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      • October 2021
      • Article

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Nicolas Padilla and Eva Ascarza
      The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
      Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
      • September 2021 (Revised March 2024)
      • Case

      Tesla in 2023: 'Electrified' Competition

      By: Eric Van den Steen, Ramon Casadesus-Masanell and Karen Elterman
      Over its 17 years in existence, Tesla had redefined people’s view of electric cars, and in 2020, the company saw its stock rise by more than 700% to became the most valuable carmaker in the world. In December 2020, Tesla celebrated its fifth consecutive quarter of... View Details
      Keywords: Barrier To Entry; Competitive Advantage; Innovation; Tesla; Automotive Industry; Sustainable Competitive Advantage; Values; Vision; Learning By Doing; Economies Of Scale; Electric Vehicle; Scenario Planning; Batteries; Competitive Strategy; Product Positioning; Profit; Competition; Industry Growth; Auto Industry
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      Van den Steen, Eric, Ramon Casadesus-Masanell, and Karen Elterman. "Tesla in 2023: 'Electrified' Competition." Harvard Business School Case 722-375, September 2021. (Revised March 2024.)
      • September 2021 (Revised February 2022)
      • Case

      Sawiris Foundation: Elevating Education in Egypt

      By: Brian Trelstad and Alpana Thapar
      Founded in 2001 by the Sawiris family, one of the wealthiest families in Egypt, the Sawiris Foundation for Social Development (SFSD) invested in human capital and provision of basic social services for the most marginalized Egyptians. In 2015, Noura Selim’s (MBA 2013)... View Details
      Keywords: Sustainable Development; Social Enterprise; Education; Social Issues; Partners and Partnerships; Growth and Development Strategy; Education Industry; Egypt
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      Trelstad, Brian, and Alpana Thapar. "Sawiris Foundation: Elevating Education in Egypt." Harvard Business School Case 322-023, September 2021. (Revised February 2022.)
      • September 17, 2021
      • Article

      AI Can Help Address Inequity—If Companies Earn Users' Trust

      By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
      While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
      Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
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      Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
      • September 15, 2021
      • Article

      Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map

      By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
      A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
      Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention
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      Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
      • 2 Sep 2021
      • Interview

      Amy Edmondson

      By: Amy C. Edmondson and Deepak Jayaraman
      Amy C. Edmondson is the Novartis Professor of Leadership and Management at the Harvard Business School. Amy has been recognized by the biannual Thinkers50 global ranking of management thinkers since 2011, and most recently was ranked #3 in 2019. She studies teaming,... View Details
      Keywords: Psychological Safety; Organizational Culture; Communication; Performance Effectiveness
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      "Amy Edmondson." Episode 78. Play to Potential (podcast), September 2, 2021.
      • September 2021
      • Article

      Diagnostic Bubbles

      By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
      We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
      Keywords: Bubble; Speculation; Diagnostic Expectations; Price Bubble; Mathematical Methods
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      Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." Journal of Financial Economics 141, no. 3 (September 2021).
      • August 2021 (Revised November 2024)
      • Case

      Intenseye: Powering Workplace Health and Safety with AI (A)

      By: Michael W. Toffel and Youssef Abdel Aal
      Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s... View Details
      Keywords: Privacy; Product Development; Operations; Technological Innovation; Value Creation; Production; Distribution; Safety; Risk and Uncertainty; Technology Industry; Manufacturing Industry; Distribution Industry; Turkey; Middle East; United States
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      Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI (A)." Harvard Business School Case 622-037, August 2021. (Revised November 2024.)
      • August 2021
      • Case

      Andreessen Horowitz’s Cultural Leadership Fund (A)

      By: Anita Elberse, Briana Richardson and Cydni Williams
      In May 2020, Chris Lyons, a partner at leading venture capital firm Andreessen Horowitz receives the news that his company has reached a verbal agreement with one of Silicon Valley’s hottest social-media startups to lead its ‘Series A’ funding round, in a deal that... View Details
      Keywords: Entertainment; Talent Management; General Management; Inclusion; Talent and Talent Management; Diversity; Venture Capital; Entrepreneurship; Networks; Nonprofit Organizations
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      Elberse, Anita, Briana Richardson, and Cydni Williams. "Andreessen Horowitz’s Cultural Leadership Fund (A)." Harvard Business School Case 522-020, August 2021.
      • August 2021
      • Article

      Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

      By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
      This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
      Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
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      Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
      • Article

      The Harmonization of Lending Standards within Banks through Mandated Loan-Level Transparency

      By: Jung Koo Kang, Maria Loumioti and Regina Wittenberg-Moerman
      We explore whether the introduction of transparent reporting rules increases credit standard harmonization within a bank. We exploit the new loan-level reporting rules imposed on banks that borrow from the European Central Bank using repurchase agreements... View Details
      Keywords: Transparency; External And Internal Reporting; Credit Term Harmonization; Regulatory Scrutiny; Banks and Banking; Credit; Financial Reporting; Governing Rules, Regulations, and Reforms; Learning
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      Kang, Jung Koo, Maria Loumioti, and Regina Wittenberg-Moerman. "The Harmonization of Lending Standards within Banks through Mandated Loan-Level Transparency." Journal of Accounting & Economics 72, no. 1 (August 2021): 101386.
      • 9 Jul 2021
      • Interview

