• Title/Summary/Keyword: 복합자산

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Types of Video Content for SMEs' Digital Marketing (중소기업 디지털 마케팅을 위한 영상 콘텐츠 유형 연구)

  • Jung, Hoe-Kyung;Lee, Sung-Mi
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.441-446
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    • 2018
  • The purpose of this study is to investigate the digital media strategies for small business branding. To understand the effective strategies for promoting small business through digital content marketing, we conducted in-depth interview with small business managers. The results of in-depth interview revealed that it is critical for small businesses to start creating and including video marketing as part of their entire content strategy. Especially, small business managers considered that video that provides rich media content can boost consumer engagement and increase the time spent on a branded contents. From a managerial perspective, this study provides guide on what small businesses should consider when developing and implementing digital strategies. For future research, this study provides the guide to investigate the effects of digital contents on the brand equity of small business.

A Study on Developing Framework for Measuring of Security Risk Appetite (보안 위험성향 측정을 위한 프레임워크 개발에 관한 연구)

  • Gim, Gisam;Park, Jinsang;Kim, Jungduk
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.141-148
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    • 2019
  • The advancement of digital technology accelerates intelligence, convergence, and demands better change beyond traditional methods in all aspects of business models and technologies, infrastructure, processes, and platforms. Risk management is becoming more important because of various security risks, depending on the changing business environment and aligned to business goals is emerging from the existing information asset based risk management. For business aligned risk management, it is essential to understand the risk appetite for achieving business goals, which provides a basis for decision-making in subsequent risk management processes. In this paper, we propose a framework for analyzing the risk management framework, pre - existing risk analysis, and protection motivation theory that influences decisions on security risk management. To examine the practical feasibility of the developed risk appetite framework, we reviewed the applicability and significance of the proposed risk appetite framework through an advisory committee composed of security risk management specialists.

Research on the Communication Effect of Intangible Cultural Heritage Cultural Symbols by the Game Character Design in 'King of Glory ' : Focused on the 'Guangdong Lion Dance' (<왕자영요>의 게임 캐릭터 디자인이 무형문화재 문화 기호에 미치는 파급효과에 대한 연구 -'광동 사자춤'을 중심으로-)

  • Gao, Kai;Lee, Dong-Yeop
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.433-438
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    • 2021
  • The purpose of this paper is to express intangible cultural heritage through game character designs, and to inherit and spread intangible cultural heritage in a new way. This paper will analyze how the characters in the mobile game "King of Glory" creatively design the intangible cultural heritage "Guangdong Lion Dance". Extract the cultural symbols of intangible cultural heritage into the game character design, and spread the characters online and offline. Through the digital dissemination of "Guangdong Lion Dance" through the game "King of Glory", the relevant influence of intangible cultural heritage cultural symbol dissemination in current digital games is explored.

Predicting Default Risk among Young Adults with Random Forest Algorithm (랜덤포레스트 모델을 활용한 청년층 차입자의 채무 불이행 위험 연구)

  • Lee, Jonghee
    • Journal of Family Resource Management and Policy Review
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    • v.26 no.3
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    • pp.19-34
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    • 2022
  • There are growing concerns about debt insolvency among youth and low-income households. The deterioration in household debt quality among young people is due to a combination of sluggish employment, an increase in student loan burden and an increase in high-interest loans from the secondary financial sector. The purpose of this study was to explore the possibility of household debt default among young borrowers in Korea and to predict the factors affecting this possibility. This study utilized the 2021 Household Finance and Welfare Survey and used random forest algorithm to comprehensively analyze factors related to the possibility of default risk among young adults. This study presented the importance index and partial dependence charts of major determinants. This study found that the ratio of debt to assets(DTA), medical costs, household default risk index (HDRI), communication costs, and housing costs the focal independent variables.

Analysis and implications on Ukrainian Military Intelligence Team's Decapitation Operation (우크라이나 군사정보팀의(Military Intelligence Team) 핀셋작전 분석과 시사점)

  • Cho, Sang Keun;Zhytko, Andrii;Park, Sung Jun;Kwon, Bum June;Seo, Kanh ll;Park, Sang-Hyuk
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.435-439
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    • 2022
  • ROK has a lot to benchmark from how Ukraine is fighting Russia back with its tactical wins. They have taken a targeted strategy to strike Russia's top generals with high precision. To carry out this strategy, Ukraine is operating a Special Operations Force, which utilizes US/NATO forces, civilian and own resources for maximum impact. Of note, they utilize Starlink for seamless connection from detection, decision-making to strike to maximize operational efficiency. As ROK faces security threat of weapons of mass destruction, Ukraine's military intelligence organization set-up, weapons system and operations can provide some guidance on how to leverage its various SOF as well.

