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- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset...
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Keywords:
Sharing Economy;
Airbnb;
Property Demand;
Computer Vision;
Deep Learning;
Image Feature Extraction;
Content Engineering;
Property;
Marketing;
Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging...
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Keywords:
Influencer Advertising;
Video Advertising;
Computer Vision;
Machine Learning;
Advertising;
Online Technology
Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving...
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Keywords:
Autoencoder Networks;
Pattern Detection;
Subset Scanning;
Computer Vision;
Statistical Methods And Machine Learning;
Machine Learning;
Deep Learning;
Data Mining;
Big Data;
Large-scale Systems;
Mathematical Methods;
Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 2017
- Article
Computer Vision Uncovers Predictors of Physical Urban Change
By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and César A. Hidalgo
Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the physical appearance of five U.S....
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Keywords:
Urban Economics;
Gentrification;
Urban Studies;
Computer Vision;
Nieghborhood Effects;
Urban Development;
Situation or Environment;
Demographics;
Economics;
Change
Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and César A. Hidalgo. "Computer Vision Uncovers Predictors of Physical Urban Change." Proceedings of the National Academy of Sciences 114, no. 29 (July 18, 2017).
- 2015
- Working Paper
Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities
By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and Cesar Hidalgo
Urban change involves transformations in the physical appearance and the social composition of neighborhoods. Yet, the relationship between the physical and social components of urban change is not well understood due to the lack of comprehensive measures of...
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Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and Cesar Hidalgo. "Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities." Working Paper.
- Summer 2014
- Article
Taiwan's PC Industry, 1976–2010: The Evolution of Organizational Capabilities
By: Howard H. Yu and Willy C. Shih
The stellar growth of Taiwan's personal computer (PC) industry over the past three decades represents a paradox. Participating in the global production system, local firms in Taiwan grew in association with established firms in the West. Despite their technical...
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Keywords:
Personal Computer;
PC;
PC Industry;
Taiwan PC Industry;
Taiwan PC Manufacturers;
Innovation and Invention;
Innovation and Management;
Innovation Strategy;
Growth and Development;
Growth and Development Strategy;
Growth Management;
Industry Clusters;
Industry Growth;
Industry Structures;
Information Technology;
Technological Innovation;
Mobile Technology;
Information Technology Industry;
Taiwan
Yu, Howard H., and Willy C. Shih. "Taiwan's PC Industry, 1976–2010: The Evolution of Organizational Capabilities." Business History Review 88, no. 2 (Summer 2014): 329–357.
- 2011
- Teaching Note
UFIDA (B) (TN)
By: F. Warren McFarlan, Bin Yang and E. Chen
This case highlights the leadership, cultural and organizational structure dimensions of UFIDA. The case begins with Founder/Chairman Wang Wenjing's rags-to-riches story. Then UFIDA's senior and middle management of different backgrounds talk about their leader,...
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Keywords:
Computer Software;
Corporate Vision;
Emerging Markets;
Leadership;
Organizational Structure;
China;
Applications and Software;
China
McFarlan, F. Warren, Bin Yang, and E. Chen. "UFIDA (B) (TN)." Tsinghua University Teaching Note, 2011.
- January 2004
- Case
Nokia and MIT's Project Oxygen (Abridged)
By: David B. Yoffie and Rebecca Henderson
Looks at how Nokia should respond to a future vision of computing and communications that was developed at MIT's Project Oxygen.
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Keywords:
Mobile and Wireless Technology;
Adaptation;
Strategic Planning;
Telecommunications Industry;
Technology Industry
Yoffie, David B., and Rebecca Henderson. "Nokia and MIT's Project Oxygen (Abridged)." Harvard Business School Case 704-474, January 2004.
- December 1999
- Case
Sun Microsystems, Inc. (A2): Network Visions: Mike Clary on the Product that Hid in HR
By: Rosabeth M. Kanter and Jane Roessner
Chief scientist Bill Joy of Sun Microsystems, Inc. had a vision for a new product called "Jini": a network computing piece of infrastructure that would reinforce Sun's leadership role in the industry for helping define how the Internet and networking technology...
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- September 1994 (Revised September 1994)
- Case
Acer Group, The: Vision for the Year 2000
By: D. Quinn Mills and Richard C. Wei
In the early 1990s, Acer, Inc. set two goals: to be a top-five PC company worldwide in 1995 and to be a global consortium of companies by the year 2000. The company identified potential obstacles concerning capital, image, number of experienced international managers,...
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Keywords:
Mission and Purpose;
Goals and Objectives;
Management Analysis, Tools, and Techniques;
Organizational Structure;
Global Strategy;
Multinational Firms and Management;
Experience and Expertise;
Marketing Strategy;
Production;
Rank and Position;
Business Strategy;
Capital;
Computer Industry;
Japan
Mills, D. Quinn, and Richard C. Wei. "Acer Group, The: Vision for the Year 2000." Harvard Business School Case 495-001, September 1994. (Revised September 1994.)
- Forthcoming
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"...
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Keywords:
Freelancers;
Gig Workers;
Demographics;
Prejudice and Bias;
Selection and Staffing;
Jobs and Positions;
Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science (forthcoming). (Pre-published online December 29, 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.