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      • April 5, 2021
      • Article

      Defining a Post-Pandemic Channel Strategy

      By: Frank V. Cespedes
      Companies have experienced a surge of online orders during the pandemic. As the crisis eases, leaders need to decide whether the shift to e-commerce is a permanent “new normal” or a temporary increase. Across sectors, forecasts aimed at answering this question form the... View Details
      Keywords: Health Pandemics; Marketing Channels; Strategy; Resource Allocation; E-commerce
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      Cespedes, Frank V. "Defining a Post-Pandemic Channel Strategy." Harvard Business Review Digital Articles (April 5, 2021).
      • February 2021
      • Tutorial

      Assessing Prediction Accuracy of Machine Learning Models

      By: Michael Toffel and Natalie Epstein
      This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
      Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning
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      Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021. (Click here to access this tutorial.)
      • January–February 2021
      • Article

      Cross‐firm Return Predictability and Accounting Quality

      By: Wen Chen, Mozaffar Khan, Leonid Kogan and George Serafeim
      We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both... View Details
      Keywords: Accounting Quality; Earnings Quality; Stock Returns; Investment Strategy; Accounting; Business Earnings; Quality; Investment Return; Investment; Strategy
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      Chen, Wen, Mozaffar Khan, Leonid Kogan, and George Serafeim. "Cross‐firm Return Predictability and Accounting Quality." Journal of Business Finance & Accounting 48, nos. 1-2 (January–February 2021): 70–101.
      • 2021
      • Working Paper

      Entrepreneurial Learning and Strategic Foresight

      By: Aticus Peterson and Andy Wu
      We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
      Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning
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      Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
      • January 2021
      • Supplement

      Aster DM Healthcare: Budget Exercise

      By: V.G. Narayanan and Amy Klopfenstein
      In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
      Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Finance; Borrowing and Debt; Financial Institutions; Banks and Banking; Financial Condition; Financial Liquidity; Accounting; Budgets and Budgeting; Management; Crisis Management; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
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      Narayanan, V.G., and Amy Klopfenstein. "Aster DM Healthcare: Budget Exercise." Harvard Business School Spreadsheet Supplement 121-025, January 2021.
      • January 2021
      • Case

      Aster DM Healthcare: Budgeting for a Crisis

      By: V.G. Narayanan and Amy Klopfenstein
      In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
      Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Budgets and Budgeting; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
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      Narayanan, V.G., and Amy Klopfenstein. "Aster DM Healthcare: Budgeting for a Crisis." Harvard Business School Case 121-001, January 2021.
      • January 2021
      • Supplement

      Forecasting the Adoption of E-books Spreadsheet Supplement

      By: Elie Ofek
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      Ofek, Elie. "Forecasting the Adoption of E-books Spreadsheet Supplement." Harvard Business School Spreadsheet Supplement 521-709, January 2021.
      • January 2021 (Revised March 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
      • January 2021
      • Case

      The FIRE Savings Calculator

      By: Michael Parzen and Paul Hamilton
      This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details
      Keywords: Analysis; Forecasting and Prediction; Financial Strategy; Investment Portfolio; Investment Return; Personal Finance; Saving; Risk and Uncertainty; Diversification; Theory; Personal Development and Career; Financial Services Industry
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      Parzen, Michael, and Paul Hamilton. "The FIRE Savings Calculator." Harvard Business School Case 621-087, January 2021.
      • June 2021
      • Article

      From Predictions to Prescriptions: A Data-driven Response to COVID-19

      By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
      The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
      Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
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      Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
      • 2021
      • Working Paper

      Real Credit Cycles

      By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
      We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S.... View Details
      Keywords: Econometric Models; Business Cycles; Credit
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      Bordalo, Pedro, Nicola Gennaioli, Andrei Shleifer, and Stephen J. Terry. "Real Credit Cycles." NBER Working Paper Series, No. 28416, January 2021.
      • Article

      Towards Robust and Reliable Algorithmic Recourse

      By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
      Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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      Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • January 2021
      • Article

