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Show Results For
- All HBS Web
(1,172)
- News (245)
- Research (678)
- Events (17)
- Multimedia (2)
- Faculty Publications (241)
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- January–February 2014
- Article
The New Patterns of Innovation
By: Rashik Parmar, Ian Mackenzie, David Cohn and David Gann
The search for new business ideas—and models—is hit-or-miss at most firms. Tackling the problem systematically, of course, will improve the odds of success. Traditional ways of framing this search examine competencies, customer needs, and shifts in the landscape. This... View Details
Parmar, Rashik, Ian Mackenzie, David Cohn, and David Gann. "The New Patterns of Innovation." Harvard Business Review 92, nos. 1-2 (January–February 2014): 86–95.
- December 2012
- Background Note
Are Daily Deals Good for Merchants?
By: Sunil Gupta, Timothy Keiningham, Ray Weaver and Luke Williams
In the relatively short time since Groupon was founded, the response to "daily deals"—services that promote businesses by marketing deeply discounted, pre-paid vouchers to an online subscriber base—has by all accounts been spectacular. Our evaluation of daily deals is... View Details
Keywords: Marketing; Technology; Business Strategy; Digital; Marketing Strategy; Web Services Industry
Gupta, Sunil, Timothy Keiningham, Ray Weaver, and Luke Williams. "Are Daily Deals Good for Merchants?" Harvard Business School Background Note 513-059, December 2012.
- September 2021
- Article
Joint Problem-solving Orientation in Fluid Cross-boundary Teams
By: Michaela J. Kerrissey, Anna T. Mayo and Amy C. Edmondson
Using interviews, a national field survey, and an online laboratory study, we have examined teamwork in fluid cross-boundary teams. Across three studies, we qualitatively discovered and quantitatively explored "joint problem-solving orientation" as a new team factor.... View Details
Keywords: Problem Solving; Cross-boundary Teams; Groups and Teams; Problems and Challenges; Performance
Kerrissey, Michaela J., Anna T. Mayo, and Amy C. Edmondson. "Joint Problem-solving Orientation in Fluid Cross-boundary Teams." Academy of Management Discoveries 7, no. 3 (September 2021): 381–405.
- 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
- Research Summary
Overview
By: John A. Deighton
Professor Deighton conducts research at the intersection of information technology and marketing. He is interested in the complementary uses of human and artificial intelligence and creativity in areas such as advertising, content creation, and online retailing. He... View Details
- 09 Dec 2019
- Research & Ideas
Identify Great Customers from Their First Purchase
and advances in machine learning technology. Ascarza expects her research will be published early next year and at that point plans to make the code for her model available online for free. With the help of a trained View Details
- 10 Feb 2020
- In Practice
6 Ways That Emerging Technology Is Disrupting Business Strategy
on master plans and involved time horizons measured in decades. Now, online platforms, algorithms, and ubiquitous data allow firms to test these decisions quickly, sometimes in a matter of months or weeks.... View Details
Keywords: by Danielle Kost
- February 2020 (Revised April 2021)
- Case
StockX: The Stock Market of Things
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things." Harvard Business School Case 620-062, February 2020. (Revised April 2021.)
- 17 Jun 2013
- Research & Ideas
Advertising Symbiosis: The Key to Viral Videos
Teixeira, which identifies the ingredients necessary to create online videos so compelling that viewers will not only want to watch them but also actively seek them out and share them with friends, family, and coworkers. The research... View Details
- October 2018 (Revised July 2019)
- Case
Sidewalk Labs: Privacy in a City Built from the Internet Up
By: Leslie K. John, Mitchell Weiss and Julia Kelley
Email mking@hbs.edu for a courtesy copy.
