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    • HBS Book

    Corporate Explorer: How Corporations Beat Startups at the Innovation Game

    By: Andrew Binns, Charles A. O'Reilly III and Michael Tushman

    Innovation used to be seen as a game best left to entrepreneurs, but now a new breed of corporate managers is flipping this logic on its head. These Corporate Explorers have the insight, resilience, and discipline to overcome the obstacles and build new ventures from inside even the largest organizations. Corporate Explorers are part entrepreneurs, using innovation disciplines to jump start cutting-edge ideas, and part change leaders, capable of creating support for investment. They see that corporations already own the ideas, resources, and—critically—the talent to build new ventures. Companies like Amazon, Microsoft, Bosch, LexisNexis, and Analog Devices enable managers to put these assets to use and gain an upper hand over startups that threaten to disrupt them.

    • HBS Book

    Corporate Explorer: How Corporations Beat Startups at the Innovation Game

    By: Andrew Binns, Charles A. O'Reilly III and Michael Tushman

    Innovation used to be seen as a game best left to entrepreneurs, but now a new breed of corporate managers is flipping this logic on its head. These Corporate Explorers have the insight, resilience, and discipline to overcome the obstacles and build new ventures from inside even the largest organizations. Corporate Explorers are part...

    • Journal of Marketing Research (JMR) 59, no. 2 (April 2022): 374-391.

    Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

    By: Shunyuan Zhang, Dokyun Lee, Param Singh and Tridas Mukhopadhyay

    We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment in which Uber/Lyft exited Austin, Texas, in May 2016 due to local regulation. Using a 12-month longitudinal dataset of 11,536 Airbnb properties, we find that Uber/Lyft’s exit led to a 14% decrease in Airbnb occupancy in Austin. In response, hosts decreased the nightly rate by $9.3 and the supply by 4.5%. We argue that when Uber/Lyft exited Austin, the transportation costs for most Airbnb guests increased significantly because most Airbnb properties (unlike hotels) have poor access to public transportation.

    • Journal of Marketing Research (JMR) 59, no. 2 (April 2022): 374-391.

    Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

    By: Shunyuan Zhang, Dokyun Lee, Param Singh and Tridas Mukhopadhyay

    We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment in which Uber/Lyft exited Austin, Texas, in May 2016 due to local regulation. Using a 12-month longitudinal dataset of 11,536 Airbnb properties, we find that Uber/Lyft’s exit led to a 14%...

    • Health Care Initiative

    AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

    By: Ariel Dora Stern, Avi Goldfarb and Timo Minssen

    Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable liability risks and uncertainties in a way that is aligned with the interests of health care’s main stakeholders, including patients, physicians, and health care organization leadership. A market for AI insurance will encourage the use of high-quality AI, because insurers will be most keen to underwrite those products that are demonstrably safe and effective. As such, well-designed AI insurance products are likely to reduce the uncertainty associated with liability risk for both manufacturers—including developers of software as a medical device—and clinician users and thereby increase innovation, competition, adoption, and trust in beneficial technological advances.

    • Health Care Initiative

    AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

    By: Ariel Dora Stern, Avi Goldfarb and Timo Minssen

    Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable...

    • Featured Case

    Danish Crown: Feeding the Future

    By: David E. Bell, Damien P. McLoughlin, Daniela Beyersdorfer and Mette Fuglsang Hjortshoej

    Danish Crown, one of the world’s largest exporters of pork meat and one of Europe’s top five producers of beef, faced increasing headwinds in 2021, making CEO Jais Valeur feel like the core of the meat business was under attack. As a cooperative and prominent player in Denmark’s high-standard agriculture sector, the company had particular responsibilities and constraints including a high labor and production cost and strict regulatory environment. More recently growing concerns over climate change had led to increasing criticism of the environmental impacts of livestock production. Consumers in Denmark and worldwide were turning away from meat, for its climate impact but also for concerns about animal welfare and their own health. The case discusses these industry trends and describes Danish Crown’s efforts to respond by transitioning to a more sustainable company.

    • Featured Case

    Danish Crown: Feeding the Future

    By: David E. Bell, Damien P. McLoughlin, Daniela Beyersdorfer and Mette Fuglsang Hjortshoej

    Danish Crown, one of the world’s largest exporters of pork meat and one of Europe’s top five producers of beef, faced increasing headwinds in 2021, making CEO Jais Valeur feel like the core of the meat business was under attack. As a cooperative and prominent player in Denmark’s high-standard agriculture sector, the company had particular...

    • Featured Case

    In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent

    By: Lauren Cohen, Grace Headinger and Pierre Marchesseault

    To Cédric Jeannot, leveraging technology to promote financial inclusion was personal. After no established financial institution would accept his technology platform to lower transaction costs for free, Jeannot launched FinTech company Be Mobile Africa in May 2020. Within a year, the company had reached over 35 countries with many potential users pending on its waiting lists. A ‘for-profit with purpose’, Be Mobile Africa aimed to lift 100 million people out of poverty by extending financial services to previously unbanked populations across the African continent. Racing towards its goal, the company needed a longer-term expansion strategy to fulfill Jeannot’s mission.

