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Publications

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    • All HBS Web  (2,002)
      • Faculty Publications  (486)

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      • August 2021
      • Article

      Multiple Imputation Using Gaussian Copulas

      By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
      Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
      Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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      Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
      • 2021
      • Working Paper

      The Value of Data and Its Impact on Competition

      By: Marco Iansiti
      Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
      Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition; Digital Platforms
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      Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
      • 2021
      • Article

      Decarbonizing Everything

      By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim, David Turkington and Hui (Stacie) Wang
      We analyze how the use of different climate risk measures leads to different portfolio carbon outcomes and risk-adjusted returns. Our findings are synthesized in a rules-based investment framework, which selects a different type of climate metric across industries and... View Details
      Keywords: Climate Risk; ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Disclosure Metrics; ESG Ratings; Investing; Investing For Impact; Investment Strategy; Environment; Decarbonization; Climate Change; Environmental Sustainability; Environmental Management; Environmental Accounting; Investment; Strategy; Investment Portfolio; Investment Return
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      Cheema-Fox, Alex, Bridget LaPerla, George Serafeim, David Turkington, and Hui (Stacie) Wang. "Decarbonizing Everything." Financial Analysts Journal 77, no. 3 (2021): 93–108.
      • June 2021 (Revised November 2024)
      • Case

      MicroStrategy: Accounting for Cryptocurrency

      By: Jonas Heese and Annelena Lobb
      On February 15, 2021, Alina Moss, an analyst who covered the technology company MicroStrategy, pondered a rise in MicroStrategy’s share price. Moss had dialed into the company earnings call. When it ended, Moss had more questions than answers. MicroStrategy had... View Details
      Keywords: Cryptocurrency; Share Price; Electronic Commerce; Intangible Assets; Assets; Accounting; Financial Statements; Financial Management; Financial Reporting; Analytics and Data Science; E-commerce
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      Heese, Jonas, and Annelena Lobb. "MicroStrategy: Accounting for Cryptocurrency." Harvard Business School Case 121-066, June 2021. (Revised November 2024.)
      • 2021
      • Working Paper

      Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors

      By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski
      Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have... View Details
      Keywords: Impact Investing; Impact Portfolio Companies; Investment; Social Issues; Environmental Sustainability; Investment Portfolio; Business Ventures; Analytics and Data Science; Performance; United States
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      Burton, M. Diane, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu, and T. Robert Zochowski. "Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors." Harvard Business School Working Paper, No. 21-130, June 2021.
      • June 2021
      • Article

      Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative

      By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
      We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details
      Keywords: Value-based Health Care; Health Care and Treatment; Analytics and Data Science; Outcome or Result; Measurement and Metrics; Performance Improvement
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      Allen, Casey J., Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala, and Matthew H.G. Katz. "Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative." Journal of Surgical Research 262 (June 2021): 115–120.
      • July–August 2021
      • Article

      Why You Aren't Getting More from Your Marketing AI

      By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
      Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
      Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
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      Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
      • May 2021
      • Simulation

      Customer Compatibility Exercise Application

      By: Ryan W. Buell
      Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details
      Keywords: Customer Compatibility; Customer Relationship Management; Strategy; Service Operations; Service Delivery; Performance Efficiency; Analysis; Consumer Behavior; Analytics and Data Science
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      Buell, Ryan W. "Customer Compatibility Exercise Application." Harvard Business School Simulation 620-707, May 2021.
      • May 2021 (Revised February 2024)
      • Teaching Note

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

      By: Ayelet Israeli and Jill Avery
      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; 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; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
      • May 2021
      • Article

      The Firm Next Door: Using Satellite Images to Study Local Information Advantage

      By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
      We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level... View Details
      Keywords: Satellite Images; Store-level Performance; Institutional Investors; Local Advantage; Overweighting; Processing Costs; Alternative Data; Big Data; Emerging Technologies; Information; Quality; Institutional Investing; Decision Making; Behavioral Finance; Analytics and Data Science
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      Kang, Jung Koo, Lorien Stice-Lawrence, and Forester Wong. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage." Journal of Accounting Research 59, no. 2 (May 2021): 713–750.
      • 2020
      • Working Paper

      Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

      By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
      We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
      Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
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      Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
      • April 2021
      • Case

      Glass-Shattering Leaders: Ros Atkins

      By: Boris Groysberg and Colleen Ammerman
      Ros Atkins launched the 50:50 Project on a BBC news program he anchored, deciding with his team to start tracking the gender of the contributors and experts featured on the show. Before long, it was clear that monitoring the data led to increased awareness of a gender... View Details
      Keywords: Gender Equality; Allyship; Representation; Leadership; Gender; Equality and Inequality; Media; Analytics and Data Science
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      Groysberg, Boris, and Colleen Ammerman. "Glass-Shattering Leaders: Ros Atkins." Harvard Business School Case 421-075, April 2021.
      • April 2021 (Revised July 2021)
      • Case

