• Management & Information Systems Review
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• v.20
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• pp.137-156
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• 2007

This study had an objective to obtain a result of the economic impacts of lodging industry on the Koran economy. Using the input-output model(I-O model), lodging industry sectoral multipliers were derived from the effects of output, income, employment, value added. indirect tax, and import. According to results of this study, estimated economic impacts of the convention industry were $2,950 million in output, $712 million in income, 92,257persons in employment, $1,590 million in value added, $12 million in indirect tax, and $226 million in import sectors.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.455-465
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• 2014

This study focuses on some institutional improvement for revitalization of change in building use of officetel to lifestyle lodging industry. First as analysis method, this study establishes a failure factor for change in building use of officetel to lifestyle lodging industry. Second, analyzes an urgent importance to improve it in aspect of a legal institution or management for revitalizing a change of building use of officetel to lifestyle lodging industry. As a result, a failure factor of change in building use from officetel to lifestyle lodging industry is deducted in 4 articles with 13 detailed index. As a result of AHP, 'existing contractor's 100% agreement condition' is the first place, 'commercial /semi-residential area in zoning' is the second place, 'relative cleanup zone' is the fourth place, 'late changes of building use by a complex licensing procedure' is the fifth place, 'operational risk of consignment' is the sixth place, 'deficiency in publicity of related institution' is the eighth place, 'lack of concept in lifestyle lodging industry of building code' is the ninth place, 'basic constructional condition such as parking lot sewage and fire protection system' is the tenth plce, 'installation of ventilation facility' is the eleventh place, 'installation of bathroom and shower room in each room' is the twelfth place, 'installation of kitchen facility' is the thirteenth place.

• The Korean Journal of Community Living Science
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• v.16 no.1
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• pp.113-121
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• 2005

In this study, those previous research works are reviewed and summarized in various contexts, and this paper also describes the results of an empirical study done for the sample business workers in Korea, analyzing SQC and consumer's value. The surveyed data are statistically analysed to examine the relationship between SQC acquisition and consumer's value in the lodging industry, considering additional factors of business types of companies as well as the consumer's using purpose of service facilities. The important findings of the study can be summarized as follows: First, the business types of companies is an insignificant factor on the consumer's value by the quality certificated services, while the using purpose of service facilities(Hotel and Pension) is an significant factor. Second, the descriptive result is shown that consumers are willing to pay 21.47～31.24 % more than the un-certificated services for quality-certificated services. On the basis of these findings, some practical implications can be drawn for the effective management of the lodging industry. When a firm decides to establish a business plan, it should be considered the using purpose of service facilities.

• Smart Media Journal
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• v.12 no.9
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• pp.28-37
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• 2023

The main factor affecting the decline in rice yield is damage caused by localized heavy rains or typhoons. The method of analyzing the rice lodging area is difficult to obtain objective results based on visual inspection and judgment based on field surveys visiting the affected area. it requires a lot of time and money. In this paper, we propose the method of estimation and diagnosis for rice lodging areas using a Vision Transformer-based Segformer for RGB images, which are captured by unmanned aerial vehicles. The proposed method estimates the lodging, normal, and background area using the Segformer model, and the lodging rate is diagnosed through the rice field inspection criteria in the seed industry Act. The diagnosis result can be used to find the distribution of the rice lodging areas, to show the trend of lodging, and to use the quality management of certified seed in government. The proposed method of rice lodging area estimation shows 98.33% of mean accuracy and 96.79% of mIoU.

• Knowledge Management Research
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• v.10 no.3
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• pp.115-132
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• 2009

This paper makes an analysis of economic spillover effects of credit guarantee by linking the remainder of guarantee according to industries from 2003 to 2006 in this study. Specifically, total remainder of guarantee in 2006 is approximately 3922 billion and 600 million won on the basis of unchangeable price in 2003, and each funds becomes the input of the last demand in 27 industries over the cow1try and, thereby, induces production, added value, and the effect of employment. The last demand according to industries shows that a lot of funds have been supported to the manufacturing industry for about 1200 billion won, the wholesale and retail for about 1299 billion and 500 million won, food and lodging industry for about 144 billion and 100 million won, education and health care industry for about 132 billion and 600 million won, and social and other service industry for about 339 billion and 300 million won. The spillover effect about the remainder of guarantee in 2006 classified by industries over the country on the basis of production shows the high effects on the manufacturing industry for 37.8%, 2625 billion and 90 million won, the wholesale and retail for 20.7%, 1439 billion and 290 million won, food and lodging industry for 9.4%, 654 billion and 570 million won, real estate and business service industry for 9.2%, 637 billion and 310 million won, social and other service industry for 5.3%, 369 billion and 90 million won, and education and health care industry for 2.9%, 199 billion and 300 million won of the effect causing production over the country, 6945 billion won in order. The effect causing added value shows high spillover effect on the wholesale and retail for 36.7%, 1186 billion and 830 million won, the manufacturing industry for 25.8%, 831 billion and 500 million won, food and lodging industry for 14.9%, 480 billion and 980 million won, social and other service industry for 9.3%. 300 billion and 160 million won, and real estate and business service industry for 4.2%, 135 billion and 36 million won of the effect causing added value over the country in order. Finally, the effect causing employment shows a lot of employment have occurred in the wholesale and retail for 37.4%, 23,060 people, the manufacturing industry for 18.9%, 11,637 people, food and lodging industry for 13.7%, 8,429 people, social and other service industry for 7.9%, 4,866 people, and real estate and business service industry for 5.6%, 3,429 people of 61,617 people in order.

