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    • HBS Book

    Structured Empowerment: How to Achieve Growth While Promoting Agility

    By: Tatiana Sandino

    Structured Empowerment: How to Achieve Growth While Promoting Agility addresses one of the most critical challenges growing ventures face: how to scale effectively without stifling the innovation and entrepreneurial spirit that fuel them. Based on her research and work with retail and service organizations across multiple markets, Professor Sandino introduces the concept of "structured empowerment," a method that allows companies to grow by expertly balancing flexibility with structure. The book examines how to empower employees within a structured framework, enabling them to make choices from curated practices that propel growth while contributing ideas that enhance those practices from the bottom up. Drawing on insights from service and retail companies that have both succeeded and failed, it illustrates the principles of effective growth management—and the costly consequences of getting them wrong.

    • HBS Book

    Structured Empowerment: How to Achieve Growth While Promoting Agility

    By: Tatiana Sandino

    Structured Empowerment: How to Achieve Growth While Promoting Agility addresses one of the most critical challenges growing ventures face: how to scale effectively without stifling the innovation and entrepreneurial spirit that fuel them. Based on her research and work with retail and service organizations across multiple markets, Professor...

    • Political Science Research and Methods 14, no. 2 (April 2026): 255–275.

    Analyzing the Impact of Events Through Surveys: Formalizing Biases and Introducing the Dual Randomized Survey Design

    By: Andrew Bertoli, Laura Jakli and Henry Pascoe

    Social scientists often compare survey responses before and after important events to test how those events impact respondent beliefs, attitudes, and preferences. This article offers a formal analysis of such pre-event/post-event survey comparisons, including designs that seek to reduce bias using quota sampling, rolling cross-sections, and panels. Our analysis distinguishes major sources of bias and clarifies the comparative strengths and weaknesses of each approach. We then introduce a modified panel design—the dual randomized survey—to reduce bias in cases where asking respondents to complete the same survey twice could impact their Wave 2 responses. Our formalization of bias and novel research design improve scholars’ ability to study the causal impact of events through surveys.

    • Political Science Research and Methods 14, no. 2 (April 2026): 255–275.

    Analyzing the Impact of Events Through Surveys: Formalizing Biases and Introducing the Dual Randomized Survey Design

    By: Andrew Bertoli, Laura Jakli and Henry Pascoe

    Social scientists often compare survey responses before and after important events to test how those events impact respondent beliefs, attitudes, and preferences. This article offers a formal analysis of such pre-event/post-event survey comparisons, including designs that seek to reduce bias using quota sampling, rolling cross-sections, and...

    • Strategic Management Journal 47, no. 6 (2026): 1730-1763.

    Strategic Positioning and Accelerating Regulatory Clearance for New Ventures

    By: Emily Cox Pahnke, Tiona Zuzul and Michael Howard

    How do new ventures strategically position their products to accelerate regulatory clearance? We investigate this question in the medical device industry, where regulatory clearance is a prerequisite for market entry. We examine 239 new firms' 510(k) device clearances by the FDA between 2001 and 2019. Our approach combines quantitative analysis of firms' claims of similarity with extensive field research. We find that strategic positioning significantly impacts time to clearance, and that effective strategies evolve over time. For first products, firms accelerate clearance by citing fewer reference products while strategically positioning relative to same-category products and to category exemplars; for second products, firms accelerate clearance by referencing their own products. These findings extend positioning theory into regulatory contexts and reveal how a firm's optimal strategic positioning changes across successive products.

    • Strategic Management Journal 47, no. 6 (2026): 1730-1763.

    Strategic Positioning and Accelerating Regulatory Clearance for New Ventures

    By: Emily Cox Pahnke, Tiona Zuzul and Michael Howard

    How do new ventures strategically position their products to accelerate regulatory clearance? We investigate this question in the medical device industry, where regulatory clearance is a prerequisite for market entry. We examine 239 new firms' 510(k) device clearances by the FDA between 2001 and 2019. Our approach combines quantitative analysis of...

    • Featured Case

    Expanding Production Capacity at Michelin

    By: Elisabeth Kempf, Sebastian Hillenbrand, Vincent Dessain, Carlota Moniz and Emer Moloney

    In December 2022, Michelin was evaluating Project Gemini, a $100 million investment to expand production capacity for agricultural rubber tracks in the United States, following demand growth driven by the shift from tires to tracks in modern farming. Students are asked to assess the incremental cash flows from the project and to determine an appropriate cost of capital. The case also demonstrates how corporate sustainability objectives can be integrated into capital budgeting through internal carbon pricing.

