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      • January 2024 (Revised February 2024)
      • Course Overview Note

      Managing Customers for Growth: Course Overview for Students

      By: Eva Ascarza
      Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
      Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
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      Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
      • January 2024
      • Case

      BWX Technologies

      By: Suraj Srinivasan, Yuan Zou and Aldo Sesia
      Rex Geveden and Robb LeMasters, CEO and CFO of BWX Technologies, Inc. (BWXT), were concerned that investors and analysts did not fully appreciate the company's transformation from a nuclear reactor provider to the US Navy and Canadian utilities to a multi-product line... View Details
      Keywords: Transformation; Communication Intention and Meaning; Business and Shareholder Relations; Valuation; Diversification; United States; Canada
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      Srinivasan, Suraj, Yuan Zou, and Aldo Sesia. "BWX Technologies." Harvard Business School Case 124-071, January 2024.
      • January 2024 (Revised February 2024)
      • Case

      OpenAI: Idealism Meets Capitalism

      By: Shikhar Ghosh and Shweta Bagai
      In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a... View Details
      Keywords: AI; AI and Machine Learning; Governing and Advisory Boards; Ethics; Strategy; Technological Innovation; Leadership
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      Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
      • January 2024
      • Case

      National Football League and Private 5G

      By: Andy Wu, Grant Son and Shuoyu Chen
      On September 9, 2021, the National Football League (NFL) designated Verizon as its official 5G partner in a 10-year deal, committed to enhance the experience for NFL teams, players, and fans in stadiums. NFL Commissioner Roger Goodell said, “Verizon will help us... View Details
      Keywords: Football; National Football League; 5G; Verizon; Communication Technology; Mobile and Wireless Technology; Technology Adoption; Risk and Uncertainty; Business Strategy; Collaborative Innovation and Invention; Sports Industry; Telecommunications Industry
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      Wu, Andy, Grant Son, and Shuoyu Chen. "National Football League and Private 5G." Harvard Business School Case 724-433, January 2024.
      • January 2024 (Revised May 2024)
      • Case

      Private 5G Networks

      By: Andy Wu and Maggie Yang
      In the late 2010’s, 5G emerged as a new standard in communication technology. 5G was designed to enable ultra-reliable low-latency communications (URLLC), massive machine-type communication (MMTC), and enhanced mobile broadband (EMBB) (see Exhibit 1 for a detailed... View Details
      Keywords: 5G; Communication Technology; Mobile and Wireless Technology; Technological Innovation; Innovation Strategy; Telecommunications Industry
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      Wu, Andy, and Maggie Yang. "Private 5G Networks." Harvard Business School Case 724-430, January 2024. (Revised May 2024.)
      • January 2024 (Revised February 2024)
      • Case

      Data-Driven Denim: Financial Forecasting at Levi Strauss

      By: Mark Egan
      The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
      Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
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      Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
      • January 2024
      • Article

      A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder

      By: Sarah E. Wakeman, Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe and Robert S. Kaplan
      The US fee-for-service payment system under-reimburses clinics offering access to comprehensive treatments for opioid use disorder (OUD). The funding shortfall limits a clinic’s ability to expand and improve access, especially for socially marginalized patients with... View Details
      Keywords: Health Care and Treatment; Cost; Equality and Inequality; Health Industry
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      Wakeman, Sarah E., Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe, and Robert S. Kaplan. "A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder." Journal of Behavioral Health Services & Research 51, no. 1 (January 2024): 22–30.
      • 2024
      • Working Paper

      Bootstrap Diagnostics for Irregular Estimators

      By: Isaiah Andrews and Jesse M. Shapiro
      Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details
      Keywords: Mathematical Methods; Decision Choices and Conditions
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      Andrews, Isaiah, and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." NBER Working Paper Series, No. 32038, January 2024.
      • January 2024
      • Article

      Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger

      By: Chiara Farronato, Jessica Fong and Andrey Fradkin
      Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
      Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
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      Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
      • 2024
      • Working Paper

      Employer-Based Short-Term Savings Accounts

      By: Sarah Holmes Berk, John Beshears, Jay Garg, James J. Choi and David Laibson
      We study the introduction of a choice architecture design intended to increase short-term savings among employees at five U.K. firms. Employees were offered the opportunity to opt into a payroll deduction program that auto-deposits funds from each paycheck into a... View Details
      Keywords: Behavior; Personal Finance; Investment Funds; Employees; Saving; United Kingdom
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      Berk, Sarah Holmes, John Beshears, Jay Garg, James J. Choi, and David Laibson. "Employer-Based Short-Term Savings Accounts." NBER Working Paper Series, No. 32074, January 2024.
      • January 2024
      • Article

      Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers

      By: Ufuk Akcigit, Sina T. Ates, Josh Lerner, Richard Townsend and Yulia Zhestkova
      The treatment of foreign investors is a contentious topic in U.S. entrepreneurship policy. We model a setting where foreign corporate investments in Silicon Valley may allow U.S. entrepreneurs to pursue technologies that they could not otherwise, but may also lead to... View Details
      Keywords: Innovation; Corporate Venture Capital; Knowledge Spillovers; Foreign Direct Investment; Innovation and Invention; Venture Capital; Entrepreneurship; Policy
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      Akcigit, Ufuk, Sina T. Ates, Josh Lerner, Richard Townsend, and Yulia Zhestkova. "Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers." Journal of Monetary Economics 141 (January 2024): 14–39.
      • January 2024
      • Article

      Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment

      By: Achyuta Adhvaryu, Theresa Molina, Anant Nyshadham and Jorge Tamayo
      Can investing in children who faced adverse events in early childhood help them catch up? We answer this question using two orthogonal sources of variation – resource availability at birth (local rainfall) and cash incentives for school enrollment – to identify the... View Details
      Keywords: Children; Outcome or Result; Welfare; Early Childhood Education; Weather
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      Adhvaryu, Achyuta, Theresa Molina, Anant Nyshadham, and Jorge Tamayo. "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment." Economic Journal 134, no. 657 (January 2024): 1–22.
      • 2024
      • Working Paper

      Lost in Transmission

      By: Thomas Graeber, Shakked Noy and Christopher Roth
      For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to... View Details
      Keywords: Information Trnasmission; Word Of Mouth; Word-of-Mouth; Narratives; Reliability; Knowledge Sharing; Spoken Communication; Cognition and Thinking
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      Graeber, Thomas, Shakked Noy, and Christopher Roth. "Lost in Transmission." Harvard Business School Working Paper, No. 24-047, January 2024.
      • 2024
      • Conference Paper

      Quantifying Uncertainty in Natural Language Explanations of Large Language Models

      By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
      Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details
      Keywords: Large Language Model; AI and Machine Learning
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      Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
      • January–February 2024
      • Article

      Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments

      By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
      Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
      Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; Performance Improvement
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      Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
      • January 2024
      • Article

      Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics

      By: Rui Cao, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector and Tianzhong Yang
      Multi-trait analysis has been shown to have greater statistical power than single-trait analysis. Most of the existing multi-trait analysis methods only work with a limited number of traits and usually prioritize high statistical power over identifying relevant traits,... View Details
      Keywords: Mathematical Methods; Health Disorders
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      Cao, Rui, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector, and Tianzhong Yang. "Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics." Bioinformatics 40, no. 1 (January 2024).
      • 2024
      • Article

      Technological Adoption and Taxation: The Case of China's Golden Tax Reform

      By: Haichao Fan, Yu Liu, Nancy Qian and Jaya Y. Wen
      This paper investigates the effect of Phase 2 of the Golden Tax Project on VAT in China. The reform introduced computer-generated invoices and electronic transaction linking. Using a difference-in-differences strategy, we show that the reform increased VAT by reducing... View Details
      Keywords: Taxation; Governing Rules, Regulations, and Reforms; Technological Innovation; Economic Growth; China
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      Fan, Haichao, Yu Liu, Nancy Qian, and Jaya Y. Wen. "Technological Adoption and Taxation: The Case of China's Golden Tax Reform." Tax Policy and the Economy 38 (2024): 101–122.
      • 2024
      • Report

      The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy

      By: Suraj Srinivasan, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat and Vaishnavee Ananth
      Since the proliferation of smartphones and social media in the late 2000s, digital has captured an increasingly large portion of the economy. In this Capgemini Research Institute report, The Eco-Digital EraTM: The dual transition to a sustainable and... View Details
      Keywords: Technology Adoption; Digital Transformation; Environmental Sustainability; Trends
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      Srinivasan, Suraj, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat, and Vaishnavee Ananth. "The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy." Report, Capgemini Research Institute, January 2024.
      • 2024
      • Book

      The Everything Token: How NFTs and Web3 Will Transform the Way We Buy, Sell, and Create

      By: Steve Kaczynski and Scott Duke Kominers
      We demystify the coming digital revolution, showing how NFTs will transform our online and offline interactions.

      NFTs aren’t just pictures on the internet, or a fad that has come and gone. Rather, they’re a new technology for creating digital assets and... View Details
      Keywords: Economic Systems; Microeconomics; Entrepreneurship; Cultural Entrepreneurship; Information Technology; Innovation and Invention; Innovation Strategy; Digital Platforms; Digital Strategy; Digital Transformation; Internet and the Web; Technology Adoption; Marketing; Marketing Strategy; Product Marketing; Product Positioning; Markets; E-commerce; Market Design; Value; Customer Value and Value Chain; Collaborative Innovation and Invention; Innovation and Management; Organizational Structure; Customer Ownership; Ownership; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry
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      Kaczynski, Steve, and Scott Duke Kominers. The Everything Token: How NFTs and Web3 Will Transform the Way We Buy, Sell, and Create. Portfolio/Penguin, 2024.
      • 2024
      • Working Paper

      The Impact of Culture Consistency on Subunit Outcomes

      By: Jasmijn Bol, Robert Grasser, Serena Loftus and Tatiana Sandino
      We examine the association between subunit culture consistency—defined as the congruence between the organizational values espoused by top management and those perceived and practiced by subunit employees—and subunit outcomes. Using data from 235 subunits of a... View Details
      Keywords: Organizational Culture; Employees; Creativity; Satisfaction
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      Bol, Jasmijn, Robert Grasser, Serena Loftus, and Tatiana Sandino. "The Impact of Culture Consistency on Subunit Outcomes." Working Paper, December 2024.
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