Sumin Helen Koo
Biographic Data
| ID | 4086330 |
|---|---|
| NAME | Sumin Helen Koo |
| GIVEN NAMES | Sumin Helen |
| FAMILY NAME | Koo |
| SIGNATURE | KOO S H |
| AFFILIATIONS | Konkuk University |
| ORCID | 0000-0002-0333-0190 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Artificial intelligence‐powered chatbots in the fashion sector
This study employed the Affect–Behavior–Cognition model of attitudes to examine the influence of 471 social media users' hedonic shopping motivations on their cognitive and behavioral responses toward AI chatbots in the fashion sector, considering the moderating effect of omni‐channel shopping tendencies. Structural equation modeling was employed for data analysis. This study found that cognitive responses (social and therapeutic shopping motivat…
Consumer Differences in the United States and India on Wearable Trackers
The purpose of this research was to compare consumers in the United States and India with different demographic backgrounds and to investigate their preferences, perceptions, attitudes, and behavioral intentions toward wearable trackers. An online survey was conducted and a series of independent t‐tests, Welch's analysis of variance, and Duncan's post hoc test were performed to investigate differences among groups. Simple and multiple linear regr…
Consumer Differences in the United States and India on Wearable Trackers
The purpose of this research was to compare consumers in the United States and India with different demographic backgrounds and to investigate their preferences, perceptions, attitudes, and behavioral intentions toward wearable trackers. An online survey was conducted and a series of independent t‐tests, Welch's analysis of variance, and Duncan's post hoc test were performed to investigate differences among groups. Simple and multiple linear regr…
Consumer Differences in the United States and India on Wearable Trackers
The purpose of this research was to compare consumers in the United States and India with different demographic backgrounds and to investigate their preferences, perceptions, attitudes, and behavioral intentions toward wearable trackers. An online survey was conducted and a series of independent t‐tests, Welch's analysis of variance, and Duncan's post hoc test were performed to investigate differences among groups. Simple and multiple linear regr…
Artificial intelligence‐powered chatbots in the fashion sector
This study employed the Affect–Behavior–Cognition model of attitudes to examine the influence of 471 social media users' hedonic shopping motivations on their cognitive and behavioral responses toward AI chatbots in the fashion sector, considering the moderating effect of omni‐channel shopping tendencies. Structural equation modeling was employed for data analysis. This study found that cognitive responses (social and therapeutic shopping motivat…
Advertising (2 works) · Business (2 works) · Computer Science (2 works) · Consumer Retail Behavior Studies (2 works) · Digital Marketing and Social Media (2 works) · Psychology (2 works) · Social Psychology (2 works) · Activity tracker (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work)