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      • 2023
      • Chapter

      Inflation and Misallocation in New Keynesian Models

      By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
      The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
      Keywords: Macroeconomics; Inflation and Deflation; Price; Analytics and Data Science; Cost
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      Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
      • July 2023
      • Article

      Marketplace Scalability and Strategic Use of Platform Investment

      By: Jin Li, Gary Pisano, Richard Xu and Feng Zhu
      The scalability of a marketplace depends on the operations of the marketplace platform as well as its sellers’ capacities. In this study, we explore one strategy that a marketplace platform can use to enhance its scalability: providing an ancillary service to sellers.... View Details
      Keywords: Two-sided Platforms; Services; Digital Platforms
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      Li, Jin, Gary Pisano, Richard Xu, and Feng Zhu. "Marketplace Scalability and Strategic Use of Platform Investment." Management Science 69, no. 7 (July 2023): 3958–3975.
      • July 2023
      • Article

      So, Who Likes You? Evidence from a Randomized Field Experiment

      By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
      With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
      Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
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      Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
      • July 2023
      • Article

      Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

      By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
      In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
      Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science
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      Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
      • 2024
      • Working Paper

      Second- versus Third-party Audit Quality: Evidence from Global Supply Chain Monitoring

      By: Maria R. Ibanez, Ashley Palmarozzo, Jodi L. Short and Michael W. Toffel
      Capitalizing on the superior credibility and flexibility and potential lower cost of external assessments, many global buyers are relying less on their own employee (“second-party”) auditors and more on third-party auditors to monitor and prevent environmental and... View Details
      Keywords: Auditing; Audit Quality; Working Conditions; Sustainability; Empirical Operations; Empirical Service Operations; Sustainability Management; Corporate Accountability; Corporate Social Responsibility and Impact; Supply Chain Management
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      Ibanez, Maria R., Ashley Palmarozzo, Jodi L. Short, and Michael W. Toffel. "Second- versus Third-party Audit Quality: Evidence from Global Supply Chain Monitoring." Working Paper, August 2024.
      • June 2023
      • Case

      The Business of Campaigns

      By: Vincent Pons and Mel Martin
      In 2022, the U.S. Congress examined the Democracy Is Strengthened by Casting Light on Spending in Elections (DISCLOSE) Act, the latest in a long series of campaign finance reforms. According to its authors, the law would be the “most consequential overhaul of federal... View Details
      Keywords: Political Elections; Government Legislation; Governing Rules, Regulations, and Reforms; Business and Government Relations; United States
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      Pons, Vincent, and Mel Martin. "The Business of Campaigns." Harvard Business School Case 723-039, June 2023.
      • June 2023
      • Supplement

      Clash of Two Giants Simulation Exercise

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complementary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Customer Acquisition; Platform Strategy; Technology Platform; Digital Platforms; Competitive Strategy; Network Effects
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise." Harvard Business School PowerPoint Supplement 623-717, June 2023.
      • June 2023
      • Exercise

      Clash of Two Giants Simulation Exercise Instructions

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Platform Strategies; Technology Platform; Customer Acquisition; Network Effects; Digital Platforms; Marketplace Matching; Strategy
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise Instructions." Harvard Business School Exercise 623-092, June 2023.
      • June 2023 (Revised October 2024)
      • Teaching Note

      Clash of Two Giants Simulation Exercise Teaching Note

      By: Feng Zhu
      Teaching Note for HBS Case No. 623-092. Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides—consumers and those providing applications or services—need access... View Details
      Keywords: Platform Strategy; Customer Acquisition; Technology Platform; Competitive Strategy; Network Effects; Digital Platforms; Management Skills
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      Zhu, Feng. "Clash of Two Giants Simulation Exercise Teaching Note." Harvard Business School Teaching Note 623-093, June 2023. (Revised October 2024.)
      • June 2023 (Revised July 2023)
      • Case

      Social Media Background Screening at Fama Technologies

      By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
      Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
      Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States
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      Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies." Harvard Business School Case 123-010, June 2023. (Revised July 2023.)
      • June 2023
      • Simulation

      Artea Dashboard and Targeting Policy Evaluation

      By: Ayelet Israeli and Eva Ascarza
      Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • June 2023
      • Technical Note

      Enhancing Your Contribution to Group Learning in Marketing

      By: Jill Avery
      How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,... View Details
      Keywords: Marketing
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      Avery, Jill. "Enhancing Your Contribution to Group Learning in Marketing." Harvard Business School Technical Note 523-115, June 2023.
      • June 20, 2023
      • Article

      Cautious Adoption of AI Can Create Positive Company Culture

      By: Joseph Pacelli and Jonas Heese
      Keywords: AI and Machine Learning; Organizational Culture; Employees
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      Pacelli, Joseph, and Jonas Heese. "Cautious Adoption of AI Can Create Positive Company Culture." CMR Insights (June 20, 2023).
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • June 19, 2023
      • Article

      Should You Start a Generative AI Company?

      By: Julian De Freitas
      Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details
      Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Applications and Software
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      De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
      • June 2023 (Revised March 2024)
      • Case

      Creating World-Class Board Governance at SECO

      By: Krishna G. Palepu and Emer Moloney
      In Spring 2023, SECO CEO Massimo Mauri had the ambition to grow the €200 million revenue technology company to a €1 billion company by 2030. Founded in Italy in the 1970s, the family-owned company had gone through a period of growth and internationalization,... View Details
      Keywords: Family Business; Business Model; Acquisition; Business Growth and Maturation; Talent and Talent Management; Customer Focus and Relationships; Engineering; Governance; Corporate Governance; Governing and Advisory Boards; Growth and Development Strategy; Compensation and Benefits; Retention; Innovation and Invention; Technological Innovation; Going Public; Strategic Planning; Business and Shareholder Relations; Business Strategy; Information Infrastructure; Information Technology; Value Creation; Organizational Change and Adaptation; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Italy; Europe; Germany; United States; China
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      Palepu, Krishna G., and Emer Moloney. "Creating World-Class Board Governance at SECO." Harvard Business School Case 123-082, June 2023. (Revised March 2024.)
      • June 2023
      • Teaching Note

      Connecting Students in Chattanooga (A) and (B)

      By: Jan W. Rivkin
      Teaching Note for HBS Case Nos. 722-449 and 722-451. As this case opens, it is the spring of 2020 in Chattanooga. COVID-19 has hit, public schools have closed their buildings, remote learning has begun, and more than 28,000 schoolkids lack the high-quality Internet... View Details
      Keywords: K-12 Education; Pandemic; COVID-19; Accessibility; Education; Urban Development; Wealth and Poverty; Internet and the Web; Information Infrastructure; Education Industry; Tennessee
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      Rivkin, Jan W. "Connecting Students in Chattanooga (A) and (B)." Harvard Business School Teaching Note 723-458, June 2023.
      • June 12, 2023
      • Article

      How AI Will Accelerate the Circular Economy

      By: Shirley Lu and George Serafeim
      Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details
      Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Industrial Products Industry; Consumer Products Industry; Technology Industry
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      Lu, Shirley, and George Serafeim. "How AI Will Accelerate the Circular Economy." Harvard Business Review Digital Articles (June 12, 2023).
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • May–June 2023
      • Article

      Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut

      By: Fabrizio Fantini and Das Narayandas
      Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details
      Keywords: Analytics and Data Science; Decision Making
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      Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
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