Chang‐duk Kong, Ja‐young Ki, Myoung‐cheol Kang and Seong‐hee Kho
In this study, in order to facilitate application of the NNs as well as to provide user‐friendly conditions, a performance diagnostic computer code using MATLAB® was newly…
Abstract
In this study, in order to facilitate application of the NNs as well as to provide user‐friendly conditions, a performance diagnostic computer code using MATLAB® was newly proposed. As a result, not only more precise and prompt analysis results can be obtained due to use of the toolbox in MATLAB® on diagnosis and numerical analysis, but also the graphical user interface platform can be realized. The proposed engine diagnostics system is able to train the BPN with each fault pattern and then construct the total training network by assembling the trained BPNs. The database for network learning and test was constructed using a gas turbine performance simulation program. In order to investigate reliability on construction of the database for diagnostic results, an analysis is performed with five combination cases of 40 fault patterns. Finally, a diagnostic application example for the PT6A‐62 turboprop engine is performed using the trained network with the database, which represents the best diagnostic results among test sets.
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Ja Young (Jacey) Choe, Emmanuel Kwame Opoku, Javier Calero Cuervo and Raymond Adongo
This study profiles and segments potential tourists on the basis of their various attitudes toward artificial intelligence (AI) services. Furthermore, this study distinguishes…
Abstract
Purpose
This study profiles and segments potential tourists on the basis of their various attitudes toward artificial intelligence (AI) services. Furthermore, this study distinguishes descriptors among the different clusters, such as preference for using diverse AI services, overall image of AI services, willingness to use AI services (WUAI), willingness to pay more for AI services (WPAI) in tourism and hospitality, and characteristics of respondents.
Design/methodology/approach
An online survey was conducted in South Korea. Data on 758 potential tourists were used for K-means cluster analysis.
Findings
This study identified three distinct tourist segments with differentiated attitudes toward AI services: the group aspiring to use or fantasizing about AI services (Cluster 1), the group being knowledgeable and supportive of AI services (Cluster 2), and the group having low interest about AI services (Cluster 3).
Practical implications
Members of Cluster 2 were the most marketable as this segment exhibited the greatest knowledge of and support for AI services, while Cluster 1 would be an ideal segment to launch and test novel AI services.
Originality/value
This study extends the authors’ knowledge of AI scholarship by unpacking the existing market segments, which could be tapped to sustain AI penetration in the tourism industry. Hence, this study contributes to existing debates on AI scholarship, which is predominated by conceptual reflections and issues of AI services in the tourism and hospitality field.
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Seongseop (Sam) Kim, Ja Young Choe and Aejoo Lee
This paper aims to gain insight into the preferences of US customers regarding Korean food, and to categorize these customers according to the reasons for their preferences.
Abstract
Purpose
This paper aims to gain insight into the preferences of US customers regarding Korean food, and to categorize these customers according to the reasons for their preferences.
Design/methodology/approach
The study was conducted with a sample of customers in Korean restaurants in the USA.
Findings
Cluster 1 was a group whose members were attracted to Korean culture; Cluster 2 was a group whose members were passionate about Korean food; Cluster 3 was a group seeking healthy and exotic food; and Cluster 4 was a low-interest group. Each cluster had a different socio-demographic profile, favored a different Korean menu, identified different success factors for Korean restaurants, described different expectations and experiences of Korean restaurants and had different preferences regarding Korean food services.
Practical implications
Active promotion of Korean food and Korean culture may be appropriate for Cluster 1, while developing a healthy and exotic menu may attract Cluster 3. Maintaining Cluster 2 is deemed important, while a strategic approach is necessary to appeal to Cluster 4.
Originality/value
This study will contribute theoretically and practically to understanding food globalization, ethnic restaurants and segmentation by preference reasons.
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Ja Young (Jacey) Choe, Jinkyung Jenny Kim and Jinsoo Hwang
This study aims to examine diners’ behavioral intention to visit an edible insect restaurant, which is known to play an important role in sustainability, by integrating the theory…
Abstract
Purpose
This study aims to examine diners’ behavioral intention to visit an edible insect restaurant, which is known to play an important role in sustainability, by integrating the theory of planned behavior and the norm activation theory.
Design/methodology/approach
A total of 439 samples were collected in South Korea. Structural equation modeling was used to test hypotheses.
Findings
The attitudes were influenced by subjective norms. Intentions were affected by the attitudes, the subjective norms and the perceived behavioral control. In addition, the five dimensions of cognitive triggers, which include environmental awareness, ascribed responsibility, biospheric value, environmental concern and perceived effectiveness, positively affected personal norms, and the personal norms positively influenced behavioral intentions.
Practical implications
It is an important practical implication of this study that tourism practitioners were delivered with the knowledge of establishing marketing strategies based on the destination’s green image of insect restaurants.
Originality/value
This study is expected to contribute to the extant knowledge, which will enable an understanding of the sustainability values of edible insect restaurants, and it will guide tourism practitioners to establish effective sustainable practices for the tourism industry.
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Ja Young (Jacey) Choe, Jinkyung Jenny Kim and Jinsoo Hwang
The purpose of this study was to explore if five subdimensions of perceived risk (financial, time, privacy, performance and psychological risks) negatively affects image. In…
Abstract
Purpose
The purpose of this study was to explore if five subdimensions of perceived risk (financial, time, privacy, performance and psychological risks) negatively affects image. In addition, this study aims to investigate if image has a positive effect on intentions to use. Lastly, the purpose of this study was to examine the moderating effect of Coronavirus disease-2019 (COVID-19), before and after the outbreak, in the relationship between perceived risk and image.
Design/methodology/approach
Data were collected from 331 people before the COVID-19 outbreak and 343 people after the COVID-19 outbreak. To test hypotheses, this study used structural equation modeling.
Findings
Time, performance and psychological risks negatively affected image before the outbreak of COVID-19. Meanwhile, performance risks and psychological risks had a negative influence on image only after the outbreak of COVID-19. In addition, there was demonstrated to be a positive relationship between image and intentions to use, both before and after the COVID-19 outbreak. Finally, the outbreak of COVID-19 positively moderates the relationship between performance risk and image.
Practical implications
The current study provides the following practical implications. First, industry practitioners need to develop a performance guarantee system which enhances the quality assurance of drone food delivery services (DFDS). Second, live streaming or creative activities would help to visualize DFDS in a way that stresses the stable operation of these services.
Originality/value
The importance of contactless services has been emphasized ever since the beginning of the COVID-19 outbreak. However, there has been very little research on the future of contactless services after COVID-19. This study investigated the perceived risk from DFDS as a form of contactless service which has not been conducted before. The findings of this study will improve the understanding of the changes that have occurred in consumers’ perception of risk from DFDS during the COVID-19 pandemic.