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Show Results For
- All HBS Web
(722)
- People (2)
- News (80)
- Research (505)
- Events (10)
- Multimedia (8)
- Faculty Publications (377)
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- 2018
- Working Paper
Ratcheting, Competition, and the Diffusion of Technological Change: The Case of Televisions Under an Energy Efficiency Program
By: Tomomichi Amano and Hiroshi Ohashi
In differentiated goods markets with societal implications, quality standards are commonly implemented to avoid the under-provision of innovation. Firms have clear incentives to engage in strategic behavior because policymakers use market outcomes as a benchmark in... View Details
Keywords: Product Differentiation; Energy Efficiency Standards; Ratcheting; Diffusion Of Innovation; Technological Innovation; Competition; Quality; Governing Rules, Regulations, and Reforms; Policy
Amano, Tomomichi, and Hiroshi Ohashi. "Ratcheting, Competition, and the Diffusion of Technological Change: The Case of Televisions Under an Energy Efficiency Program." Harvard Business School Working Paper, No. 19-021, September 2018.
- December 2021
- Article
Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing
By: Julia Lee Cunningham, Francesca Gino, Dan Cable and Bradley Staats
Teams often fail to reach their potential because members’ concerns about being socially accepted prevent them from offering their unique perspectives to the team. Drawing on relational self and self-affirmation theory, we argue that affirmation of team members’ social... View Details
Keywords: Social Worth Affirmation; Relational Identity; Self-affirmation; Information Sharing In Teams; Concerns About Social Acceptance; Groups and Teams; Identity; Relationships; Knowledge Sharing
Cunningham, Julia Lee, Francesca Gino, Dan Cable, and Bradley Staats. "Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing." Academy of Management Journal 64, no. 6 (December 2021): 1816–1841.
- March 2016 (Revised February 2023)
- Teaching Note
Advertising Experiments at RestaurantGrades
By: Michael Luca, Weijia Dai and Hyunjin Kim
Advertising Experiments at RestaurantGrades is an exercise in which students are asked to analyze and make a recommendation on the basis of simulated experimental data. The setting is a hypothetical restaurant review company called RestaurantGrades (RG), which shows... View Details
- March 2006 (Revised February 2007)
- Case
UBS: Towards the Integrated Firm
By: Rajiv Lal, Nitin Nohria and Carin-Isabel Knoop
In late June 2005, UBS Group CEO Peter Wuffli--anointed "Master of Zurich" by the financial press--was returning to Zurich from the firm's latest three-day Senior Leadership Conference (SLC). Tapping 600 top managers, this SLC featured an outdoor event at a former... View Details
Lal, Rajiv, Nitin Nohria, and Carin-Isabel Knoop. "UBS: Towards the Integrated Firm." Harvard Business School Case 506-026, March 2006. (Revised February 2007.)
- March 2001 (Revised September 2005)
- Case
Madison Avenue: Digital Media Services (C)
By July 2000, Madison Avenue had experienced extraordinary growth in sales, employees, clients, and service offerings. From late 1999 to July 2000, the company had taken several initiatives to redesign its internal processes so that the firm could continue to grow,... View Details
Keywords: Service Operations; Digital Marketing; Product Development; Growth and Development Strategy; Advertising Industry
Spear, Steven J., and Anne Karshis. "Madison Avenue: Digital Media Services (C)." Harvard Business School Case 601-077, March 2001. (Revised September 2005.)
- November 2020
- Article
Taxation in Matching Markets
By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,... View Details
Dupuy, Arnaud, Alfred Galichon, Sonia Jaffe, and Scott Duke Kominers. "Taxation in Matching Markets." International Economic Review 61, no. 4 (November 2020): 1591–1634.
- October 2007
- Article
The Power of Stars: Do Star Actors Drive the Success of Movies?