    • Featured Case

    In Data We Trust: Be Mobile Africa and Furthering Financial Inclusion Across the African Continent

    By: Lauren Cohen, Grace Headinger and Pierre Marchesseault

    To Cédric Jeannot, leveraging technology to promote financial inclusion was personal. After no established financial institution would accept his technology platform to lower transaction costs for free, Jeannot launched FinTech company Be Mobile Africa in May 2020. Within a year, the company had reached over 35 countries with many potential users...

    • HBS Working Paper

    Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment

    By: Shai Benjamin Bernstein, Kunal Mehta, Richard Townsend and Ting Xu

    We analyze a field experiment conducted on AngelList Talent, a large online search platform for startup jobs. In the experiment, AngelList randomly informed job seekers of whether a startup was funded by a top-tier investor and/or was funded recently. We find that the same startup receives significantly more interest when information about top-tier investors is provided. Information about recent funding has no effect. The effect of top-tier investors is not driven by low-quality candidates and is stronger for earlier-stage startups. The results show that venture capitalists can add value passively, simply by attaching their names to startups.

    • HBS Working Paper

    Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment

    By: Shai Benjamin Bernstein, Kunal Mehta, Richard Townsend and Ting Xu

    We analyze a field experiment conducted on AngelList Talent, a large online search platform for startup jobs. In the experiment, AngelList randomly informed job seekers of whether a startup was funded by a top-tier investor and/or was funded recently. We find that the same startup receives significantly more interest when information about...

    • HBS Working Paper

    Can Evidence-Based Information Shift Preferences Towards Trade Policy?

    By: Laura Alfaro, Maggie X. Chen and Davin Chor

    We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each information treatment provides a concise statement of economics research findings on how openness to trade has affected labor market outcomes and goods prices. Across annual surveys from 2018-2021, each administered on a representative sample of the U.S. general population, we find that information highlighting the link between trade and manufacturing job losses significantly raises respondents' propensity to select limits on imports as a preferred policy; this tendency is only partially offset if respondents receive additional information describing the accompanying expansion in non-manufacturing jobs.

    • HBS Working Paper

    Can Evidence-Based Information Shift Preferences Towards Trade Policy?

    By: Laura Alfaro, Maggie X. Chen and Davin Chor

    We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each information treatment provides a concise statement of economics research findings on how openness to trade has affected labor market outcomes and...

Initiatives & Projects

Managing the Future of Work

The Project on Managing the Future of Work pursues research that business and policy leaders can put into action as they grapple with the changing landscape of work and the economy.
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Seminars & Conferences

May 17
  • 17 May 2022

Tesary Lin, Boston University

May 18
  • 18 May 2022

Morgan Hardy, New York University Abu Dhabi

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Recent Publications

Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses

By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
  • Article |
  • International Journal of Human-Computer Studies
Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a deeper understanding of which work and personal activities are of value for commuting workers. In this paper we present results from an online time-use study of 400 knowledge workers who commute-by-driving. The data allow us to study multitasking-while-driving behavior of commuting knowledge workers, identify which non-driving tasks knowledge workers currently engage in while driving, and the non-driving tasks individuals would like to engage in when using a safe highly automated vehicle in the future. We discuss the implications of our findings for the design of technology that supports work and wellbeing activities in automated cars.
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Teodorovicz, Thomaz, Andrew L. Kun, Raffaella Sadun, and Orit Shaer. "Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses." International Journal of Human-Computer Studies 162 (June 2022).

Founder Collective

By: Jo Tango and Alys Ferragamo
  • May 2022 |
  • Case |
  • Faculty Research
FC launched in 2009 with a clear mission: to be the most aligned fund for founders at the seed stage. In keeping with its mission, FC maintained smaller fund sizes and was not a lifecycle investor. By November of 2021, however, the seed market had gotten more competitive, and FC had successfully picked several Unicorn and even Decacorn investments, causing some LPs to wonder about the opportunity costs of FC’s “no pro rata” view. The FC Managing Partners David Frankel, Eric Paley, and Micah Rosenbloom wondered if the “game on the field” had changed too much and if they should evolve their strategy. They contemplated three potential paths forward: start investing their pro rata in later rounds, raise an opportunity fund, or continue their current strategy.
Citation
Educators
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Tango, Jo, and Alys Ferragamo. "Founder Collective." Harvard Business School Case 822-129, May 2022.

How to Build a Life: The Key to a Good Parent-Child Relationship? Low Expectations.