      Matthew Barzun and Amy Edmondson

      By: Amy C. Edmondson and Matthew Barzun
      Writer Matthew Barzun speaks with Harvard Professor and author Amy Edmondson about Barzun's book, "The Power of Giving Away Power: How the Best Leaders Learn to Let Go". Matthew Barzun has served as U.S. ambassador to the United Kingdom and Sweden. He served as... View Details
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      "Matthew Barzun and Amy Edmondson." Great Podversations (podcast), July 9, 2021.
      • Article

      Learning Models for Actionable Recourse

      By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
      As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
      Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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      Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 2021
      • Chapter

      Towards a Unified Framework for Fair and Stable Graph Representation Learning

      By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
      As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
      Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias
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      Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
      • Article

      Towards the Unification and Robustness of Perturbation and Gradient Based Explanations

      By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
      As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
      Keywords: Machine Learning; Black Box Explanations; Decision Making; Forecasting and Prediction; Information Technology
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      Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Perturbation and Gradient Based Explanations." Proceedings of the International Conference on Machine Learning (ICML) 38th (2021).
      • June 18, 2021
      • Article

      Research: What Inclusive Companies Have in Common

      By: J. Yo-Jud Cheng and Boris Groysberg
      A survey of more than 19,000 HBR readers found that one particular culture style differentiated the diverse and inclusive organizations from those that were not: a learning-oriented culture that emphasizes flexibility, open-mindedness, and exploration, and can equip... View Details
      Keywords: Inclusion; Diversity; Organizational Culture; Learning; Organizational Change and Adaptation; Leading Change
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      Cheng, J. Yo-Jud, and Boris Groysberg. "Research: What Inclusive Companies Have in Common." Harvard Business Review Digital Articles (June 18, 2021).
      • 16 Jun 2021
      • Interview

      Harvard Business School: How to Build Fearless Organizations

      By: Amy C. Edmondson and Ron Lovett
      Our guest is Amy Edmondson - Professor of Leadership and Management at Harvard Business School. Amy has authored multiple books, including her most recent, The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation and... View Details
      Keywords: Psychological Safety; Organizational Culture; Leadership; Diversity; Communication
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      "Harvard Business School: How to Build Fearless Organizations." No. 51. Scaling Culture (podcast), June 16, 2021.
      • June 2021
      • Case

      Mobileye 2021: Robotaxi and/or Consumer AV?

      By: David B. Yoffie, Danielle Golan and Nicole Tempest Keller
      In March 2021, Amnon Shashua, co-founder and CEO of Israel-based Mobileye, was preparing to meet with Intel’s new CEO, Pat Gelsinger, to review plans for the future. Mobileye had been acquired by California-based Intel in 2017, but still operated independently.... View Details
      Keywords: Technology Companies; Robotics; Autonomous Vehicles; Strategy; Decision Making; Transportation; Technological Innovation; Technology Industry; Auto Industry; Transportation Industry; Israel
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      Yoffie, David B., Danielle Golan, and Nicole Tempest Keller. "Mobileye 2021: Robotaxi and/or Consumer AV?" Harvard Business School Case 721-481, June 2021.
      • Article

      Is ‘Not Guilty’ the Same as ‘Innocent’? Evidence from SEC Financial Fraud Investigations

      By: Eugene F. Soltes and David H. Solomon
      When the Securities and Exchange Commission (SEC) investigates firms for financial fraud, investors learn about the investigation only if managers disclose it, or regulators sanction the firm. We investigate the effects of such disclosures using confidential records on... View Details
      Keywords: Financial Fraud; Corporate Disclosure; Performance; Outcome or Result
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      Soltes, Eugene F., and David H. Solomon. "Is ‘Not Guilty’ the Same as ‘Innocent’? Evidence from SEC Financial Fraud Investigations." Journal of Empirical Legal Studies 18, no. 2 (June 2021): 287–327.
      • 2021
      • Working Paper

      Regulatory Approval and Expanded Market Size

      By: Benjamin Berger, Amitabh Chandra and Craig Garthwaite
      Regulatory review of new medicines is often viewed as a hindrance to innovation by increasing the hurdle to bring products to market. However, a more complete accounting of regulation must also account for its potential market expanding effects through quality... View Details
      Keywords: New Medicines; Regulatory Approval; Health Care and Treatment; Research and Development; Governing Rules, Regulations, and Reforms; Markets; Expansion; Pharmaceutical Industry
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      Berger, Benjamin, Amitabh Chandra, and Craig Garthwaite. "Regulatory Approval and Expanded Market Size." NBER Working Paper Series, No. 28889, June 2021.
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