Filter Results:
(1,089)
Show Results For
- All HBS Web (1,089)
- Faculty Publications (439)
Show Results For
- All HBS Web (1,089)
- Faculty Publications (439)
- 24 Jan 2017
- First Look
First Look at New Research: January 24, 2017
realized. Our model aligns with many observed empirical regularities, and we quantify our framework by matching Census Bureau operating data with patent data for U.S. firms. We observe that internal innovation scales moderately faster... View Details
Keywords: Sean Silverthorne
- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
- 2008
- Chapter
Allocating Marketing Resources
By: Sunil Gupta and Thomas J. Steenburgh
Companies spend billions of dollars on marketing every year because it is essential to organic growth. Given these large investments, marketing managers have the responsibility to optimally allocate resources and to demonstrate that their investments generate... View Details
Keywords: Investment Return; Resource Allocation; Marketing; Demand and Consumers; Mathematical Methods
Gupta, Sunil, and Thomas J. Steenburgh. "Allocating Marketing Resources." In Marketing Mix Decisions: New Perspectives and Practices, edited by Roger A. Kerin and Rob O'Regan. Chicago, IL: American Marketing Association, 2008.
- 09 Sep 2008
- First Look
First Look: September 9, 2008
responses by firms that receive poor ratings, especially those that face lower cost opportunities to improve and that operate in highly regulated industries. Our empirical analysis examines how nearly 600 firms in the United States... View Details
Keywords: Sean Silverthorne
- 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.
- May 2010
- Article
Bye Bye Bundles: The Unbundling of Music in Digital Channels
By: Anita Elberse
Fueled by digital distribution, unbundling is prevalent in many information industries. What is the effect of this unbundling on sales? And what bundle characteristics drive this effect? I empirically examine these questions in the context of the music industry, using... View Details
Keywords: Unbundling; Bundling; Digital Distribution; System-of-equations Modeling; Sales; Distribution Channels; Framework; Mathematical Methods; Revenue; Reputation; Internet and the Web; System; E-commerce; Information Industry; Music Industry
Elberse, Anita. "Bye Bye Bundles: The Unbundling of Music in Digital Channels." Journal of Marketing 74, no. 3 (May 2010): 107–123.
- 23 Jan 2007
- First Look
First Look: January 23, 2007
respectively, have revolutionized the relationship between the individual and computer technology. Once the exclusive domain of academia and research facilities, computers can now be found in every area of business, government, and... View Details
Keywords: Martha Lagace
- Research Summary
Overview
By: Ethan C. Rouen
Relying on empirical archival methodologies—as well as techniques in data science—to develop and structure new sources of data by which to approach questions of looming disclosure changes, Professor Rouen has focused on one of the Securities and Exchange Commission’s... View Details
- 16 Feb 2016
- First Look
February 16, 2016
vary in their propensity to violate MAP policies and the depth by which they do so. Our inductive research approach documents managerial wisdom about MAP practices. We confront these insights from practice with a large View Details
Keywords: Sean Silverthorne
- 03 Nov 2015
- First Look
November 3, 2015
these models, the demand curve alone can be used to make welfare statements, a fact relied on by much empirical work. There is ample evidence, though, that people misuse care for a different reason: mistakes or "behavioral... View Details
Keywords: Sean Silverthorne
- June–July 2013
- Article
Firm Rivalry, Knowledge Accumulation, and MNE Location Choices
By: Juan Alcacer, Cristian Deszo and Minyuan Zhao
The international business (IB) literature has mostly emphasized the impact of location and firm characteristics on location choices. However, industries with a significant presence of multinational enterprises (MNEs) are oligopolistic in nature, which suggests that... View Details
Keywords: Geographic Location; Competition; Multinational Firms and Management; Knowledge Acquisition; Game Theory; Global Strategy
Alcacer, Juan, Cristian Deszo, and Minyuan Zhao. "Firm Rivalry, Knowledge Accumulation, and MNE Location Choices." Special Issue on The Multinational in Geographic Space. Journal of International Business Studies 44, no. 5 (June–July 2013): 504–520.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- 10 Jan 2012
- First Look
First Look: January 10
person in need, which, in turn, increased intentions to help. Inflation-Indexed Bonds and the Expectations Hypothesis Authors:Carolin E. Pflueger and Luis M. Viceira Publication:Annual Review of Financial Economics 3 (December 2011) Abstract This paper View Details
Keywords: Sean Silverthorne
- Web
2023 Reunion Presentations - Alumni
circumstances may be, and getting there is an art and a science. In this session, Professor Brooks will discuss his latest research on happiness, dispel the myths about finding unrealistic perfect bliss, and share ways to improve your... View Details
- 19 Jul 2006
- Research & Ideas
Political Turmoil and Mexico’s Economy
What happens to a country's economy when its government is politically unstable, such as has been the case historically in Mexico? Can business get done under a strong-arm dictatorship, or when a government is too weak to protect the rights of its citizens? In View Details
Keywords: by Julia Hanna
- 17 Jun 2020
- Blog Post
Black MBA Students Pen Letters to the HBS Community: Letter 2/5
murders – George Floyd, Breonna Taylor, Ahmaud Arbery – are preceded by a nearly unbroken thread of terror and oppression that has been imposed on Black Americans. So, what I want to share with the HBS community is simple. I. If you can’t fathom how this happened,... View Details
- 21 Jul 2015
- First Look
First Look: July 21, 2015
Across three studies, we show that gift givers mis-predict appreciation for socially responsible gifts and that their mis-predictions depend on the nature of their relationship to the recipient. Drawing on research on affective... View Details
Keywords: Sean Silverthorne
- Research Summary
Overview
My focus is empirical financial accounting research, with particular interests in governance, valuation, M&A, and short-sellers. All three of my papers to date fall under the broad heading of “alternative governance mechanisms”—studies of how accounting information is... View Details
- Research Summary
Overview
My focus is empirical financial accounting research, with particular interests in governance, valuation, M&A, and short-sellers. All three of my papers to date fall under the broad heading of “alternative governance mechanisms”—studies of how accounting information is... View Details
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.