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Show Results For
- All HBS Web
(1,972)
- People (2)
- News (289)
- Research (1,173)
- Events (33)
- Multimedia (12)
- Faculty Publications (750)
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- Article
Channel Integration, Sales Dispersion, and Inventory Management
By: Santiago Gallino, Antonio Moreno and Ioannis Stamatopoulos
We study the effects of the introduction of cross-channel functionalities on the overall sales dispersion of retailers and the implications of these effects for inventory management. To do that, we analyze data from a leading U.S. retailer who introduced a... View Details
Keywords: Retail Operations; Online Retail; Channel Integration; Sales Dispersion; Long Tail; Empirical Operations; Inventory Management; Omnichannel Retail; Marketing Channels; Integration; Sales; Logistics; Operations; Management; Retail Industry
Gallino, Santiago, Antonio Moreno, and Ioannis Stamatopoulos. "Channel Integration, Sales Dispersion, and Inventory Management." Management Science 63, no. 9 (September 2017): 2813–2831.
- January 2015
- Article
Marketplace or Reseller?
By: Andrei Hagiu and Julian Wright
Intermediaries can choose between functioning as a marketplace (on which suppliers sell their products directly to buyers) or as a reseller (purchasing products from suppliers and selling them to buyers). We model this as a decision between whether control rights over... View Details
Hagiu, Andrei, and Julian Wright. "Marketplace or Reseller?" Management Science 61, no. 1 (January 2015): 184–203.
- 2019
- Working Paper
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
- Article
Assent-maximizing Social Choice
By: Katherine A. Baldiga and Jerry R. Green
We take a decision theoretic approach to the classic social choice problem, using data on the frequency of choice problems to compute social choice functions. We define a family of social choice rules that depend on the population's preferences and on the probability... View Details
Keywords: Decision Choices and Conditions; Theory; Measurement and Metrics; Mathematical Methods; Society
Baldiga, Katherine A., and Jerry R. Green. "Assent-maximizing Social Choice." Social Choice and Welfare 40, no. 2 (February 2013): 439–460.
- July 2011
- Article
Mixed Source
By: Ramon Casadesus-Masanell and Gaston Llanes
We study competitive interaction between a profit-maximizing firm that sells software and complementary services and a free open source competitor. We examine the firm's choice of business model between the proprietary model (where all software modules are... View Details
Keywords: Competition; Open Source Distribution; Profit; Sales; Applications and Software; Service Operations; Business Model; Decision Choices and Conditions; Quality; Value Creation
Casadesus-Masanell, Ramon, and Gaston Llanes. "Mixed Source." Management Science 57, no. 7 (July 2011): 1212–1230.
- September 2009 (Revised April 2011)
- Supplement
Integrated Project Delivery at Autodesk, Inc. (C)
By: Amy C. Edmondson and Faaiza Rashid
Describes Autodesk's engagement in Integrated Project Delivery—a new model of risk management, inter-firm teamwork, and multi-objective (aesthetic, cost, and sustainability) optimization in building projects. In 2008, Autodesk, Inc. the world's largest design software... View Details
Keywords: Risk Management; Groups and Teams; Goals and Objectives; Collaborative Innovation and Invention; Integration; Construction Industry
Edmondson, Amy C., and Faaiza Rashid. "Integrated Project Delivery at Autodesk, Inc. (C)." Harvard Business School Supplement 610-018, September 2009. (Revised April 2011.)
- 2008
- Working Paper
Hiring Cheerleaders: Board Appointments of 'Independent' Directors
By: Lauren Cohen, Andrea Frazzini and Christopher J. Malloy
We test the hypothesis that firms appoint independent directors who are overly sympathetic to management, while still technically independent according to regulatory definitions. We explore a subset of independent directors for whom we have detailed, micro-level data... View Details
Keywords: Competency and Skills; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Managerial Roles; Prejudice and Bias
Cohen, Lauren, Andrea Frazzini, and Christopher J. Malloy. "Hiring Cheerleaders: Board Appointments of 'Independent' Directors." NBER Working Paper Series, No. 14232, August 2008.
