• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.458-468
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• 2019

This research attempted to estimate monthly sales of food and beverage at the passenger terminal of Incheon int'l airport from June of 2015 to December 2020. This paper used ARIMA-Intervention model which can estimate the change of the sales amount suggesting the predicted monthly food and beverage sales revenue. The intervention variable was travel-ban policy against south Korea from P.R. China since July 2016 to December 2017 due to THAAD in south Korea. According to ARIMA, it was found normal predicted sales amount showed the slow growth increase rate until 2020 due to the effect of intervened variable. However, the monthly food sales in July and August 2019 was 20.3 and 21.2 billion KRW respectively. Each amount would increase even more in 2020 and the amount would increase to 21.4 and 22.1 billion KRW. The sales amount in 2019 would be 7.7 and 8.1 billion KRW and climb up 7.9 and 8.2 billion KRW in 2020. It was expected LCC passengers tend to spend more money for F&B at airport due to no meal or drink service of LCC or the paid-in meal and beverage service of LCC. The growth of sales of food and beverate will be accompanied with the growth of LCC according to estimated data.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.444-455
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• 2022

The purpose of this study is to examine the roles of emotional intelligence and knowledge sharing, while focusing on the customer orientation of flight attendants, to identify the strategies to improve the quality of services provided by flight attendants. For this purpose, the researcher examined the relationships between emotional intelligence and customer orientation, as well as the impact of knowledge sharing in the process. The survey was conducted over three weeks from May 6, 2021, to May 27, 2021, and the 426 questionnaires recovered were analyzed using statistical software programs SPSS 23.0 and AMOS 23.0. The findings of this study are as follows; First, the emotional intelligence of flight attendants had a positive impact on customer orientation. Second, the emotional intelligence of flight attendants had a positive impact on knowledge sharing. Third, the knowledge sharing of flight attendants had a positive impact on customer orientation. Fourth, in the relationship between the emotional intelligence of flight attendants and their customer orientation, knowledge sharing had a significant mediating effect. Based on the findings of this study, it would be possible to consider support strategies for organizations, including the training programs for enhancing the emotional intelligence of flight attendants and a corporate culture in which knowledge sharing can be promoted.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.1-7
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• 2022

The purpose of this study is to discuss the impact of unmanned aerial vehicle service and how to activate it. The discussion on the impact of the introduction of the unmanned aerial vehicle service was examined in terms of economic, environmental, and social acceptance, and a plan to revitalize the industry was presented. In terms of economic impact, if transportation services are increased using unmanned aerial vehicles in the future, road-based transportation cargo may decrease and road movement speed may increase due to reduced road congestion. This can have a positive effect on the increase in the value of land or real estate assets, and it also provides an impact on smart city design. In terms of environmental impact, unmanned aerial vehicles (UAVs) generally move through electricity, so they emit less exhaust gas compared to other existing devices, such as vehicles and railroads, and thus have less environmental impact. However, noise can have a negative impact on the habitat in the presence of wild animals along their migration routes. In terms of social acceptability of unmanned aerial vehicles (UAV) technology, areas that are declining due to the emergence of new services may appear, and at the same time, organizations that create profits may appear, causing conflicts between industries. Therefore, it is essential to form a social consensus on the acceptance of emerging industries. The government should come up with various countermeasures to minimize the negative impact that reflects the characteristics of the unmanned aerial vehicle use service. Just as various systems such as road signs were introduced so that vehicles can be operated on the ground to secure air routes in the mid- to long-term for revitalization of unmanned-based industries, development and establishment of services that should be introduced and applied prior to constructing air routes I need this. In addition, the design and implementation of information collection and operation plans for unmanned air traffic management in Korea and a plan to secure a control system for each region should also be made. This study can contribute to providing ideas for mid- to long-term research on new areas with the development of the unmanned aerial vehicle industry.

