Eunsoo Kim
  • ABOUT ME
    • Contact
  • CV
  • Education
  • Research
  • Teaching
  • Media
  • AWARDS
  • ABOUT ME
    • Contact
  • CV
  • Education
  • Research
  • Teaching
  • Media
  • AWARDS

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

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Ph.D. Office during Michigan years
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)

Quantitative modeling of firm and user generated contents

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"The Moral Significance of Aesthetic Quality in Nature Imagery"
Kim, Eunsoo, Julia Lee Cunningham and Anocha Aribarg (2022)
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Psychological Science, 33 (9), 1372-1385     ​
  • Nominated and covered in the university-wide NTU research magazine, Pushing Frontiers, Issue 22 (p. 7, Discoveries section) - “AI and Marketing: People Care When Faced With Nature's Beauty”
  • Using deep learning and experimental studies, we show the causal effect of visual aesthetics on social media engagement and moral concern, which is explained by self-transcendent emotions (awe and inspiration) and purity associated with an image.
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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
  • ​​Covered in NTU/NBS Newsletters: Thought Leadership & NBS Highlights
  • This research shows the topic consistency, or the degree of content overlap between critic and user review content, increases movie demand, and suggest a potential mechanism through increased memorability.
"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)

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" 
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Kim, Eunsoo, Puneet Manchanda and Xu Zhang  (working paper, University of Michigan) 
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"The Impact of Network and Spatial Embeddedness on Salespeople Inactivity in Direct Selling Organizations" 
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- 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
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