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    • All HBS Web  (2,732)
      • Faculty Publications  (343)

      Design ResearchRemove Design Research →

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      • December 2023
      • Article

      Save More Today or Tomorrow: The Role of Urgency in Precommitment Design

      By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
      To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
      Keywords: Consumer Behavior; Decision Choices and Conditions
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      Reiff, Joseph, Hengchen Dai, John Beshears, Katherine L. Milkman, and Shlomo Benartzi. "Save More Today or Tomorrow: The Role of Urgency in Precommitment Design." Journal of Marketing Research (JMR) 60, no. 6 (December 2023): 1095–1113.
      • November 2023 (Revised April 2024)
      • Case

      Khanmigo: Revolutionizing Learning with GenAI

      By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
      Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
      Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
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      Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
      • November–December 2023
      • Article

      Network Centralization and Collective Adaptability to a Shifting Environment

      By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
      We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details
      Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation
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      Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
      • 2023
      • Working Paper

      Centralization and Organization Reproduction: Ethnic Innovation in R&D Centers and Satellite Locations

      By: William R. Kerr
      We study the relationship between firm centralization and organizational reproduction in satellite locations. For decentralized firms, the ethnic compositions of inventors in satellite locations mostly resemble their host cities, with little link to the inventor... View Details
      Keywords: Ethnicity; Business Offices; Research and Development; Innovation and Invention; Organizational Design
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      Kerr, William R. "Centralization and Organization Reproduction: Ethnic Innovation in R&D Centers and Satellite Locations." Harvard Business School Working Paper, No. 24-015, September 2023.
      • September 2023
      • Module Note

      Live Case Exercise for Financial Reporting

      By: Tatiana Sandino and Marshal Herrmann
      Harvard Business School employs the case method as a cornerstone of its pedagogy, providing students with opportunities to engage in discussions related to difficult or contentious decisions confronted by real-world organizations. In this “live case,” we depart from... View Details
      Keywords: Financial Reporting; Research; Corporate Disclosure
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      Sandino, Tatiana, and Marshal Herrmann. "Live Case Exercise for Financial Reporting." Harvard Business School Module Note 124-031, September 2023.
      • September–October 2023
      • Article

      Interpretable Matrix Completion: A Discrete Optimization Approach

      By: Dimitris Bertsimas and Michael Lingzhi Li
      We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details
      Keywords: Mathematical Methods
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      Bertsimas, Dimitris, and Michael Lingzhi Li. "Interpretable Matrix Completion: A Discrete Optimization Approach." INFORMS Journal on Computing 35, no. 5 (September–October 2023): 952–965.
      • September–October 2023
      • Article

      The New Era of Industrial Policy Is Here

      By: Willy C. Shih
      Governments around the world are increasingly intervening in the private sector through industrial policies designed to help domestic sectors reach goals that markets alone are unlikely to achieve. Companies in targeted sectors—such as automakers, energy companies, and... View Details
      Keywords: Policy; Government and Politics; Business and Government Relations; Research and Development; Economic Sectors
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      Shih, Willy C. "The New Era of Industrial Policy Is Here." Harvard Business Review 101, no. 5 (September–October 2023): 66–75.
      • 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

      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.
      • May 2023 (Revised June 2023)
      • Case

      Novartis (A): Reimagining Medicine

      By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
      This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
      Keywords: Health Care and Treatment; Business Model; Leadership; Pharmaceutical Industry; Switzerland
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      Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (A): Reimagining Medicine." Harvard Business School Case 723-443, May 2023. (Revised June 2023.)
      • May 2023 (Revised June 2023)
      • Supplement

      Novartis (B): Reimagining Medicine

      By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
      This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
      Keywords: Health Care and Treatment; Business Model; Production; Business Strategy; Pharmaceutical Industry
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      Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (B): Reimagining Medicine." Harvard Business School Supplement 723-444, May 2023. (Revised June 2023.)
      • May 2023 (Revised June 2023)
      • Supplement

      Novartis (C): Reimagining Medicine

      By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
      This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
      Keywords: Health Testing and Trials; Health Care and Treatment; Business Model; Problems and Challenges; Pharmaceutical Industry; Switzerland
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      Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (C): Reimagining Medicine." Harvard Business School Supplement 723-445, May 2023. (Revised June 2023.)
      • April 2023 (Revised September 2023)
      • Case

      Levels: The Remote, Asynchronous, Deep Work Management System

      By: Joseph B. Fuller and George Gonzalez
      Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
      Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
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      Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
      • Spring 2023
      • Article

      Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are... View Details
      Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
      • April 2023
      • Article

      The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences

      By: Armin Falk, Anke Becker, Thomas Dohmen, David B. Huffman and Uwe Sunde
      Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to... View Details
      Keywords: Survey Validation; Experiment; Preference Measurement; Surveys; Economics; Behavior; Measurement and Metrics
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      Falk, Armin, Anke Becker, Thomas Dohmen, David B. Huffman, and Uwe Sunde. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences." Management Science 69, no. 4 (April 2023): 1935–1950.
      • March 2023
      • Case

      Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (A)

      By: Linda A. Hill and Emily Tedards
      In 2018, Ana Owczarzak was appointed to lead Google Ads' new innovation and accelerator team - the Sales Acceleration and Innovation Labs (SAIL). The purpose of SAIL was to offer testing and incubation services for individuals within Google Ads who were developing new... View Details
      Keywords: Innovation Leadership; Innovation Strategy; Organizational Design; Technology Industry; Advertising Industry; Information Technology Industry; United States
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      Hill, Linda A., and Emily Tedards. "Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (A)." Harvard Business School Case 423-076, March 2023.
      • 2023
      • Working Paper

      Distributionally Robust Causal Inference with Observational Data

      By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
      We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
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      Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
      • Other Article

      Introduction

      By: Stefano Brusoni, Joachim Henkel, Michael G Jacobides, Samina Karim, Alan MacCormack, Phanish Puranam and Melissa Schilling
      In 2000, Carliss Baldwin and Kim Clark published Design Rules: The Power of Modularity, a book that introduced new ways of understanding and explaining the architecture of complex systems. This Special Issue of Industrial and Corporate Change celebrates... View Details
      Keywords: Complex Systems; Industry Structure; Systems Design; Complexity; Organizational Design; Competitive Strategy; Innovation and Management
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      Brusoni, Stefano, Joachim Henkel, Michael G Jacobides, Samina Karim, Alan MacCormack, Phanish Puranam, and Melissa Schilling. "Introduction." Special Issue on The Power of Modularity: Twenty Years of Design Rules. Industrial and Corporate Change 32, no. 1 (February 2023): 1–10.
      • 2022
      • Working Paper

      Regulatory Incentives for Innovation: The FDA's Breakthrough Therapy Designation

      By: Amitabh Chandra, Jennifer Kao, Kathleen Miller and Ariel D. Stern
      Regulators of new products confront a tradeoff between speeding a new product to market and collecting additional product quality information. The FDA’s Breakthrough Therapy Designation (BTD) provides an opportunity to understand if a regulator can use new policy to... View Details
      Keywords: Research and Development; Governing Rules, Regulations, and Reforms; Product Development
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      Chandra, Amitabh, Jennifer Kao, Kathleen Miller, and Ariel D. Stern. "Regulatory Incentives for Innovation: The FDA's Breakthrough Therapy Designation." NBER Working Paper Series, No. 30712, December 2022.
      • October–December 2022
      • Article

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
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