• 한국게임학회 논문지
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• 제11권2호
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• pp.45-56
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• 2011

본 연구는 사용자간 게임 아이템 현금거래의 개념과 현금거래의 거래방식, 가치사슬, 이해관계자 그리고 발생 가능한 이슈에 대해 분석하였다. 게임아이템 현금거래는 게임 자체의 비즈니스 모델뿐만 아니라 디지털 콘텐츠의 유통, 사행성 및 작업장 등 민감한 사회적 특성을 보이고 있다. 게임 시장의 지속적인 성장에 따라서 게임 아이템 현금거래의 거래방식과 가치사슬도 변화하고 있으며 기존의 거래방식 및 가시사슬과 다른 현재의 게임아이템의 새로운 개념에 대해 새롭게 분석하였다. 또한 게임아이템 현금거래와 관련하여 계정거래, 캐릭터 선물하기 서비스, 캐릭터 육성하기 서비스, 자금세탁, 아이템 자동 등록기 등의 대한 다양한 이슈를 분석하였다. 이 같은 분석 결과는 게임아이템 현금거래 관련 정책 및 각 이해관계자들의 전략 수립 등에 중요한 현황자료가 될 것이다.

• 한국경제지리학회지
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• 제17권3호
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• pp.465-481
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• 2014

창의산업(creative industry)으로서 의류패션산업은 지역에 착근된 가치사슬을 바탕으로 한 기업 간 협력과 상호 네트워크가 중요한 산업으로, 특정지역을 중심으로 집적하고 있다. 이에 본 연구는 공간적 집적을 넘어 서울 의류패션산업의 중심 클러스터로 성장하고 있는 구로 가산동 의류패션산업의 가치사슬을 바탕으로 산업구조를 분석하고 기업간 산업네트워크를 형성하고 있는지 확인하였다. GIS분석과 현장답사를 통해 구로 가산동 의류패션산업은 가치사슬상의 기획, 디자인의 고부가가치 영역이 전개되고 있음을 확인하였다. 또한, 심층인터뷰를 통해 구로 가산동 의류패션산업은 가치사슬의 미들스트림을 중심으로 업스트림에 속하는 지역 외부의 대형 브랜드업체의 통제를 받는 외부지향적인 생산구조를 가지고 있음을 밝혔다. 이에 구로 가산동의 산업 집적지는 상호호혜적인 네트워크를 통한 창조적인 산업클러스터로 발전하는데 한계가 존재한다. 하지만, 부가가치가 높은 업스트림의 영역으로 가치무리 이동을 보이고 있어, 현재 일부 기업들이 부가가치가 높은 영역을 넓혀 가고 있는 모습이 존재함을 보였다. 본 연구는 구로 가산동 의류패션산업의 총체적인 시스템을 확인하고, 경제지리적 관점에서 가치사슬의 구조와 공간적 분화패턴을 국지적 차원에서 분석한데에 의미가 있다.

• 한국정보시스템학회지:정보시스템연구
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• 제17권3호
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• pp.205-233
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• 2008

This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

• 산업공학
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• 제25권2호
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• pp.241-254
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• 2012

This paper studies the relationship between SCM(Supply Chain Management) metrics and corporate value (Tobin's Q) for manufacturing and wholesale/retail firms in Korea. Specifically, the multiple regression analysis is used to investigate the relationships 1) between inventory level, inventory turns, and days of inventory and Tobin's Q and 2) between cash-to-cash (C2C) cycle time including its components such as days of inventory, days sales outstanding, and days payable outstanding and Tobin's Q. The results indicate that there exist statistically significant negative relationships between inventory levels and days of inventory (DOI) and Tobin's Q. Also, we found that there exist commonly known negative correlations between days of raw materials inventory and days of work in process (WIP) inventory and Tobin's Q. For the C2C cycle time, we found that there -exists a statistically significant negative relationship between the C2C cycle time and Tobin's Q. Also, we found that there exist commonly known correlations between the two components of C2C cycle time and Tobin's Q such as the negative for DOI and days sales outstanding. This study clearly shows the negative relationship in general between inventory levels and corporate value and between C2C time and corporate value, and this kind of result has not been found by previous studies in Korea.

• 수산경영론집
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• 제42권2호
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• pp.47-68
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• 2011

Values are lasting beliefs that are at the center of human behavior and not be often changed. Different values make different behaviors, and similar values form similar behaviors. Consumers' values affect not only the cognitive process but also behaviors in a powerful and comprehensive way. There have been many studies regarding prediction of consumer patterns and identification, measurement methods of values. This is because if we can accurately measure the value system, it can be used in many areas of marketing such as market segmentation, new product development, and advertisement. In case of seafood, it is also necessary to make marketing strategies by segmenting consumers based on their value systems. The objectives of this study are as follows: First, it is to find out the connection process from the properties of seafood products that consumers consider important, to the benefits, and finally to the values they pursue by applying the means-end chain theory, using the Laddering method. Second, using a two-step cluster analysis, we aim to segment seafood markets based on consumers' values and investigate characteristics of segmented markets. Based on objectives, it is expected that this study would provide informations on seafood consumers and help to establish seafood marketing strategies for producers and distributors. Analytical results of the value system using a means-end chain theory indicated that there were seven complete links, that is, ladders among fresh seafood products. In case of processed seafood products, there were total 9 complete ladders. The empirical analytical results of market segmentation according to the values showed fresh seafood products were divided into three groups. In case of processed seafood products were segmented into two groups.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.218-223
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• 2021

