• Convergence Security Journal
• /
• v.22 no.4
• /
• pp.85-97
• /
• 2022

With the development of big data technology, data is rapidly entering a hyperconnected intelligent society that accelerates innovative growth in all industries. The convergence industry, which holds and utilizes various high-quality data, is becoming a new growth engine, and big data is fused to various traditional industries. In particular, in the medical field, structured data such as electronic medical record data and unstructured medical data such as CT and MRI are used together to increase the accuracy of disease prediction and diagnosis. Currently, the importance and size of unstructured data are increasing day by day in the medical industry, but conventional data security technologies and policies are structured data-oriented, and considerations for the security and utilization of unstructured data are insufficient. In order for medical treatment using big data to be activated in the future, data diversity and security must be internalized and organically linked at the stage of data construction, distribution, and utilization. In this paper, the current status of domestic and foreign data security systems and technologies is analyzed. After that, it is proposed to add unstructured data-centered de-identification technology to the guidelines for unstructured data and technology application cases in the industry so that unstructured data can be actively used in the medical field, and to establish standards for judging personal information for unstructured data. Furthermore, an object feature-based identification ID that can be used for unstructured data without infringing on personal information is proposed.

• Journal of Information Processing Systems
• /
• v.12 no.1
• /
• pp.169-181
• /
• 2016

Organizations in some industries are still hesitant to adopt the Enterprise Resource Planning (ERP) system due to its high risk of failures. This study examined how industry classification affects the successful implementation of the ERP system. To achieve this goal, we reinvestigated the existing ERP Success Model that was developed by Chung with the data from various industry sectors, since Chung validated the model only in the engineering and construction industries. In order to test to see if the Chung model can be applicable outside the engineering and construction industries, the relationships between the ERP success indicators and the critical success factors in the Chung model and those in the sample data collected from ten different industry sectors were compared and investigated. The ten industry sectors were selected based on the Global Industry Classification Standard (GICS). We found that the impact of success factors on the success of implementing an ERP system varied across industry sectors. This means that the success of ERP system implementation can be industry-specific. Thus, industry classification should be considered as another factor to help IT decision makers or top-management avoid ERP system failures when they plan to implement a new ERP system.

• Journal of Information Technology Applications and Management
• /
• v.22 no.2
• /
• pp.201-217
• /
• 2015

In this paper, we report computational testing result to examine the validity of firm's bankruptcy risk estimation through quantification of supply chain risk. Supply chain risk in this study refers to upstream supply risk and downstream demand risk, To assess the firm's risk affected by supply chain risk, we adopt unit of analysis as industry level. since supply and demand relationships of the firm could be generalized by the industry input-output table and the availability of various valid economic indicators which are chronologically calculated. The research model to estimate firm's risk level is the linear regression model to assess the industry bankruptcy risk estimation of the focal firm's industry with the independent variables which could quantitatively reflect demand and supply risk of the industry. The publicly announced macro economic indicators are selected as the candidate independent variables and validated through empirical testing. To validate our approach, in this paper, we confined our research scope to steel industry sector and its related industry sectors, and implemented the research model. The empirical testing results provide useful insights to further refine the research model as the valid forecasting mechanism to capture firm's future risk estimation more accurately by adopting supply chain industry risk aspect, in conjunction with firm's financial and other managerial factors.

• Journal of Korean Society for Quality Management
• /
• v.52 no.3
• /
• pp.529-543
• /
• 2024

Purpose: As part of the government's national policy agenda, one of the key initiatives in the Rural Convergence Industry is the selection and cultivation of certified operators. This study aims to specifically analyze the business performance of certified operators, first selected in 2015, based on their characteristics, and to propose improvement measures for the Rural Convergence Industry based on the analysis results. Methods: Data were collected from the certification (renewal) records of the Gyeongnam Sixth Industry Support Center from 2015 to 2023. The R program (R Core Team 2023) was used for data analysis. Results: The performance and role of certified operators are receiving attention to spread and increase awareness of the Rural Convergence Industry. While the location, gender of the representative, type of certified operator, type of convergence industry (6th industry), and main product did not have statistically significant effects on the sales and job changes of certified operators, the sales growth rate according to the management period of certified operators was found to have a statistically significant effect. Conclusion: It was observed that the longer the management period of the certified operator, the more sales increased, with a significant rise in sales growth rate at the early stage of the certified operator. This suggests that to revitalize and successfully promote the Rural Convergence Industry, it is necessary to strengthen the operator certification system and continuously implement various projects to enhance the capabilities of certified operators.

• KIPS Transactions on Computer and Communication Systems
• /
• v.9 no.8
• /
• pp.181-188
• /
• 2020

The fisheries industry is rapidly shifting from a traditional fishery to aquaculture paradigm and it faces various problems such as depletion of fishery resources and aging of fishing villages. We need the establishment of a fisheries big data platform that includes both the data of the central and surrounding industries of the fisheries industry for enhancement of establishment of a fisheries, 6th industrialization of fishing villages, establishment of related technical standards, and discovery of the new industries to overcome this. Data center agencies should collect, link, and pre-processing, and the platform organizer should create a water industry data virtuous circle through the establishment, operation, and data market of big data platforms to help overcome the current crisis, secure smart fisheries hegemony, and use it as a key to value transfer. Through this study, I would like to propose a policy and technical big data platform construction plan to successfully promote it.

