• 한국조리학회지
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• 제23권6호
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• pp.1-11
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• 2017

The purpose of this study was to compare the cruise tours between China and U.S.A. through the semantic network analysis of big data by collecting online data with SCTM (Smart crawling & Text mining), a data collecting and processing program. The data analysis period was from January $1^{st}$, 2015 to August $15^{th}$, 2017, meanwhile, "cruise tour, china", "cruise tour, usa" were conducted to be as keywords to collet related data and packaged Netdraw along with UCINET 6.0 were utilized for data analysis. Currently, Chinese cruisers concern on the cruising destinations while American cruisers pay more attention on the onboard experience and cruising expenditure. After performing CONCOR (convergence of iterated correlation) analysis, for Chinese cruise tour, there were three clusters created with domestic destinations, international destinations and hospitality tourism. As for American cruise tour, four groups have been segmented with cruise expenditure, onboard experience, cruise brand and destinations. Since the cruise tourism of America was greatly developed, this study also was supposed to provide significant and social network-oriented suggestions for Chinese cruise tourism.

• 한국조리학회지
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• 제23권1호
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• pp.48-57
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• 2017

With the increasing popularity of mobile commerce, restaurant service has become one of the leading service categories. Thus, this study attempted to understand the shopping behavior of restaurant mobile consumers by focusing on their shopping orientations. Specifically, this study investigated the structural relationships among shopping orientations, perceived value, concentration, and purchase intention in restaurant mobile commerce. Data analysis employing a structural equation approach was carried out for this study. Results revealed that, first, a consumer's shopping orientations was found to have a positive influence on perceived value, with time/convenience orientation possessing a stronger influence on perceived value than other factors (economic and hedonic). Second, a consumer's perceived value was found to affect concentration and purchase intention. Third, a consumer's concentration also appeared to influence purchase intention.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.291-300
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• 2020

This paper studies the factors affecting university and industry collaboration in education in the hospitality industry in Ho Chi Minh City (Vietnam) from a company perspective. The authors use qualitative method and quantitative research to study the matters, specifically using scales and data collected for Cronbach alpha reliability testing, analysizing the discovery factor of EFA, CFA and verifying the regression models through AMOS software with SEM linear modeling. The study proposes four factors: (1) organization factors, (2) contextual factors, (3) process factors, and (4) cooperation perspective impacting on the benefits factors and university and industry collaboration in education. In addition, it is also found that benefits factors has a direct and positive impact on the collaboration in education. The results suggest that the process factor had the strongest positive, followed by the contextual factor. The findings revealed that the benefit factors were significantly related to collaboration in education, which affects university and industry hospitality alliances. This finding confirm that the cooperation perspective (QD) and contextual factors (HC) are critical in collaboration between university and industry. A new point of interest is also identified that the benefits of training links are quite dependent on the linking perspective from tourism businesses.

• Journal of Smart Tourism
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• 제2권1호
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• pp.21-31
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• 2022

This review paper aims at providing a systematic analysis of articles published in various journals and related to the uses and business applications of big data. The goal is to provide a holistic picture of the place of big data in the tourism industry. The reviewed articles have been selected for the period 2013-2020 and have been classified into 8 broad categories namely business strategy and firm performance; banking and finance; healthcare; hospitality; networks and telecommunications; urbanism and infrastructures; law and legal regulations; and government. While the categories are reflective of components of tourism industries and infrastructures, the meta-analysis is organized around 3 broad themes: preferred research contexts, conceptual developments, and methods used to research big data business applications. Main findings revealed that firm performance and healthcare remain popular contexts of research in the big data realm, but also demonstrated a prominence of qualitative methods over mixed and quantitative methods for the period 2013-2020. Scholars have also investigated topics involving the notions of competitive advantage, supply chain management, smart cities, but also ethics and privacy issues as related to the use of big data.

