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- Faculty Publications (130)
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- All HBS Web (570)
- Faculty Publications (130)
- 2025
- Working Paper
Residential Battery Storage - Reshaping The Way We Do Electricity
By: Christian Kaps and Serguei Netessine
In this paper, we aim to understand when private households invest in behind-the-meter battery storage next to rooftop solar and how those batteries impact households, the electricity market, and emissions. We answer three main research questions: 1) When do customers... View Details
Keywords: Solar Power; Energy Storage; Technology And Innovation Management; Energy; Energy Policy; Renewable Energy; Technological Innovation; Innovation and Management; Energy Industry
Kaps, Christian, and Serguei Netessine. "Residential Battery Storage - Reshaping the Way We Do Electricity." Working Paper, February 2025.
- 2008
- Working Paper
An Investigation of Earnings Management through Marketing Actions
By: Craig James Chapman and Thomas J. Steenburgh
Prior research hypothesizes managers use "real actions," including the reduction of discretionary expenditures, to manage earnings to meet or beat key benchmarks. This paper examines this hypothesis by testing how different types of marketing expenditures are used... View Details
Keywords: Performance Expectations; Earnings Management; Marketing Strategy; Financial Reporting; Brands and Branding; Food and Beverage Industry
Chapman, Craig James, and Thomas J. Steenburgh. "An Investigation of Earnings Management through Marketing Actions." Harvard Business School Working Paper, No. 08-073, February 2008. (Revised February 2009, December 2009, June 2010, July 2010.)
- 17 May 2016
- First Look
May 17, 2016
expectation that private profit not come at the expense of consumer welfare. Consumers, Corporations, and Public Health assembles 17 case studies at the intersection of business and public health to illustrate how each side can inform and... View Details
Keywords: Sean Silverthorne
Social Strategies That Work
Over a billion people use social platforms on the Internet, making them the most frequently visited category of sites. Some platforms, such as eHarmony, MeetUp, and Twitter, allow us to connect to strangers. eHarmony alone is estimated to account for one in six new... View Details
- February 2001 (Revised October 2002)
- Background Note
Entrepreneurial History: A Conceptual Overview
By: Nancy F. Koehn
Analyzes HBS cases on five entrepreneurs and the companies they built: Josiah Wedgwood, Henry Heinz, Marshall Field, Howard Schultz of Starbucks, and Michael Dell. These five cases and their accompanying teaching notes comprise a course module on entrepreneurial... View Details
Keywords: Transition; Demand and Consumers; Competition; Business History; Entrepreneurship; Customer Focus and Relationships; Business Strategy; Society
Koehn, Nancy F. "Entrepreneurial History: A Conceptual Overview." Harvard Business School Background Note 801-368, February 2001. (Revised October 2002.)
- 2013
- Working Paper
Competing by Restricting Choice: The Case of Search Platforms
By: Hanna Halaburda and Mikolaj Jan Piskorski
Seminal papers recommend that platforms in two-sided markets increase the number of complements available. We show that a two-sided platform can successfully compete by limiting the choice of potential matches it offers to its customers while charging higher prices... View Details
Keywords: Matching Platform; Indirect Network Effects; Limits To Network Effects; Decision Choices and Conditions; Network Effects; Two-Sided Platforms; Marketplace Matching; Competitive Strategy
Halaburda, Hanna, and Mikolaj Jan Piskorski. "Competing by Restricting Choice: The Case of Search Platforms." Harvard Business School Working Paper, No. 10-098, May 2010. (Revised June 2010, March 2011, August 2011, March 2013.)
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and 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; Programs; Consumer Behavior; Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- 30 Jul 2013
- First Look
First Look: July 30
for the introduction of health products in developing countries where consumers may be uncertain about product quality, and price subsidies are common policy instruments. Through a field experiment selling an unfamiliar health product in... View Details
Keywords: Anna Secino
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- 13 May 2014
- First Look
First Look: May 13
working paper: http://ssrn.com/abstract=2430174 Eliciting Taxpayer Preferences Increases Tax Compliance By: Lamberton, Cait, Jan-Emmanuel De Neve, and Michael I. Norton Abstract—Two experiments show that eliciting taxpayer View Details
Keywords: Sean Silverthorne
- 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.)
- 15 Aug 2023
- Research & Ideas
Why Giving to Others Makes Us Happy
to create conditions where helping people might feel good for the actor.” Plus, setting up both corporate and private giving programs properly may lead people to donate their time and money more often, she notes. At a time when economic uncertainty is driving both... View Details
Keywords: by Michael Blanding
- 17 Oct 2019
- Research & Ideas
‘Chick Beer’ for Women? Why Gender Marketing Repels More Than Sells
previous research, even stereotypes that cast people in a positive light—such as suggesting that women are kinder than men or that Asians excel in math—can trigger a negative reaction from these groups. Some companies have learned this lesson the hard way. View Details
- 28 Apr 2011
- Working Paper Summaries
When Smaller Menus are Better: Variability in Menu-Setting Ability and 401(k) Plans
Keywords: by David Goldreich & Hanna Halaburda
- 15 May 2024
- Research & Ideas
A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better
may be bridling widespread acceptance of automation, says Julian De Freitas, an assistant professor of business administration at Harvard Business School, and one of the authors of the piece forthcoming in the Journal of the Association for View Details
- 29 Sep 2014
- Research & Ideas
Why Do Outlet Stores Exist?
match different preferences is an improvement over a more limited selling strategy," he says, which allows consumers to buy cheaper, if less-trendy items at a lower cost just by driving a few hours.... View Details
- Web
Marketing - Faculty & Research
Social networks and user generated content have opened a new way for consumers to engage with each other as well as with brands and companies. There are significant changes in the attitudes of consumers and... View Details
- 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.
- 12 Oct 2021
- Research & Ideas
What Actually Draws Sports Fans to Games? It's Not Star Athletes.
Ferguson and Lakhani decided to test this theory using data from the Australian Football League (AFL), the wildly popular sport also known as “footy.” They detailed their findings in the recent working paper Consuming Contests: Outcome... View Details
- 30 May 2018
- Research & Ideas
Should Retailers Match Their Own Prices Online and in Stores?
two dozen retailers to determine which ones self-matched. They developed a model that analyzed various types of retail situations, and they considered a variety of consumer factors, including their View Details