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Show Results For
- All HBS Web
(2,611)
- People (2)
- News (539)
- Research (1,525)
- Events (23)
- Multimedia (4)
- Faculty Publications (638)
- Article
Platform Competition: Betfair and the U.K. Market for Sports Betting
By: Ramon Casadesus-Masanell and Neil Campbell
We examine two episodes of strategic interaction in the U.K. betting industry: (i) Betfair (an entrant multi-sided platform or MSP) vs. Flutter (also an MSP) and (ii) Betfair vs. traditional bookmakers. We find that although Betfair was an underfunded second mover in... View Details
Keywords: Platform Design; Betting; Complements; Competing Business Models; Co-opetition; Entry; Multi-Sided Platforms; Design; Network Effects; Business Model; Competition; Cooperation
Casadesus-Masanell, Ramon, and Neil Campbell. "Platform Competition: Betfair and the U.K. Market for Sports Betting." Special Issue on Platforms. Journal of Economics & Management Strategy 28, no. 1 (Spring 2019): 29–40.
- Research Summary
Overview
By: Robert Simons
Professor Simons is currently studying how executives make their businesses more competitive using innovative structural designs and performance measurement systems. He has a number of ongoing research projects on this topic, and teaches MBA and executive education... View Details
- September 2018
- Article
When and Why Randomized Response Techniques (Fail to) Elicit the Truth
By: Leslie K. John, George Loewenstein, Alessandro Acquisti and Joachim Vosgerau
By adding random noise to individual responses, randomized response techniques (RRTs) are intended to enhance privacy protection and encourage honest disclosure of sensitive information. Empirical findings on their success in doing so are, however, mixed. In nine... View Details
Keywords: Truth-telling; Lying; Privacy; Information Disclosure; Survey Research; Surveys; Attitudes; Behavior
John, Leslie K., George Loewenstein, Alessandro Acquisti, and Joachim Vosgerau. "When and Why Randomized Response Techniques (Fail to) Elicit the Truth." Organizational Behavior and Human Decision Processes 148 (September 2018): 101–123.
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- November 2013
- Article
Organizational Ambidexterity: Past, Present and Future
By: Charles A. O'Reilly III and Michael Tushman
Organizational ambidexterity refers to the ability of an organization to both explore and exploit—to compete in mature technologies and markets where efficiency, control, and incremental improvement are prized and to also compete in new technologies and markets where... View Details
Keywords: Organizational Ambidexterity; Organization Design; Innovation; Leadership; Organizational Design; Innovation and Invention
O'Reilly, Charles A., III, and Michael Tushman. "Organizational Ambidexterity: Past, Present and Future." Academy of Management Perspectives 27, no. 4 (November 2013): 324–338.
- Oct 2020
- Conference Presentation
Optimal, Truthful, and Private Securities Lending
By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
Diana, Emily, Michael J. Kearns, Seth Neel, and Aaron Leon Roth. "Optimal, Truthful, and Private Securities Lending." Paper presented at the 1st Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF), October 2020.
- Web
Research & Development, Project Code SX-70 - Edwin H. Land & Polaroid | Harvard Business School
Clubs Faculty & Research Business & Environment Business History Christensen Center for Teaching & Learning Entrepreneurship Faculty & Research Global Healthcare HBS Working Knowledge Institute for Strategy... View Details
- Web
Research Links - The High Art of Photographic Advertising - Baker Library | Bloomberg Center
HBS Quick Links MBA Executive Education Doctoral Programs Faculty and Research Alumni HBS Publishing Site Index HBS Home Contact Us Map/Directions Art & Industry Exhibition Photograph Collections Russell Aikins. View Details
- March 2020
- Article
Organizing Knowledge Production Teams Within Firms for Innovation
By: Vikas A. Aggarwal, David H. Hsu and Andy Wu
How should firms organize their pool of inventive human capital for firm-level innovation? While access to diverse knowledge may aid knowledge recombination, which can facilitate innovation, prior literature has focused primarily on one way of achieving that: diversity... View Details
Keywords: Knowledge Recombination; Organization Design; Team Boundary; Innovation; Knowledge Sharing; Diversity; Innovation and Invention; Groups and Teams; Human Capital; Organizational Design
Aggarwal, Vikas A., David H. Hsu, and Andy Wu. "Organizing Knowledge Production Teams Within Firms for Innovation." Art. 1. Strategy Science 5, no. 1 (March 2020): 1–16. (Lead article.)
