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      Forecasting and PredictionRemove Forecasting and Prediction →

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      • 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.
      • 2023
      • Working Paper

      The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia

      By: Caleb Kwon and Ananth Raman
      Effective in eight jurisdictions and banned in four, Fair Workweek Laws (FWL) aim to increase the predictability and stability of work schedules. Among other requirements, these laws penalize employers for unilaterally adjusting work schedules without providing some... View Details
      Keywords: Working Conditions; Employees; Outcome or Result; Los Angeles; Chicago; Philadelphia
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      Kwon, Caleb, and Ananth Raman. "The Real Effects of Fair Workweek Laws on Work Schedules: Evidence from Chicago, Los Angeles, and Philadelphia." Working Paper, October 2023.
      • 2023
      • Working Paper

      Trusting Talent: Cross-Country Differences in Hiring

      By: Letian Zhang and Shinan Wang
      This article argues that a society’s social trust influences employers’ hiring strategies. In selecting workers, employers could either focus on applicants’ potential and select on foundational skills (e.g., social skills, math skills) or focus on their readiness and... View Details
      Keywords: Selection and Staffing; Trust; Competency and Skills; Cross-Cultural and Cross-Border Issues; European Union
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      Zhang, Letian, and Shinan Wang. "Trusting Talent: Cross-Country Differences in Hiring." Working Paper, October 2023.
      • September 2023
      • Supplement

      Design and Evaluation of Targeted Interventions

      By: Eva Ascarza
      Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
      Keywords: Marketing; Design; Business Strategy; Policy; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry
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      Ascarza, Eva. "Design and Evaluation of Targeted Interventions." Harvard Business School Spreadsheet Supplement 524-703, September 2023.
      • 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.)
      • September 2023 (Revised September 2024)
      • Technical Note

      Measuring and Managing Social Impact

      By: Brian Trelstad, Gerald Chertavian and Susan Pinckney
      A brief overview of how to measure social impact at nonprofits, social organizations, and impact investments. View Details
      Keywords: Analysis; Change; Transformation; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Public Sector; Entrepreneurship; Social Entrepreneurship; Fairness; Entrepreneurial Finance; Governance; Governing and Advisory Boards; Policy; Innovation and Management; Knowledge Acquisition; Knowledge Use and Leverage; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Resource Allocation; Measurement and Metrics; Standards; Strength and Weakness; Mission and Purpose; Success; Performance; Performance Evaluation; Philanthropy and Charitable Giving; Strategic Planning; Programs; Risk and Uncertainty; Social Enterprise; Non-Governmental Organizations; Social Issues; United States
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      Trelstad, Brian, Gerald Chertavian, and Susan Pinckney. "Measuring and Managing Social Impact." Harvard Business School Technical Note 324-017, September 2023. (Revised September 2024.)
      • September 2023 (Revised December 2023)
      • Case

      TetraScience: Noise and Signal

      By: Thomas R. Eisenmann and Tom Quinn
      In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
      Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
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      Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
      • September 2023 (Revised February 2024)
      • Case

      Accelerating with Caution: Forecasting and Managing birddogs' Growth

      By: Mark Egan
      As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working... View Details
      Keywords: Inventory; Working Capital; Forecasting and Prediction; Organizational Change and Adaptation; Financing and Loans; Apparel and Accessories Industry
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      Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs' Growth." Harvard Business School Case 224-023, September 2023. (Revised February 2024.)
      • September 2023 (Revised October 2024)
      • Case

      Forecasting Climate Risks: Aviva’s Climate Calculus

      By: Mark Egan and Peter Tufano
      In late 2021, Ben Carr, Director of Analytics and Capital Modeling at Aviva Plc (Aviva)—a leading insurer with core operations in the UK, Ireland and Canada,—was preparing for an upcoming presentation before the company's board which included its CEO, Amanda Blanc,... View Details
      Keywords: Climate Risk; Climate Finance; Forecasting; Insurance; Risk Measurement; Climate Change; Risk Management; Forecasting and Prediction; Insurance Industry; United States
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      Egan, Mark, and Peter Tufano. "Forecasting Climate Risks: Aviva’s Climate Calculus." Harvard Business School Case 224-025, September 2023. (Revised October 2024.)
      • September 2023
      • Supplement

      Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)

      By: Mark Egan
      As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working... View Details
      Keywords: Working Capital; Forecasting and Prediction; Expansion; Production; Apparel and Accessories Industry
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      Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)." Harvard Business School Supplement 224-024, September 2023.
      • 2023
      • Article

      On the Impact of Actionable Explanations on Social Segregation

      By: Ruijiang Gao and Himabindu Lakkaraju
      As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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      Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
      • September 2023
      • Article

      Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement

      By: George Serafeim and Aaron Yoon
      We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and... View Details
      Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Ratings; ESG Reporting; ESG Disclosure Metrics; Sustainability; Investments; Disagreement; Rating Disagreement; Ratings; Environmental Sustainability; Social Issues; Corporate Social Responsibility and Impact; Performance; News; Investment; Financial Markets; Stocks; Price
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      Serafeim, George, and Aaron Yoon. "Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement." Special Issue on RAST 2022 Conference. Review of Accounting Studies 28, no. 3 (September 2023): 1500–1530.
      • 2023
      • Working Paper

      Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks

      By: Shelley Xin Li, Frank Nagle and Aner Zhou
      Organization-level networks facilitate the flow of information and business activities in the economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to understand the role of employee connections at all job levels in... View Details
      Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
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      Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
      • 2024
      • Working Paper

      Migration, Climate Similarity, and the Consequences of Climate Mismatch

      By: Marguerite Obolensky, Marco Tabellini and Charles Taylor
      This paper examines the concept of “climate matching” in migration—the idea that migrants seek out destinations with familiar climates. Focusing on the US, we document that temperature distance between origin and destination predicts the distribution of migrants across... View Details
      Keywords: Migration; Climate; Immigration; Residency; Weather; Ethnicity; Climate Change; Geographic Location; Policy; United States
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      Obolensky, Marguerite, Marco Tabellini, and Charles Taylor. "Migration, Climate Similarity, and the Consequences of Climate Mismatch." Harvard Business School Working Paper, No. 24-031, November 2023. (Revised November 2024. Also available from VoxEU, e-axes, and HBS Working Knowledge.)
      • August 2023
      • Article

      Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel

      By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
      Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
      Keywords: AI and Machine Learning; Technological Innovation; Technology Adoption
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      Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
      • 2023
      • Working Paper

      How People Use Statistics

      By: Pedro Bordalo, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
      We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis... View Details
      Keywords: Decision Choices and Conditions; Microeconomics; Mathematical Methods; Behavioral Finance
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      Bordalo, Pedro, John J. Conlon, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "How People Use Statistics." NBER Working Paper Series, No. 31631, August 2023.
      • 2023
      • Other Unpublished Work

      If 3 Was 9

      By: Randolph B. Cohen
      One determinant of where economies and markets are headed is how well we handle the climate crisis. Headlines on the climate tend to emphasize two points. First, average global temps are rising, with it being the hottest summer in 1,000 centuries per some estimates.... View Details
      Keywords: Climate Change; Measurement and Metrics
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      Cohen, Randolph B. "If 3 Was 9." August 2023. (LinkedIn Articles.)
      • July 2023
      • Case

      Crocs: Using Community-Centric Marketing to Make Ugly Iconic

      By: Ayelet Israeli and Anne V. Wilson
      In 2022, the Crocs Classic Clog was the best-selling item of clothing on Amazon, the brand was one of the fastest growing brands in the U.S., and global net revenue had increased to approximately $3.6 billion. By most accounts, Crocs had become the “it” shoe. Crocs... View Details
      Keywords: Brands and Branding; Product Development; Growth and Development; Customer Value and Value Chain; Digital Marketing; Digital Strategy; Segmentation; Advertising; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Anne V. Wilson. "Crocs: Using Community-Centric Marketing to Make Ugly Iconic." Harvard Business School Case 524-006, July 2023.
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • 2023
      • Working Paper

      Algorithm Failures and Consumers' Response: Evidence from Zillow

      By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
      In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details
      Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry
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      Troncoso, Isamar, Runshan Fu, Nikhil Malik, and Davide Proserpio. "Algorithm Failures and Consumers' Response: Evidence from Zillow." Working Paper, July 2023.
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