- 16 May 2013
- Working Paper Summaries
Marketplace or Reseller?
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
instead. At the same time, for other tasks, AI will provide useful outputs, but will need humans to optimize these outputs and complete tasks successfully. When thinking about “knowledge work,” it is especially important to consider that... View Details
- Research Summary
Level Playing Fields in International Financial Regulation
Joint work with Alan Morrison, Saïd Business School, Oxford.
We study a model of featuring two economies with adverse selection of and moral hazard by bankers. We demonstrate... View Details
- May–June 2025
- Article
Branch-and-Price for Prescriptive Contagion Analytics
By: Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé and Kai Wang
Contagion models are ubiquitous in epidemiology, social sciences, engineering, and management. This paper formulates a prescriptive contagion analytics model where a decision maker allocates shared resources across multiple segments of a population, each governed by... View Details
Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. "Branch-and-Price for Prescriptive Contagion Analytics." Operations Research 73, no. 3 (May–June 2025): 1558–1580.
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset... View Details
Keywords: Sharing Economy; Airbnb; Property Demand; Computer Vision; Deep Learning; Image Feature Extraction; Content Engineering; Property; Marketing; Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- 2016
- Working Paper
Algorithmic Foundations for Business Strategy
By: Mihnea Moldoveanu
I introduce algorithmic and meta-algorithmic models for the study of strategic problem solving, aimed at illuminating the processes and procedures by which strategic managers and firms deal with complex problems. These models allow us to explore the relationship... View Details
Moldoveanu, Mihnea. "Algorithmic Foundations for Business Strategy." Harvard Business School Working Paper, No. 17-036, October 2016.
- May 2015
- Case
Pricing in a Digital World (2015)
By: John Gourville
Dynamic pricing, especially as practiced by Uber and Lift, seems to be all the rage. In this case, we look at five interesting applications of dynamic price and price customization, each made possible by advances in digital technology. These range from the online... View Details
- July 2000 (Revised November 2001)
- Case
Catalyst Medical Solutions
By: Amy C. Edmondson, Richard M.J. Bohmer and Naomi Atkins
Faced with a drop in the NASDAQ, four eHealth entrepreneurs must decide between two distribution strategies for their new company's technology. The team, comprised of three full-time resident physicians and an MBA, has developed software to enable electronic... View Details
Keywords: Product Development; Health Care and Treatment; Distribution; Strategy; Venture Capital; Applications and Software; Partners and Partnerships; Borrowing and Debt; Information Technology Industry; Service Industry
Edmondson, Amy C., Richard M.J. Bohmer, and Naomi Atkins. "Catalyst Medical Solutions." Harvard Business School Case 601-014, July 2000. (Revised November 2001.)
- 21 Apr 2009
- First Look
First Look: April 21, 2009
setting or a more general oligopoly context. Most past research has found two-part tariffs to be optimal in many settings. More recent research has begun to investigate the limits of such optimality and when... View Details
Keywords: Martha Lagace
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2022
- Chapter
Decarbonizing Academia's Flyout Culture
By: Nicholas Poggioli and Andrew J. Hoffman
Flight is technologically and culturally central to academic life. Academia's flyout culture is built on a set of shared beliefs and values about the importance of flying to being an academic. But flight also generates a large proportion of academia’s carbon emissions,... View Details
Keywords: Carbon Emissions; Air Transportation; Values and Beliefs; Environmental Sustainability; Higher Education; Education Industry
Poggioli, Nicholas, and Andrew J. Hoffman. "Decarbonizing Academia's Flyout Culture." Chap. 10 in Academic Flying and the Means of Communication, edited by Kristian Bjørkdahl and Adrian Santiago Franco Duharte, 237–268. Palgrave Macmillan, 2022.