    • Featured Case

    Expanding Production Capacity at Michelin

    By: Elisabeth Kempf, Sebastian Hillenbrand, Vincent Dessain, Carlota Moniz and Emer Moloney

    In December 2022, Michelin was evaluating Project Gemini, a $100 million investment to expand production capacity for agricultural rubber tracks in the United States, following demand growth driven by the shift from tires to tracks in modern farming. Students are asked to assess the incremental cash flows from the project and to determine an...

    • Featured Case

    Insilico's Rentosertib Dilemma: A Star in the Pipeline?

    By: Michael Lingzhi Li, Brian Mao Fu and Billy Chan

    In 2024, the AI biotech firm Insilico Medicine faced a pivotal decision about its new drug, Rentosertib. Discovered and designed using artificial intelligence to treat a lung disease, Rentosertib had successfully advanced to Phase II trials—a first in global pharmaceutical history. Insilico could license the drug, consistent with its low-risk, revenue-generating model, or continue internal development to validate its full-stack AI capabilities. The decision would shape not only the future of Rentosertib, but also how Insilico balanced risk and ambition in deploying its AI tools—defining its identity as either a bold full-stack clinical innovator or a disciplined pioneer in early-stage discovery.

    • Featured Case

    Insilico's Rentosertib Dilemma: A Star in the Pipeline?

    By: Michael Lingzhi Li, Brian Mao Fu and Billy Chan

    In 2024, the AI biotech firm Insilico Medicine faced a pivotal decision about its new drug, Rentosertib. Discovered and designed using artificial intelligence to treat a lung disease, Rentosertib had successfully advanced to Phase II trials—a first in global pharmaceutical history. Insilico could license the drug, consistent with its low-risk,...

    • HBS Working Paper

    Retail Expansion to International Markets: Why Some Retailers Succeed and Many Fail

    By: Srikant Gokhale and Rajiv Lal

    Most international retail expansions fail not in the market—but before entry. The strategic error is not poor localisation. It is an absence of balanced adaptation: the disciplined ability to identify precisely what must never change—the secret sauce that makes the economics work—and to adapt everything else to what the market structurally demands. Retailers that cannot draw that line before entry will have it drawn for them, expensively, after.

    • HBS Working Paper

    Retail Expansion to International Markets: Why Some Retailers Succeed and Many Fail

    By: Srikant Gokhale and Rajiv Lal

    Most international retail expansions fail not in the market—but before entry. The strategic error is not poor localisation. It is an absence of balanced adaptation: the disciplined ability to identify precisely what must never change—the secret sauce that makes the economics work—and to adapt everything else to what the market structurally...

    • HBS Working Paper

    Staffing the Private Debt Boom: Skills, Talent, and Consequences

    By: Victoria Ivashina, Sophie-Dorothee Rotermund and Zachariah Wallace-Wright

    This paper examines the human capital drawn to the private debt industry and its implications for the banking sector. Using a novel dataset of 2,336 professionals who entered private debt funds between 2000 and 2024, we show that entrants are drawn disproportionately from top universities. Only about a quarter come directly from banks, as private debt is recruited broadly across finance, including private equity, asset management, and insurance. We find that structuring expertise, high-yield debt experience, proactive deal-making, and industry specialization—rather than traditional commercial lending—are central to the private debt model. At the same time, private debt constitutes a sustained drain of talent from megabanks, with clustered senior departures leading to measurable declines in banks’ leveraged loan market share.

    • HBS Working Paper

    Staffing the Private Debt Boom: Skills, Talent, and Consequences

    By: Victoria Ivashina, Sophie-Dorothee Rotermund and Zachariah Wallace-Wright

    This paper examines the human capital drawn to the private debt industry and its implications for the banking sector. Using a novel dataset of 2,336 professionals who entered private debt funds between 2000 and 2024, we show that entrants are drawn disproportionately from top universities. Only about a quarter come directly from banks, as private...

