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Show Results For
- All HBS Web
(1,193)
- People (5)
- News (157)
- Research (863)
- Events (17)
- Multimedia (1)
- Faculty Publications (370)
- 2024
- Working Paper
Smaller than We Thought? The Effect of Automatic Savings Policies
By: James J. Choi, David Laibson, Jordan Cammarota, Richard Lombardo and John Beshears
Medium- and long-run dynamics undermine the effect of automatic enrollment and default savings-rate auto-escalation on retirement savings. Our analysis of 401(k) plans incorporates the facts that employees frequently leave firms (often before matching contributions... View Details
Choi, James J., David Laibson, Jordan Cammarota, Richard Lombardo, and John Beshears. "Smaller than We Thought? The Effect of Automatic Savings Policies." Working Paper.
- April 2020
- Article
Designs for Estimating the Treatment Effect in Networks with Interference
By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details
Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily
Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.
- 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
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 Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism
By: Caleb Kwon and Ananth Raman
Problem Definition: Employee lateness and absenteeism pose challenges for businesses, particularly in the retail industry, where punctuality is vital for optimal store operations and customer service. This paper relates employee lateness and absenteeism with... View Details
Kwon, Caleb, and Ananth Raman. "The Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism." Working Paper, August 2023.
- 2016
- Article
The Dynamic Componential Model of Creativity and Innovation in Organizations: Making Progress, Making Meaning
By: Teresa M. Amabile and Michael G. Pratt
Leveraging insights gained through a burgeoning research literature over the past 28 years, this paper presents a significant revision of the model of creativity and innovation in organizations published in Research in Organizational Behavior in 1988. This... View Details
Keywords: Progress; Meaningful Work; Affect; Creativity; Organizations; Innovation and Invention; Motivation and Incentives
Amabile, Teresa M., and Michael G. Pratt. "The Dynamic Componential Model of Creativity and Innovation in Organizations: Making Progress, Making Meaning." Research in Organizational Behavior 36 (2016): 157–183.
- May 2014
- Article
Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment
By: Shawn A. Cole, Daniel Stein and Jeremy Tobacman
This paper estimates how experimentally-manipulated experiences with a novel financial product, rainfall index insurance, affect subsequent insurance demand. Using a seven-year panel, we develop three main findings. First, recent experience matters for demand,... View Details
Cole, Shawn A., Daniel Stein, and Jeremy Tobacman. "Dynamics of Demand for Index Insurance: Evidence from a Long-Run Field Experiment." American Economic Review: Papers and Proceedings 104, no. 5 (May 2014): 284–290.
- 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.)
- March 2022
- Article
How Much Does Your Boss Make? The Effects of Salary Comparisons
By: Zoë B. Cullen and Ricardo Perez-Truglia
The vast majority of the pay inequality in an organization comes from differences in pay between employees and their bosses. But are employees aware of these pay disparities? Are employees demotivated by this inequality? To address these questions, we conducted a... View Details
Keywords: Salary; Inequality; Managers; Career Concerns; Pay Transparency; Wages; Equality and Inequality; Perception; Behavior
Cullen, Zoë B., and Ricardo Perez-Truglia. "How Much Does Your Boss Make? The Effects of Salary Comparisons." Journal of Political Economy 130, no. 3 (March 2022): 766–822.
- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
- Article
Why Hospitals Don't Learn from Failures: Organizational and Psychological Dynamics That Inhibit System Change
By: A. Tucker and A. Edmondson
The importance of hospitals learning from their failures hardly needs to be stated. Not only are matters of life and death at stake on a daily basis, but also an increasing number of U.S. hospitals are operating in the red. This article reports on in-depth qualitative... View Details
Tucker, A., and A. Edmondson. "Why Hospitals Don't Learn from Failures: Organizational and Psychological Dynamics That Inhibit System Change." California Management Review 45, no. 2 (Winter 2003). (Winner of Accenture Award For the article published in the California Management Review that has made the most important contribution to improving the practice of management.)
