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 a list of selected published and working papers. Kindly refer to CV for the detailed stage of the projects under review and a full list of ongoing projects. ^ indicates a supervised student or a student collaborator (MS/PhD level)
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Quantitative modeling of firm and user generated contents
"The Moral Significance of Aesthetic Quality in Nature Imagery"
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"
Kim, Eunsoo, MengQi (Annie) Ding^, Xin (Shane) Wang and Shijie Lu (2023) Journal of Marketing, 87 (3), 428-450
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"Be a Copycat or Be Original? Box Office Prediction Using a Self-supervised Multi-modal Pretraining"
Chao, Qin^, Eunsoo Kim and Boyang Li (under review)
“# Gifted: The Impact of Influencer Gifting Strategy in Influencer Marketing”
Wang, Ruoding^, Eunsoo Kim, Xinlong Li (under review)
“The Body Speaks: The Effects of Machine-Extracted Body Pose in Image Contents”
Lee, Yeonsoo^, Eunsoo Kim, Hye-jin Kim (working paper)
Chao, Qin^, Eunsoo Kim and Boyang Li (under review)
“# Gifted: The Impact of Influencer Gifting Strategy in Influencer Marketing”
Wang, Ruoding^, Eunsoo Kim, Xinlong Li (under review)
“The Body Speaks: The Effects of Machine-Extracted Body Pose in Image Contents”
Lee, Yeonsoo^, Eunsoo Kim, Hye-jin Kim (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, Sadat Reza (under review)
"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"
- with Puneet Manchanda (working paper, University of Michigan)
Xie, Peiwen^, Eunsoo Kim, Shun Yin Lam, Sadat Reza (under review)
"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"
- with Puneet Manchanda (working paper, University of Michigan)
"How Shared Consumption Enhances Entertainment Experiences"
- with Anocha Aribarg & Natasha Zhang Foutz
- Featured in Marketing Science Institute ( MSI ) Working Paper Series, Report No. 16 - 126
- with Anocha Aribarg & Natasha Zhang Foutz
- Featured in Marketing Science Institute ( MSI ) Working Paper Series, Report No. 16 - 126