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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: Frabrizio 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...  View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Frabrizio, 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
      • Teaching Note

      Shad Process Flow Design Exercise: Kick-off Class

      By: Willy C. Shih
      The Shad Process Flow Design Exercise is a simulation designed to help students cement what they learn in the process fundamentals section of the RCTOM course by giving them the opportunity to translate classroom concepts into actual physical processes and experience...  View Details
      Keywords: Production; Operations; Manufacturing Industry; United States
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      Shih, Willy C. "Shad Process Flow Design Exercise: Kick-off Class." Harvard Business School Teaching Note 624-043, September 2023.
      • September–October 2023
      • Article

      Reskilling in the Age of AI

      By: Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic and Raffaella Sadun
      In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and...  View Details
      Keywords: Competency and Skills; AI and Machine Learning; Training; Adaptation; Employees; Digital Transformation
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      Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Reskilling in the Age of AI." Harvard Business Review 101, no. 5 (September–October 2023): 56–65.
      • 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

      The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      This study investigates the capability of generative artificial intelligence (AI) in creating innovative business solutions compared to human crowdsourcing methods. We initiated a crowdsourcing challenge focused on sustainable, circular economy business opportunities....  View Details
      Keywords: Large Language Model; Crowdsourcing; AI and Machine Learning; Innovation and Invention
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing." Harvard Business School Working Paper, No. 24-005, July 2023.
      • August 2023
      • Case

      The Gift Card Swap: Speak Up or Let It Lie?

      By: David G. Fubini, William Fubini and Patrick Sanguineti
      In this short vignette on ethics in consulting, Brenda Thompson, a new Associate at a prestigious consulting firm, learns that a fellow Associate is using the firm's meal expense benefits to pocket the difference between the maximum daily allowance and his actual...  View Details
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      Fubini, David G., William Fubini, and Patrick Sanguineti. "The Gift Card Swap: Speak Up or Let It Lie?" Harvard Business School Case 424-010, August 2023.
      • 2023
      • Working Paper

      Channeled Attention and Stable Errors

      By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
      We develop a framework for assessing when somebody will eventually notice that she has a misspecified model of the world, premised on the idea that she neglects information that she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we...  View Details
      Keywords: Attentional Stability; Cognition and Thinking; Attitudes; Information; Theory
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors." Working Paper, August 2023.
      • July–August 2023
      • Article

      Demand Learning and Pricing for Varying Assortments

      By: Kris Ferreira and Emily Mower
      Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to...  View Details
      Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
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      Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
      • 2023
      • Working Paper

      Residential Battery Storage - Reshaping The Way We Do Electricity

      By: Christian Kaps and Serguei Netessine
      In this paper, we aim to understand when private households invest in rooftop solar installations and battery storage, and how these investment decisions affect their electricity usage patterns as well as the market structure overall. We answer three main research...  View Details
      Keywords: Solar Power; Energy Storage; Technology And Innovation Management; Energy; Energy Policy; Renewable Energy; Technological Innovation; Innovation and Management; Energy Industry
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      Kaps, Christian, and Serguei Netessine. "Residential Battery Storage - Reshaping The Way We Do Electricity." Working Paper, August 2023.
      • July–August 2023
      • Article

      What Smart Companies Know About Integrating AI

      By: Silvio Palumbo and David Edelman
      AI has the power to gather, analyze, and utilize enormous volumes of individual customer data to achieve precision and scale in personalization. The experiences of Mercury Financial, CVS Health, and Starbucks debunk the prevailing notion that extracting value from AI...  View Details
      Keywords: AI and Machine Learning; Customization and Personalization; Integration; Technology Adoption
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      Palumbo, Silvio, and David Edelman. "What Smart Companies Know About Integrating AI." Harvard Business Review 101, no. 4 (July–August 2023): 116–125.
      • 2023
      • Working Paper

      Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate

      By: Mengxia Zhang and Isamar Troncoso
      3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to...  View Details
      Keywords: Marketing; AI and Machine Learning; Technology Adoption; Real Estate Industry
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      Zhang, Mengxia, and Isamar Troncoso. "Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate." Harvard Business School Working Paper, No. 24-003, July 2023.
      • July 2023 (Revised August 2023)
      • Case

      Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup

      By: Paul M. Healy and Jung Koo Kang
      The case explores the challenges of revenue recognition and financial reporting for Stride Funding (Stride), a fintech startup that has disrupted the student loan market. Stride leveraged proprietary machine learning and financial models to underwrite alternative...  View Details
      Keywords: Financial Services Industry; United States
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      Healy, Paul M., and Jung Koo Kang. "Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup." Harvard Business School Case 124-015, July 2023. (Revised August 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.
      • 18 Jul 2023
      • Interview

      Interview on Product Market Fit, Profit Market Fit and Whiplash, and More

      By: Jeffrey F. Rayport and Doug Levin
      This episode of "Lessons from Startup Life" podcast features Jeffrey Rayport, Senior Lecturer of Business Administration at the Harvard Business School. Jeffrey specializes in teaching and researching growth-stage technology ventures and their scalability. Prior to...  View Details
      Keywords: Scaling And Growth; Start-up; Diversity; Equity; Inclusion; Technology
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      "Interview on Product Market Fit, Profit Market Fit and Whiplash, and More." Lessons from a Startup Life Podcast, July 18, 2023.
      • July 2023
      • Teaching Note

      Belden and Digital Transformation: From Product Sales to Solutions Sales

      By: Frank V. Cespedes
      Teaching Note for HBS Case No. 823-002. Belden manufactures devices such as switches, cables, adapters, and connectors. Faced with market changes, the firm initiated a new Enhanced Solutions Delivery (ESD) initiative. In November 2022 executives are evaluating the...  View Details
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      Cespedes, Frank V. "Belden and Digital Transformation: From Product Sales to Solutions Sales." Harvard Business School Teaching Note 823-130, July 2023.
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...  View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • July 2023
      • Article

      Managerial Quality and Productivity Dynamics

      By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
      Do productivity and managerial quality vary within the firm? If so which managerial traits and practices matter most for team productivity? Combining granular garment production data with survey data on managers across 120 production lines in India, we document...  View Details
      Keywords: Productivity; Non-cognitive Skills; Learning By Doing; Ready-made Garments; Management; Management Practices and Processes; Management Skills; Performance Productivity; Fashion Industry; Manufacturing Industry; India
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      Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "Managerial Quality and Productivity Dynamics." Review of Economic Studies 90, no. 4 (July 2023): 1569–1607.
      • June 2023
      • Case

      Albert Einstein: Changing the World

      By: Robert Simons and Shirley Sun
      This case traces the rise of Albert Einstein from a small town in Germany to a towering intellectual leader who revolutionized the field of physics. The case describes his early education and his penchant for individual thinking and non-conformity. A committed...  View Details
      Keywords: Science; Research; Personal Characteristics; Mission And Purpose; Success; Work-life Balance; Higher Education
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      Simons, Robert, and Shirley Sun. "Albert Einstein: Changing the World." Harvard Business School Case 123-025, June 2023.
      • June 2023
      • Technical Note

      Enhancing Your Contribution to Group Learning in Marketing

      By: Jill Avery
      How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,...  View Details
      Keywords: Marketing
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      Avery, Jill. "Enhancing Your Contribution to Group Learning in Marketing." Harvard Business School Technical Note 523-115, June 2023.
      • June 20, 2023
      • Article

      Cautious Adoption of AI Can Create Positive Company Culture

      By: Joseph Pacelli and Jonas Heese
      Keywords: AI and Machine Learning; Organizational Culture; Employees
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      Pacelli, Joseph, and Jonas Heese. "Cautious Adoption of AI Can Create Positive Company Culture." CMR Insights (June 20, 2023).
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