Publications
Publications
Show Results For
-
All HBS Web
(81)
- Faculty Publications (14)
Page 1 of
14
Results
Are you looking for?
While selfish incentives typically outperform prosocial incentives, in the context of customer referral rewards, prosocial incentives can be more...
Describes the power of word-of-mouth referral for service organizations. Illustrates a process to help students and/or managers calculate the value...
- May 2021
- 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;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- 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;
Digital Marketing;
E-commerce;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Data and Data Sets;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Online Advertising;
Online Technology;
Mobile Technology;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- 2020
- Working Paper
Hunting for Talent: Firm-Driven Labor Market Search in America
By: Rembrand Koning, Sharique Hasan and Ines Black
Research suggests that increased digitization of the labor market combined with the changing demand for skill has altered the job-search process. In this article, we argue that these changes have led to increased investments in firm-driven search for talent (or...
View Details
- February 2020
- Article
Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs
By: Rachel Gershon, Cynthia Cryder and Leslie K. John
While selfish incentives typically outperform prosocial incentives, in the context of customer referral rewards, prosocial incentives can be more effective. Companies frequently offer “selfish” (i.e., sender-benefiting) referral incentives, offering customers financial...
View Details
- June 2018
- Article
Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged
By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across...
View Details
- April 2018
- Article
Compromised Ethics in Hiring Processes? How Referrers' Power Affects Employees' Reactions to Referral Practices
By: Rellie Derfler-Rozin, Bradford Baker and F. Gino
In this paper, we explore referral-based hiring practices and show how a referrer’s power (relative to the hiring manager) influences other organizational members’ support (or lack thereof) for who is hired through perceptions of the hiring manager’s motives and...
View Details
- August 2017 (Revised November 2017)
- Case
VTS
By: Mark Roberge and Michael Roberts
The case raises issues around sales force deployment and management issues in the SaaS industry. Specifically, VTS sells a software product to the real estate industry and has designed a Go-to-Market strategy for what the founders perceive to be the unique...
View Details
- July 2017 (Revised November 2017)
- Case
Propel
By: Mitchell Weiss and Sarah McAra
In 2014, Jimmy Chen, a former product manager at Facebook, founded the start-up Propel to build software for low-income Americans. After conducting in-depth behavioral research, Chen and his small team in New York City began to develop technology to address the...
View Details
Keywords:
Public Entrepreneurship;
Govtech;
Food Stamps;
EBT;
Mobile App;
User Research;
Financial Services Referrals;
Grocery Marketing;
Customer Discovery;
Social Entrepreneurship;
Entrepreneurship;
Public Sector;
Business Model;
Research;
Social Enterprise;
Poverty;
Welfare;
Mobile Technology;
Software;
Technology Industry;
United States
- 2013
- Dissertation
Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers...
View Details
- September – October 2011
- Article
Manage the Culture Cycle
By: James L. Heskett
Organizational culture—the shared assumptions, values, and behaviors that determine "how we do things around here"—can be measured and shaped. In organizations with large numbers of customer-facing employees, it can account for up to half of the difference in operating...
View Details
- October 2000 (Revised March 2001)
- Case
BizRate.com
By: Youngme E. Moon
BizRate is a market research firm that collects point-of-purchase customer feedback data from retailing merchants. It then makes its findings available to consumers in the form of "BizRate star ratings," which are displayed on its website. To date, its primary revenue...
View Details
- October 1999 (Revised October 2005)
- Case
Autobytel.com
By: Youngme E. Moon
Autobytel enjoys first-mover advantage in the Internet new car buying space. According to a number of metrics, it is the online leader in this category. However, a number of competitors have sprung up, raising questions about the long-term viability of Autobytel's...
View Details
- February 1999
- Case
Lifeline Systems, Inc. (B)
By: H. Kent Bowen and Marilyn Matis
In 1997, Lifeline Systems continues to grow its service business to $32 million, 56% of the company's total revenues. More local hospital Lifeline programs turn over their monitoring service to Lifeline Central, expanding the company's subscriber base by 30%. The...
View Details
- September 1997 (Revised March 2000)
- Case
Circles
By: William A. Sahlman and Jon Biotti
Janet Kraus and Kathy Sherbrooke started a resource and referral company specializing in helping busy people get things done. Issues include financing and product and marketing strategy.
View Details