Research Interests
Quantitative modeling of social influence and shared consumption, Firm and user generated contents, Bayesian statistical inference, Machine learning, Business networks, Entertainment industry
Research
Ph.D. Office during Michigan years
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The two main research streams that I am broadly interested in are (1) Quantitative modeling of firm- and user-generated contents and (2) Quantitative modeling of social influence in business and consumer settings. I use a wide range of quantitative/qualitative methods for my research, including image processing, deep learning, running experiments and collecting physiological measures.
Please see below for the latest list of published and working papers. Last update: June 2024 ^ : a supervised student or a student collaborator (MS/PhD level); * : equal contribution |
Quantitative modeling of firm and user generated contents
"The Moral Significance of Aesthetic Quality in Nature Imagery" [Link]
Kim, Eunsoo, Julia Lee Cunningham and Anocha Aribarg (2022) Psychological Science, 33 (9), 1372-1385
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"Does Topic Consistency Matter? A Study of Critic and User Reviews in the Movie Industry" [Link]
Kim, Eunsoo, MengQi (Annie) Ding^, Xin (Shane) Wang and Shijie Lu (2023) Journal of Marketing, 87 (3), 428-450
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“Movie Box-Office Prediction Using a Self-Supervised Learning Transformer Encoder" [Link]
Chao, Qin^, Eunsoo Kim and Boyang Li (2023), Proceedings of IEEE ICME, 1535-1540
“# Gifted: The Impact of Influencer Gifting Strategy in Influencer Marketing”
Wang, Ruoding^, Eunsoo Kim and Xinlong Li (revise and resubmit)
“The Body Speaks: The Effects of Machine-Extracted Body Pose in Image Contents”
Lee, Yeonsoo^*, Eunsoo Kim* and Hye-jin Kim* (revise and resubmit)
"Copycat vs. Original: Multi-modal Pretraining and Variable Importance in Box Office Prediction"
Chao, Qin^, Eunsoo Kim and Boyang Li (working paper)
Chao, Qin^, Eunsoo Kim and Boyang Li (2023), Proceedings of IEEE ICME, 1535-1540
“# Gifted: The Impact of Influencer Gifting Strategy in Influencer Marketing”
Wang, Ruoding^, Eunsoo Kim and Xinlong Li (revise and resubmit)
“The Body Speaks: The Effects of Machine-Extracted Body Pose in Image Contents”
Lee, Yeonsoo^*, Eunsoo Kim* and Hye-jin Kim* (revise and resubmit)
"Copycat vs. Original: Multi-modal Pretraining and Variable Importance in Box Office Prediction"
Chao, Qin^, Eunsoo Kim and Boyang Li (working paper)
Quantitative modeling of social influence
"Herding in NFT Auction: The Role of Visual Complexity and Familiarity"
Xie, Peiwen^, Eunsoo Kim, Shun Yin Lam and Sadat Reza (revise and resubmit)
"Avatar Humanness and Psychological Closeness in Virtual Reality"
Chae, Rebecca*, Hyojin Lee* and Eunsoo Kim (revise and resubmit)
"Personal versus Business Factors in Network Formation: An Empirical Analysis of the Network Marketing Industry"
Kim, Eunsoo, Puneet Manchanda and Xu Zhang (working paper, University of Michigan)
"The Impact of Network and Spatial Embeddedness on Salespeople Inactivity in Direct Selling Organizations"
Kim, Eunsoo, Puneet Manchanda (working paper, University of Michigan)
Xie, Peiwen^, Eunsoo Kim, Shun Yin Lam and Sadat Reza (revise and resubmit)
"Avatar Humanness and Psychological Closeness in Virtual Reality"
Chae, Rebecca*, Hyojin Lee* and Eunsoo Kim (revise and resubmit)
"Personal versus Business Factors in Network Formation: An Empirical Analysis of the Network Marketing Industry"
Kim, Eunsoo, Puneet Manchanda and Xu Zhang (working paper, University of Michigan)
"The Impact of Network and Spatial Embeddedness on Salespeople Inactivity in Direct Selling Organizations"
Kim, Eunsoo, Puneet Manchanda (working paper, University of Michigan)
"How Shared Consumption Enhances Entertainment Experiences"
Kim, Eunsoo, Anocha Aribarg and Natasha Zhang Foutz
- Featured in Marketing Science Institute ( MSI ) Working Paper Series, Report No. 16 - 126
Kim, Eunsoo, Anocha Aribarg and Natasha Zhang Foutz
- Featured in Marketing Science Institute ( MSI ) Working Paper Series, Report No. 16 - 126