Initiatives & Projects

Global

The Global Initiative builds on a legacy of global engagement by supporting the HBS community of faculty, students, and alumni in their work, encouraging a global outlook in research, study, and practice.
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Seminars & Conferences

Sep 29
  • 29 Sep 2026

Tamar Mitts, Columbia University

Sep 30
  • 30 Sep 2026

Clive Lennox, USC Marshall

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Recent Publications

How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment

By: Shawn Cole, Xavier Gine and James Vickery
  • June 2017 |
  • Article |
  • Review of Financial Studies
Weather is a key source of income risk, particularly in emerging market economies. This paper uses a randomized controlled trial involving a sample of Indian farmers to study how an innovative rainfall insurance product affects production decisions. We find that insurance provision induces farmers to shift production towards higher-return but higher-risk cash crops, particularly among educated farmers. Our results support the view that financial innovation can mitigate the real effects of uninsured production risk. Addressing the puzzle of low adoption, we show payouts improve trust in the product, and that farmers shield payouts from claims by relatives.
Citation
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Cole, Shawn, Xavier Gine, and James Vickery. "How Does Risk Management Influence Production Decisions? Evidence from a Field Experiment." Review of Financial Studies 30, no. 6 (June 2017): 1935–1970.

Medicare’s 2026–2030 Transforming Episode Accountability Model (TEAM): Implications for Anesthesiologists

By: Anjali K. Ghoshal, Robert S. Kaplan, Angela M. Bader and David L. Hepner
  • October 2026 |
  • Article |
  • Anesthesiology
Medicare’s Transforming Episode Accountability Model (TEAM) represents a significant shift in surgical care reimbursement. TEAM’s bundled payment introduces episode-level accountability for cost and outcomes, replacing fee-for-service for discrete activities. TEAM’s risk-sharing payments will reshape the clinical and financial environment in which anesthesiologists practice, as their reimbursement is included within the bundle. Their role in perioperative decision-making can strongly influence the performance of hospitals operating under TEAM’s risk-sharing arrangements. This article outlines TEAM’s structure and examines how episode-based payment models elevate aspects of anesthesiology practice that have traditionally been undervalued under fee-for-service reimbursement. The article also describes the expanded roles for anesthesiologists to prevent complications and to optimize perioperative care. Finally, the article discusses the growing need for anesthesiologists to define, measure, and report outcomes that reflect their contribution to patient recovery and resource utilization. As payment models evolve, aligning anesthesiology practice with episode-level metrics will demonstrate its value for delivering accountable surgical care.
Citation
Related
Ghoshal, Anjali K., Robert S. Kaplan, Angela M. Bader, and David L. Hepner. "Medicare’s 2026–2030 Transforming Episode Accountability Model (TEAM): Implications for Anesthesiologists." Anesthesiology 145, no. 4 (October 2026): 848–856.

How AI Agents Orchestrate Work Across Silos

By: Kris Johnson Ferreira and Jordan Tong
  • September–October 2026 |
  • Article |
  • Harvard Business Review
While many companies now use AI to improve individual tasks, most still struggle to apply it to the cross-functional work that makes or breaks enterprise performance. Drawing on field research at companies including Walmart, Amazon, Ericsson, Ramp, and Medtronic, the authors argue that the next frontier is agentic AI orchestration: systems that connect task-based AI tools and organizational workflows and solicit and integrate critical information that only humans have. In these systems, AI performs analyses, routes information, and surfaces trade-offs, while humans contribute context and tacit knowledge, set guardrails, and make the final calls. Organizations that redesign decisions around orchestrated human-AI collaboration can respond faster, leverage knowledge more effectively, and execute higher-quality enterprise decisions with greater speed and consistency.
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Ferreira, Kris Johnson, and Jordan Tong. "How AI Agents Orchestrate Work Across Silos." Harvard Business Review 104, no. 5 (September–October 2026): 76–85.

Hospital for Special Surgery: Returning to a New Normal?

By: Michael Lingzhi Li
  • September 2026 |
  • Teaching Note |
  • Faculty Research
Citation
Educators
Related
Li, Michael Lingzhi. "Hospital for Special Surgery: Returning to a New Normal?" Harvard Business School Teaching Note 627-036, September 2026.

Toast, Inc.: What's Next on the Menu?

By: Renata Gaineddenova and Jan Rivkin
  • September 2026 |
  • Case |
  • Faculty Research
Citation
Educators
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Gaineddenova, Renata, and Jan Rivkin. "Toast, Inc.: What's Next on the Menu?" Harvard Business School Case 727-392, September 2026.

