• Journal of Digital Convergence
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• v.20 no.4
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• pp.55-62
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• 2022

The purpose of this study is to investigate the role of Gyeonggi provincial governments in smart city policy. In order to satisfy the purpose of the study, we closely identified how may local governments(si. gun) have been taking participated in smart city project of the central government, and its characteristics. Then we know the detailed strategies that Gyeonggi provincial governments should do. Gyeonggi-do provincial governments enacted smart city-related ordinances in 2020 and participated in the Smart City Local Council. In the future, Gyeonggi privincial government will propose amendments to the law, review participation in the central government smart city policy project, the "integrated platform construction project of the metropolitan government model", and propel Gyeonggi-do's own smart city policy based on the blind spots of the policy.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.269-278
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• 2022

Recently, the travel and lodging industries have been suffering from the spread of COVID-19. But Airbnb recovered its profits with a differentiated strategy. This study identified the characteristics of Airbnb and examined their effects on customer's revisit intention in the Airbnb context. Perceived value, trust about Airbnb, and social norms were considered as the key factors of revisit intention. In addition, the effects of relative attractiveness, brand identification, and enjoyment on perceived value and trust about Airbnb were examined. The proposed research model was tested based on 285 consumers who had Airbnb experience more than twice. The analysis results showed that relative attractiveness, brand identification, and enjoyment had a significant influence on perceived value and trust. Perceived value had a significant influence on revisit intention. However, trust about Airbnb and social norms did not significantly affect revisit intention. Moreover, ths analysis results found no significant moderating effect of share of wallet. Based on the results of this study, Airbnb would establish effective marketing and operation strategies by understanding the formation mechanism of consumer's revisit intention toward Airbnb.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.185-192
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• 2022

This study investigates the effect of the semi-supervised learning(SSL) method on predicting default risk of peer-to-peer(P2P) loans. Despite its proven performance, the supervised learning(SL) method requires labeled data, which may require a lot of effort and resources to collect. With the rapid growth of P2P platforms, the number of loans issued annually that have no clear final resolution is continuously increasing leading to abundance in unlabeled data. The research data of P2P loans used in this study were collected on the LendingClub platform. This is why an SSL model is needed to predict the default risk by using not only information from labeled loans(fully paid or defaulted) but also information from unlabeled loans. The results showed that in terms of default risk prediction and despite the use of a small number of labeled data, the SSL method achieved a much better default risk prediction performance than the SL method trained using a much larger set of labeled data.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.292-300
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• 2022

This study aims to improve the situation in which accurate job information for small and medium-sized enterprises is not known and it is difficult to identify jobs that meet the preference criteria from the perspective of the 'employer brand'. To this end, through a hierarchical regression analysis of 700 young job seekers, the factors affecting the intention to get a job centered on five value factors (Interest Value, Social Value, Economic Value, Development Value and Application Value) were identified by reflecting the brand categorization theory. As a result of the analysis, it was confirmed that young job seekers are more interested in work culture, environment, and utilization of their majors, which directly affect job seekers, rather than characteristics of companies such as talent development, products, services, and management, and are influenced by their intention to work. This suggests that the job policy for SMEs needs to be changed from the existing quantitative support-centered to a qualitative improvement that strengthens the use of platform-centered job information.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.1-11
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• 2021

NC Soft will continue to dream of an entertainment innovation world where customers are connected through game and contents. NC Soft images an expansion in entertainment industry which open doors to the future of enjoy break through innovative online game and creative AI & IT technologies, focused on new business opportunities that are solely NC's own. This study starts with the implication on why focusing on exploration innovation and exploitation strategy at the same time in NC Soft is so challenging. NC Soft manages to their online & mobile gaming competencies in the long term and achieves their sustainable growth by incremental innovation (e.g. game planning, game programming, and graphic design). Also, for innovative success, pursuing exploration strategy is essential. NC Soft have built a strategic alliance spanning K-POP, digital contents platform, movie, and animation, sharing the connectivity of entertainment domains with major contents corporations. The findings of this study would also beneficial to entertainment and contents corporation executives and could provide some road-map on managing the dual challenges of exploration and exploitation implementations.

