• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.1
• /
• pp.125-132
• /
• 2024

The purpose of this study is to discover a drone utilization model tailored to local characteristics, propose directions for building a drone demonstration city based on demand surveys for drone activation, and suggest ways to utilize and support a drone application system. First, according to the survey results, there was a high understanding of and necessity for drone demonstration projects, particularly in addressing urban issues, which were deemed to have a significant impact. Second, based on the analysis of priorities and short- and long-term approaches, disaster-related tasks were evaluated as a priority, requiring an approach through medium- to long-term strategies. Third, it was noted that budgetary considerations emerged as the most critical issue during project implementation. Practitioners and experts expressed willingness to actively introduce drone-based technologies into their work when budget and technology were ready. Budgetary constraints were identified as the most significant obstacle to proper implementation, emphasizing the need for resolution. Fourth, the necessity of demand surveys during project development was identified in certain areas. Demand surveys were deemed essential for drone-based demonstration city construction, and a survey indicated that public leadership in this regard was also necessary. Fifth, concerning approaches in specific areas, the field of safety and disaster management was highlighted as the most crucial for application.

• Information Systems Review
• /
• v.21 no.4
• /
• pp.47-68
• /
• 2019

As cloud services and deployment models become diverse, there are a growing number of cloud computing selection options. Therefore, financial companies need a methodology to select the appropriated cloud for each financial computing system. This study adopted the Balanced Scorecard (BSC) framework to classify factors for the introduction of cloud computing in financial companies. Using Analytic Hierarchy Process (AHP), the evaluation items are layered into the performance perspective and the cloud consideration factor and a comprehensive decision model is proposed. To verify the proposed research model, a system of financial company is divided into three: account, information, and channel system, and the result of decision making by both financial business experts and technology experts from two financial companies were collected. The result shows that some common factors are important in all systems, but most of the factors considered are very different from system to system. We expect that our methodology contributes to the spread of cloud computing adoption.

• Information Systems Review
• /
• v.20 no.1
• /
• pp.137-158
• /
• 2018

Online platforms recently expanded their connectivity through an authing service. The growth of authing services enabled consumers to enjoy easy log in access without exerting extra effort. However, multiple points of access increases the security vulnerability of platform ecosystems. Despite the importance of balancing authing service and security, only a few studies examined platform connectivity. This study examines the optimal level of authing service of a platform and how authing strategies impact participants in a platform ecosystem. We used a game-theoretic approach to analyze security problems associated with authing services provided by online platforms for consumers and other linked platforms. The main findings are as follows: 1) the decreased expected loss of consumers will increase the number of players who participate in the platform; 2) linked platforms offer strong benefits from consumers involved in an authing service; 3) the main platform will increase its effort level, which includes security cost and checking of linked platform's security if the expected loss of the consumers is low. Our study contributes to the literature on the relationship between technology convenience and security risk and provides guidelines on authing strategies to platform managers.

• The Korean Journal of Archival Studies
• /
• no.79
• /
• pp.33-82
• /
• 2024

Interest in ESG management, which spread through the UN PRI in 2006, has recently spread throughout our society. Consumers use a company's activeness in the ESG field as the standard of consumption behavior, and the international community is reorganizing and strengthening various regulatory measures. In the investment market, non-financial performance (ESG information) is used as an important investment indicator along with financial performance (credit rating). Due to these changes in the corporate evaluation paradigm and market pressure, if a company neglects ESG response activities, it is more likely to be excluded from market selection, and accordingly, the importance of ESG management is also increasing. Companies are making various efforts to secure legitimacy in response to these market pressures, but in the process, it is difficult to systematically manage and utilize records/data that are the basis for ESG management. For a basic understanding of ESG management, this paper summarizes the emerging process of ESG and the current ESG-related regulations applied to companies. Through this, it can be seen that ESG management is not carried out with the good will of the company, but is accepted as a management strategy for the survival of the company according to the change in the corporate evaluation paradigm. Through interviews with the company's ESG-related personnel, the company's ESG response process was divided into passive communication and active communication, and the problems identified during the interview were summarized for each communication type. In addition, in the process of passively and actively communicating ESG management information with internal and external stakeholders, the possibility that ESG archives can function as a tool to overcome problems for each communication type was raised, and five types of ESG archives that can play this role were presented.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.27 no.1
• /
• pp.52-66
• /
• 2024

The purpose of this study is to identify the spatial system and characteristics of the urban center by deriving the boundaries of the urban center set in the urban basic plan for Busan Metropolitan City and diagnosing the role and status of the center. To this end, four indicators representing the characteristics of the center were selected through a review of previous studies, and the boundaries of the center were derived using spatial statistical techniques with strengths in geographical boundary analysis. Then, using the indicators of center characteristics and population potential functions, we diagnosed the influence and potential of each center in the spatial structure of Busan Metropolitan City. The analysis showed that the scale of the centers varies greatly, and the unutilized areas where commercial areas are not activated and the expansion areas that spread beyond commercial areas to residential and industrial areas are different for each urban center. The results of the potential measurement, which indicates the attractiveness of the center, also showed areas with strong and weak population potential. Therefore, systematic management and strategies based on the hierarchical characteristics and influence measurement results are needed to strengthen the function of urban centers. The results analyzed in this study can be used as a resource for responding to various urban planning needs and policy changes in the future, along with station area development plans and spatial innovation zones for building a sustainable urban growth system, balanced development, and strengthening the function of centers.