Determinants of a Firm's Exit from Exporting: Evidence from Korean Manufacturing Firms (우리나라 제조업 기업의 수출중단 결정요인 분석)

  • Nam, Yunmi;Choi, Moon Jung
    • Economic Analysis
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    • v.26 no.4
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    • pp.98-136
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    • 2020
  • We empirically investigate the determinants of a firm's exit from exporting, using Korean manufacturing firm-level data for the period from 2006 to 2014. Specifically, we estimate the effects of not only firm-level and industry-level characteristics, but also macroeconomic variables on the probability that a firm stops exporting by applying a Complementary Log-Log Model analysis. The results of our estimation suggest that firm-level heterogeneity, such as workforce size, capital intensity, intangible assets and foreign ownership, industry-level variation, such as the labor displacement rate, and macroeconomic variables, such as domestic demand and world demand, significantly affect the possibility of a firm ceasing exports. Also, we show that market interest rates increase the possibility of an export cessation and that the effects of market interest rates are more pronounced on firms with a higher debt ratio. In the primary exporting industries, the probability of a firm ceasing exports decreases as productivity at the firm rises.

A Study On the Design of MyData API G/W (마이데이터 API G/W 설계 연구)

  • Sehjoon Dokko;Changwon Choi
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.47-54
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    • 2023
  • The MyData service makes anyone possible to apply the personal information for the personal credit management or the financial management by proactive managing his/her own information. The MyData means that the anyone is able to control or manage the its own information by changing from the company-oriented or the organization-oriented information to his/her own information. It is mandatory to develop the API G/W which transforms the different user format to the standard format to support the MyData service. This study is to design the API G/W for the MyData service and the designed API G/W supports the 4 major functions - Validation function, Throttling function, Authentication&Authorization function, Mediation function. The designed API G/W make it possible to support the safely and efficient MyData service by serving the various queries with the different formats.

A study on strategic use of MyData: Focused in Financial Services (금융 마이데이터의 전략적 활용에 관한 사례 연구)

  • Lee, Ju-Hee
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.181-189
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    • 2022
  • The purpose of this study is to investigate the innovation of business model and the effectiveness of the data-driven model. the main concepts and policies related to the data economy are reviewed, and implications are drawn through the analysis of data-based convergence service creation cases. This study identified the existing data-driven business model of the creation of MyData service industry in the financial industry and concept of the data economy. According to the empirical analysis result, this study confirmed that t considering the mobile environment and consumer acceptance of data portability, the ripple effect of the implementation of My Data on the financial industry is expected to be significant.

Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data (정형 비정형 빅데이터의 융합분석을 위한 소비 트랜드 플랫폼 개발)

  • Kim, Sunghyun;Chang, Sokho;Lee, Sangwon
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.133-143
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    • 2017
  • Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

Designing the Optimal Urban Distribution Network using GIS : Case of Milk Industry in Ulaanbaatar Mongolia (GIS를 이용한 최적 도심 유통 네트워크 설계 : 몽골 울란바타르 내 우유 산업 사례)

  • Enkhtuya, Daariimaa;Shin, KwangSup
    • The Journal of Bigdata
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    • v.4 no.2
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    • pp.159-173
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    • 2019
  • Last-Mile delivery optimization plays a key role in the urban supply chain operation, which is the most expensive and time-consuming and most complicated part of the whole delivery process. The urban consolidation center (UCC) is regarded as a significant asset for supporting customer demand in the last-mile delivery service. It is the key benefit of UCC to improve the load balance of vehicles and to reduce the total traveling distance by finding the better route with the well-organized multi-leg vehicle journey in the urban area. This paper presents the model using multiple scenario analysis integrated with mathematical optimization techniques using Geographic Information System (GIS). The model aims to find the best solution for the distribution network consisted of DC and UCC, which is applied to the case of Ulaanbaatar Mongolia. The proposed methodology integrates two sub-models, location-allocation model and vehicle routing problem. The multiple scenarios devised by selecting locations of UCC are compared considering the general performance and delivery patterns together. It has been adopted to make better decisions the quantitative metrics such as the economic value of capital cost, operating cost, and balance of using available resources. The result of this research may help the manager or public authorities who should design the distribution network for the last mile delivery service optimization using UCC within the urban area.

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