By: Arthur C. Brooks
  • May 12, 2022 |
  • Article |
  • The Atlantic
Citation
Related
Brooks, Arthur C. "How to Build a Life: The Key to a Good Parent-Child Relationship? Low Expectations." The Atlantic (May 12, 2022).

Why One Little Goof Drove Wordle Fans Nuts

By: Scott Duke Kominers
  • May 11, 2022 |
  • Article |
  • Bloomberg Opinion
Citation
Related
Kominers, Scott Duke. "Why One Little Goof Drove Wordle Fans Nuts." Bloomberg Opinion (May 11, 2022).

Timnit Gebru: “SILENCED No More” on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Stefani Ruper
  • May 2022 |
  • Case |
  • Faculty Research
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart rate spiking, Gebru was shocked to find that her company account had been cut off. She scrolled through her personal inbox to find an email stating that the company could not agree to the conditions she had stipulated about a research paper critiquing large language models and also expressing disapproval of a message she had sent to an internal listserv about halting diversity, equity, and inclusion (DEI) efforts without accountability. Therefore, Google was accepting Gebru’s “resignation,” effective immediately. Gebru who hadn’t submitted a formal resignation realized she had been fired. Gebru had been concerned that large language models were racing ahead with little appraisal of their potential risks and debiasing strategies. Her ousting sent shockwaves through the AI and tech community. Thousands of people signed a petition against what they characterized as unprecedented research censorship. Nine members of congress would write the CEO of the company—Sundar Pichai—questioning his commitment to Ethical AI. The outspoken Gebru’s experience raises fundamental questions about countering AI bias. Could tech companies lead the way with in-house AI ethics research? Should that type of work reside with more objective actors outside of companies? On the other hand, shouldn’t those who best understand the technology at play be the ones to investigate the bias or ethical challenges that might creep up? The answers to these questions remain central to the exponentially growing AI domain that companies have to consider.
Citation
Educators
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Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: “SILENCED No More” on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.

Capture New Value from Your Existing Tech Infrastructure

By: Stefan Thomke and Anthony Rodrigo
  • Article |
  • Harvard Business Review Digital Articles
When senior managers think about how to respond to the threats and opportunities of technological change, they often dream of the same thing: If they just could start a new company or division that isn’t held back by conventional thinking or outdated business models. But what if they asked themselves instead how they might extract the real value of their technology assets? That’s what Axiata Group, a Malaysia-based telecommunications conglomerate that operates in emerging Asian economies and has annual revenues of $6 billion, did. It leveraged its network assets to help small businesses, including startups, launch over 90,000 services in Sri Lanka and Bangladesh that generated revenues of more than $100 million in 2021 for Axiata.
Citation
Related
Thomke, Stefan, and Anthony Rodrigo. "Capture New Value from Your Existing Tech Infrastructure." Harvard Business Review Digital Articles (May 5, 2022).

How to Build a Life: Ben Franklin’s Radical Theory of Happiness

By: Arthur C. Brooks
  • May 5, 2022 |
  • Article |
  • The Atlantic
Citation
Related
Brooks, Arthur C. "How to Build a Life: Ben Franklin’s Radical Theory of Happiness." The Atlantic (May 5, 2022).

Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register

By: Laura Alfaro, Ester Faia and Camelia Minoiu
  • 2022 |
  • Working Paper |
  • Faculty Research
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show that firms in Black communities obtain business loans that are more expensive and have a shorter maturity. These firms are also more likely to experience adverse credit supply shocks, controlling for firms' risk and investment opportunities, as well as geographic and cultural covariates. We also study the effects of monetary policy across racial groups and document that, following a monetary policy tightening, banks extend loans to firms in Black communities at disproportionately higher interest rates. Furthermore, banks pass a monetary tightening through to loan rates for borrowers who have no collateral, have prior defaults, and have a shorter banking relationship, but even more to loan rates for firms in Black communities. Our findings suggest that monetary policy has distributional consequences in the form of tightened selectivity for Black minorities through lending conditions. Our analysis calls for place-based policies that target certain minority groups.
Citation
Related
Alfaro, Laura, Ester Faia, and Camelia Minoiu. "Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register." Harvard Business School Working Paper, No. 22-068, April 2022.
More Publications

In The News

    • 13 May 2022
    • Harvard Business School

    Emeritus Professor Jim Austin: Invigorating

    Re: James Austin
    • 12 May 2022
    • Harvard Business School

    Behind the Research: Summer Jackson

    Re: Summer Jackson
    • 11 May 2022
    • The Guardian

    Finding It Hard to Get a New Job? Robot Recruiters Might Be to Blame

    Re: Joseph Fuller
    • 11 May 2022
    • Washington Post

    Why One Little Goof Drove Wordle Fans Nuts

    By: Scott Duke Kominers
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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.
→Browse HBS Case Collection
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Faculty Positions

Harvard Business School seeks candidates in all fields for full time positions. Candidates with outstanding records in PhD or DBA programs are encouraged to apply.
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