• Title/Summary/Keyword: Tourism Service Industry

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Features of State Regulation of the Hotel and Restaurant Business in the Digital Economy

  • Davydova, Olena;Tomalia, Tetiana;Prylepa, Nataliia;Hryzovska, Liliia;Borutska, Yuliia
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.69-74
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    • 2022
  • The main purpose of the study is to determine the features of state regulation of the hotel and restaurant business in the digital economy. Particularly relevant are the processes of digitalization of the service sector. Trade and transport companies, enterprises in the hotel and restaurant industry, catering got the opportunity to expand the target audience, improve the quality of service, develop at an accelerated pace, take into account that in the global digital economy, victory will go to those whose arsenal will involve a large number of high-quality digital platforms. As a result of the study, key aspects of state regulation of the hotel and restaurant business in the digital economy were identified.

Smart Services and Internet of Things

  • Sung-Byung Yang;Kyung Young Lee;Sunghun Chung
    • Asia pacific journal of information systems
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    • v.29 no.3
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    • pp.407-413
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    • 2019
  • This editorial on 'Smart Services and Internet of Things (IoT)' focuses on the topics related to the applications of IoT to consumer products and services, which have become 'smarter' thanks to IoT. This special issue explores, in different ways, the phenomena of smart services and the role of IoT in business innovation across different contexts such as product-service system, car auction, tourism industry, communicating platform, online travel agency, self-service retail, and bike sharing. We hope that this special issue will provide a significant step forward in enabling researchers and practitioners to understand smart services and IoT.

Spatial analysis based on topic modeling using foreign tourist review data: Case of Daegu (외국인 관광객 리뷰데이터를 활용한 토픽모델링 기반의 공간분석: 대구광역시를 사례로)

  • Jung, Ji-Woo;Kim, Seo-Yun;Kim, Hyeon-Yu;Yoon, Ju-Hyeok;Jang, Won-Jun;Kim, Keun-Wook
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.33-42
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    • 2021
  • As smartphone-based tourism platforms have become active, policy establishment and service enhancement using review data are being made in various fields. In the case of the preceding studies using tourism review data, most of the studies centered on domestic tourists were conducted, and in the case of foreign tourist studies, studies were conducted only on data collected in some languages and text mining techniques. In this study, 3,515 review data written by foreigners were collected by designating the "Daegu attractions" keyword through the online review site. And LDA-based topic modeling was performed to derive tourism topics. The spatial approach through global and local spatial autocorrelation analysis for each topic can be said to be different from previous studies. As a result of the analysis, it was confirmed that there is a global spatial autocorrelation, and that tourist destinations mainly visited by foreigners are concentrated locally. In addition, hot spots have been drawn around Jung-gu in most of the topics. Based on the analysis results, it is expected to be used as a basic research for spatial analysis based on local government foreign tourism policy establishment and topic modeling. And The limitations of this study were also presented.

A Study on the de-identification of Personal Information of Hotel Users (호텔 이용 고객의 개인정보 비식별화 방안에 관한 연구)

  • Kim, Taekyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.4
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    • pp.51-58
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    • 2016
  • In the area of hotel and tourism sector, various research are analyzed using big data. Big data is being generated by any digital devices around us all the times. All the digital process and social media exchange produces the big data. In this paper, we analyzed the de-identification method of big data to use the personal information of hotel guests. Through the analysis of these big data, hotel can provide differentiated and diverse services to hotel guests and can improve the service and support the marketing of hotels. If the hotel wants to use the information of the guest, the private data should be de-identified. There are several de-identification methods of personal information such as pseudonymisation, aggregation, data reduction, data suppression and data masking. Using the comparison of these methods, the pseudonymisation is discriminated to the suitable methods for the analysis of information for the hotel guest. Also, among the pseudonymisation methods, the t-closeness was analyzed to the secure and efficient method for the de-identification of personal information in hotel.

A Study on a Plan for Improving the Added Value of the Medical Service Industry

  • Cho, Hak-Rae
    • 한국정보컨버전스학회:학술대회논문집
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    • 2008.06a
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    • pp.121-124
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    • 2008
  • One field that the information society has recently taken much interest in and has continuously implemented is medical services. Health tourism services which emphasize today's patient-oriented management rather than the past hospital-oriented management are highly value-added. As interest in physical fitness increases in keeping with such trends of the society at large as the declining birth rate and increasing life expectancy, and the medical market is opened, the added value of medical services that attract and manage domestic and foreign patients from the global market and satisfy their diverse desires with domestic medical competitiveness such as excellent medical staff and technology is on the spotlight. Hereupon, this study intends to suggest the possibility of developing competitive domestic medical services into a highly value-added industry in keeping with changing environment.

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Decomposing Relationship between Safety Climate, Safety Perception, and Safety Behavior in Airline Industry

  • Gyulee, Kim
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.444-452
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    • 2022
  • This research aims to investigate the relationship between safety climate and safety perception and safety behavior. Safety perception of the relationship is considered to have a mediating effect. Previous literature has tended to regard safety perception as an independent variable at the same level as the safety climate, which can be said to depend on behavioralism to approach the causal relationship to an one-way perspective. The survey was administrated through full- service carries in Korea such as Korean Air and Asiana Airlines, and low-cost carriers such as JeJu air, Jin air, and Air Pusan. It can identify a mediator of safety perception between safety climate and safety behavior. There are significant indirect effects of each value, which means mediators values of safety perception of safety climate variables and safety behavior. The study highlights that airlines should focus on the importance of their psychological aspects to strengthen the safety behavior of flight attendants and the value of organizational efforts to mature safety perceptions, suggesting some implications of theoretical and practical aspects.