- January 2015
- Article
Collaboration in Multi-Partner R&D Projects: The Impact of Partnering Scale and Scope
By: Anant Mishra, Aravind Chandrasekaran and Alan MacCormack
How can firms design collaboration structures for effective performance in R&D projects that involve multiple partners? To address this question, we examine the theoretical underpinnings of collaboration structures in multi-partner R&D projects—i.e., the scale and the... View Details
Keywords: Multi-Partner R＆D Projects; Empirical Research; New Development; Collaboration Structures; Partnering Scale And Scope; Partners and Partnerships; Infrastructure; Performance Capacity; Research and Development; Collaborative Innovation and Invention
Mishra, Anant, Aravind Chandrasekaran, and Alan MacCormack. "Collaboration in Multi-Partner R&D Projects: The Impact of Partnering Scale and Scope." Journal of Operations Management 33-34 (January 2015): 1–14.
- Article
The Similarity Heuristic
By: Daniel Read and Yael Grushka-Cockayne
Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has... View Details
Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
- 2019
- Working Paper
Self-Interest: The Economist's Straitjacket
By: Robert Simons
This paper examines contemporary economic theories that focus on the design and management of business organizations. In the first part of the paper, a taxonomy is presented that describes the different types of economists interested in this subject—market economists,... View Details
Keywords: Self-interest; Economist; Moral Philosophers; Regulation; Capture; Organization Design; Economy Theory; Organization Theory; Management Theory; Commitment; Controls; Governance; Customers; Conflict of Interests; Business or Company Management; Competition; Organizational Design; Business Education; Agency Theory; Economics; Theory; Boundaries
Simons, Robert. "Self-Interest: The Economist's Straitjacket." Harvard Business School Working Paper, No. 16-045, October 2015. (Revised January 2019.)
- 2018
- Working Paper
Bundling Incentives in (Many-to-Many) Matching with Contracts
By: Jonathan Ma and Scott Duke Kominers
In many-to-many matching with contracts, the way in which contracts are specified can affect the set of stable equilibrium outcomes. Consequently, agents may be incentivized to modify the set of contracts upfront. We consider one simple way in which agents may do so:... View Details
Keywords: Matching With Contracts; Contract Design; Bundling-proofness; Substitutability; Mathematical Methods
Ma, Jonathan, and Scott Duke Kominers. "Bundling Incentives in (Many-to-Many) Matching with Contracts." Harvard Business School Working Paper, No. 19-011, August 2018.
- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022; Jensen Prize, First Place, June 2023.)
- Web
Research Links - A Concrete Symbol: The Building of Harvard Business School 1908-1927 – Baker Library | Bloomberg Center, Historical Collections
HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions A Concrete Symbol The Exhibition Introduction Educating Business Administrators Core... View Details
- July 2017 (Revised November 2017)
- Case
Propel
By: Mitchell Weiss and Sarah McAra
In 2014, Jimmy Chen, a former product manager at Facebook, founded the start-up Propel to build software for low-income Americans. After conducting in-depth behavioral research, Chen and his small team in New York City began to develop technology to address the... View Details
Keywords: Public Entrepreneurship; Govtech; Food Stamps; EBT; Mobile App; User Research; Financial Services Referrals; Grocery Marketing; Customer Discovery; Social Entrepreneurship; Entrepreneurship; Public Sector; Business Model; Research; Social Enterprise; Poverty; Welfare; Mobile and Wireless Technology; Applications and Software; Technology Industry; United States
- August 2018
- Article
Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
How do teams working on complex projects get the help they need? Our qualitative investigation of the help provided to project teams at a prominent design firm revealed two distinct helping processes, both characterized by deep, sustained engagement that far exceeds... View Details
Keywords: Helping; Rhythm; Prosocial Behavior; External Team Leadership; Social Construction; Time; Qualitative Methods; Field Research; Groups and Teams; Projects; Behavior; Leadership; Social and Collaborative Networks
Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Deep Help in Complex Project Work: Guiding and Path-Clearing Across Difficult Terrain." Academy of Management Journal 61, no. 4 (August 2018): 1524–1553.
- 2017
- Article
Self-Managing Organizations: Exploring the Limits of Less-Hierarchical Organizing
By: Michael Y. Lee and Amy C. Edmondson
Fascination with organizations that eschew the conventional managerial hierarchy and instead radically decentralize authority has been longstanding, albeit at the margins of scholarly and practitioner attention. Recently, however, organizational experiments in radical... View Details
Keywords: Self-Managed Organizations; Self-Managed Teams; Self-organizing Systems; Self-managing Organizations; Flat Organization; Decentralization; Organization Design; Non-hierarchical Organizations; Less-hierarchical Organizing; Organizational Structure; Organizational Design; Research
Lee, Michael Y., and Amy C. Edmondson. "Self-Managing Organizations: Exploring the Limits of Less-Hierarchical Organizing." Research in Organizational Behavior 37 (2017): 35–58.
- 2025
- Working Paper
Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions." Harvard Business School Working Paper, No. 24-075, June 2024. (Revised May 2025.)