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Junehee Kwon

Biographic Data

ID3917666
NAMEJunehee Kwon
GIVEN NAMESJunehee
FAMILY NAMEKwon
SIGNATUREKWON J
AFFILIATIONSKansas State University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2021
H-INDEX1
  • What Are the Salient and Memorable Green-Restaurant Attributes? Capturing Customer Perceptions From User-Generated Content

    Open Access•Eunhye Park, Junehee Kwon et al.•ARTICLE•SAGE Open•2021

    This study aims to survey user-generated content (UGC) from diners in certified green restaurants, discover the green images they recall, and demonstrate the usefulness of applying a probabilistic topic model to comprehend customers’ perceptions. Postvisit online reviews ( N = 28,098), in the form of unstructured texts from the TripAdvisor.com website, were used to find freely recalled green-restaurant images. These data were preprocessed with a …

  • Evaluation of the Nutrition Knowledge, Attitudes, and Food Consumption Behaviors of High School Students Before and After Completion of a Nutrition Course

    Open Access•Lauren Crawford Watson, Junehee Kwon et al.•ARTICLE•Family and Consumer Sciences…•2009•Cited by: 2•References: 18

    Adolescents may lower their risk of becoming overweight and lead a healthier lifestyle by improving their nutrition knowledge and attitudes towards nutrition and health. A quasi‐experimental design was used to assess nutrition knowledge, attitudes, and food consumption behaviors of students 14 to 19 years old before and after a nutrition course in a North Texas high school. The intervention group (n = 45) was enrolled in elective family and consu…

  • Evaluation of the Nutrition Knowledge, Attitudes, and Food Consumption Behaviors of High School Students Before and After Completion of a Nutrition Course

    Open Access•Lauren Crawford Watson, Junehee Kwon et al.•ARTICLE•Family and Consumer Sciences…•2009•Cited by: 2•References: 18

    Adolescents may lower their risk of becoming overweight and lead a healthier lifestyle by improving their nutrition knowledge and attitudes towards nutrition and health. A quasi‐experimental design was used to assess nutrition knowledge, attitudes, and food consumption behaviors of students 14 to 19 years old before and after a nutrition course in a North Texas high school. The intervention group (n = 45) was enrolled in elective family and consu…

  • Evaluation of the Nutrition Knowledge, Attitudes, and Food Consumption Behaviors of High School Students Before and After Completion of a Nutrition Course

    Open Access•Lauren Crawford Watson, Junehee Kwon et al.•ARTICLE•Family and Consumer Sciences…•2009•Cited by: 2•References: 18

    Adolescents may lower their risk of becoming overweight and lead a healthier lifestyle by improving their nutrition knowledge and attitudes towards nutrition and health. A quasi‐experimental design was used to assess nutrition knowledge, attitudes, and food consumption behaviors of students 14 to 19 years old before and after a nutrition course in a North Texas high school. The intervention group (n = 45) was enrolled in elective family and consu…

  • What Are the Salient and Memorable Green-Restaurant Attributes? Capturing Customer Perceptions From User-Generated Content

    Open Access•Eunhye Park, Junehee Kwon et al.•ARTICLE•SAGE Open•2021

    This study aims to survey user-generated content (UGC) from diners in certified green restaurants, discover the green images they recall, and demonstrate the usefulness of applying a probabilistic topic model to comprehend customers’ perceptions. Postvisit online reviews ( N = 28,098), in the form of unstructured texts from the TripAdvisor.com website, were used to find freely recalled green-restaurant images. These data were preprocessed with a …

Psychology (2 works) · Artificial Intelligence (1 work) · Cognitive psychology (1 work) · Computer Science (1 work) · Consumer Behavior in Brand Consumption and Identification (1 work) · Content analysis (1 work) · Culinary Culture and Tourism (1 work) · Data science (1 work) · Descriptive statistics (1 work) · Environmental health (1 work)

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