• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.167-184
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• 2013

A cross docking operation involves multiple inbound trucks that deliver items from suppliers to a distribution center and multiple outbound trucks that ship items from the distribution center to customers. Based on customer demands, an inbound truck may have its items transferred to multiple outbound trucks. Similarly, an outbound truck can receive its consignments from multiple inbound trucks. The objective of this study is to find the best truck spotting sequence for both inbound and outbound trucks in order to minimize total operation time of the cross docking system under the condition that multiple visits to the dock by a truck to unload or load its consignments is allowed. The allocations of the items from inbound trucks to outbound trucks are determined simultaneously with the spotting sequences of both the inbound and outbound trucks.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.116-123
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• 2023

In supply chain, most partners except the top level suppliers have inbound and outbound logistics. For example, toll manufacturing companies get unprocessed materials from a requesting company and send the processed materials back to the company after toll processing. Accordingly, those companies have inbound and outbound transportation costs in their total logistics costs. For many cases, the company may make the schedule of distributions by considering only the due delivery dates. However, the inbound and outbound transportation costs could significantly affect the total logistics costs. Thus, this paper considers the inbound and outbound transportation costs to find the optimal distribution plans. In addition, we have considered the inventory holding costs as well with transportation costs. From the experimental results, we have provided the optimal strategies for the distributions of replenishment as well as deliveries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3286-3309
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• 2023

This study empirically investigates the impact of informatization on China's inbound tourism development. The analysis utilizes data on the number of inbound tourist arrivals in 30 Chinese provinces from 13 tourist origin countries between 2004 and 2016. The regional informatization level is measured by the internet penetration rate. It is found that informatization in tourist destination provinces has a significant positive impact on inbound tourism. Moreover, the local public service supply plays a moderating role. The positive effect of informatization is stronger in regions with better public services. The study results imply that China can boost its inbound tourism by further improving the level of informatization as well as local public services.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.213-222
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• 2023

This paper mainly studies the relationship between financial development, inbound tourism development, and economic growth rate in Fujian Province, China. This study uses the data of real GDP, foreign exchange income from international tourism, and financial interrelations ratio from 1994 to 2019. In the analysis process, the Johansen cointegration test is first used to analyze whether the three have a long-term equilibrium relationship. Then the vector error correction model is established to test the restrictive relationship among the three. Next, the Granger causality test assesses whether the three have a causal relationship. Finally, the contribution rate of the three is analyzed by variance decomposition. The above methods show the following conclusions: first, the three have a long-term equilibrium relationship. Secondly, in the short term, local economic growth is constrained by inbound tourism and financial development. Thirdly, there is a causal relationship between economic growth and inbound tourism in Fujian, while there is a unidirectional causal relationship between financial development and economic growth, financial development, and inbound tourism. Fourthly, the contribution rate of inbound tourism to economic growth fluctuations in Fujian is higher than that of financial development.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.1
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• pp.92-98
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• 2023

This paper used the golf course visitors' data in Jeju region to forecast the growth of inbound air traveler to Jeju. This is because the golf course visitors were proven to bring the highest economic and production inducement effect to the Jeju region. Based on such a data, this paper forecast the short-term growth rate of inbound air traveler using ARIMA to the Jeju until December 2025. According to ARIMA (0,1,0) (0,1,1) model, it was analyzed that the monthly number of golf course visitors to Jeju has been increasing steadily even since COVID-19 pandemic and the number is expected to grow until the end of 2025. Applying the same parameters of ARIMA (0,1,0) (0,1,1) to inbound air travel data, it was found the growth rate of inbound air travelers would be higher than the growth rate of 2019 shortly without moderate variation even though the monthly number of inbound travelers to Jeju had been dropped during COVID-19 pandemic.

• Knowledge Management Research
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• v.21 no.4
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• pp.265-285
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• 2020

The inbound tourism market is recognized as a vital sector of the tourism industry today, but it is highly volatile due to each country's economic, social, and cultural variables. The causes of volatility vary according to the inbound country, and we intend to revitalize the stabilized tourism industry by minimizing risks. In this study, the portfolio theory was applied to derive the optimal combination for each country to achieve the minimum risk level's maximum growth rate. The number of inbound travelers and the average expenditure per person was simultaneously applied. As a result of the analysis, the best mix by country based on the number of inbound travelers was the UK, the United States, Germany, China, and Japan. Based on average spending, each country's best combinations were Thailand, Middle East, Singapore, Japan, Russia, Hong Kong, and Germany. It is expected to be able to establish a plan to operate the Korean inbound tourism market strategically.

• Korean Journal of Human Ecology
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• v.11 no.2
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• pp.197-209
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• 2002

The purpose of this research was to develop of measured scales for purchasing motivation of inbound tourists about fashion goods. A self-administrated questionnaire survey method was conducted among foreign tourists visited in Dongdaemun market. Data from 615 of inbound tourists were analysed by using factor analysis. As the results of the survey, 6 factors related purchasing motivation were derived; satisfaction, practicality, fashion, memory of tourism, eonomy and impromptu. The adequate indexes were shown from final models, such as RMR=.047, SMSEA =.043, CFI=.935, GFI=.956, AGFI=.937 and NFI=.888. It means that these values are appropriate to the measured scales for purchasing motivation of inbound tourists for fashion goods.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• Asia Pacific Journal of Business Review
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• v.5 no.1
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• pp.1-9
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• 2020

Tourism development stimulates job creation and the development of other sectors of the economy. More than 30 sectors of the economy are connected to tourism. It distributes resources between sectors and stimulates of development of such sectors like transport, communications, services, trade, construction, and the production of consumer goods. All these increase the importance of tourism as well as forecasting it by analyzing the demand. This study is a review on inbound tourism of Uzbekistan. The study will examine regression analysis as an effective tool that plays an important role as well as in the field of tourism demand analysis. In this study, firstly the estimating tourism demand is explained, secondly, the regression analysis is examined as an estimating tool of tourism demand. The paper includes a country study dedicated to the Tourism market of Uzbekistan. Nevertheless, the forecast on the inbound tourism of Uzbekistan was developed by using some statistical data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.8B
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• pp.521-528
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• 2007

This paper proposes a message authentication scheme to resist potential spam threats in SIP-based VoIP services. Our scheme applies the extended HTTP digest authentication mechanism between the inbound proxy and the UAS to verify that a service request is coming through the valid inbound proxy. The proposed scheme is simple and requires minimal modification the current SIP standards, and effective to filter invalid peer-to-peer spam calls. In this paper, an experimental spam attack using modified open source was tested on a commercial VoIP networks to exploit the possibility of spam attacks in real environment.