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      • September 2023 (Revised January 2024)
      • Case

      AB InBev: Brewing Up Forecasts during COVID-19

      By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud
      In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a workforce of 160,000 in 2020, AB InBev... View Details
      Keywords: Beer; Forecasting; COVID-19; Decision; Forecasting and Prediction; Analytics and Data Science; Crisis Management; Decisions; Financing and Loans; Investment Return; Resource Allocation; Distribution; Production; Business Processes; Strategic Planning; Health Pandemics; Digital Transformation; Markets; Food and Beverage Industry; Belgium; Europe; Latin America; North and Central America
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      Egan, Mark, C. Fritz Foley, Esel Cekin, and Emilie Billaud. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Case 224-020, September 2023. (Revised January 2024.)
      • 2023
      • Article

      On Minimizing the Impact of Dataset Shifts on Actionable Explanations

      By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
      The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
      • August 2023
      • Case

      Kariyer.net: Recruiting AI

      By: Shunyuan Zhang, Fares Khrais and Namrata Arora
      In 2017, Fatih Uysal (AMP 2021) became CEO of Kariyer.net. By then, the business was already the industry leading online job board in Turkey. However, faced with stalling growth, a turbulent macroenvironment, and growing competition from international players, Uysal... View Details
      Keywords: Online Technology; Marketing; Websites; Artificial Intelligence; Innovation; Two-sided Platforms; Internet and the Web; Product Launch; Product Positioning; Job Search; Employment; Transformation; Volatility; Innovation and Invention; Disruptive Innovation; Management Practices and Processes; Business Growth and Maturation; Competitive Strategy; Business Startups; Talent and Talent Management; Cost vs Benefits; Macroeconomics; Corporate Entrepreneurship; Emerging Markets; Digital Platforms; Information Technology Industry; Information Technology Industry; Information Technology Industry; Middle East; Turkey
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      Zhang, Shunyuan, Fares Khrais, and Namrata Arora. "Kariyer.net: Recruiting AI." Harvard Business School Case 524-014, August 2023.
      • 2024
      • Working Paper

      The Crowdless Future? Generative AI and Creative Problem Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
      • July 2023 (Revised May 2024)
      • Case

      India Stack: Digital Public Infrastructure for All

      By: Tarun Khanna, Anjali Raina and Rachna Chawla
      Amitabh Kant, India Sherpa in the year of India's G20 Presidency, and Nandan Nilekani iconic tech entrepreneur wondered how to share India's model of digital public infrastructure to build social and economic inclusion. 'India Stack', the umbrella term for India's DPI... View Details
      Keywords: Digital Transformation; Information Technology; Technology Adoption; Developing Countries and Economies; Economic Growth; Information Technology Industry; Information Technology Industry; Information Technology Industry; Asia; South Asia; India
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      Khanna, Tarun, Anjali Raina, and Rachna Chawla. "India Stack: Digital Public Infrastructure for All." Harvard Business School Case 724-371, July 2023. (Revised May 2024.)
      • June 2023
      • Article

      Gaining Organizational Adoption: Strategically Pacing the Deployment of Digital Innovations

      By: Rebecca Karp
      Scholars have long suggested that to foster adoption for their innovative products and services, entrepreneurs should engage with customers to better understand their unmet needs. Yet, customers frequently reside in organizations, and organizational members may not be... View Details
      Keywords: Entrepreneurship And Strategy; Digital Innovation; Healthcare; Work And Organizations; Organizational Adoption; B2B; Customers; Technology Adoption; Innovation Strategy; Organizational Change and Adaptation
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      Karp, Rebecca. "Gaining Organizational Adoption: Strategically Pacing the Deployment of Digital Innovations." Academy of Management Journal 66, no. 3 (June 2023): 773–796.
      • Article

      Do Citizens’ Preferences Matter? Shaping Legislator Attitudes Towards Peace Agreements

      By: Miguel García-Sánchez, Aila M. Matanock and Natalia Garbiras-Díaz
      To what extent are legislators, responsible for the implementation of many peace agreements, responsive to citizens’ preferences? Examining the 2016 Colombian peace agreement, we embed an experiment in the 2019 wave of a survey of all the members of Congress. We inform... View Details
      Keywords: Legislation; Legislators; Peace Process; Agreements; Govenment; Voters' Interests; Governance; Government and Politics; Voting; Policy; Governing Rules, Regulations, and Reforms; Latin America; Colombia
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      García-Sánchez, Miguel, Aila M. Matanock, and Natalia Garbiras-Díaz. "Do Citizens’ Preferences Matter? Shaping Legislator Attitudes Towards Peace Agreements." Journal of Conflict Resolution 67, no. 5 (May 2023): 893–922.
      • 2024
      • Working Paper

      Using LLMs for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Information Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
      • April 2023 (Revised September 2023)
      • Case

      Levels: The Remote, Asynchronous, Deep Work Management System

      By: Joseph B. Fuller and George Gonzalez
      Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
      Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
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      Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
      • March 2023 (Revised January 2024)
      • Case

