• Journal of Information Technology Services
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• v.19 no.6
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• pp.15-29
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• 2020

Facing the era of intelligence, the demands for changes of e-Government system appears to be rising upon the development of AI, VR, IoT and other new technologies. However, it also comes with the increasing possibility of mobile digital divide among regions, ethnicities and social classes. As the e-Government Service is only available for specific groups, the national government should proactively build an information environment to promote the convenient access and use of e-Government Service comprehensively by all the people. In the light of the sociodemographic characteristics, this study tests whether the difference is statistically significant involving the mobile digital divide between different groups with the analysis of variance, while determining the relationship between the mobile digital divide and the usage intention of e-Government Service through multiple regression analysis. The main findings of this study are as follows. First, there are differences and statistical significance between groups of different ethnicities and regions on accessibility with electronic products and networks. Second, there are obvious differences and statistical significance between groups of different ages, educational levels and ethnicities on the competency and usability of electronic products and networks. Third, the accessibility to electronic products and networks has no effect on the usage intention of e-Government Service, while the competency and usability of electronic products and networks have a strong positive impact on the usage intention of e-Government Service. The author hopes that the research findings of this paper can provide reference suggestions and opinions for bridging the digital divide among regions in China and promoting the popularization of the e-Government Service.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.279-290
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• 2022

As the growth of the live streaming service market is accelerating due to COVID-19, the number of downloads and reviews of live streaming mobile applications is also rapidly skyrocketing. This study is to research game streaming applications using Twitch reviews as database. A total of 8 topics are extracted through LDA topic modeling and 7 out of them are detected to be inconvenience factors. Then, to pinpoint the main inconvenience factors, co-occurrence analysis is used in order to find out main factors. Finally, based on previous studies, several solutions are provided, which can solve the inconvenience factors(advertisement, UI design, technology problems) as well as strengthening digital competitiveness. This study will serve as an opportunity to improve digital competitiveness not only for Twitch but also for other game live streaming service companies in the future.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.1
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• pp.91-99
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• 2022

The shipping industry is a service industry that operates its business by transporting cargo on ships and receiving freight. Therefore, large-scale capital investment is required for ship operation, and if the value of the ship is uncertain, the risk of shipping management increases. This study aims to identify the factors affecting changes in ship value and to analyze the importance of each variable. To achieve the goal, the factors affecting changes in ship value were identified and structured using the techniques of text mining and topic modeling, and classified into three main factors and 12 sub-factors. This study used AHP analysis to examine the relative importance of each factor. Results indicated that the main factor influencing the change in the vessel value was the shipping factor, followed by the investment factor and the environment factor. Other auxiliary factors that substantially affect the ship value include the volatility of the shipping market and of shipping freight.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.7-14
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• 2022

The decrease in the school-age population caused the closure of private universities, but the guidelines at closed private universities are ambiguous, causing confusion. Therefore, this study intends to suggest a plan to utilize the closed school university. The government aims to increase the possibility of selling closed schools by preventing alley slums through the recovery of alley commercial districts and local communities. The data were collected through a Google survey from September 30 to October 8, 2021 and an on-site interview conducted on October 2, 2021. A total of 84 nearby citizens of the closed school university were surveyed, and on-site interviews were conducted with a total of five people. The collected data suggested the direction of utilization plan for closed school building. This study will present a model for the use of closed school property in the future and contribute to the establishment of urban regeneration policies.

• Journal of Information Technology Services
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• v.21 no.1
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• pp.163-179
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• 2022

Two dominant phenomena in modern world; population ageing and digitalization, have led public sector organizations to heavily rely on B2C(Business-to-Consumer) mobile applications. Yet, fatal concerns and complaints have often been raised by the mobile application users, notably from social welfare sector. With the continual expansion of digital landscape as well as the growth of life expectancy, usage of mobile applications has become prevalent across the stakeholders involved in social welfare sector. 'Smart Long-Term Care (SLTC)', inter alia, is a primary example of such mobile applications, designed to support Long-Term Residential Care (LTRC) service. The main goal of SLTC is to serve more convenient and practical LTRC service for both caregivers and care receivers. To examine user satisfaction of SLTC mobile application, this study investigates existing challenges and means to improve user satisfaction. Hence, we conducted this study using two methods: in-depth interview and topic modeling. Interestingly, two research outcomes commonly indicated that 5 factors (stability, accessibility, usefulness, responsiveness, and ease of use) were found significant in affecting user satisfaction of SLTC. Our findings suggest that the aforementioned factors can be seen as potential causes of the genuinely low user satisfaction. Eventually, this work will be a stepping-stone to elevate the overall quality level of LTRC service along with the user satisfaction degree of SLTC mobile application.

