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      • October 2017 (Revised April 2018)
      • Case

      Improving Worker Safety in the Era of Machine Learning (A)

      By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
      Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
      Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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      Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
      • 2017
      • Working Paper

      Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments

      By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
      This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
      Keywords: Probability; Economic Theory; Analysis; Incentives
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      Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
      • Article

      Pseudo-Set Framing

      By: Kate Barasz, Leslie John, Elizabeth A. Keenan and Michael I. Norton
      Pseudo-set framing—arbitrarily grouping items or tasks together as part of an apparent “set”—motivates people to reach perceived completion points. Pseudo-set framing changes gambling choices (Study 1), effort (Studies 2 and 3), giving behavior (Field Data and Study... View Details
      Keywords: Framing Effects; Gestalt Psychology; Judgment; Judgments; Decision Making; Perception; Behavior
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      Barasz, Kate, Leslie John, Elizabeth A. Keenan, and Michael I. Norton. "Pseudo-Set Framing." Journal of Experimental Psychology: General 146, no. 10 (October 2017): 1460–1477.
      • September 2017
      • Article

      The Belief in a Favorable Future

      By: Todd Rogers, Don A. Moore and Michael I. Norton
      People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others... View Details
      Keywords: Social Cognition; Judgment; Prediction; Forecasting; False Consensus; Donation; Open Data; Open Materials; Preregistered; Forecasting and Prediction; Perception; Values and Beliefs; Behavior
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      Rogers, Todd, Don A. Moore, and Michael I. Norton. "The Belief in a Favorable Future." Psychological Science 28, no. 9 (September 2017): 1290–1301.
      • August 2017 (Revised July 2018)
      • Case

      MannKind Corporation: Take a Deep Breath, This Time Afrezza Will Work

      By: Elie Ofek and Amanda Dai
      In June 2014, MannKind Corporation announced that after years of development and billions of dollars in expenses, the FDA had finally approved its drug, Afrezza. MannKind would thus be the only company with an inhalable insulin on the market. As an alternative to... View Details
      Keywords: Health Care and Treatment; Product Launch; Product Positioning; Marketing Strategy; Adoption; Pharmaceutical Industry
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      Ofek, Elie, and Amanda Dai. "MannKind Corporation: Take a Deep Breath, This Time Afrezza Will Work." Harvard Business School Case 518-031, August 2017. (Revised July 2018.)
      • Article

      The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables

      By: Himabindu Lakkaraju, Jon Kleinberg, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
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      Lakkaraju, Himabindu, Jon Kleinberg, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 23rd (2017).
      • July 2017 (Revised December 2018)
      • Case

      Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era

      By: Rafael Di Tella and Sarah McAra
      During the 2016 U.S. election, long-time politician Hillary Clinton, a Democrat, and celebrity billionaire Donald Trump, a Republican, faced off in a contentious race for president. In the primaries, candidates from both major political parties used anti-establishment... View Details
      Keywords: Populism; Elites; Income Inequality; Government and Politics; Globalization; Political Elections; News; Media; Labor; Prejudice and Bias; Public Opinion; Social Issues; Wealth and Poverty; Social Media
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      Di Tella, Rafael, and Sarah McAra. "Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era." Harvard Business School Case 718-005, July 2017. (Revised December 2018.)
      • 2017
      • Article

      Computer Vision Uncovers Predictors of Physical Urban Change

      By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and César A. Hidalgo
      Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the physical appearance of five U.S.... View Details
      Keywords: Urban Economics; Gentrification; Urban Studies; Computer Vision; Nieghborhood Effects; Urban Development; Situation or Environment; Demographics; Economics; Change
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      Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and César A. Hidalgo. "Computer Vision Uncovers Predictors of Physical Urban Change." Proceedings of the National Academy of Sciences 114, no. 29 (July 18, 2017).
      • Other Article

      Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities

      By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant and Lee Doolan
      Employing software metrics, such as size and complexity, for predicting defects has been given a lot of attention over the years and proven very useful. However, the few studies looking at software architecture and vulnerabilities are limited in scope and findings. We... View Details
      Keywords: Security Vulnerabilities; Software Architecture; Metrics; Software; Complexity; Measurement and Metrics
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      Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant, and Lee Doolan. "Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities." Proceedings of the International Symposium on Engineering Secure Software and Systems (ESSoS) 9th (2017): 53–69. (Part of Lecture Notes in Computer Science, ISSN 0302-9743.)
      • 2017
      • Working Paper

      Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model

      By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
      From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details
      Keywords: Multinationals; Knowledge Flows; Cosine Similarity; Gravity Model; Multinational Firms and Management; Knowledge Dissemination; Business Headquarters; Immigration
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      Choudhury, Prithwiraj, Mike Horia Teodorescu, and Tarun Khanna. "Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model." Working Paper, July 2017.
      • Article

      Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting

      By: Louis Kaplow and Scott Duke Kominers
      Who will vote quadratically in large-N elections under quadratic voting (QV)? First, who will vote? Although the core QV literature assumes that everyone votes, turnout is endogenous. Drawing on other work, we consider the representativeness of endogenously... View Details
      Keywords: Voting Turnout; Paradox Of Voting; Quadratic Voting; Pivotality; Elections; Voting; Political Elections; Mathematical Methods
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      Kaplow, Louis, and Scott Duke Kominers. "Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting." Special Issue on Quadratic Voting and the Public Good. Public Choice 172, nos. 1-2 (July 2017): 125–149.
      • August 2017
      • Article

      Is the SEC Captured? Evidence from Comment-Letter Reviews

      By: Jonas Heese, Mozaffar Khan and Karthik Ramanna
      SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,... View Details
      Keywords: Comment Letters; Political Connections; Regulatory Capture; SEC Enforcement; Government Administration; Business and Government Relations; Government and Politics
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      Heese, Jonas, Mozaffar Khan, and Karthik Ramanna. "Is the SEC Captured? Evidence from Comment-Letter Reviews." Journal of Accounting & Economics 64, no. 1 (August 2017). (Revised June 2017.)
      • June 2017
      • Article

      When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology

      By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
      Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details
      Keywords: Ritual; Intergroup Dynamics; Intergroup Bias; Neural Reward Processing; Open Data; Open Materials; Preregistered; Groups and Teams; Behavior; Prejudice and Bias; Cooperation
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      Hobson, Nicholas M., Francesca Gino, Michael I. Norton, and Michael Inzlicht. "When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology." Psychological Science 28, no. 6 (June 2017): 733–750.
      • May 2017 (Revised March 2018)
      • Case

      Predicting Consumer Tastes with Big Data at Gap

      By: Ayelet Israeli and Jill Avery
      CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
      Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
      • May 2017
      • Case

      Four Products: Predicting Diffusion (2017)

      By: John Gourville
      One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details
      Keywords: Diffusion Processes; Product Adoption; Forecasting and Prediction; Product; Product Launch; Marketing
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      Gourville, John. "Four Products: Predicting Diffusion (2017)." Harvard Business School Case 517-121, May 2017.
      • April 14, 2017
      • Article

      Companies Like United Need to Cultivate Good Judgment, and Free Their Employees to Use It

      By: John A. Deighton
      United Airlines has pledged to improve its training programs and empower its employees to put customers first in the wake of a video showing a passenger being dragged from a plane. Of all the U.S. air carriers, United should have known the power of social media and... View Details
      Keywords: Crisis Management; Customer Focus and Relationships; Employees; Training; Air Transportation Industry
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      Deighton, John A. "Companies Like United Need to Cultivate Good Judgment, and Free Their Employees to Use It." Harvard Business Review (website) (April 14, 2017).
      • April–May 2017
      • Article

      Career Concerns of Banking Analysts

      By: Joanne Horton, George Serafeim and Shan Wu
      We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and bank managers. We show that banking analysts issue early in the year relatively more optimistic and later in the year more pessimistic forecasts... View Details
      Keywords: Sell-side Analysts; Analyst Forecasts; Analysts; Investment Recommendations; Career Advancement; Career Management; Labor Mobility; Labor Market; Prejudice and Bias; Personal Development and Career; Forecasting and Prediction; Investment Banking
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      Horton, Joanne, George Serafeim, and Shan Wu. "Career Concerns of Banking Analysts." Journal of Accounting & Economics 63, nos. 2-3 (April–May 2017): 231–252.
      • March 2017 (Revised February 2025)
      • Case

      Edwin Land: The Art and Science of Innovation

      By: Tom Nicholas, Christopher T. Stanton and Matthew G. Preble
      Throughout the second half of the 20th century, Polaroid first invented—and then continuously reinvented—the field of instant photography. Under the leadership of its mercurial founder Edwin Land, the company regularly released new instant cameras and films, often... View Details
      Keywords: Instant Photography; Company History; Change Management; Disruption; Forecasting and Prediction; Entrepreneurship; Business History; Innovation Strategy; Disruptive Innovation; Innovation and Management; Intellectual Property; Patents; Product Marketing; Brands and Branding; Product Launch; Product Development; Chemical Industry; Consumer Products Industry; United States
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      Nicholas, Tom, Christopher T. Stanton, and Matthew G. Preble. "Edwin Land: The Art and Science of Innovation." Harvard Business School Case 817-107, March 2017. (Revised February 2025.)
      • March 2017 (Revised March 2022)
      • Case

      Flashion: Art vs. Science in Fashion Retailing

      By: Kris Ferreira and Karim R. Lakhani
      Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
      Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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      Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
      • 2017
      • Working Paper

      Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers

      By: Elisabeth Kempf, Alberto Manconi and Oliver Spalt
      Learning by doing matters for professional investors. We develop a new methodology to show that mutual fund managers outperform in industries where they have obtained experience on the job. The key to our identification strategy is that we look "inside" funds and... View Details
      Keywords: Fund Managers; Experience and Expertise; Performance; Forecasting and Prediction
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      Kempf, Elisabeth, Alberto Manconi, and Oliver Spalt. "Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers." SSRN Working Paper Series, No. 2124896, May 2017.
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