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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...
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- September 2020 (Revised April 2021)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
＂Marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-commerce;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised April 2021)
- Exercise
Artea (B): Including Customer-level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised April 2021)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised March 2021)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
View Details
- September 2020 (Revised March 2021)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- October 2019 (Revised December 2019)
- Case
Swizz Beatz and Alicia Keys: A Power Couple
By: Boris Groysberg, Annelena Lobb and Sarah Mehta
Set in 2018, this case follows married couple and music industry titans Swizz Beatz and Alicia Keys as they consider how best to use their platforms to achieve their goals. Since achieving professional success in the music industry early in their lives, Swizz and Keys...
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- July 2019
- Article
'Forward Flow': A New Measure to Quantify Free Thought and Predict Creativity
By: Kurt Gray, Stephen Anderson, Eric Evan Chen, John Michael Kelly, Michael S. Christian, John Patrick, Laura Huang, Yoed N. Kenett and Kevin Lewis
When the human mind is free to roam, its subjective experience is characterized by a continuously evolving stream of thought. Although there is a technique that captures people’s streams of free thought—free association—its utility for scientific research is undermined...
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- June 2019
- Article
Learning to Become a Taste Expert
By: Kathryn A. Latour and John A. Deighton
Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming expert center on cultivating an analytic mindset. In the present research the authors explore...
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- April 2019 (Revised April 2021)
- Case
Wayfair
By: Jeffrey F. Rayport, Susie L. Ma and Matthew G. Preble
In 2016 Niraj Shah and Steve Conine, founders of online home goods retailer Wayfair, are faced with a decision about how to improve user experience on their e-commerce sites. A key driver of consumer interest and conversion to purchase in the home category is visual...
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- November 2018
- Article
Worthy of Swift Trust? How Brief Interpersonal Contact Affects Trust Accuracy
By: Oliver Schilke and Laura Huang
Organizational scholars have long underscored the positive consequences of trust, yet trust can also have dysfunctional effects if it is not placed wisely. Though much research has examined conditions that increase individuals’ tendencies to trust others, we know very...
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- November 2018
- Case
Sportradar (A): From Data to Storytelling
By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann
In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on...
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Keywords:
Sports Data;
Data;
Sport;
Sportradar;
Football;
Soccer;
Gambling;
Betting;
Betting Markets;
Statistics;
Odds;
Live Data;
Bookmakers;
Betradar;
Visualization;
Integrity;
Monitoring;
Gaming;
Streaming;
2013;
St.Gallen;
Algorithm;
Mathematical Modeling;
Carsten Koerl;
Betandwin;
Bwin;
Wagering;
Probability;
Sports;
Data and Data Sets;
Mathematical Methods;
Games, Gaming, and Gambling;
Transition;
Strategy;
Media;
Sports Industry;
Technology Industry;
Information Technology Industry;
Media and Broadcasting Industry;
Europe;
Switzerland;
Asia;
Austria;
Germany;
England
- June 2018 (Revised January 2019)
- Background Note
Visualizing Data & Effective Communication
By: Srikant M. Datar and Caitlin N. Bowler
This note explores three specific ways an analyst can use visualization. Section 1 considers visualization to explore data. Section 2 discusses visualization as a tool for developing a deeper understanding of trends and phenomena encoded in the data. Section 3...
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- 2018
- Working Paper
Learning to Become a Taste Expert
By: Kathryn A. Latour and John A. Deighton
Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming an expert center on cultivating an analytic mindset. In the present research the authors...
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- May 2018
- Exercise
Data Visualization & Communication Exercise
By: Srikant M. Datar and Caitlin N. Bowler
This exercise uses the 1986 Challenger shuttle disaster to explore the relationship between data visualization, effective communication, and decision-making. Students review and analyze excerpts from the 13 charts engineers presented to NASA executives the night before...
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- Article
Why Every Organization Needs an Augmented Reality Strategy
By: Michael E. Porter and James E. Heppelmann
While the physical world is three-dimensional, most data is trapped on two-dimensional pages and screens. This gulf between the real and digital worlds prevents us from fully exploiting the volumes of information now available to us. Augmented reality (AR), a set of...
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- June 2017
- Article
Creating Reciprocal Value Through Operational Transparency
By: Ryan W. Buell, Tami Kim and Chia-Jung Tsay
We investigate whether organizations can create value by introducing visual transparency between consumers and producers. Although operational transparency has been shown to improve consumer perceptions of service value, existing theory posits that increased contact...
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- April 2017
- Case
Luminopia: Improving Treatment for Visual Disorders
By: Doug J. Chung and Sarah Mehta
Luminopia—a start-up founded in January 2016 by three Harvard College freshmen—uses virtual reality technology to treat amblyopia (more commonly called “lazy eye”), the single biggest cause of visual disorders among children. By February 2017, the three founders had...
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- 2016
- Book
Building a Culture of Health: A New Imperative for Business
By: John A. Quelch and Emily C. Boudreau
This ambitious volume sets out to understand how every company impacts public health and introduces a robust model, rooted in organizational and scientific knowledge, for companies committed to making positive contributions to health and wellness. Focusing on four...
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