• The Journal of Korean Physical Therapy
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• v.34 no.5
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• pp.212-217
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• 2022

Purpose: This study sought to investigate the effects of visual cue deprivation balance training by applying head control feedback to the balance function and the fall index in older people. Methods: The study was conducted on 26 older people at the S Hospital in Gyeongsansi. The patients were randomly divided into the experimental groupI (EGI, n=9), the experimental groupII (EGII, n=9), and the control group (CG, n=8). The three groups were trained for 30 minutes three times a week for four weeks. To assess the patients' static balance function, their limits of stability (LOS) was measured using the BioRescue system, (RM Ingenierie, France), composed of a pressure platform that can measure force in diverse ways, a computer, and a monitor. The dynamic balance function was measured using the Berg Balance Scale (BBS). Also, the fall index was measured to evaluate the risk of falling. A paired t-test was performed to compare pre- and post-training performance within the groups. One-way ANOVA was performed for comparing the three groups. A post hoc least significant difference (LSD) test was also performed. Results: The results of the LOS showed a significant difference after training in the EGI and EGII groups (p<0.05). As a result of the difference between the three groups, there was a significant difference after training (p<0.05). The results of the BBS showed a significant difference after training in the EGI group (p<0.05). As a result of the difference between the three groups, there was a significant difference after training (p<0.05). Conclusion: Visual cue deprivation balance training applying head control feedback is effective in improving the dynamic balance function in older people. It is also necessary to constantly maintain the head orientation by feedback and to properly control the head movement.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.85-94
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• 2022

Recently, consumers who prefer contactless consumption are increasing due to pandemic trends such as Corona 19. This is the driving force for developing the last mile-based logistics ecosystem centered on the online e-commerce market. Lastmile led to the continued development of the logistics industry, but increased the amount of cargo in urban area, and caused social problems such as overcrowding of logistics. The courier service in the logistics base area utilizes the process of visiting the delivery site directly because the courier must precede the loading work of the cargo in the truck for the delivery of the ordered product. Currently, it's carried out as automated logistics equipment such as conveyor belt in unloading or classification stage, but the automation system isn't applied, so the work efficiency is decreasing and the intensity of the courier worker's labor is increased. In particular, small-scale courier workers belonging to the sub-terminal unload at night at underdeveloped facilities outside the city center. Therefore, the productivity of the work is lowered and the risk of safety accidents is exposed, so robot-based loading technology is needed. In this paper, we have derived the top-level concept and requirements of robot-based loading system to increase the flexibility of logistics processing and to ensure the safety of courier drivers. We defined algorithms and motion concepts to increase the cargo loading efficiency of logistics sub-terminals through the requirements of end effector technology, which is important among concepts. Finally, the control technique was proposed to determine and position the load for design input development of the automatic conveyor system.

• Smart Media Journal
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• v.11 no.8
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• pp.9-20
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• 2022

With the rise of the metaverse industry worldwide, relevant national strategies and nurturing systems have been prepared in Korea. As the complexity of policies increases, the importance of establishing data-based policymkaing is growing, and studies diagnosing national R&D trends in the metaverse field are still lacking. Therefore, this paper collected NTIS national R&D information for 9,651 R&D projects promoted from 2002 to 2020. And this study looked at the current status and identified major topics based on the topic modeling, and considered time-series changes in the topics. Eleven major topics of R&D tasks in the metaverse field were derived, hot topics were service/content/platform development and medical/surgical fields of application fields, and cold topics were urban/environment/spatial information fields. Strategic R&D Management, metaverse-related laws, and institutional studies were proposed as policy directions.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.341-348
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• 2021

This study identified learners' immersion, focusing on online video education platforms, Zoom and Webex, used in colleges after the 'Covid-19', and suggested design improvement measures to improve immersion. Through prior research and literature research, the components of immersion and screen components of the online distance education platform were identified, and measures to improve immersion were suggested through questionnaire surveys and in-depth interviews. The research method was conducted for 5 days from April 7 to 12, 2021 for 50 college students and graduate students in their 20s and 30s who are receiving online education through Zoom and Webex, and 6 people were interviewed in-depth. As a result of the experiment, the communication between learners and lecturers was deduced as the biggest factor, so a design plan to facilitate communication between learners and lecturers was proposed based on Gutenberg's diagram. As online video education is predicted to continue even after the Covid-19, continuous online video education immersion research is needed, and we hope that it can contribute to the direction of the research.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.275-283
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• 2021

This study was intended to help improve assessment in college EFL classes by examining the relationship between formative assessment (FA) and summative assessment (SA). Participants for the study were 75 undergraduates, taking an eight-week optional college English course at a four-year college in China. FA data were collected in the final course of the course by a self-reporting survey using the online training platform Mosoteach. To achieve the finding, the relationship between FA scores and SA scores (final exam and performance scores) was analyzed in SPSS by means of Pearson correlation analyses. Significant positive correlations were found between FA and SA scores overall. In addition, students' performance on chapter tests, online discussions, brainstorming, quick-responses, assignments and the number of thumbs-up clicks by teachers were significantly correlated with SA scores. The results suggested that FA administered through the Mosoteach app could improve students' academic performance, thus providing an empirical basis for improving educational assessment. Based on these findings, implications for assessment in EFL classes were described.