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- May–June 2023
- Article
Unmasking Behaviors During the Pandemic 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 viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors....
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Zhang, Shunyuan, Kaiquan Xu, and Kannan Srinivasan. "Unmasking Behaviors During the Pandemic with Video Analytics." Marketing Science 42, no. 3 (May–June 2023): 440–450.
- 2022
- Working Paper
Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers
By: Magie Cheng and Shunyuan Zhang
The growth of the influencer marketing industry warrants an empirical examination of the effect of posting sponsored videos on an influencer’s reputation. We collect a novel dataset of user-generated YouTube videos created by prominent English-speaking influencers in...
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Keywords:
Influencer Marketing;
Social Influencers;
Brand;
Sponsorship;
Video Analytics;
Marketing;
Brands and Branding;
Media;
Reputation
Cheng, Magie, and Shunyuan Zhang. "Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers." Harvard Business School Working Paper, No. 22-067, April 2022.
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the...
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- March 2017 (Revised November 2017)
- Case
BlackRock (A): Selling the Systems? (with video links)
By: Ranjay Gulati, Jan W. Rivkin and Kelly McNamara
As the case opens in 1999, several key leaders at BlackRock, Inc., then a relatively small asset management firm, are trying to convince CEO Larry Fink and others that the firm should begin to offer Aladdin—its proprietary analytics and trading platform—to other asset...
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Keywords:
Strategy;
Competition;
Information Technology;
Asset Management;
Competitive Strategy;
Financial Services Industry;
United States
Gulati, Ranjay, Jan W. Rivkin, and Kelly McNamara. "BlackRock (A): Selling the Systems? (with video links)." Harvard Business School Multimedia/Video Case 717-484, March 2017. (Revised November 2017.)
- February 2021
- Tutorial
Getting Started in RStudio Cloud
By: Chiara Farronato and Caleb Kwon
This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and...
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- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with...
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- March 2019 (Revised July 2020)
- Case
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel W. Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses...
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Keywords:
Market Entry;
Growth Strategy;
Profit Vs. Growth;
Subscription Business;
Cash Burn;
Data Analytics;
Get-big-fast;
Buyer Power;
Strategy Implementation;
Movie Industry;
Racing;
Entrepreneurship;
Market Entry and Exit;
Growth and Development Strategy;
Business Strategy;
Value Creation;
Disruption;
Motion Pictures and Video Industry;
United States
Esty, Benjamin C., and Daniel W. Fisher. "MoviePass: The 'Get Big Fast' Strategy." Harvard Business School Case 719-455, March 2019. (Revised July 2020.)
- January 2020 (Revised July 2020)
- Supplement
MoviePass: The 'Get Big Fast' Strategy
By: Benjamin C. Esty and Daniel Fisher
In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams form related businesses...
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Keywords:
Market Entry;
Growth Strategy;
Profit Vs. Growth;
Subscription Business;
Cash Burn;
Data Analytics;
Get-big-fast;
Buyer Power;
Strategy Implementation;
Movie Industry;
Racing;
Business Strategy;
Value Creation;
Consolidation;
Cash Flow;
Growth Management;
Business Startups;
Entrepreneurship;
Disruptive Innovation;
Mobile Technology;
Motion Pictures and Video Industry;
Motion Pictures and Video Industry;
Motion Pictures and Video Industry;
Motion Pictures and Video Industry;
United States
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee...
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Keywords:
Strategy Execution;
Performance Measurement;
Critical Performance Variables;
Strategic Boundaries;
Internet Of Things;
Artificial Intelligence;
Software Development;
Big Data;
Machine Learning;
Business Startups;
Management Style;
Business Strategy;
Performance;
Measurement and Metrics;
Organizational Culture;
AI and Machine Learning;
Digital Transformation;
Applications and Software;
Digital Marketing;
Analytics and Data Science;
Technology Industry;
United States;
California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
- May 2016 (Revised April 2019)
- Case
Legendary Entertainment: Moneyball for Motion Pictures
By: John A. Deighton and Leora Kornfeld
Legendary, the Hollywood studio responsible for such hits as Jurassic World and The Dark Knight, decides to take the marketing of its films in-house, and to market them fan-by-fan. Owner Thomas Tull acquires the big-data-in-sports firm started by Matt Marolda and...