By: Anita Elberse
Is the involvement of star actors critical to the success of motion pictures? Film studios, which they regularly pay multimillion-dollar fees to star actors, seem driven by that belief. I shed light on the returns on this investment using an event study that considers... View Details
Keywords: Talent and Talent Management; Film Entertainment; Investment Return; Revenue; Compensation and Benefits; Resource Allocation; Success; Motion Pictures and Video Industry
Elberse, Anita. "The Power of Stars: Do Star Actors Drive the Success of Movies?" Journal of Marketing 71, no. 4 (October 2007): 102–120. (Featured in HBS Working Knowledge.)
- 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
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- Article
Transition to Clean Technology
By: Daron Acemoglu, Ufuk Akcigit, Douglas Hanley and William R. Kerr
We develop a microeconomic model of endogenous growth where clean and dirty technologies compete in production and innovation, in the sense that research can be directed to either clean or dirty technologies. If dirty technologies are more advanced to start with, the... View Details
Keywords: Technological Innovation; Entrepreneurship; Environmental Sustainability; Green Technology Industry
Acemoglu, Daron, Ufuk Akcigit, Douglas Hanley, and William R. Kerr. "Transition to Clean Technology." Special Issue on Climate Change and the Economy. Journal of Political Economy 124, no. 2 (February 2016): 52–104.
- Research Summary
People Are Experience Goods: Improving Online Dating with Virtual Dates
Because internet search mechanisms are designed for finding searchable items, we tend to conceptualize the things we seek online in terms of their objective characteristics. For some pursuits, however, this illuminates a mismatch between processes and goals. In online... View Details
- August 2014
- Article
Incentives in a Stage-Gate Process
By: Raul O. Chao, Kenneth C. Lichtendahl and Yael Grushka-Cockayne
Many large organizations use a stage‐gate process to manage new product development projects. In a typical stage‐gate process project managers learn about potential ideas from research and exert effort in development while senior executives make intervening go/no‐go... View Details
Chao, Raul O., Kenneth C. Lichtendahl, and Yael Grushka-Cockayne. "Incentives in a Stage-Gate Process." Production and Operations Management 23, no. 8 (August 2014): 1286–1298.
- 2016
- Article
Penalized Fast Subset Scanning
By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic.... View Details
Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
- 11 Sep 2017
- Research & Ideas
Why Employers Favor Men
discrimination does indeed work against women in the hiring process. Testing for gender bias To simulate a real-life hiring situation, the researchers created online experiments with 100 participants representing workers seeking jobs, and... View Details
Keywords: by Dina Gerdeman
- 09 Jan 2024
- In Practice
Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year
contexts demonstrated that generative AI has the potential to enhance productivity (speed and efficiency of task completion), quality (precision in execution), and creativity (albeit with limitations). Notably, the simulation of synthetic... View Details
- 2020
- Working Paper
Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty
By: J. Peter Scoblic
This paper proposes to treat strategic foresight as a dynamic capability, providing a new theoretical lens on managerial judgment. Formulating strategy under uncertainty is a central challenge facing the modern firm. Analogy is thought to help managers make sense of... View Details
Keywords: Foresight; Dynamic Capabilities; Managerial Judgment; Risk and Uncertainty; Management; Strategy
Scoblic, J. Peter. "Strategic Foresight as Dynamic Capability: A New Lens on Knightian Uncertainty." Harvard Business School Working Paper, No. 20-093, March 2020.
- 2012
- Article
The Excess Burden of Government Indecision
By: Francisco J. Gomes, Laurence J. Kotlikoff and Luis M. Viceira
Governments are known for procrastinating when it comes to resolving painful policy problems. Whatever the political motives for waiting to decide, procrastination distorts economic decisions relative to what would arise with early policy resolution. In so doing, it... View Details
Keywords: Saving; Risk and Uncertainty; Investment Portfolio; Decision Choices and Conditions; Retirement; Policy; Government and Politics
Gomes, Francisco J., Laurence J. Kotlikoff, and Luis M. Viceira. "The Excess Burden of Government Indecision." Tax Policy and the Economy 26 (2012): 125–163.
- 2012
- Working Paper
~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)