• Journal of the Korean Regional Science Association
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• v.8 no.2
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• pp.11-26
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• 1992

In spite of her abundant natural resources for tourist industry, Kangreung and Sokcho area became lagged in economic development during the national industrialization. The major purpose of this study is to exactly purpose of this study is to exactly measure the impacts of tourist industry on regional development. Through the regional input-output analysis, we found some critical facts: (1) Input coefficients are relatively high in those industries as fish products, food and drink products, and printing and publishing. (2) Input coefficients are high in fiber and apparel products, and other manufac-turing. (3) Induced production effects are high in chemical and coal products, fish products, food and fish products, printing and publishing, and public administration for Sokcho. (4) As for the induced employment effect, food and lodging, other services, wholesale and retail show high coefficients. (5) As for the location quotients, food and lodging, fish products, transportation and ware housing are identified as basic industries. Through the questionnaire survey, we also found some important facts: (1) Residents tend to evaluate employment effects higher than the income effects from resort-related development. (2) Pollution, forest demolition, general price increase, and traffic congestions are more serious than ever reported. (3) Willingness to participate in resort development is high, but is discouraged by the lack of regional capital. Based on these findings, we suggest some future directions of tourist industry: (1) blocking the leakage of income produced in tourist and tourist industry, (2) connection between fishery and tourist industry, (3) development of tourist route, and (4) administrative reshuffling that helps joint development between private and public sectors.

• Proceedings of the Korean Society of Crop Science Conference
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• 1988.02a
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• pp.78-79
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• 1988

• Smart Media Journal
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• v.12 no.8
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• pp.18-25
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• 2023

The COVID-19 outbreak in 2020 caused continuous damage worldwode, especially the smart tourism industry was hit directly by the blockade of sky roads and restriction of going out. At a time when overseas travel and domestic travel have decreased significantly, the number of tourist hotels that are colsed and closed due to the continued deficit is increasing. Therefore, in this study, licensing data from the Ministry of Public Administraion and Security were collected and visualized to understand the operation status of the tourism and lodging industry. The machine learning classification algorithm was applied to implement the business status prediction model of the tourist hotel, the performance of the prediction model was optimized using the ensemble algorithm, and the performance of the model was evaluated through 5-Fold cross-validation. It was predicted that the survival rate of tourist hotels would decrease somewhat, but the actual survival rate was analyzed to be no different from before COVID-19. Through the prediction of the business status of the hotel industry in this paper, it can be used as a basis for grasping the operability and development trends of the entire tourism and lodging industry.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.179-187
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• 2019

This study aims to investigate the effects of market commonality and resource similarity on price competition and the recursive consequences in the Korean lodging market. Price comparison among hotels in the same geographic market has been facilitated through the development of information technology, rendering little search cost of consumers. While the literature implies the heterogeneous price attack and response among hotels, a limited number of empirical researches focus on the asymmetric and recursive pattern in the competitive dynamics. This study empirically examines the price interactions in the Korean lodging market based on the theoretical framework of competitive price interactions and countervailing power. Demonstrating superiority to the spatial lag model and the ordinary least squares in the estimation, the results from spatial error model suggest that the hotels with longer operational history pose an asymmetric impact on the price of the newer hotels. The asymmetry is also found in chain hotels over the independent, further implying the possibility of predatory pricing. The findings of this study provide the evidence of a hierarchical structure in the price competition, with different countervailing power by the resources of the hotels. Theoretical and managerial implications are discussed, with suggestions for future study.

• Journal of Korean Society of Rural Planning
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• v.20 no.1
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• pp.127-134
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• 2014

This study, in order to complement instability of analysis result stemming from the choice between reference point and comparison point which is pointed out as the defect of shift-share analysis, conducted shift-share analysis using Gross Regional Domestic Product (GRDP) trend of Geumgang area, Chungcheongnam-do for the period from 2000 to 2011. As a result of the analysis, (1) industries that had both the positive Regional Share Effect (RSE) and Industrial Mixed Effect (IME) were service industries such as manufacturing industry, electricity gas, transportation industry, art, etc., which are positively influencing the regional industry. (2) industries that had both the negative RSE and IME were other service industries such as wholesale and retail businesses, lodging industry, food industry, real estate business and leasing service, business service industry, public administration, etc., which provide basic livelihood services for the residents. (3) industries that had the positive RSE and negative IME were agriculture, forestry and fishery industry, mining industry, construction industry, and educational service industry. (4) industries that had the negative RSE and positive IME were info-communications industry, financial and insurance businesses, health industry, etc.