By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details
By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people... View Details
Keywords: Public Entrepreneurship; Govtech; CivicTech; Smart Cities; City Innovation; Government Innovation; Privacy; Sidewalk Labs; Dan Doctoroff; Entrepreneurship; Public Sector; Consumer Behavior; Governance; Business and Government Relations; Innovation and Invention; Technology Industry; Public Administration Industry; Transportation Industry; Real Estate Industry; Canada
John, Leslie K., Mitchell Weiss, and Julia Kelley. "Sidewalk Labs: Privacy in a City Built from the Internet Up." Harvard Business School Case 819-024, October 2018. (Revised July 2019.) (Email mking@hbs.edu for a courtesy copy.)
- 14 Oct 2009
- First Look
First Look: October 14
fiscal and risk premium data for Brazil states between 1891 and 1930 to show that Brazilian states with natural endowments that were allowed to export commodities high in demand (e.g., rubber and coffee) ended up having higher revenues... View Details
Keywords: Martha Lagace
- Research Summary
Overview
By: Chiara Farronato
Based on a broad interest in the economics of innovation and the Internet, Professor Farronato concentrates her research on the evolution of e-commerce and peer-to-peer online platforms, including platform adoption, economies of scale, and drivers of heterogeneous... View Details
- August 2022
- Article
The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices
By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John
Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits... View Details
Keywords: Choice; Purchase Intent; Privacy; Privacy Notices; Warnings; Assurances; Information Disclosure; Trust; Consumer Behavior; Spending; Decisions; Information; Communication
Brough, Aaron R., David A. Norton, Shannon L. Sciarappa, and Leslie K. John. "The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices." Journal of Marketing Research (JMR) 59, no. 4 (August 2022): 739–754.
- July 2021
- Article
The Effect of Price on Firm Reputation
By: Michael Luca and Oren Reshef
While a business's reputation can affect its pricing, prices can also affect its reputation. To explore the effect of prices on reputation, we investigate daily data on menu prices and online ratings from a large rating and ordering platform. We find that a price... View Details
Keywords: Pricing; Reputation Systems; IT Policy And Management; Economics Of Digital Platforms; Business Ventures; Reputation; Price; Consumer Behavior; Analysis
Luca, Michael, and Oren Reshef. "The Effect of Price on Firm Reputation." Management Science 67, no. 7 (July 2021): 4408–4419.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- Article
Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits
By: David R. Bell, Santiago Gallino and Antonio Moreno
Omnichannel environments where customers shop online and offline at the same retailer are ubiquitous and are deployed by online-first and traditional retailers alike. We focus on the relatively understudied domain of online-first retailers and the engagement of a key... View Details
Keywords: Experience Attributes; Marketing–operations Interface; Omnichannel Retailing; Quasi-experimental Methods; Retail Operations; Showrooms; Marketing Channels; Demand and Consumers; Performance Efficiency; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits." Management Science 64, no. 4 (April 2018): 1629–1651. (Winner of the 2014 POMS Applied Research Challenge. Workshop on Information Systems Economics Overall Best Paper Award 2014.)
- 17 Mar 2021
- Research & Ideas
Beyond Pajamas: Sizing Up the Pandemic Shopper
data-driven personalization platform for fashion retailers, provided us with an aggregated dataset of online apparel sales from a variety of anonymized well-known fashion retailers in the United States and the United Kingdom in 2019 and... View Details
- 24 Feb 2014
- Research & Ideas
Uncovering Racial Discrimination in the ‘Sharing Economy’
The "sharing economy" is a burgeoning business model in which people offer their personal belongings and personal services to others, usually through online marketplaces that facilitate the transactions. It seems absolutely egalitarian at... View Details
- 18 Oct 2018
- Research & Ideas
How to Use Free Shipping as a Competitive Weapon
multiple categories would be better served by offering online product discounts to their most frequent customers. "Our results suggest that that's a safer and in the end more profitable way for the firm to reward loyal... View Details
- Research Summary
A major area of Professor Torfason's research is the behavior of individual social network structures. He studies the violation of norms – specifically the use of excessive force in conflict situations – within the empirical context of a large online... View Details