• Journal of Information Technology Services
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• v.21 no.2
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• pp.1-26
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• 2022

This study classified five types of online food subscription economy: replenishment, curation, surprise, membership, and visitation. An online survey was conducted with 314 customers who experienced 5 types of online subscription economy. This study selected the characteristics of the food subscription economy as convenience, perceived personalization, economic utility, and timeliness through previous studies. The effect of the four characteristics on perceived value (utilitarian and emotional) and the relationship between customer engagement and perceived value, which are dependent variables that have never been used in the food subscription economy, were verified through the S-O-R model. In this relationship, we demonstrated how consumers' personal tendencies, such as need for cognitive closure and self-efficacy, mediate between timeliness and perceived value related to online food delivery. The study results are as follows. Perceived personalization, convenience, and timeliness had a positive effect on the utilitarian value in the order. It also had a positive effect on emotional values in the order of perceived personalization and timeliness. On the other hand, economic utility had no significant effect on practical branches. Customer engagement had a positive effect in the order of emotional value and utilitarian value. The lower the need for cognitive closure the more positive the utilitarian value. The lower the self-efficacy, the more positive the emotional value was perceived. Through the above study, companies that want to operate or start an online food subscription economy need a strategic approach rather than unreasonable price discounts in pricing policy. In addition, it is necessary to focus on marketing activities that provide emotional value by focusing on perceived personalization, which is the satisfaction factor of online food subscription.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.155-168
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• 2022

Purpose - Although the government and civic groups do not always confront each other over the Me Too movement, the two stakeholders are often conflicted. For example, the two interested parties may have different positions in the gender conflict and be often hostile due to debates over how to institutionalize and distinguish actual harm from innocence. In this situation, the strategies of the two stakeholders for their own ends are inevitably interdependent. This paper is a study on the strategic reciprocity of interested parties in relation to the Me Too Movement, which has recently raised a new discourses in our society. Design/methodology/approach - We derive equilibrium of the reciprocity between civic groups(collectively referred to as the Me Too Movement Headquarters) leading the Me Too Movement and government that must preemptively respond to new social issues, and analyze how changes in some external conditions affect the reactions of the two stakeholders. For this purpose we rely on economic methodology. Findings - In the reciprocity between the two forces, we derive an equilibrium composed of the pair of the government's optimal response level and the civic group's optimal strategy, and further derive the comparative static results according to changes in external conditions. Analysis results are mixed with intuitive results and non-intuitive ones. However, even if the result is not intuitive, rational reasoning is possible as long as it is derived through a rigorous model, and it has several implications. Research implications or Originality - Although this study is a positive approach, it is meaningful as a starting point to explore practical discussion directions and alternatives by adding another new perspective and approach to research in other social science fields with many normative studies.

• Journal of Korea Port Economic Association
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• v.39 no.1
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• pp.47-63
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• 2023

In smart ports and port automation, the number of vertically deployed container terminals is growing. The purpose of this study is to analyze the productivity of horizontally arranged and vertically arranged container terminals by comparing the main ship operation time, and to recommend future strategies for increasing the operational efficiency of vertically configured container terminals. To achieve our goal, we chose two terminals representating each type, and collected berth allocation status data from 2018 to 2022. Then we analyzed the data using the Accelerated Failure Time (AFT) model, a parametric survival analysis technique. Under the assumption that the working circumstances of the C/C (Container Crane) are the same, we find that the productivity of on-board work of the vertically placed container terminal is higher than that of the horizontally placed container terminal. Our result also shows that the productivity is reduced during the COVID-19 period and the European ships show lower onboard work time. On the basis of these findings, we propose strategies to improve the productivity of vertical container terminals.

• The Journal of Bigdata
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• v.7 no.1
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• pp.89-97
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• 2022

Various efforts are needed to prevent accidents because ship collisions can cause various negative situations such as economic losses and casualties. Therefore, research to prevent accidents is being actively conducted, and in this study, new leading indicators for preventing ship collision accidents is proposed. In previous studies, the risk of collision was expressed in consideration of the distance between ships in a specific sea area, but there is a disadvantage that a new model needs to be developed to apply this to other sea areas. In this study, the density-based ship domain DESD (Density-based Empirical Ship Domain) including the environment and operating characteristics of the sea area was defined using AIS (Automatic Identification System) data, which is ship operation information. Deep clustering is applied to two-dimensional DESDs created for each sea area to cluster the seas with similar operating environments. Through the analysis of the relationship between clustered sea areas and ship collision accidents, it was statistically tested that the occurrence of accidents varies by characteristic of each sea area, and it was proved that DESD can be used as a leading indicator of accidents.

• Convergence Security Journal
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• v.22 no.3
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• pp.101-110
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• 2022

As the cases of using artificial intelligence in various fields increase, attempts to solve various issues through artificial intelligence in the intrusion detection field are also increasing. However, the black box basis, which cannot explain or trace the reasons for the predicted results through machine learning, presents difficulties for security professionals who must use it. To solve this problem, research on explainable AI(XAI), which helps interpret and understand decisions in machine learning, is increasing in various fields. Therefore, in this paper, we propose an explanatory AI to enhance the reliability of machine learning-based intrusion detection prediction results. First, the intrusion detection model is implemented through XGBoost, and the description of the model is implemented using SHAP. And it provides reliability for security experts to make decisions by comparing and analyzing the existing feature importance and the results using SHAP. For this experiment, PKDD2007 dataset was used, and the association between existing feature importance and SHAP Value was analyzed, and it was verified that SHAP-based explainable AI was valid to give security experts the reliability of the prediction results of intrusion detection models.