• 한국관광식음료학회지:관광식음료경영연구
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• 제13권1호
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• pp.119-145
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• 2002

The objective of this study is to present an up-to-date and more comprehensive review of tourism as well as hotel and restaurant business forecasting literature. Major reports of business forecasting studies classified into three broad sections including the hotel sector, restaurant sector, and tourism sector chronologically. The focus and descriptions of findings of those studies are reviewed, compared, and critiqued comprehensively, while capturing major trends of forecasting studies.

• 융합경영연구
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• 제8권1호
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• pp.20-28
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• 2020

Purpose: This research explores possibilities for unique tourism programs in the Port of Incheon that would bring tourism benefits from the cruise line industry to Incheon. This research also tries to find practical strategies and principles for the cruise line industry by reviewing the current itinerary in the cruise line industry. Research design, data, and methodology: Because this study is exploratory research, it first reviews trends in global tourism, ocean tourism, and the cruise line industry. Then, this study compares the current status of cruise line industry in South Korea with those in Japan. Lastly, existing cruise itineraries are reviewed for practical strategies and principles. Results: Based on reviewing the example of a cruise ship itinerary from the cruise ship company, possible cruise line programs at stopover places are suggested for the Port of Incheon and if the program is planted, it will boost Incheon's economy and tourism industry. Conclusion: Basic data about tourism in coastal regions and data analyses are lacking. Therefore, this study not only recommends further research in itinerary development or evaluation of cruise stopover programs, but also future research should explore the impact of the cruise industry from many different perspectives.

• 산경연구논집
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• 제15권6호
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• pp.9-15
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• 2024

Purpose: The primary aim of this study is to investigate the current issues in the leisure sports tourism and propose viable solutions based on a comprehensive review of existing literature. The specific objectives are to: (1) Identify the key challenges facing the leisure sports tourism industry. (2) Analyze the impact of these challenges on the industry's growth and sustainability. (3) Review and synthesize existing research to propose evidence-based solutions. Research design, data and methodology: The preliminary search yielded an extensive list of articles. These articles underwent a rigorous screening process based on their titles and abstracts. The inclusion criteria were: (1) studies focused specifically on the leisure sports tourism industry, (2) empirical research providing data on the identified issues, and (3) peer-reviewed journal articles. Results: The leisure sports tourism industry faces several pressing issues requiring effective solutions to ensure sustainability and growth. This section provides four critical solutions addressing the identified challenges: environmental sustainability, infrastructure and facility management, seasonality and economic impact, and health and safety concerns. Conclusions: The findings highlight several actionable solutions to the current issues faced by the leisure sports tourism industry. This industry can achieve a more stable and sustainable growth trajectory by addressing environmental sustainability, infrastructure and facility management, seasonality, and health and safety concerns.

• Journal of Multimedia Information System
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• 제5권1호
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• pp.21-26
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• 2018

Recently, data analysis technology through artificial intelligence is attracting major attention in various industrial fields. In addition, with the increase in personal income, nowadays, the importance of heterogeneous leisure life is becoming more prominent. However, there is a problem that the tourism industry is not out of the traditional service framework. For the ultimate development of the tourism industry, it is time to provide more scientific and systematic tourism services. In this paper, various data analysis techniques in the field of computer science are applied to the field of tourism to realize next generation tourism services. To this end, the scope of this study is limited to the aviation service, and a natural ecosystem of the aviation industry for future-oriented services of aviation tourism that can improve the efficiency of aviation service gradually is established. The proposed method effectively solves the problems of traditional aviation services through data analysis techniques with artificial intelligence techniques in computer science. We expect that it will enhance the customized satisfaction of customers through personalized service and foster loyal customers in aviation companies through the method proposed.

• Journal of Information Technology Applications and Management
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• 제16권3호
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• pp.87-100
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• 2009

The purpose of this study is to investigate the evolution of regional tourism resources from the perspective of business ecosystem network. A regional tourism structure changes due to various factors such as natural resources, facilities, festivals and events, public resources, and etc. An exploratory analysis was conducted to examine the interaction between resource characteristics and alliance complexity in the regional tourism industry. In the process, the duality of technology provides an insight into the interaction among several players within an alliance network which include regional attractions and tourism industry. As a result. we identified four types of tourism alliance network: functional, organizational, resource-oriented, and artificially-allied. The managerial implications are also discussed.