• The Journal of the Korea Contents Association
• /
• v.20 no.6
• /
• pp.470-481
• /
• 2020

Cultural industry's role in national economic growth has increased gradually and drawn increasing attention due to the immense window effect on other industries. Especially, China has fully pushed forward with the development of cultural industry to sophisticate industrial structure since the 2000's. In Korea, the cultural industry has played the leading role in the national economic growth through intensive investment relatively early compared with China. Under the circumstance, this study compared the cultural industry efficiency between China and Korea to examine cultural industry's impact on economic growth and its potentials. The greatest difficulty in comparing the cultural industry efficiency between China and Korea is the development of comparable statistical data. This study chose the number of businesses and the number of employees as the input variables for efficiency analysis and the sales of cultural industry, the output variable. Also, the efficiency was comparatively analyzed through DEA-Malmquist index. Integrated DB about local governments and basic data from KOSIS were used for Korean data and the National Bureau of Statistics of China's data were used for Chinese data. The analysis period was set to 2013-2017. According to analysis, the Malmquist index for Korea was 1.048 and China, 1.041. In other words, Korea improved the efficiency by 4.8% during the analyzed period and China, 4.1%. This result can be attributed to the fact that the cultural industry in Korea was reaching maturity during this period while the cultural industry in China was entering the growth period.

• Asia-Pacific Journal of Business
• /
• v.12 no.4
• /
• pp.227-240
• /
• 2021

Purpose - The purpose of this study is to compare and analyze the ordinances of local government in Korea to provide improvement plans for the ordinances of Drone industry. To this end, all Drone ordinances in Korea were reviewed. Design/Methodology/Approach - In this study, literature research methods were mainly used for the analysis. Furthermore, it was based on domestic laws and ordinances of local government, and preceding research data regarding government policies. Findings - Based on the analysis of domestic drone industry ordinances, the enactment of drone industry ordinances by local governments was rapidly increasing. In addition, it was urgent to enact ordinances for the use and support of drones in each region. The implication that it is necessary to subdivide the contents according to the characteristics of each region was drawn. In most of the ordinances, provisions on the basic plan and implementation plan of the drone industry could not be found. It was found that it was necessary to foster an efficient drone industry through the establishment and operation of short-term and long-term plans. Implications were drawn that it is necessary to revitalize the drone industry and expand the drone use industry. Research Implications or Originality - This paper suggest the establish an ordinance for utilizing and supporting Drone industry. Additionally, establishment of suitable ordinance for regional characteristics is needed. In future research, detailed data on Yeongwol's Drone industry based on survey should be derived. Moreover, the development plan and implication for drone industry should be derived through analysis of the survey data.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.7
• /
• pp.31-38
• /
• 2016

In this paper, we propose a direction for improving 'Geospatial information open platform' service to support the converged and integrated geospatial information. Since there can be a number of issues relating to the support for geospatial information convergence industry, two qualitative surveys were performed to collect opinions comprehensively and specifically. The responses from 165 experts from 5 areas that use geospatial information were used, and the requirements of demanders were divided into the aspect of policy, aspect of data development and distribution, and aspect of data utilization support in order to effectively analyze the survey results. As a result, a total of 26 major issues were derived and it was deemed that it is necessary to find a way to expand the role of 'Geospatial information open platform' from "Open-API Oriented Passive Spatial Information Open Platform" to "Platform that Comprehensively Provides Active Convergence Support Information" order to resolve the issues derived.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.9 no.3
• /
• pp.31-38
• /
• 2013

The evolution of the Web from Web 1.0 to Web 2.0 has brought up new platforms as SNSs(Social Network Service) that are used by users to articulate and manage their relationships. SNSs are an online phenomenon which has become extremely popular. A SNS essentially consists of a representation of each user, his/her social links, and a variety of additional services. SNSs are increasingly attracting the attention of academic and industry researchers. What makes SNS unique is that they have a relationship with friends. The friend recommendation is one important feature of social networking services. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose an efficient data processing method for social data. We study previous researches about social score in social network service. Our ESS(Efficient Social Score) is computed by both friendship weight and score of a document that was tagged by a user's friends. Our experimental results also confirm that our method has good performance.

• Journal of Korea Society of Industrial Information Systems
• /
• v.10 no.4
• /
• pp.128-136
• /
• 2005

The use of technology is increasing within the service industry, but there is some doubt as to whether the benefits of employing this technology have been efficiently harnessed such as data mining. Data mining is the process of extracting certain predictive information from databases that can evolve from currently used restaurant management systems. The potential of harnessing this predictive information can have an enormous impact on the restaurant's operation on the whole, particularly in the area customer retention and competition. Since there is insufficient literature on the use of data mining in the restaurant industry, this study is both seminal and investigative, done via a Delphi survey to explore and describe the current and future applications of this process.