      Deepa Bachu (A): Design Thinking at Pensaar Design

      By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal
      In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details
      Keywords: Buildings and Facilities; Design; Education; Training; Working Conditions; Business or Company Management; Production; Business Processes; Corporate Social Responsibility and Impact; Outcome or Result; Performance Improvement; Programs; Business and Stakeholder Relations; Groups and Teams; Labor and Management Relations; Rank and Position; Safety; Attitudes; Behavior; Motivation and Incentives; Trust; Well-being; Consulting Industry; Pulp and Paper Industry; Manufacturing Industry; India
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      Graeber, Thomas, Joshua Schwartzstein, and Amram Migdal. "Deepa Bachu (A): Design Thinking at Pensaar Design." Harvard Business School Case 923-026, March 2023. (Revised January 2024.)
      • March 2023
      • Supplement

      Deepa Bachu (B): Insights and Experiments at Pensaar Design

      By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal
      In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details
      Keywords: Buildings and Facilities; Design; Training; Working Conditions; Business or Company Management; Production; Business Processes; Corporate Social Responsibility and Impact; Outcome or Result; Performance Improvement; Programs; Business and Stakeholder Relations; Groups and Teams; Labor and Management Relations; Rank and Position; Safety; Attitudes; Behavior; Motivation and Incentives; Trust; Well-being; Consulting Industry; Pulp and Paper Industry; Manufacturing Industry; India
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      Graeber, Thomas, Joshua Schwartzstein, and Amram Migdal. "Deepa Bachu (B): Insights and Experiments at Pensaar Design." Harvard Business School Supplement 923-034, March 2023.
      • March 2023
      • Case

      Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (A)

      By: Linda A. Hill and Emily Tedards
      In 2018, Ana Owczarzak was appointed to lead Google Ads' new innovation and accelerator team - the Sales Acceleration and Innovation Labs (SAIL). The purpose of SAIL was to offer testing and incubation services for individuals within Google Ads who were developing new... View Details
      Keywords: Innovation Leadership; Innovation Strategy; Organizational Design; Information Technology Industry; Information Technology Industry; Information Technology Industry; United States
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      Hill, Linda A., and Emily Tedards. "Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (A)." Harvard Business School Case 423-076, March 2023.
      • March 2023
      • Supplement

      Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (B)

      By: Linda A. Hill and Emily Tedards
      In 2018, Ana Owczarzak was appointed to lead Google Ads' new innovation and accelerator team - the Sales Acceleration and Innovation Labs (SAIL). The purpose of SAIL was to offer testing and incubation services for individuals within Google Ads who were developing new... View Details
      Keywords: Innovation Leadership; Organizational Culture; Information Technology Industry; Information Technology Industry; Information Technology Industry; United States
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      Hill, Linda A., and Emily Tedards. "Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (B)." Harvard Business School Supplement 423-077, March 2023.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • 2023
      • Working Paper

      Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition

      By: Timo O. Vuori and Michael L. Tushman
      Based on an inductive case study, we develop an emotional-temporal process model of an incumbent’s strategic decision making at a platform transition. We describe the senior team’s emotional response to this transition and the impact of these emotions on their... View Details
      Keywords: Emotions; Decision Choices and Conditions; Transition; Digital Platforms
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      Vuori, Timo O., and Michael L. Tushman. "Senior Team Emotional Dynamics and Strategic Decision Making at a Platform Transition." Harvard Business School Working Paper, No. 23-054, March 2023.
      • 2023
      • Working Paper

      Sending Signals: Strategic Displays of Warmth and Competence

      By: Bushra S. Guenoun and Julian J. Zlatev
      Using a combination of exploratory and confirmatory approaches, this research examines how people signal important information about themselves to others. We first train machine learning models to assess the use of warmth and competence impression management... View Details
      Keywords: AI and Machine Learning; Personal Characteristics; Perception; Interpersonal Communication
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      Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
      • January 2023 (Revised June 2023)
      • Case

      Replika: Embodying AI

      By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
      Replika was a virtual AI companion that provided a way for people to process their emotions, build connections in a safe environment, and get through periods of loneliness. The chatbot fulfilled a user's need for a friend, romantic partner, or purely an emotional... View Details
      Keywords: AI; AI and Machine Learning; Applications and Software; Human Needs; California
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      Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023. (Revised June 2023.)
      • January 2023 (Revised August 2023)
      • Case

      Veeva Systems and the Transformation to a Public Benefit Corporation

      By: Ranjay Gulati and Allison M. Ciechanover
      Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the... View Details
      Keywords: Transformation; Corporate Governance; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Culture; Information Technology Industry; Information Technology Industry; United States; California
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      Gulati, Ranjay, and Allison M. Ciechanover. "Veeva Systems and the Transformation to a Public Benefit Corporation." Harvard Business School Case 423-045, January 2023. (Revised August 2023.)
      • 2023
      • Article

      Evaluating Explainability for Graph Neural Networks

      By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
      As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
      Keywords: Analytics and Data Science
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      Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
      • December 2022 (Revised January 2025)
      • Case

      Akooda: Charging Toward Operational Intelligence

      By: Christopher Stanton and Mel Martin
      The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
      Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Information Technology Industry; Information Technology Industry; Boston; Israel
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      Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
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