• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.183-199
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• 2022

With the consumption of smart phone content increasing rapidly, the short clip market in China is rapidly growing. TikTok, a short clip platform, has achieved great business success. However, there is not much research done on TikTok platform from the customers' perspective. To this end, this study aimed to verify the relationship between the social network characteristics on the TikTok platform, attachment toward the TikTok platform, user participation, social identity, psychological distance and reuse intention through an empirical investigation. In August 2021, a survey was conducted on consumers on the subject of TikTok platform in China. The results of the study are as follows. First, the social network characteristics significantly affected the user participation and the attachment. Second, both the attachment and the user participation had a significant impact on reuse intention. Third, user participation had a significant impact on attachment. Fourth, social identity played a significant moderating role in the relationship between social network characteristics and user participation. Fifth, Psychological distance played a significant moderating role in the relationship between social network characteristics and attachment. The results of this study are expected to provide theoretical and practical implications for research on TikTok platform.

• Resources Recycling
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• v.31 no.4
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• pp.3-11
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• 2022

Owing to the increasing demand for electric vehicles (EVs), appropriate management of their waste batteries is required urgently for scrapped vehicles or for addressing battery aging. With respect to technological developments, data-driven diagnosis of waste EV batteries and management technologies have drawn increasing attention. Moreover, robot-based automatic dismantling technologies, which are seemingly interesting, require industrial verifications and linkages with future battery-related database systems. Among these, it is critical to develop and disseminate various advanced battery diagnosis and assessment techniques to improve the efficiency and safety/environment of the recirculation of waste batteries. Incorporation of lithium-related chemical substances in the public pollutant release and transfer register (PRTR) database as well as in-depth risk assessment of gas emissions in waste EV battery combustion and their relevant fire safety are some of the necessary steps. Further research and development thus are needed for optimizing the lifecycle management of waste batteries from various aspects related to data-based diagnosis/classification/disassembly processes as well as reuse/recycling and final disposal. The idea here is that the data should contribute to clean design and manufacturing to reduce the environmental burden and facilitate reuse/recycling in future production of EV batteries. Such optimization should also consider the future technological and market trends.

• Journal of Korea Port Economic Association
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• v.38 no.3
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• pp.69-86
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• 2022

This study analyses the necessity of the large-size shipyard and explores competitiveness factors of it. Furthermore, the competitiveness is evaluated and the economic feasibility of building and operation of shipyard is examined. As a result of AHP analysis of the determining factors of the competitiveness of the repairing shipyard, the importance of the factors was found in the order of arrival and departure safety, repair technology, dock and wharf facilities, repair cost, repair period (on time delivery), and repair parts supply. Moving distance, repair service quality, repair parts supply, arrival and departure safety, repair technology, dock and quay wall facilities, and repair period (on time delivery) were identified as key factors in the AHP analysis for competitiveness of the Busan Port repair shipyard to be built in the future. As a result of the analysing economic feasibility, the net present value of the Busan Port repair shipyard construction and operation investment project was KRW 435.6 billion, and the internal rate of return was 9.8%, higher than the social discount rate (4.5%), and the cost-benefit ratio (B/C) was high at 1.167. As a result of the study, the necessity and economic feasibility of the Busan Port repair shipyard are sufficiently ensured, and the competitiveness assessment was highly positive.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.99-109
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• 2022

The purpose of this study is to verify the effect of experiential economy factors using metaverse on the intention to accept advertisements reflecting new technologies. The subjects of this study were those located in G Metropolitan City and J Province, and those who experienced metaverse. From August 1 to September 10, 2022, 150 people participated in the survey without face-to-face. Analysis methods were frequency analysis, factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and three-step mediated regression analysis. The conclusion is as follows. First, the influence of metaverse experience on advertisement acceptance intention was shown in the order of relational experience, educational experience, and escapist experience. Second, it was found that the relational and educational experiences of metaverse partially mediate metaverse usefulness and affect the advertisement acceptance intention. Third, it was found that the relational and educational experiences of the metaverse partially mediate the metaverse presence and affect the advertisement acceptance intention. Also, it was found that the metaverse's escapist experience completely mediates the metaverse's presence and affects the advertisement acceptance intention. Fourth, it was found that the escapist experience of metaverse completely mediates the ease of use of metaverse and affects the advertisement acceptance intention. It is expected that this study will contribute to the construction of a new platform in the advertising market using various platforms of metaverse.

• Korean small business review
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• v.42 no.4
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• pp.213-234
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• 2020

This study investigates the impact of supply chain collaboration on performance in social economy in Korea. Collaboration is an effective method to overcome the disadvantages of newness and smallness of domestic social economy organizations. Nevertheless, most research on social economy examined conceptual relationship between collaboration and performance. Hence, this study focuses on empirically demonstrating the relationship between supply chain collaboration and performance in social economy. We identify two steps of supply chain collaboration structure, i.e., collaboration culture and collaboration implementation, and establish a research model to analyze the impact of collaboration of social economy organization on performance. Based on responses to a survey of 99 social economy organizations, we test the hypotheses in the theoretical model using PLS structural equation modeling. The result shows that both the effect of collaboration culture on collaboration implementation and the effect of collaboration implementation on performance are significant. This study contributes to the social economy literature by empirically investigating the impact of collaboration in social economy organizations on performance based on supply chain theories, and by expanding the application scope of supply chain theories to social economy organizations.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.375-388
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• 2021

