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- 2021
- Working Paper
Risk Sensitivity or Social Signaling? Unmasking Behaviors with Video Analytics
By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down the spread of the coronavirus. Why did people comply, or not, while shopping in 2020? Do these motivations relate to their shopping...
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- 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...
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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
- March 17, 2021
- Other Article
Beyond Pajamas: Sizing Up the Pandemic Shopper
By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
While the pandemic is still playing out, our preliminary investigations... View Details
While the pandemic is still playing out, our preliminary investigations... View Details
Keywords:
Retail;
Retail Analytics;
Consumer;
Pandemic;
COVID;
COVID-19;
Apparel;
Ecommerce;
E-commerce;
Online Shopping;
Online Apparel;
Online Sales;
Returns;
CRM;
Customer Retention;
Customer Experience;
Customer Value;
Digital;
Customer Focus and Relationships;
Customers;
Health Pandemics;
Consumer Behavior;
Customer Relationship Management;
Online Technology;
Behavior;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States;
United Kingdom
- 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
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data.
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- September 2019
- Case
Starling Trust Sciences: Measuring Trust in Organizations
By: Aiyesha Dey, Jonas Heese and James Weber
Stephen Scott needed to decide whether to keep his behavioral analytics startup in the people analytics sector or shift his company into the RegTech sector. Starling had develop technology that enabled its customers to anticipate and shape the behavior of their...
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- August 2019
- Case
Bark Gift Shop Ltd.
By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in...
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- Article
Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications
By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning...
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- January 2019
- Teaching Note
Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing
By: Ayelet Israeli
Teaching Note for HBS No. 519-011. As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a...
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Keywords:
DTC;
Direct To Consumer Marketing;
Health Care;
E-commerce;
Mobile;
Digital Marketing;
Attribution;
Experimentation;
Experiments;
Churn/retention;
Customer Lifetime Value;
Internet Marketing;
Big Data;
Analytics;
Social Media;
A/B Testing;
CRM;
Advertising;
Marketing;
Marketing Channels;
Marketing Strategy;
Media;
Brands and Branding;
Marketing Communications;
Online Advertising;
Acquisition;
Growth and Development Strategy;
Customer Focus and Relationships;
Consumer Behavior
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded...
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- Article
The Impact of the 'Open' Workspace on Human Collaboration
By: Ethan Bernstein and Stephen Turban
Organizations’ pursuit of increased workplace collaboration has led managers to transform traditional office spaces into “open,” transparency-enhancing architectures with fewer walls, doors, and other spatial boundaries, yet there is scant direct empirical research on...
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Keywords:
Open Office;
Transparency;
Collaboration;
Collective Intelligence;
Workspace;
Workspace Design;
Architecture;
Cubicles;
Boundaries;
Spatial Boundaries;
Human Behavior;
Propinquity;
Co-location;
Interaction;
Sociometers;
People Analytics;
Buildings and Facilities;
Communication;
Design;
Human Resources;
Leadership;
Management;
Organizational Design;
Organizational Structure;
Networks;
Social and Collaborative Networks;
Technology;
United States
- August 2018 (Revised October 2020)
- Case
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills...
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Keywords:
Startup;
Services;
Artificial Intelligence;
Machine Learning;
Digital Marketing;
Brand Management;
Big Data;
Internet Marketing;
Analytics;
Marketing;
Marketing Strategy;
Brands and Branding;
Technology;
Entrepreneurship;
Venture Capital;
Business Model;
Consumer Behavior;
Advertising Industry;
Service Industry;
Technology Industry;
United States;
North America;
Israel
- August 2018 (Revised December 2020)
- Case
Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing
By: Jill Avery and Ayelet Israeli
As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a valuation of $200 million and debating...
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Keywords:
DTC;
Direct To Consumer Marketing;
Health Care;
E-commerce;
Mobile;
Digital Marketing;
Attribution;
Experimentation;
Experiments;
Churn/retention;
Customer Lifetime Value;
Internet Marketing;
Big Data;
Analytics;
Social Media;
A/B Testing;
CRM;
Advertising;
Marketing;
Marketing Channels;
Marketing Strategy;
Media;
Brands and Branding;
Marketing Communications;
Online Advertising;
Consumer Behavior;
Acquisition;
Growth and Development Strategy;
Customer Focus and Relationships;
Health Industry;
Consumer Products Industry;
United States;
North America;
Europe
- May 2018
- Case
The Multiple Myeloma Research Foundation's Answer Fund
By: Richard G. Hamermesh and Matthew G. Preble
Keywords:
Data Analytics;
Customer Focus and Relationships;
Customer Relationship Management;
Cost vs Benefits;
Investment Return;
Health Care and Treatment;
Innovation Leadership;
Intellectual Property;
Knowledge Sharing;
Knowledge Dissemination;
Leadership;
Leading Change;
Resource Allocation;
Goals and Objectives;
Marketing Communications;
Performance;
Programs;
Projects;
Business and Community Relations;
Business and Stakeholder Relations;
Networks;
Partners and Partnerships;
Research and Development;
Genetics;
Behavior;
Motivation and Incentives;
Social and Collaborative Networks;
Nonprofit Organizations;
Strategy;
Health Industry;
Pharmaceutical Industry;
Biotechnology Industry;
United States
- February 2018 (Revised October 2019)
- Technical Note
The Art and Science of Brand Valuation
By: Jill Avery
Brand valuation, the art and science of calculating the economic value accruing to a firm from its use of an intangible brand asset, yields frustratingly inconsistent, discrepant, and, therefore, controversial results. While it is widely accepted that brands are...
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Keywords:
Brand Valuation;
Brand Value;
Brand;
Brand Management;
Marketing ROI;
Brand Equity;
Analytics;
Return On Investment;
Brands and Branding;
Valuation;
Marketing;
Marketing Strategy;
Investment Return;
Consumer Behavior;
Advertising Industry;
Consumer Products Industry;
Apparel and Accessories Industry;
Auto Industry;
Beauty and Cosmetics Industry;
Electronics Industry;
Fashion Industry;
Food and Beverage Industry
- February 2018 (Revised December 2020)
- Supplement
People Analytics at Teach For America (Data Set)
This data set is a supplement to the People Analytics at Teach For America (A) case.
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- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Brands;
Brand ＆ Product Management;
Big Data;
＂Marketing Analytics＂;
Consumer Behavior;
Predictive Analytics;
Forecasting;
Preferences;
Operation Management;
Distribution Channels;
Marketing;
Marketing Channels;
Marketing Strategy;
Brands and Branding;
Forecasting and Prediction;
Data and Data Sets;
Retail Industry;
Fashion Industry;
Apparel and Accessories Industry;
United States;
North America
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
View Details
Keywords:
Retailing;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
E-commerce;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Data and Data Sets;
Forecasting and Prediction;
Apparel and Accessories Industry;
Consumer Products Industry;
Fashion Industry;
Retail Industry;
United States;
Canada;
North America
- September 2016 (Revised May 2018)
- Case
Zurich Insurance: Global Job Structure and Data Analysis
By: Boris Groysberg and Katherine Connolly
Zurich Insurance was undergoing organizational change after implementing five new people practices focused on manager development, diversity and inclusion, job model and data analytics, recruitment, and talent pipeline. The case “Zurich Insurance: Fostering Key People...
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- Article
Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired
Richard Walton and Robert McKersie's closeness to practice, disciplinary rigor, and successful search for powerful generalizations help explain the lasting impact of the Behavioral Theory of Labor Relations. Ironically, the names they chose for the fundamental...
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