• The Journal of Information Systems
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• v.31 no.3
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• pp.197-220
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• 2022

Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV²) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.233-240
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• 2024

In this study, we introduce a system for real-time monitoring of field conditions within an industrial complex using a 5G network UAV (: Unmanned Aerial Vehicle). When a monitoring event occurs in a sensor mounted on a UAV (detection of fire, harmful gas, or industrial disaster type human accident), key information from the sensor is transmitted to the UAS (: Unmanned Aerial System) application server. As a result of this information transmission and processing, managers or operators of the Industrial Complex Corporation were able to secure legal basis data for fatal accidents, fires, and detection of harmful gases at sites within the Industrial Complex Corporation through trigger processing for each accident risk situation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.307-317
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• 2024

The purpose of this study is to analyze the impact of merchants' perceptions of service quality, youth mall creation, and traditional market revitalization on management performance to derive factors that can improve the self-sustainability of the traditional market. In particular, it was intended to predict the practical effect of the youth mall creation project by including merchants' perceptions of the rapidly emerging youth mall to revitalize the traditional market. In this study, 430 small business owners from five private traditional markets in Iksan were surveyed, the research model was verified by analyzing the technical statistics, reliability, and validity of the data collected using the SPSS 21.0 program, and the hypothesis was verified through correlation and regression analysis. Although youth malls are actively promoted at the government level to revitalize traditional markets and improve management performance, this study confirmed that the creation of youth malls in traditional markets does not directly affect traditional market revitalization and management performance, confirming that policies to create youth malls that can actually help revitalize traditional markets and improve management performance in the future need to be promoted.

• International Area Studies Review
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• v.16 no.1
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• pp.53-74
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• 2012

The bundling of multiple products/services at a set price has become a popular marketing strategy. However, little is known on how effects of bundling strategy influence tourists' evaluation of tour packages. Tourists evaluate a tour package based on the trade-off between the perceived benefits and costs involved in purchasing the tour package. In other words, the perceived value of the tour package influenced whether tourists to purchase a tour package or not. This study tested a tour package based on the theory of bundling, taking a moderating approach with perceived value. The data for this study wascollected by subjects who live Seoul Metropolitan Area and Gyeonggi Province and 4234 respondents, potential tourists to northeastern U.S.A/Canada. Results show that bundling taken by travel agencies include how many product items to put in a tour package and what degree of discount for the tour package. Also explaining functional relationship among product items in the tour package. Result show that tourists expect a discount, large or small, from purchasing a tour package. And the larger the number of products in a tour packages, the larger the discount size, and low functional relationship among items tourists expect to get.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.201-206
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• 2019

Korea is constructing geospatial information application system for geospatial information utilization, but it is trying to establish a system for joint use of geospatial information system centering on Ministry of Land Transport and Transport due to the problem of sharing. The purpose of this study is to investigate and analyze the geospatial information application system operated by local governments, and to suggest the application of geospatial information application system using unmanned aerial images. As a result of the research, it was found that the functions of existing spatial information application system are concentrated on the public services and it is difficult to share and utilize data between administrative departments. In addition, the utilization of the system using unmanned aerial image has been suggested, and additional functions such as vector display, area calculation, and report generation have been derived to improve the usability of geospatial information application system. If additional functions of spatial information application system are added through further studies in the future, it will be possible to use it as a basic data of field survey and policy decision in related fields. And non-experts will be able to improve the efficiency of work by utilizing highly accurate geospatial information in various fields.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.115-123
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• 2021

The primary purpose of the study is to investigate museum visitors' intention to use of smart tourism contents by applying the extended technology acceptance model. The study conducted an online survey of a convenience sampling of individuals who visited the National Museum of Korea, and it conducted confirmatory factor analysis and structural equation modelling to test hypotheses of the study. The results showed that information quality of immersive digital gallery in the National Museum of Korea had a significant regression weight on both perceived ease of use and perceived usefulness, and perceived ease of use had a significant regression weight on perceived usefulness. Moreover, both perceived ease of use and perceived usefulness had a significant regression weight on intention to use. The findings indicate that it is necessary to develop smart tourism contents with easily accessible and usable digital applications for promoting smart tourism in the museum.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.325-331
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• 2018

The purpose of this study is to examine the influence of perceived career barriers to career compromise of university students who are looking for jobs. In this research, career barriers are classified interior barriers and exterior barriers and the moderate effect was verified on the relation between both barriers and career compromise. The collected 280 survey sheets were analyzed using regression analysis. As results, both career barriers affect on the career compromise positively. And self-efficacy has a moderate effect on the relation between career barriers and career compromise. These findings show that self-efficacy can help students overcome their career barriers. In the further studies, it is necessary to examine whether the employee' job satisfaction and turnover rate are related to self-efficacy.