Exploring Industrial Function Combining Factors for Each Type in the 6th Industry Based on Decision Tree Analysis (의사결정나무분석법을 활용한 6차산업 유형별 산업적 기능결합 요인탐색)

  • Kim, Jungtae
    • Journal of Agricultural Extension & Community Development
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    • v.23 no.3
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    • pp.243-255
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    • 2016
  • This study aims to identify the characteristics of businesses influencing the choice of their type in the 6th industry and analyze how they work. This study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing, region, the type of service, and the production percentage in a province affected a choice of the type. The most important variable that impacted how businesses in the 6th industry chose their type was the type of agricultural product processing, and if a business produced simple agricultural products, it was likely to specialize into $1st^*2nd$ or $1st^*3rd$. Access to large consumption areas was a critical factor in the growth of 2nd and 3rd industrial functions. These findings would contribute to establishing a model to develop the 6th industry and empirically demonstrate the importance of access to large consumption areas for agricultural businesses and rural tourism.

A Study on Structural Model of Work-Values, Job Satisfaction and Task Performance of Generation Y Staff in the Hotel Industry

  • Choi, Hyunjung
    • Culinary science and hospitality research
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    • v.23 no.6
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    • pp.78-88
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    • 2017
  • The main goal of this study was to demonstrate the causal relationships between multi-dimensional work-values, job satisfaction and task performance of Y generational employee in the Korean hotel industry. In order to achieve the purpose, the data were collected from Y generational employees working in the major cities in Korea. To analyze the data, frequency, exploratory factor analysis, reliability analysis, PROCESS Macro analysis and simple regression analysis were undertaken by using SPSS 18.0. The results were as follows; 1. Work-values were found out as five factors; Prestige workvalues, Personal development work-values, Work condition work-values, Personal welfare work-values, Social/ Altruistic work-values. 2. All five factors were found to be significant in enhancing job satisfaction. 3. Two factors which were prestige work-values and personal welfare work-values were found to be significant in facilitating task performance. 4. Job satisfaction was revealed as a mediator between all work-value factors and task performance. This study provided practical information about work-values of Y generational hoteliers to positively affect their job satisfaction and task performance. This study also confirmed that it is important to enhance job satisfaction in order to make employees perform their service duties better.

A Study of Categorization of Service Recovery Factors in MICE industry by integrating Kano Model and Structural Equation Model (Kano모형을 이용한 컨벤션서비스의 요인별 평가와 서비스회복에 관한 연구)

  • Oh, Chang-Ho;Nam, Sandy-Jo;Kong, Ki-Yul
    • Management & Information Systems Review
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    • v.30 no.2
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    • pp.57-79
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    • 2011
  • One of the fastest growing sector in tourism industry is MICE industry due to globalization among the countries in various parts including business, politics, and cultural exchange. The objectives of this research can be in two fold: firstly, to evaluate the convention service quality and categorize them into three groups, basic service, performance service and exciting service; secondly, to provide the exciting service as a recovery program to restore customer satisfaction and their intention to reuse when the basic or performance service failure occurs. The results are as follows: among the four dimensions of the service quality, only the availability of information and the employee's performance were effected by the exciting service quality. Secondly, employees's performance can only be effected by the exciting service when customer service factor is included prior to the events. Thirdly, the following dimensions of services were not selected to be effective by the exciting services: conditions of physical facility, related infra-structure, the process of customer service and the program. Fourthly, only the additional services and events were selected to be the effective exciting services for the recovery program.

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A Study on Customer Experience with Food Truck Services: Focusing on Topic Modeling Techniques (푸드트럭 서비스 이용객 경험에 관한 연구: 토픽모델링 기법 중심으로)

  • Jooa Baek;Yeongbae Choe
    • Journal of Service Research and Studies
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    • v.14 no.3
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    • pp.188-205
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    • 2024
  • The food truck business, which involves selling various types of food from mobile vehicles, has gained significant popularity in urban centers and at events. These food trucks have rapidly expanded due to their relatively low initial investment and high flexibility, attracting customers with unique menus and personalized services. However, as competition increases, the need to manage service quality to boost customer satisfaction and encourage repeat visits has become more critical. Despite this growing importance, there has been limited empirical research on the topic. This study aims to analyze customer experiences with food truck services to gain strategic insights for improving service quality. By applying structural topic modeling to customer review data, the study identified 50 key topics. The process included a comprehensive evaluation of model diagnostics and interpretability to determine the optimal number of topics, ultimately selecting the most relevant ones related to service experiences. The impact of these identified topics on overall customer satisfaction was empirically tested using regression analysis. The results showed that aspects such as "Food Taste," "Friendly Staff," and "Positive Emotion" had a positive influence on customer satisfaction, whereas "Delayed Service," "Negative Emotion," and "Beverage Service" had a negative impact. Based on this analysis, the study proposes concrete methods for food truck operators to systematically analyze customer feedback and use it to drive service improvements and innovation. This research highlights the importance of data-driven decision-making in small business environments like food trucks and contributes to expanding the application of topic modeling in the service industry.