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- Article
Fake AI People Won't Fix Online Dating
Computer-generated images may inspire even more distrust and surely won’t lead to the love of a lifetime. View Details
Keywords: Artificial Intelligence; Dating Services; Internet and the Web; Ethics; AI and Machine Learning
Kominers, Scott Duke. "Fake AI People Won't Fix Online Dating." Bloomberg Opinion (January 16, 2020).
- 28 Aug 2006
- Research & Ideas
Online Match-Making with Virtual Dates
Literally millions of people have found dates through online match-making services, so who says the Internet is isolating? The problem for many users, however, is that initial matches are often... View Details
- 2006
- Working Paper
Improving Online Dating with Virtual Dates
By: Jeana H. Frost, Michael I. Norton and Dan Ariely
- 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
- winter 2008
- Article
People Are Experience Goods: Improving Online Dating with Virtual Dates
By: Jeana H. Frost, Zoe Chance, Michael I. Norton and Dan Ariely
Frost, Jeana H., Zoe Chance, Michael I. Norton, and Dan Ariely. "People Are Experience Goods: Improving Online Dating with Virtual Dates." Journal of Interactive Marketing 22, no. 1 (winter 2008): 51–62.
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- January 2022
- Case
Dating Ring
By: Thomas R. Eisenmann and Lindsay N. Hyde
In 2015, the co-founders of Dating Ring, an online dating startup that relied on human matchmakers to arrange dates between its members, were deciding whether to either shut down the service or instead manage Dating Ring as a "lifestyle company," ramping down growth... View Details
Keywords: Entrepreneurship; Failure; Business Exit or Shutdown; Internet and the Web; Venture Capital; Service Industry; Entertainment and Recreation Industry; United States
Eisenmann, Thomas R., and Lindsay N. Hyde. "Dating Ring." Harvard Business School Case 822-013, January 2022.
- 02 Apr 2012
- Research & Ideas
Do Online Dating Platforms Help Those Who Need Them Most?
least. (He is documenting his findings in a book, due to come out in 2013.) In a recent seminar at HBS, Piskorksi shared some findings on the online dating industry, where the research opportunities are... View Details
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
Their research suggests that transparency on dating sites—as simple as allowing users to see the identity and photos of those who “swiped right” to show their interest—improves engagement for both men and women. Since Match.com launched... View Details
Keywords: by Kara Baskin
- August 2017 (Revised November 2017)
- Case
Paktor: Designing a Dating App
By: Michael Luca, Stephanie Chan and Essie Alamsyah
Paktor is a popular mobile-based online dating app from Singapore, where a user can swipe right or left on a profile to indicate her interest in a potential match. The case is designed to explore issues related to pricing, market design, and launch strategies in the... View Details
Luca, Michael, Stephanie Chan, and Essie Alamsyah. "Paktor: Designing a Dating App." Harvard Business School Case 918-005, August 2017. (Revised November 2017.)
- 30 Oct 2017
- Research & Ideas
Asking Questions Can Get You a Better Job or a Second Date
intelligent as well.” The research, published in the paper It Doesn’t Hurt to Ask: Question-Asking Increases Liking, examined data from online chats and face-to-face speed dating conversations. In addition... View Details
Keywords: by Rachel Layne
- December 2012 (Revised September 2022)
- Case
BabbaCo
By: Jeffrey J. Bussgang and Gaurav Jain
Having just raised a Series B financing, the case protagonist is faced with a tough decision: should she "step on the gas" and scale the customer base, or continue focusing on fine-tuning the product and business model. The case describes the various marketing channels... View Details
Keywords: Subscription; Marketing; Scaling; Product-market Fit; Online Marketing; Customers; Decisions; Expansion; Marketing Channels; Business Startups; Growth and Development Strategy; Digital Marketing; Marketing Strategy
Bussgang, Jeffrey J., and Gaurav Jain. "BabbaCo." Harvard Business School Case 813-107, December 2012. (Revised September 2022.)
- 04 Dec 2007
- First Look
First Look: December 4, 2007
identities, specifically previously enacted ones, constitute potent incentives for inducing efforts or actions. People Are Experience Goods: Improving Online Dating with Virtual View Details
Keywords: Martha Lagace
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- 12 Mar 2006
- Research & Ideas
New Research Explores Multi-Sided Markets
(the quintessential two-sided platform) must serve both men and women. Q: Please give some examples of these markets. A: Examples are pervasive in today's economy and range from dating clubs (men and women), financial exchanges, real... View Details
- 25 May 2010
- First Look
First Look: May 25
(revised) Authors:Itai Ashlagi, Benjamin G. Edelman, and Hoan Lee Abstract We model competing auctions for online advertising, with attention to the participation costs that limit advertisers' interest in using small ad platforms. When... View Details
Keywords: Martha Lagace
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- May–June 2021
- Article
Why Start-ups Fail
If you’re launching a business, the odds are against you: Two-thirds of start-ups never show a positive return. Unnerved by that statistic, a professor of entrepreneurship at Harvard Business School set out to discover why. Based on interviews and surveys with hundreds... View Details
Eisenmann, Thomas R. "Why Start-ups Fail." Harvard Business Review 99, no. 3 (May–June 2021): 76–85.
- 05 Apr 2011
- First Look
First Look: April 5
those that return instantaneous results—even when those results are identical. In five experiments that simulate service experiences in the domains of online travel and online dating, we demonstrate the... View Details
Keywords: Sean Silverthorne
- 16 Jul 2007
- Research & Ideas
Understanding the ‘Want’ vs. ’Should’ Decision
analyzed a year of individual-level data from a North American online grocer to determine how the delay between when a person's order was completed and when it was delivered affected the content of the order. In general, as the delay... View Details