      Using Models to Persuade

      By: Joshua Schwartzstein and Adi Sunderam
      We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
      Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
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      Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
      • December 2020 (Revised March 2022)
      • Teaching Note

      Forecasting ClimaCell

      By: Joshua Lev Krieger, Christopher Stanton and James Barnett
      A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
      Keywords: Weather; Forecasting and Prediction; Business Startups; Research and Development; Finance; Cost vs Benefits; Decision Making; Strategy; United States; Israel; Massachusetts; Colorado
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      Krieger, Joshua Lev, Christopher Stanton, and James Barnett. "Forecasting ClimaCell." Harvard Business School Teaching Note 821-008, December 2020. (Revised March 2022.)
      • November 2020
      • Case

      Axis My India

      By: Ananth Raman, Ann Winslow and Kairavi Dey
      Pradeep Gupta founded Axis My India (AMI) as a printing and publishing company in 1998. In 2013, AMI expanded into consumer research and election forecasting. Although a relatively unknown entity, AMI predicted several election results accurately. Gupta describes AMI’s... View Details
      Keywords: Market Research; Operations; Management; Infrastructure; Logistics; Service Operations; Political Elections; Forecasting and Prediction; Asia; India
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      Raman, Ananth, Ann Winslow, and Kairavi Dey. "Axis My India." Harvard Business School Case 621-075, November 2020.
      • October 2020 (Revised March 2021)
      • Supplement

      Migros Turkey: Scaling Online Operations During COVID-19 (C)

      By: Antonio Moreno and Gamze Yucaoglu
      The case opens in August 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are navigating Migros through COVID-19 and the unprecedented... View Details
      Keywords: Business Model; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Diversification; Corporate Strategy; Crisis Management; Health Pandemics; Strategic Planning; Food and Beverage Industry; Turkey
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      Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations During COVID-19 (C)." Harvard Business School Supplement 621-062, October 2020. (Revised March 2021.)
      • 2022
      • Working Paper

      The Stock Market Value of Human Capital Creation

      By: Matthias Regier and Ethan Rouen
      We develop a measure of firm-year-specific human capital investment from publicly disclosed personnel expenses (PE) and examine the stock market valuation of this investment. Measuring the future value of PE (PEFV) based on the relation between lagged... View Details
      Keywords: Intangibles; Market Valuation; Human Capital; Stocks; Financial Markets; Valuation
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      Regier, Matthias, and Ethan Rouen. "The Stock Market Value of Human Capital Creation." Harvard Business School Working Paper, No. 21-047, October 2020. (Revised March 2022.)
      • September 2020
      • Article

      Analyst Forecast Bundling

      By: Michael Drake, Peter Joos, Joseph Pacelli and Brady Twedt
      Changing economic conditions over the past two decades have created incentives for sell-side analysts to both provide their institutional clients tiered services and to streamline their written research process. One manifestation of these changes is an increased... View Details
      Keywords: Analysts; Earnings Forecasts; Forecast Accuracy; Forecast Bundling; Business Earnings; Forecasting and Prediction
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      Drake, Michael, Peter Joos, Joseph Pacelli, and Brady Twedt. "Analyst Forecast Bundling." Management Science 66, no. 9 (September 2020): 4024–4046.
      • August 2020 (Revised September 2020)
      • Technical Note

      Assessing Prediction Accuracy of Machine Learning Models

      By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
      The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
      Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
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      Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
      • Article

      Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts

      By: Kenneth Merkley, Roni Michaely and Joseph Pacelli
      We examine how cultural differences among agents influence the aggregate outcome of a common forecasting task. Using both exogenous shocks to sell-side analyst diversity and panel regression methods, we find that increases in analyst cultural diversity positively... View Details
      Keywords: Culture; Forecasting; Sell-side Analysts; Information Aggregation; Diversity; Forecasting and Prediction; Information; Performance Improvement
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      Merkley, Kenneth, Roni Michaely, and Joseph Pacelli. "Cultural Diversity on Wall Street: Evidence from Consensus Earnings Forecasts." Journal of Accounting & Economics 70, no. 1 (August 2020).
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