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      • Faculty Publications  (604)

      Performance Effectiveness Remove Performance Effectiveness →

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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.
      • September 2023
      • Article

      The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation

      By: Jean-François Harvey, Johnathan R. Cromwell, Kevin J. Johnson and Amy C. Edmondson
      Innovation teams must navigate inherent tensions between different learning activities to produce high levels of performance. Yet, we know little about how teams combine these activities—notably reflexive, experimental, vicarious, and contextual learning—most...  View Details
      Keywords: Groups and Teams; Learning; Performance Effectiveness; Collaborative Innovation and Invention
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      Harvey, Jean-François, Johnathan R. Cromwell, Kevin J. Johnson, and Amy C. Edmondson. "The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation." Administrative Science Quarterly 68, no. 3 (September 2023): 601–647.
      • 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.
      • 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: Distribution; Decisions; Organizational Change And Adaptation; Experimentation; Transformation; Consumer Behavior; E-commerce; Competition; Performance; Business Strategy; Marketing; Digital Transformation; Digital Strategy; Leading Change; 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.
      • 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 (Revised August 2023)
      • Background Note

      Subscription Models: Recurring Revenues for Lasting Growth

      By: Elie Ofek and Amy Konary
      This note offers a comprehensive exposition to subscription revenue models and aims to explain their recent rise. It covers the advantages to firms of employing a subscription-based approach to monetization (as opposed to “one-off” upfront payment), as well as the...  View Details
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      Ofek, Elie, and Amy Konary. "Subscription Models: Recurring Revenues for Lasting Growth." Harvard Business School Background Note 523-113, June 2023. (Revised August 2023.)
      • June 2023
      • Case

      Investing in the Climate Transition at Neuberger Berman

      By: George Serafeim and Benjamin Maletta
      By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated...  View Details
      Keywords: Carbon Emissions; Sustainability; Decarbonization; Performance; Risk Assessment; Opportunities; Environmental Sustainability; Carbon Footprint; Business Analysis; Investing; Regulation; Asset Management; Investment Strategy; Climate Change; Transition; Analysis; Product Positioning; Strategy; Investment Portfolio; Financial Services Industry; Energy Industry
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      Serafeim, George, and Benjamin Maletta. "Investing in the Climate Transition at Neuberger Berman." Harvard Business School Case 123-092, June 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.
      • 2023
      • Working Paper

      Teams in the Digital Workplace: Technology's Role for Communication, Collaboration, and Performance

      By: Jacqueline N. Lane, Paul Leonardi, Noshir Contractor and Leslie DeChurch
      This paper addresses the need for theoretical advancements in understanding team processes and the impact of technology on teams. Specifically, it examines the use of digital collaboration technologies by organizational teams and their effect on team communication and...  View Details
      Keywords: Affordances; Groups and Teams; Communication Technology; Social Media; Organizational Change and Adaptation; Perception
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      Lane, Jacqueline N., Paul Leonardi, Noshir Contractor, and Leslie DeChurch. "Teams in the Digital Workplace: Technology's Role for Communication, Collaboration, and Performance." Harvard Business School Working Paper, No. 23-079, June 2023. (Accepted by Small Group Research. Revised July 2023.)
      • 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.
      • May 3, 2023
      • Article

      What Top-Performing Sales Managers Do Differently

      By: Mike Schultz and Frank V. Cespedes
      Sales managers hire reps, influence their training, provide (we hope) feedback and so reinforce good selling behaviors, and are key in the execution of growth and change initiatives. In a study of more than 1,000 sales managers and sellers across industries, we found...  View Details
      Keywords: Management Practices and Processes; Sales; Performance Effectiveness
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      Schultz, Mike, and Frank V. Cespedes. "What Top-Performing Sales Managers Do Differently." TrainingIndustry.com (May 3, 2023).
      • May 2023
      • Article

      Incentive Effects of Subjective Allocations of Rewards and Penalties

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings...  View Details
      Keywords: Subjectivity; Tournament-based Incentives; Rewards; Penalties; Expectancy Theory; Employees; Compensation and Benefits; Management; Decisions; Performance; Measurement and Metrics
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Effects of Subjective Allocations of Rewards and Penalties." Management Science 69, no. 5 (May 2023): 3121–3139.
      • 2023
      • Working Paper

      Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services

      By: Natalie Epstein, Santiago Gallino and Antonio Moreno
      Problem definition: Communication and customer interaction design have been used as elements to improve customer satisfaction and future purchasing behavior, but little is known about how they can be used as levers to improve operational...  View Details
      Keywords: Customer Satisfaction; Consumer Behavior; Logistics; Communication
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      Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services." Working Paper, May 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

      The Real Exchange Rate, Innovation and Productivity

      By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
      We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'...  View Details
      Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity
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      Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Journal of the European Economic Association 21, no. 2 (April 2023): 637–689.
      • March 2023
      • Background Note

      A Primer on OKRs

      By: Suraj Srinivasan and Li-Kuan (Jason) Ni
      The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at...  View Details
      Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency
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      Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "A Primer on OKRs." Harvard Business School Background Note 123-081, March 2023.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...  View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • January 2023
      • Case

      First to Fight? Culture, Tradition and the United States Marine Corps (USMC)

      By: Ranjay Gulati, Akhil Iyer and Joel Malkin
      Over a history of more than 240 years, the United States Marine Corps has forged a distinct culture and institutional identity centered on its “warrior ethos.” In the wars of American history, Marines fought with uncommon valor, rising to international prominence for...  View Details
      Keywords: Change Management; Transformation; Talent and Talent Management; Government Administration; Management Practices and Processes; Management Systems; Organizational Change and Adaptation; Organizational Culture; Performance Effectiveness; United States
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      Gulati, Ranjay, Akhil Iyer, and Joel Malkin. "First to Fight? Culture, Tradition and the United States Marine Corps (USMC)." Harvard Business School Case 423-051, January 2023.
      • 2023
      • Working Paper

      The Link Between Integrative Bargaining and Leadership Evaluations

      By: Julian J. Zlatev and Francis J. Flynn
      We draw from implicit leadership theory and the dual concern theory of conflict resolution to posit a link between negotiation style and leadership evaluations. Specifically, we propose that individuals who are more skilled at integrative, but not distributive,...  View Details
      Keywords: Prosocial Behavior; Leadership; Negotiation; Conflict and Resolution; Performance Evaluation
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      Zlatev, Julian J., and Francis J. Flynn. "The Link Between Integrative Bargaining and Leadership Evaluations." Harvard Business School Working Paper, No. 23-044, January 2023.
      • 2023
      • Article

      Experimental Evaluation of Individualized Treatment Rules

      By: Kosuke Imai and Michael Lingzhi Li
      The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a...  View Details
      Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
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      Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
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