• Journal of Sport and Applied Science
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• 제4권1호
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• pp.17-30
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• 2020

Moving sport tourism refers to travel that combines sport activity and tours to a particular destination. Although moving sport tourism is one of the fastest growing segments of the sport tourism industry, it is still lack of related-knowledge and academic studies. Hence, this study is conducted to explore the characteristics of moving sport tourism and to provide implications for sport tourism industry and future research. For this, ten participants who regularly participated in bicycle tours for the last 10 years were recruited for this study. The sample consisted of 9 males and 1 female. The average age of the participants was 44.6 years of which all but 2 had a full-time job. The average period of participating in bicycle tour was 7.9 years. For analysing data, content analysis approach was used. Interviews were tape recoded and data were multiple reviewed to identify the similar themes and to categorize them into conceptual constructs. Results suggest two requirements of moving sport tourism(moving and concurrent), three characteristics of moving sport tourism(self-directed, exploring, non-linear, purposive-riding, partial competitive, cultural touring) and two categories of moving sport tourism(full moving sport tourism and partial moving sport tourism). Implications for sport tourism industry and future studies were discussed.

• 유통과학연구
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• 제15권7호
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• pp.73-83
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• 2017

Purpose - The purpose of this paper is to explore the CSR activities of small enterprises in hospitality and tourism industry in South Korea. Since previous research on CSR activities has considerably focused on large enterprises whereas small enterprises have relatively less attention, this study aims to explore the characteristics of small enterprises in hospitality and tourism industry and their CSR activities. Research design, data, and methodology - The population of interest for this study was social enterprises registered in Korea Social Enterprise Promotion Agency (2016), and it was used to verify the social enterprises which has a certification for social enterprises. From 1672 companies in total, the sampling frame was a database with 117 companies in hospitality and tourism industry. This study investigates social enterprises' CSR activities on the company's official websites (e.g., company reports, magazines, the news articles, and interviews). The websites of the selected enterprises in hospitality and tourism industry were analyzed for examining CSR activities by the quantitative content analysis. All of the CSR activities in small social enterprises were classified into six dimensions based on the stakeholder theory. Results - The findings of this study provide the characteristics of the 117 small social enterprises and their specific CSR initiatives. A total of eight main business lines were identified: 1) fair travel, 2) leisure/sports, 3) accommodation/camping, 4) medical tourism, 5) exhibitions/art events/cultural events, 6) leisure activities for vulnerable social groups, 7) Korean traditional culture, and 8) ecotourism/agricultural tourism. The CSR initiatives were classified into six dimensions: 1) environment, 2) employment, 3) multicultural families and vulnerable social groups, 4) local community, 5) economic prosperity, and 6) product. Conclusions - This study revealed the special CSR initiative examples of small enterprises in hospitality and tourism industry. Small social enterprises participate in CSR activities mainly related to their own business lines. Moreover, these enterprises are more closely embedded in their local community development, job creation and education for local residents and vulnerable social groups, and traditional heritage preservation. The findings of this study provide theoretical and practical implications and they can contribute to enrich CSR with literature for small enterprises in hospitality and tourism industry.

• 디지털산업정보학회논문지
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• 제12권2호
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• pp.25-29
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• 2016

Owing to the change of economic trends, the importance of the tourism industry is growing more and more. In particular, the number of foreign tourists continues to increase and the type of tourists is being changed into FIT (Foreign Independent Traveler). Therefore it is an important issue to provide the effective information to foreign tourists. To solve these problems, a variety of IT technology is being used in the tourism information systems. Especially the location based tour information service is being emerged. This kinds of tourism information service is a type of LBS (Location Based Services). But if the security of the location based tourism information service is not guaranteed, it can lead to many dangers. In this paper, the trends of location based tourism information service are surveyed. Also the security threats and countermeasures for the location based tourism information service are analyzed. This paper suggests secret considerations for the location based tourism information service.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.8-16
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• 2021

The tourism industry is influenced by a large number of factors that affect the development scenarios of the tourism in different ways. At the same time, tourism is an important component of the national economy of any state, forms its image, investment attractiveness, is a source of income and a stimulus for business development. The aim of the article is to conduct an empirical study to identify the importance of cognitive determinants in the development of tourism. The study used general and special methods: systems analysis, synthesis, grouping, systematization, cognitive modeling, cognitive map, pulse method, predictive extrapolation. Target factors, indicators, and control factors influencing the development of tourism in Ukraine are determined and a cognitive model is built, which graphically reflects the nature of the influence of these factors. Four main scenarios of the Ukrainian tourism industry are established on the basis of creating a matrix of adjacency of an oriented graph and forecast modeling based on a scenario approach. The practical significance of the obtained results lies in the possibility of their use to forecast the prospects of tourism development in Ukraine, the definition of state policy to support the industry that will promote international and domestic tourism.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.