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Keywords:
"Marketing Analytics";
Marketing Strategy;
Decision Making;
Motion Pictures and Video Industry;
Motion Pictures and Video Industry
Deighton, John A., and Leora Kornfeld. "Legendary Entertainment: Moneyball for Motion Pictures." Harvard Business School Case 516-117, May 2016. (Revised April 2019.)
- 19 Sep 2006
- First Look
First Look: September 19, 2006
Working PapersSuperstars and Underdogs: An Examination of the Long Tail Phenomenon in Video Authors:Anita Elberse and Felix Oberholzer-Gee Abstract The rise of online channels facilitates the distribution of a wide range of products and...
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Keywords:
Sean Silverthorne
- 12 Oct 2011
- Research & Ideas
Creating Online Ads We Want to Watch
marketers, who spent $1.42 billion on online video advertising last year in the United States, an investment expected to jump 52 percent to $2.16 billion in 2011, according to analytics firm eMarketer....
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- March 2019 (Revised March 2020)
- Case
Choosing the Right Esports Business Model
By: David Collis and Alexander MacKay
Two esports entrepreneurs must choose on which business model to focus their time and money. After successfully launching an online esports coaching platform, a number of new opportunities emerge in the rapidly growing esports space that now has close to one billion...
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Keywords:
Entrepreneurial Ecosystems;
Business Development;
Esports;
Business Ventures;
Entrepreneurship;
Business Model;
Management;
Strategy;
Sports;
Video Game Industry;
Video Game Industry;
Video Game Industry;
Video Game Industry;
Video Game Industry;
North and Central America;
Europe;
Asia
Collis, David, and Alexander MacKay. "Choosing the Right Esports Business Model." Harvard Business School Case 719-459, March 2019. (Revised March 2020.)
- 16 Nov 2010
- First Look
First Look: November 16, 2010
be avoided by using a more deliberative, analytical decision-making process. In this paper, we describe joint evaluation as an effective tool to help decision makers manage their emotional assessments of morality. Bounded Ethicality in...
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Keywords:
Sean Silverthorne
- 26 Jun 2018
- First Look
New Research and Ideas, June 26, 2018
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 the benefit to enthusiasts of moving...
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Keywords:
Dina Gerdeman
- 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;
Analytics and Data Science;
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
Casadesus-Masanell, Ramon, Karen Elterman, and Oliver Gassmann. "Sportradar (A): From Data to Storytelling." Harvard Business School Case 719-429, November 2018.
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural...
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- 15 Nov 2011
- First Look
First Look: November 15
organizational decision-making forums. Based on the ability to combine and balance these two processes, we distinguish analytically among four positions of influence that experts can occupy-box-tickers, disconnected technicians, ad hoc...
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Keywords:
Sean Silverthorne
- 2009
- Case
What People Want (and How to Predict It)
By: Thomas H. Davenport and Jeanne G. Harris
Historically, neither the creators nor the distributors of cultural products such as books or movies have used analytics -- data, statistics, predictive modeling -- to determine the likely success of their offerings. Instead, companies relied on the brilliance of...
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Keywords:
Product Development;
Creativity;
Customer Satisfaction;
Forecasting and Prediction;
Markets;
Business Model;
Motion Pictures and Video Industry;
Motion Pictures and Video Industry
Davenport, Thomas H., and Jeanne G. Harris. "What People Want (and How to Predict It)." 2009.
- 31 Jan 2022
- Research & Ideas
Where Can Digital Transformation Take You? Insights from 1,700 Leaders
customer-company interactions, even in business-to-business industries, to be as fast and intuitive as tapping out a text or playing a video game. Not only must a company offer high-quality products or services, but the way they deliver...
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