      StockX: The Stock Market of Things (Abridged)

      By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
      Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
      Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Apparel and Accessories Industry; North and Central America; United States; Michigan; Detroit
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      Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things (Abridged)." Harvard Business School Case 621-107, April 2021. (Revised July 2021.)
      • 2021
      • Working Paper

      Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage

      By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
      How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details
      Keywords: Server Software; Open Source Distribution; Applications and Software; Analytics and Data Science; Economics; Value Creation; Measurement and Metrics
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      Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage." NBER Working Paper Series, No. 28738, April 2021.
      • March 2021
      • Supplement

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
      Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
      • 2021
      • Working Paper

      Time Dependency, Data Flow, and Competitive Advantage

      By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
      Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
      Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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      Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
      • March 2021 (Revised January 2022)
      • Case

      Philips: Redefining Telehealth

      By: Regina E. Herzlinger, Alec Petersen, Natalie Kindred and Sara M. McKinley
      As one of the world’s largest healthcare companies, Philips sought to reach beyond the walls of the hospital and expand its hospital-to-home program to gain future competitive advantage through technology solutions combining predictive analytics with care delivery. By... View Details
      Keywords: Health Care; Philips; Visicu; Telemedicine; eICU; Accountable Care Organization; ACO; Bundled Payment; Hospital To Home; Patient Monitoring Devices; Home Health Care; Health Care and Treatment; Communication Technology; Quality; Safety; Performance Productivity; Performance Capacity; Performance Efficiency; Consumer Behavior; Emerging Markets; Health Industry; Telecommunications Industry; Netherlands
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      Herzlinger, Regina E., Alec Petersen, Natalie Kindred, and Sara M. McKinley. "Philips: Redefining Telehealth." Harvard Business School Case 321-135, March 2021. (Revised January 2022.) (As companion reading for this case, see: Regina E. Herzlinger and Charles Huang. "Note on Bundled Payment in Health Care," HBS Background Note 312-032.)
      • Article

      A Multicountry Perspective on Gender Differences in Time Use During COVID-19

      By: Laura M. Giurge, Ashley V. Whillans and Ayse Yemiscigil (shared authorship)
      The COVID-19 pandemic has fundamentally altered how people spend time, with possible consequences for subjective well-being. Using diverse samples of remote workers from the United States, Canada, Denmark, Brazil, and Spain (n = 31,141), following a preregistered... View Details
      Keywords: Time; Subjective Well-being; COVID-19; Health Pandemics; Gender; Time Management; Well-being; Work-Life Balance; Global Range
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      Giurge, Laura M., Ashley V. Whillans, and Ayse Yemiscigil (shared authorship). "A Multicountry Perspective on Gender Differences in Time Use During COVID-19." Proceedings of the National Academy of Sciences 118, no. 12 (March 23, 2021).
      • March 17, 2021
      • Other Article

      Beyond Pajamas: Sizing Up the Pandemic Shopper

      By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
      A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
      While the pandemic is still playing out, our preliminary investigations... View Details
      Keywords: Retail; Retail Analytics; Consumer; Pandemic; COVID; COVID-19; Apparel; Ecommerce; Online Shopping; Online Apparel; Online Sales; Returns; CRM; Customer Retention; Customer Experience; Customer Value; Digital; Customer Focus and Relationships; Customers; Health Pandemics; Consumer Behavior; Customer Relationship Management; Internet and the Web; Behavior; E-commerce; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States; United Kingdom
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      Israeli, Ayelet, Eva Ascarza, and Laura Castrillo. "Beyond Pajamas: Sizing Up the Pandemic Shopper." Harvard Business School Working Knowledge (March 17, 2021).
      • 2022
      • Article

      Gender Inequality in Research Productivity During the COVID-19 Pandemic

      By: Ruomeng Cui, Hao Ding and Feng Zhu
      We study the disproportionate impact of the lockdown as a result of the COVID-19 outbreak on female and male academics' research productivity in social science. The lockdown has caused substantial disruptions to academic activities, requiring people to work from home.... View Details
      Keywords: Gender Inequality; Research Productivity; Telecommuting; COVID-19 Pandemic; Research; Performance Productivity; Gender; Equality and Inequality; Health Pandemics
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      Cui, Ruomeng, Hao Ding, and Feng Zhu. "Gender Inequality in Research Productivity During the COVID-19 Pandemic." Manufacturing & Service Operations Management 24, no. 2 (March–April 2022): 707–726.
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