Saturday |
7:30 to 8:30 |
Breakfast & Registration |
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Deep Learning Applications |
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8:30 to 9:45 |
Johnson, Ogihara, Ren, Lee |
A Deep Neural Network System for the Analysis and Prediction of Ad Effectiveness |
Miami |
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Kim, Kim, Joo, Che |
A Hybrid Approach to Counterfactual Demand Predictions Using Deep Learning |
UC Riverside |
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Rubera, Grossetti, Cillo |
A better picture: how computer vision can help market segmentation |
Bocconi |
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Rubera, Grossetti, Cillo |
A better picture: how computer vision can help market segmentation |
Bocconi |
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Zhang, Luo |
Can User-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp |
USC |
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9:45 to 10:00 |
Break |
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AI Applications |
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10:00 to 11:40 |
Munoko, Cho, Brown-Liburd |
Reading between the lines: An ensemble machine learning approach to fraud detection |
Rutgers |
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Bowers, Parris |
Delivering on the Promises of AI Driven Personalization |
Oklahama |
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Park, Puranam |
Valence and certainty on perceived helpfulness: Interpretable deep learning on consumer reviews |
USC |
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Alantari, Deng, Currim, Singh |
Comparison of Models for Automated Text-based Sentiment Analysis of Online Consumer Reviews |
UC Ivine |
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Bellet, Borah, Dubois |
When Veblen Meets Big Data: A Search-Based Index of Brand Conspicuous Value |
Insead |
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11:40 to 12:00 |
Break |
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AI in Innovation |
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12:00 to 1:15 |
Miric, Jia, Huang |
Comparing Machine Learning and Keyword Methods for Classification in Management Research: Patents |
USC |
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Chen, Liu, Proserpio, Troncoso |
Product2Vec: Understanding Product-Level Competition Using Representation Learning |
USC |
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Novak, Hoffman |
Reifying Space of Personal Automation Practices: An Empirical Approach Grounded in Assemblage Theory |
George Washington |
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Teodoridis, Lu, Furman |
Measuring Changes in the Direction of Innovation: A Machine Learning Approach |
USC |
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1:15 to 2:15 |
Lunch |
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AI in Creativity |
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2:15 to 3:30 |
Hong, Wei, Tellis |
Does the Similarity Pattern among Crowdfunding Projects Help Design a Winning Project |
USC |
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Bell, Pescher, Tellis, Füller |
Can AI Do Ideation? Testing Alternate Algorithms for Idea Screening in Crowdsourcing Contests |
Oxford |
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Chaudhry, Wang |
How trailer design elements predict box office performance |
Temple |
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Burnap, Hauser |
Identifying “Design Gaps” in Market: Demand Models over Data-Driven Feasible Design Spaces |
MIT |
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3:30 to 3:45 |
Break |
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AI Adoption |
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3:45 to 4:45 |
Jia, Luo, Fang, Xu |
Can AI Substitute or Complement Managers? Outcomes for Transformational and Transactional Managers |
USC |
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Clegg, Hofstetter, de Bellis, Schmitt |
Perceptions of AI: How Disclosing Algorithm Type Can Shape Users’ Adoption of New Technologies |
Lucerne |
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Blanas |
Distinct Effects of Information and Communication Technologies on the Age-Skill Composition of Labour |
Bank of Belgium |
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4:45 to 7:00 |
Reception |
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