• Journal of Smart Tourism
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• 제3권3호
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• pp.29-40
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• 2023

This research aims to understand the role of online reviews in the local search context by examining the effects of reviews on the representation of tourism businesses on local search platforms (LSPs). By simulating tourists' local searches for restaurants on three LSPs, namely Google, Bing, and Yelp, this study examines how different ranking results are generated across the platforms and how online reviews contribute to the differences. The findings suggest that online reviews are incorporated into LSPs as ranking factors and, thus, affect tourists' decision-making by influencing the information search results in the local search context. As one of the earliest studies on local search, this study discusses how the existing knowledge about the role of online reviews in tourists' decision-making needs to be reevaluated in mobile and more dynamic environments, and offers practical implications for tourism businesses' search engine marketing.

• 한국조리학회지
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• 제23권4호
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• pp.216-224
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• 2017

The purpose of this study was to analyze the job satisfaction, turnover intention and organization commitment level of hotel employees using Herzberg's motivation hygiene theory. This study used SPSS 20.0 and AMOS 20.0 to conduct frequency analysis, reliability analysis, confirmatory factor analysis, path analysis and chi-square difference test. The results of study, first of all, Herzberg's, theory of hygiene are influenced by satisfaction of employees, organization commitment and turnover intention. It will be strongly needed to management of compensation, well-organized policy of human resources system. Lastly, in Hotel business, It showed differences having a strong influence on local employee and chain hotel employee according to method of Hotel management. In conclusion, in the hospitality industry, it is desirable to carry out on their own ways of vision and purpose each corporations rather than following regimental rules.

• 한국조리학회지
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• 제22권6호
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• pp.145-150
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• 2016

The Malaysian hotel industry is experiencing growth due to the increase of new hotels and hospitality-related service through inbound of business travelers and tourists to Malaysia. The influx of tourist is expected to increase and luxury hotels are beginning to be more popular. The interest of studying customer perception toward tourism facilities, especially in luxury hotels has also witnessed an increase. In this study, a qualitative approach on how customers perceive luxury hotels was conducted. This study covered customer satisfaction and service quality perceived by customers toward Sunway Resort Hotel and Spa. Ten individuals were involved in data collection, and data were analyzed thematically. Findings were themed based on positive and negative responses provided by both international and local customers.

• 한국조리학회지
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• 제20권5호
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• pp.11-15
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• 2014

The current study investigated the interrelationship among job-training satisfaction, job satisfaction, and turnover intention in foodservice operations. The findings suggested that the more satisfied employees were with their job training the more likely they were to be satisfied on their job. Furthermore, improving employees' job satisfaction led to lower turnover intention. However, job-training satisfaction by itself did not prove to have a negative relationship with turnover intention. Implications of the findings and future research are discussed.

• The Journal of Asian Finance, Economics and Business
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• 제9권1호
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• pp.213-218
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• 2022

The study's goal is to determine how factors affecting tourism resilience during the COVID-19 pandemic affect Ho Chi Minh Tourism's ability to respond to changes and disruptions. The model and research hypotheses were tested using Multiple Regression Analysis Models. The statistical findings showed that the tourism resilience components have a significant influence on the tourism resilience in Ho Chi Minh city. The analyses revealed that tourism resilience consisted of four latent dimensions. There are 4 explanatory variables with a significance coefficient < 0.05. Therefore, the variables Economic resilience, Ecological resilience, Institutional resilience, and Social resilience all have a significant impact on tourist resilience, which is consistent with Jamaliah and Powell (2017). The findings have important managerial implications for local governments, as well as factors that contribute to tourism resilience, as they must attempt to adapt to changes and turbulences during a pandemic, ensuring that the tourism system rebounds in the future. The four components of tourist resilience are defined in the theoretical contribution. The findings of the study could serve as a starting point for developing future tourist resilience strategies. Because the application of tourist resilience theory is still relatively new, this study presents two theoretical and methodological contributions.

• Journal of Smart Tourism
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• 제1권3호
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• pp.21-29
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• 2021

This study explored the relationship between post types and linguistic characteristics in marketer-generated content and social media engagement to find the optimized content to enhance social media engagement level. Post data of 23,588 marketer-generated content were collected from 50 states' destination marketing organization Facebook pages in the United States. The collected data were analyzed by employing social media analytics, linguistic analysis, multivariate analysis of variance, and discriminant analysis. The results showed that there are significant differences in both engagement indicators and linguistic scores among the three post types. Based on research findings, this research not only provided researchers with theoretical implications but also suggested practitioners the most effective content designs for travel destination marketing in Facebook.