

      Keywords: by Kris Johnson Ferreira, David Simchi-Levi & He Wang; Retail

        Ta-Wei Huang

        Ta-Wei (David) Huang is a PhD candidate in Quantitative Marketing at Harvard Business School. His research integrates causal inference and machine learning to address methodological challenges and unintended consequences in targeting, personalization, and online... View Details

          Siyu Zhang

          Siyu Zhang is a second-year doctoral student at HBS. Zhang joined Harvard Business School in 2020 as a Research Associate and has been working on macroeconomic forecasting projects. Prior to joining HBS, he was a Data Scientist at John Hancock, where he utilized... View Details

          • December 1984
          • Case

          Expense Tracking System at Tiger Creek

          By: Shoshana Zuboff
          Mill manager Carl Adelman learns that a group of senior managers is soon to visit the Tiger Creek mill to learn more about the success of the newly implemented Expense Tracking System. The System had been installed on two paper machines to give workers real time cost... View Details
          Keywords: Management Teams; Success; Cost Management; Technology; Pulp and Paper Industry
          Related