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Publications

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      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • 2023
      • Working Paper

      Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks

      By: Shelley Xin Li, Frank Nagle and Aner Zhou
      Organization-level networks facilitate the flow of information and business activities in the economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to understand the role of employee connections at all job levels in... View Details
      Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
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      Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
      • 2023
      • Working Paper

      Targeting, Personalization, and Engagement in an Agricultural Advisory Service

      By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
      ICT is increasingly used to deliver customized information in developing countries. We examine whether individually targeting the timing of automated voice calls meaningfully increases engagement in an agricultural advisory service. We define, estimate, and... View Details
      Keywords: Developing Countries and Economies; Knowledge Dissemination; Customization and Personalization; Performance Effectiveness
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      Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
      • 2023
      • Working Paper

      Do Third-Party Guarantors Reassure Foot Soldiers?

      By: Natalia Garbiras-Díaz, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque and Laia Balcells
      Since the end of the Cold War, international third parties such as the United Nations (UN) have become frequent guarantors of peace agreements. Existing studies document that third parties provide assurances that help maintain peace, yet these studies nearly... View Details
      Keywords: United Nations; Colombia; Peacemaking; Peace Process; Peace; Civil Unrest; Civil Society; Political Leadership; Policy; Civil Society or Community; Governance; Government and Politics; Economy; Economic Growth; Latin America; South America; Colombia
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      Garbiras-Díaz, Natalia, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque, and Laia Balcells. "Do Third-Party Guarantors Reassure Foot Soldiers?" Working Paper, August 2023.
      • August 2023
      • Supplement

      Reimagining Hindustan Unilever (B)

      By: Sunil Gupta and Rachna Tahilyani
      In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an... View Details
      Keywords: Experimentation; Digital Transformation; Digital Strategy; Leading Change; Organizational Change and Adaptation; Business Strategy; Marketing; Performance; Competition; E-commerce; Consumer Behavior; Transformation; Distribution; Decisions; Consumer Products Industry; Asia; India
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      Gupta, Sunil, and Rachna Tahilyani. "Reimagining Hindustan Unilever (B)." Harvard Business School Supplement 524-022, August 2023.
      • 2023
      • Article

      Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma

      By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
      In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,... View Details
      Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; India
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      Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
      • 2023
      • Working Paper

      Learning to Use: Stack Overflow and Technology Adoption

      By: Daniel Jay Brown and Maria P. Roche
      In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details
      Keywords: Technology Adoption; Knowledge Sharing
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      Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
      • July 2023
      • Article

      Design and Analysis of Switchback Experiments

      By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
      In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
      Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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      Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
      • June 2023
      • Case

      Launching Egypt’s First Digital Banking Platform: QNB Bebasata

      By: Mark Egan, Billy Chan and Ahmed Dahawy
      The leadership team at QNB Alahli, Egypt's second biggest private bank, looked back on their efforts to create a brand-new, fully digital banking platform since 2019. A digital-only banking service was unprecedented in Egypt, a country where over 90% of financial... View Details
      Keywords: Digital Transformation; Banks and Banking; Innovation and Invention; Competitive Strategy; Business Model; Product Launch; Finance; Banking Industry; Egypt
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      Egan, Mark, Billy Chan, and Ahmed Dahawy. "Launching Egypt’s First Digital Banking Platform: QNB Bebasata." Harvard Business School Case 223-091, June 2023.
      • 2023
      • Working Paper

      Evaluation and Learning in R&D Investment

      By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
      We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
      Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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      Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 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.
      • June 2023
      • Article

      The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19

      By: Lisa Yao Liu and Shirley Lu
      We show that information exposure through international business networks enables firms to take proactive measures that benefit employees and potentially the local community. Specifically, in the early days of COVID-19, firms that have business networks with China and... View Details
      Keywords: COVID-19 Pandemic; Networks; Knowledge Use and Leverage; Health Pandemics; Decision Choices and Conditions; Corporate Social Responsibility and Impact
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      Liu, Lisa Yao, and Shirley Lu. "The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19." Journal of Accounting Research 61, no. 3 (June 2023): 891–933.
      • June 2023
      • Article

      The Salary Taboo: Privacy Norms and the Diffusion of Information

      By: Zoë Cullen and Ricardo Perez-Truglia
      The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details
      Keywords: Search Costs; Privacy; Norms; Compensation; Financial Industry; Field Experiment; Knowledge Dissemination; Equality and Inequality; Gender; Compensation and Benefits; Societal Protocols
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      Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
      • June, 2023
      • Article

      Walking the Purpose-Talk Inside a Large Company: Sustainable Product Development as an Instance of Divergent Change

      By: Marissa Kimsey, Thijs Geradts and Julie Battilana
      There is a growing interest in large companies pursuing a new purpose—changing their core reason for being from a singular focus on financial gain to a renewed responsibility to people and the planet alongside profit. Yet knowledge of how a large company can walk that... View Details
      Keywords: Product Development; Environmental Sustainability; Mission and Purpose; Leading Change
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      Kimsey, Marissa, Thijs Geradts, and Julie Battilana. "Walking the Purpose-Talk Inside a Large Company: Sustainable Product Development as an Instance of Divergent Change." Special Issue on Corporate Purpose. Strategy Science 8, no. 2 (June, 2023): 311–321.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • April 2023
      • Supplement

      Fresh Food Generation

      By: Brian Trelstad
      Instructors should consider the timing of making videos available to students, as they may reveal key case details.

      This case highlights one of five BIPOC entrepreneuers in the Boston area as part of the HBS Impact Investment Fund. In fall 2021, a team of... View Details
      Keywords: Growth and Development Strategy; Entrepreneurship; Race; Food and Beverage Industry
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      Trelstad, Brian. "Fresh Food Generation." Harvard Business School Multimedia/Video Supplement 323-704, April 2023.
      • 2023
      • Working Paper

      How Wicked Problems Drive Business Performance: A Review of the Academic Literature

      By: Caroline Adelson, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price and Marco Iansiti
      Recent years have seen a rise in the number of businesses engaged in the pursuit of “purposeful” activities – that is, activities that engage with the broader community in ways that expand beyond the pursuit of shareholder value. Many of these activities involve... View Details
      Keywords: Wicked Problems; Corporate Social Responsibility and Impact; Social Issues; Performance
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      Adelson, Caroline, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price, and Marco Iansiti. "How Wicked Problems Drive Business Performance: A Review of the Academic Literature." Harvard Business School Working Paper, No. 23-064, April 2023.
      • April 2023
      • Article

      Inattentive Inference

      By: Thomas Graeber
      This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
      Keywords: Cognition and Thinking; Information Types; Behavior; Knowledge Acquisition
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      Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
      • April 2023
      • Article

      Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below

      By: Ting Zhang, Dan Wang and Adam D. Galinsky
      Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which... View Details
      Keywords: Mentoring; Learning Direction; Interpersonal Communication; Learning; Leadership Development
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      Zhang, Ting, Dan Wang, and Adam D. Galinsky. "Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below." Academy of Management Journal 66, no. 2 (April 2023): 604–637.
      • March–April 2023
      • Article

      Pricing for Heterogeneous Products: Analytics for Ticket Reselling

      By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
      Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
      Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
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      Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
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