J
Jihyun Kim
Researcher at Kent State University
Publications - 75
Citations - 2887
Jihyun Kim is an academic researcher from Kent State University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 18, co-authored 36 publications receiving 2525 citations. Previous affiliations of Jihyun Kim include Virginia Tech.
Papers
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For fun and profit: Hedonic value from image interactivity and responses toward an online store
TL;DR: In this article, a path-analysis model revealed significant paths between hedonic value and resulting emotional pleasure and arousal variables, and a pattern of significant paths was also found between these three variables and global attitude, willingness to purchase, and willingness to patronize the on-line store.
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Effect of image interactivity technology on consumer responses toward the online retailer
TL;DR: In this article, the authors empirically examined whether image interactivity technology (IIT), which enables the creation and manipulation of product images on a retailer's Web site, affects experiential value and instrumental value.
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Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer☆
TL;DR: In this paper, the influence of level of image interactivity on consumer perception of online retail environment, shopping enjoyment, shopping involvement, a desire to stay, and patronage intention was examined.
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An integrative framework capturing experiential and utilitarian shopping experience
Ann Marie Fiore,Jihyun Kim +1 more
TL;DR: In this article, the authors propose a framework that integrates components of both the hedonic experience related consciousness-emotion value model and the utilitarian experience-related cognition-affect-behavior model.
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The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses
TL;DR: In this paper, the authors focus on image interactivity technology (IIT) of a web site and apply the technology acceptance model (TAM) to examine factors influencing consumers' attitude toward an online retailer.