- 2020
- Working Paper
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." NBER Working Paper Series, No. 28047, November 2020.
- Research Summary
Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations
Researchers debate the role of installed base, platform quality and consumer expectations in driving the success of platforms. We analyze these three factors in a dynamic model where a new entrant with superior quality competes with an incumbent platform, and... View Details
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- 2007
- Working Paper
Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations
By: Feng Zhu and Marco Iansiti
This paper seeks to answer three questions. First, which drives the success of a platform, installed base, platform quality or consumer expectations? Second, when does a monopoly emerge in a platform-based market? Finally, when is a platform-based market socially... View Details
Keywords: Price; Network Effects; Digital Platforms; Monopoly; Quality; Competitive Advantage; Digital Platforms
Zhu, Feng, and Marco Iansiti. "Dynamics of Platform Competition: Exploring the Role of Installed Base, Platform Quality and Consumer Expectations." Harvard Business School Working Paper, No. 08-031, November 2007.
- 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.)
- 2019
- Chapter
Markets as Networks: The Dynamics and Implications of Interorganizational Network Structures
By: Ranjay Gulati and Maxim Sytch
We discuss existing research that applies a relational, socio-structural lens to studying organizations and markets. Research in this field has described markets first and foremost as networks of enduring relationships and repeated interactions among organizations. We... View Details
Gulati, Ranjay, and Maxim Sytch. "Markets as Networks: The Dynamics and Implications of Interorganizational Network Structures." In The Palgrave Encyclopedia of Strategic Management. Continuously updated edition, edited by Mie Augier and David J. Teece. Palgrave Macmillan, 2019. Electronic. (Pre-published, October 2013 and updated in 2014.)
- 19 Nov 2010
- Working Paper Summaries
Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans
- 2008
- Working Paper
The Flattening Firm and Product Market Competition: The Effect of Trade Liberalization
By: Maria Guadalupe and Julie Wulf
This paper establishes a causal effect of competition from trade liberalization on various characteristics of organizational design. We exploit a unique panel dataset on firm hierarchies (1986-1999) of large U.S. firms and find that increasing competition leads firms... View Details
Keywords: Trade; Managerial Roles; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Business Strategy; Competitive Strategy
Guadalupe, Maria, and Julie Wulf. "The Flattening Firm and Product Market Competition: The Effect of Trade Liberalization." Harvard Business School Working Paper, No. 09-067, November 2008.
- 2017
- Working Paper
The Decline of Big-Bank Lending to Small Business: Dynamic Impacts on Local Credit and Labor Markets
By: Brian S. Chen, Samuel G. Hanson and Jeremy C. Stein
Small business lending by the four largest banks fell sharply relative to others in 2008 and remained depressed through 2014. We explore the dynamic adjustment process following this credit supply shock. In counties where the largest banks had a high market share, the... View Details
Keywords: Small Business; Financing and Loans; Banks and Banking; System Shocks; Credit; Labor; United States
Chen, Brian S., Samuel G. Hanson, and Jeremy C. Stein. "The Decline of Big-Bank Lending to Small Business: Dynamic Impacts on Local Credit and Labor Markets." NBER Working Paper Series, No. 23843, September 2017.
- October 2007
- Article
The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market
By: Anita Elberse and Bharat N. Anand
One of the most visible and publicized trends in the movie industry is the escalation in movie advertising expenditures over time. Yet, the returns to movie advertising are poorly understood. The main reason is that disentangling the causal effect of advertising on... View Details
Keywords: Advertising; Stocks; Investment Return; Price; Revenue; Quality; Mathematical Methods; Motion Pictures and Video Industry
Elberse, Anita, and Bharat N. Anand. "The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market." Information Economics and Policy 19, nos. 3-4 (October 2007): 319–343. (Special Issue on Economics of the Media.)