Harvard Salata Institute Corporate Climate Targets Database: An Overview

By: Carissa Hanjani, Michael W. Toffel and Joseph E. Aldy
  • 2026 |
  • Working Paper |
  • Faculty Research
The Corporate Climate Targets Database documents voluntary corporate greenhouse gas emission and related commitments announced over 2000-2024 by companies listed in the Russell 3000 index. The database sources all information about emission and climate-related energy and electrification targets from these companies’ public domain communications: sustainability reports, annual reports, and their websites. By applying a common framework for classifying targets, the database enables comparisons of corporate targets among companies that would otherwise be difficult to undertake given the absence of a regulatory climate-related information disclosure standard for U.S.-listed companies. By tracking a common set of companies – representing 98 percent of the U.S. public equity market in 2023 – over 25 years, this database can illustrate the evolution in corporate targets over multiple eras of voluntary corporate action to address climate change. The comprehensive database of all climate targets disclosed through these Russell 3000 companies’ own communication channels over 2000-2024 is freely available for use by researchers, the media, investors, and interested stakeholders. The database is available at https://doi.org/10.7910/DVN/UV8ASH and the online dashboard is available at https://salatainstitute.harvard.edu/cctp/
Citation
Related
Hanjani, Carissa, Michael W. Toffel, and Joseph E. Aldy. "Harvard Salata Institute Corporate Climate Targets Database: An Overview." Harvard Business School Working Paper, No. 27-024, September 2026.

On the Dynamics of Belief Correction

By: Bryan Kelly, Semyon Malamud, Emil Siriwardane and Hongyu Wu
  • 2026 |
  • Working Paper |
  • Faculty Research
We introduce Belief Correction Curves (BCCs), a set of moments that characterize how deviations from full-information rational expectations (FIRE) are corrected over time. BCCs generalize and sharpen standard tests of FIRE by imposing restrictions on the path of forecast errors for a fixed target following a revision. Empirically, professional forecasts exhibit pervasive overreaction followed by slow and smooth corrections. Leading behavioral models struggle to match these patterns because they imply corrections that are too abrupt or too tied to the degree of overreaction. We build a new model of diagnostic expectations that fits the data substantially better by exploiting a fundamental link between memory and correction speed. The model’s memory parameter varies strongly across forecasters and targets, consistent with context-dependent recall.
Citation
Related
Kelly, Bryan, Semyon Malamud, Emil Siriwardane, and Hongyu Wu. "On the Dynamics of Belief Correction." Harvard Business School Working Paper, No. 27-025, September 2026. (Currently Revise and Resubmit at the Quarterly Journal of Economics.)

Unison Energy and the Data Center Boom

By: Gunnar Trumbull and Jeffrey Huizinga
  • September 2026 |
  • Case |
  • Faculty Research
In 2026, CEO Mariko McDonagh Meier confronts a pivotal growth decision. Unison had built a differentiated Energy-as-a-Service business by designing, financing, owning, and operating distributed power systems for commercial and industrial customers. Its track record of reliability, long-term contracts, and growing access to capital positioned the company to address an urgent market need: delivering dependable power faster than utilities could expand the grid. Yet hyperscale data-center projects would require dramatically larger investments, new capabilities, complex stakeholder coordination, and unprecedented operational reliability. They could transform Unison’s scale—or expose the company to risks that its existing model had carefully avoided. Meier must determine whether to pursue a small number of “whale-sized” data-center opportunities, remake Unison as a hyperscale-first power provider, or accelerate growth across its traditional customer segments. The case explores strategy, scaling, infrastructure finance, execution risk, and the environmental implications of meeting rapidly rising electricity demand.
Citation
Educators
Related
Trumbull, Gunnar, and Jeffrey Huizinga. "Unison Energy and the Data Center Boom." Harvard Business School Case 727-016, September 2026.
More Publications

In The News

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    Meta Culpa

    Re: Sandra Sucher
    • 24 Jun 2026
    • Morning Star

    World Brand Lab Releases China's 500 Most Valuable Brands 2026

    Re: Elie Ofek
    • 24 Jun 2026
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    How to Have Deeper Conversations With Anyone

    Re: Alison Wood Brooks
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The Case Method

Introduced by HBS faculty to business education in 1925, the case method is a powerful interactive learning process that puts students in the shoes of a leader faced with a real-world management issue and challenges them to propose and justify a resolution.
Today, HBS remains an authority on teaching by the case method. The School is also the world’s leading case-writing institution, with HBS faculty members contributing hundreds of new cases to the management curriculum a year via the School’s unique case development and writing process.
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