This study aims to contribute to the understanding of consumer behavior during the COVID-19 by comparing blog reviews of an over-the-top (OTT) online video service from before and during the pandemic. We anticipate that the COVID-19 outbreak prompts the use of the OTT service as part of an emotion-focused coping strategy derived from the loss of personal control and the subsequent avoidance motivation. We also posit that a strong yearning for life before COVID-19 will increase interest in the content that fulfills a need for nostalgia. Our analysis of Netflix reviews provides empirical evidence of the effects of an emotion-focused coping strategy and nostalgia on OTT service usage. First, the titles of the reviews posted during COVID-19 indicate that consumers were less likely to mention OTT services other than Netflix, more interested in domestic content, and used OTT services as an avoidance-denial strategy. Second, the blog content demonstrates that while pre-COVID reviews tend to focus on the practical benefits of OTT services, those posted during the pandemic focus on mood, emotions, and dialogue. In addition, interest in comedy and romance genres increased during COVID-19. Third, we identified a greater preference for realistic or everyday content that depicted the pre-pandemic era. This is the first empirical study to investigate the effects of COVID-19 on video streaming usage in Korea. In addition, this research contributes to the field of marketing by expanding our understanding of online video service users during COVID-19 and identifies practical implications for OTT services in the midst of a pandemic.

• Land and Housing Review
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• v.13 no.2
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• pp.91-115
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• 2022

This study examines changes in business survival rates in a gentrified commercial district by comparing early movers with late entrants. Using the Hongik University Commerical District, or Hongdae, as a case study, we adopt discrete-time survival analysis to compare survival rates between businesses established before 2000 (early movers) and ones established after 2000 (late arrivers). We compare the business survival patterns in a gentrified commercial district (experimental group) to non-gentrified commercial districts (control group) in Mapogu. We examine a survival-rate difference between early movers and late arrivers by different industrial categories. We finally examine a survival-rate gap between franchise and non-franchised businesses. The results show that the early movers have lower survival rates than the late arrivers in the gentrified Hongdae area, whereas there is no significant difference in survival rates between the early movers and the late arrivers in Mapogu. The early movers in daily-life-supporting businesses in Mapogu have even higher survival rates than the late-arrivers. In addition, franchised businesses have higher survival rates than non-franchised stores both in Hongdae and Mapogu. The results provide statistical and comprehensive evidence of the displacement of early movers at a more rapid pace in gentrified areas than non-gentrified aveas, which has been an anecdotal narrative.

• Food Science and Industry
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• v.55 no.1
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• pp.23-32
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• 2022

Processed foods using food additives designated as the other countries but not yet in Korea can be mixed and distributed among imported foods in Korea. Accordingly, it is necessary to develop an analysis method of undesignated food additives in order to continuously monitor. This paper introduced a study on the development and validation of analytical methods conducted in academia. The development of analytical methods was conducted using the analytical methods presented in previous studies. We first exhibited that simultaneous analysis of 12 food dyes was easy to reproduce, but the second introduced analytical method of emulsifiers cannot be utilized analysis using expensive equipment not provided in general laboratories, and it is difficult to reproduce due to the old publications. Therefore related national institutions, research and industry-academia circles need to constantly conduct research on the development of analytical methods for undesignated food additives.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.219-228
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• 2022

In order to improve audit quality, it is essential to understand the occurrence of disagreement between auditors and managers, and this study aims to analyze the impact of Business Strategies on audit risk and accounting audit delay. To this end, we conducted an empirical analysis using sample 2,910 firm-year data from 2018 to 2020 of KOSPI-listed and KOSDAQ-listed companies. The results of the empirical analysis of this study are as follows. First, compared to the companies of defender type, prospectors can expand audit procedures for new products, R&D costs, and intangible assets, and increase audit delays due to disagreement between managers and auditors. Second, compared to KOSPI-listed companies, the prospectors in KOSDAQ are more likely to have lower financial reporting quality, which further increases audit delays. The results of this study analyzed whether a company's Business Strategy affects the possibility of disagreement between an auditor and a company, and verified whether there is a difference in the audit report lag by stock market. The results of this study show that auditors' strong duty of care is needed for the companies of prospector type with high audit risk, and it is meaningful to present reinforced audit systems and specific guidelines for the companies of prospector type through the definition of prospector type. It also enables the expansion of research to identify the relationship between non-financial factors and audit risks that make up the companies of prospector type.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.41-63
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• 2023

As the online e-commerce market growing, the need for a recommender system that can provide suitable products or services to customer is emerging. Recently, many studies using the sentiment score of online review have been proposed to improve the limitations of study on recommender systems that utilize only quantitative information. However, this methodology has limitation in extracting specific preference information related to customer within online reviews, making it difficult to improve recommendation performance. To address the limitation of previous studies, this study proposes a novel recommendation methodology that applies deep learning technique and uses various linguistic factors within online reviews to elaborately learn customer preferences. First, the interaction was learned nonlinearly using deep learning technique for the purpose to extract complex interactions between customer and product. And to effectively utilize online review, cognitive contents, affective contents, and linguistic style matching that have an important influence on customer's purchasing decisions among linguistic factors were used. To verify the proposed methodology, an experiment was conducted using online review data in Amazon.com, and the experimental results confirmed the superiority of the proposed model. This study contributed to the theoretical and methodological aspects of recommender system study by proposing a methodology that effectively utilizes characteristics of customer's preferences in online reviews.