The five elements of big data are said to be Volume, Variety, Velocity, Veracity, and Value. Among them, data lacking the Veracity of the data or fake data not only makes an error in decision making, but also hinders the creation of value. This study analyzed YouTube's revenue structure to focus the effect of data integrity on data valuation among these five factors. YouTube is one of the OTT service platforms, and due to COVID-19 in 2020, YouTube creators have emerged as a new profession. Among the revenue-generating models provided by YouTube, the process of generating advertising revenue based on click-based playback was analyzed. And, analyzed the process of subtracting the profits generated from invalid activities that not the clicks due to viewers' pure interests, then paying the final revenue. The invalid activity in YouTube's revenue structure is Raw Data, not pure viewing activity of viewers, and it was confirmed a direct impact on revenue generation. Through the analysis of this process, the new Data Value Chain was proposed.

• 한국IT서비스학회지
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• 제17권3호
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• pp.37-51
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• 2018

Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

• 지식경영연구
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• 제23권1호
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• pp.1-26
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• 2022

소셜 네트워크의 확산에 따라 플랫폼을 기반으로 한 소셜커머스는 다중 스마트 기기의 사용과 함께 빠르게 성장해왔다. 쿠팡과 티켓몬스터와 같은 소셜커머스 사이트들의 빠른 성장을 감안한다면 소셜커머스 환경에서 사용자의 구매 의사 결정 과정을 이해하는 것은 매우 중요하다. 본 연구의 목적은 첫째, 소셜커머스를 이용하는 사용자들의 목표에 대한 이해를 보다 풍부하게 발전시키고자 한다. 둘째, 사용자의 목표를 분석하기 위한 방법론적 대안을 소개한다. 본 연구에서는 래더링 인터뷰와 수단-목적사슬 분석을 활용했다. 소셜커머스를 활용한 구매 경험이 6개월 이상인 사용자 40명을 대상으로 실시한 인터뷰 분석 결과, 사용자의 목표 구조를 보여주는 위계적 목적지도가 도출되었다. 본 지도는 타인과의 따뜻한 관계, 쇼핑의 재미와 즐거움, 성취감, 만족감, 금전적 저축, 편의성 등을 포함한 소셜커머스의 22가지 궁극적인 목표를 담고 있다. 또한 활동에서부터 궁극적인 목표까지 다양한 경로가 존재하기에 사용자가 추구하는 목표를 조사하면 사용자를 이해하는 통찰력을 얻을 수 있다.

• 산경연구논집
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• 제10권12호
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• pp.7-14
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• 2019

Purpose: In Korea, win-win growth policy has been successfully implemented in supply chain and logistics management. In the policy, it is recommended to support supply chain partners with various mechanisms including financial and technical aids. This study attempts to scientifically analyze the effects of direct and indirect win-win growth policy factors on supply chain and logistics management performance through partnership factors. Research design, data and methodology: This study builds a structural equation model reflecting the relationship between the win-win growth policy, partnership and performance factors. The proposed model is verified with the PLS (Partial Least Squares regression) methodology. Data from shipper and logistics companies were collected and analyzed by the PLS model. Results: The analysis showed that both direct and indirect policy factors are meaningful to improve supply chain and logistics performance. Indirect support factors including R&D, management innovation, human resources development and educational supports have positive impacts on partnership factors. Direct support factors including financial aids and fairness also have positive impacts on the performance. Conclusions: This study is meaningful in that it suggests a turning point in which supply chain Win-win growth and partnership efforts are perceived as new value-creating mechanism rather than unilateral cost reduction for logistics industry.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.157-158
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• 2021

공급망의 빅데이터는 주로 네 가지 측면에서 발생된다. 하나는 생산 장비 품질 데이터, 계획된 조달 데이터, 제품 데이터 등과 같은 공급망에서 기업의 제품 가치 이전 과정에서 불가피하게 생성되는 관련 데이터이고, 두 번째는 공급망에 있는 다양한 회사의 ERP 데이터에서 파생된다. 세 번째는 고객의 전자 상거래 데이터이고 마지막은 외부 또는 수동으로 입력한 데이터의 데이터이다. 따라서 본 연구를 통해서 공급망 운영 과정에서 재고를 예측하고 제어하기 위해 타사 데이터 서비스 센터 분석 및 데이터 마이닝. 그것은 여러 측면에서 전체 공급망에 혁신과 관리 기술 및 사고방식의 변화를 가져오고 마침내 전체 공급망의 재고 조정 및 제로 재고 목표를 달성하게 된다.