• Journal of Venture Innovation
• /
• v.7 no.2
• /
• pp.1-17
• /
• 2024

This study analyzed the effect of moving into an industrial park on the performance of a company using data from individual companies. In addition, regional variables were additionally set, and industrial complexes were divided into metropolitan and non-metropolitan areas for comparison. Data were collected through KIS-2022 (manufacturing) to verify the hypothesis. In the case of the analysis method, multiple regression analysis and Propensity Score Matching(PSM) were first used. The analysis results are as follows. First, it was found that companies that moved into industrial park had a positive effect on innovation performance than companies that did not move in. Second, in terms of financial performance, there was no statistically significant difference between companies that moved into the industrial park and those that did not. Third, there was a significant difference between companies that moved into industrial park and those that did not, depending on the metropolitan and non-metropolitan areas. Based on these analysis results, policy and academic implications could be presented.

• Journal of Internet Computing and Services
• /
• v.25 no.5
• /
• pp.95-105
• /
• 2024

With the recent adoption of AI by various clothing shopping platforms and related industries to meet consumer needs and enhance purchasing power, the necessity for accurate classification of clothing categories and colors has surged. This paper aims to address this issue by developing a deep learning model that classifies various clothing items and their colors within a single image using buyer review images. After directly crawling buyer review image data and performing various preprocessing steps such as data augmentation, we utilized the YOLOv10 model to detect clothing objects and classify them into categories. Subsequently, to improve color extraction, we implemented a cropping method to isolate clothing regions in the images and calculated the similarity with a color chart to extract the most similar color names. Our experimental results show that our approach is effective, with performance increasing with model size and augmentation scale. The employed model showed stable performance in both clothing category and color extraction, proving its reliability. The proposed system not only enhances customer satisfaction and purchasing power by accurately classifying clothing categories and colors based on user review images but also lays the foundation for further research in automated fashion analysis. Moreover, it possesses the scalability to be utilized in various fields of the related industry, such as fashion trend analysis, inventory management, and marketing strategy development.

• Korean Journal of Environmental Biology
• /
• v.42 no.3
• /
• pp.219-231
• /
• 2024

This study applied a camera trapping method to investigate species diversity of birds and mammals in Jingwan-dong Wetland located in Bukhansan National Park, Seoul, Korea. The objectives of this study were to (1) verify the efficiency of the camera trapping method through a combination of literature and observation surveys, and to (2) propose it as an effective monitoring method to assessing changes in biodiversity. From February 2022 to June 2022, a total of six cameras were installed for 121 days to conduct camera trapping in three aquatic environments. As a result, a total of 14,742 videos were obtained with a data acquisition rate of 59.2%. Analysis of the data identified a total of 20 families and 47 species of birds with 7 families and 8 species of mammals. When previous field observation data compiled from the past 10 years starting from 2011 were analyzed, a total of 33 families and 90 species of birds with 5 families and 6 species of mammals were identified. Camera trapping in Jingwan-dong Wetland recorded species list, including 3 families and 3 species of bird and 2 families and 2 species of mammal not observed in the past decade. Thus, camera trapping, which complements temporal limitations of field survey, can be an effective monitoring method for rapidly changing biodiversity if spatial limitations are improved. Resulting species lists can serve as a basis for future restoration and management plans.

• Journal of Korea Port Economic Association
• /
• v.40 no.3
• /
• pp.61-78
• /
• 2024

This study centered on labor demand between ship officers and ratings in the maritime sector, focusing on human capital theory. Ship officers bear the primary responsibilities in ship operations, including navigation, compliance with safety procedures, crew and resource management, and strategic decision-making, necessitating high levels of education and experience. Conversely, ratings execute various tasks aboard ships under the guidance of officers, contributing to daily operations. Using a multifactor Cobb-Douglas production function, the study evaluated the productivity of ship officers and ratings and analyzed the segmentation of their respective labor markets. The analysis revealed that globalization did not significantly impact either ship officers or ratings. However, technological advancements notably adversely affected the labor demand for ratings, highlighting its role in widening wage gaps and exacerbating job insecurity among less skilled workers within broader economic and social contexts. The study concludes by emphasizing the need for appropriate employment policies responsive to fluctuations in labor demand for ship officers and ratings due to economic changes. It also underscores the importance of flexible responses to the impacts of technological progress on different job sectors, advocating for policy approaches that prioritize worker education and training.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.4
• /
• pp.1-15
• /
• 2024

We have made significant efforts to deeply investigate and analyze the success factors of small business owners, who play a crucial role in modern society, to gain a clear understanding of the factors that affect their business performance. We set the management capabilities of small business owners, the utilization of government support services, and policy support funds as the main variables. Our research has discovered that the management capabilities of small business owners and government support services positively influence their business performance. This means that small business owners can enhance their business performance by strengthening their capabilities and efficiently utilizing government support services. The utilization of policy support funds showed a moderating effect only on the impact of government support services on financial performance, but not on other business performances. This suggests that while the utilization of policy support funds is necessary, it is not sufficient by itself and needs to work in combination with other variables to see effectiveness. Our research proposes a new direction for the success of small business owners. Through this research, small business owners and related policy decision-makers can gain deep insights into the factors that influence the business performance of small business owners and how to effectively manage and utilize these factors. This research has made a significant contribution to academic research on business management and small business owners. Through a deep understanding of the success factors of small business owners, we have proposed new research directions and strategies that can help improve their business performance. These efforts will take us a step further in enhancing the social and economic value of small business owners.