• 한국벤처창업학회:학술대회논문집
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• 2023.11a
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• pp.79-84
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• 2023

플랫폼은 산업 전반에 걸쳐 막강한 영향력을 행사하며 비즈니스 생태계를 변화시키고 있다, 이러한 변화의 흐름에 따라서 플랫폼 기업의 가치가 빠르게 상승하고 있으며 좋은 플랫폼 기업을 발굴하여 육성하는 것이 곧 국가경쟁력 향상으로 이어지고 있다. 플랫폼 비즈니스 기반의 기업은 플랫폼 특성인 네트워크 효과와 수확체증 현상이 영향력을 발휘하기 전인 사업 초기에는 충분한 수익 발생이 어렵고 승자독식의 산업구조로 인해 치열한 선두 경쟁을 강요받고 있기에 기업 성장을 위해서는 투자유치를 통한 자금을 확보할 필요성이 있다. 본 연구는 플랫폼 비즈니스 기반의 기업에 대한 투자자의 투자결정요인을 도출하고 각 요인 간의 중요도 차이를 분석하여 투자를 준비하는 플랫폼 기업에게 투자자의 관점을 이해하고 사업을 검토하는 데 참고할 수 있는 시사점을 제시하여 플랫폼 기업의 투자유치 성공률을 제고 및 플랫폼 생태계 활성화를 목적으로 하고 있다. 투자자의 투자결정요인과 플랫폼 가치평가에 관한 선행연구를 바탕으로 플랫폼 기업에 적합한 14가지의 투자결정요인을 도출한 뒤 계층화를 통해 플랫폼, 시장, 창업자/팀, 재무, 제품/서비스의 5가지 주요 요인을 선정했으며 투자자를 대상으로 AHP 분석기법을 활용한 1:1 쌍대비교 설문을 진행하였다. 연구 결과 가장 높은 중요도를 나타내는 요인은 플랫폼 특성으로 확인되었으며, 이는 본 연구에서 선정한 플랫폼 특성인 플랫폼 규모, 핵심 참여집단 확보 여부, 가치 고착 용이성, 확보한 데이터 가치가 플랫폼 기업의 가치평가에 적절하다는 것을 시사한다. 추가로 플랫폼 기업에 대한 투자경험 유무로 그룹을 나누어 중요도를 비교한 결과 플랫폼에 투자한 투자자가 그렇지 않은 투자자에 비하여 플랫폼 기업이 확보한 데이터 가치에 대해 높은 중요도를 두고 있다는 것을 확인했다.

• Journal of Venture Innovation
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• v.5 no.2
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• pp.101-110
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• 2022

It is easy for first movers of platform business model to monopolize the market due to the platform's own characteristics such as network effect and flywheel strategy. Accordingly, the regulations on platform operators are constantly being discussed in the recent monopoly regulation arguments, but the concrete regulations have not been settled worldwide. This is because there is no clear consensus on the valuation method which can objectively identify dominant platform firms from the others. This study suggested a platform valuation method based on the Tobin's Q theory, by measuring the moderating effect of the existence of specific scale of platform on the relationship between replacement cost and market valuation. Our method can not only be a standard for settling monopoly regulation by converging the regulation targets, but also contribute to active investment on the new platform firms by evaluating their potential growths quantitatively.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.109-124
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• 2024

The value of platform companies is rapidly increasing, exerting significant influence across industries. Identifying and fostering promising platform companies is crucial for enhancing national competitiveness. Consequently, tailored evaluation standards are necessary for such companies. This study derived investment decision factors specific to platform companies and compared the importance of each factor using Analytic Hierarchy Process (AHP) analysis. Key factors included platform characteristics, finance, entrepreneur (team), market, and product/service attributes. The findings revealed that platform characteristics were deemed the most crucial factor for investors. Specifically, factors such as platform size, ease of value fixation, core participant group, and data value were identified as pertinent for evaluating platform companies. Moreover, analysis distinguished between investors with prior platform investment experience and those without. Significantly, investors with platform investment experience placed greater emphasis on the value of data secured by platform Furthermore, it was observed that investors prioritized future value and growth potential over current value when investing in platform. Notably, founder/team characteristics, typically highly regarded in previous studies, ranked lower in importance in this study, highlighting a shift in focus. The discrepancy between this study's results and prior research on investment decision factors is attributed to the specificity of the questions posed. By focusing on investment decision factors for platform startups rather than generic startup inquiries, investor responses aligned more closely with platform-focused considerations. Given the burgeoning venture investment landscape, there's a growing need for detailed research on startups within specific sectors like IT, travel, and biotech. This approach can replace extensive research covering all startup types to identify investment decision factors suited to the characteristics of each individual industry.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.241-248
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• 2017

There are various problems in the process of developing the game. Especially, there is a lot of problems in testing the balance of the value of each object. This causes problems such as an increase in development cost and a delay in development time. Therefore, if there is a tool or simulator that can test the mutual value balance of each object in advance, this problem can be solved. However, currently there are few simulators, tools, and platforms that can analyze and evaluate the mutual value balance between these objects. In this paper, I designed a platform to evaluate and test the mutual value balance between these objects based on mock battle. The designed platform tests and evaluates the abilities of each object according to their attack and defense strengths. So, this reduces development costs and shortens development time.

• Information Systems Review
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• v.26 no.1
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• pp.57-71
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• 2024

There are several ways to assess the value of personal data, but there is no standard for evaluating data value. In the case of medical my data utilization platform services, it was found that when the platform company received the user's consent and received data for the purpose of data utilization, an average of about 4,000 credits was paid per user as compensation. As in the previous case, the value of personal information is mainly measured based on the value of each individual, not on specific items of personal information. However, as the number and type of personal information increases, the value of personal information must be measured by type. This study focuses on measuring the value of unstructured personal information, especially images, and proposes standards for unstructured personal information. By measuring the value of images, we will be able to help platform companies set credit standards for compensation per person when providing data and support objective and reasonable pricing when selling B2B data.

• Spatial Information Research
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• v.19 no.2
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• pp.1-7
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• 2011

For desirable ubiquitous web environments, one of the R&D projects by Korean Land Spatialization Group, has been done to develop a geospatial platform for custom ized land information and geospatial services. To make a better judgement for the investment in the project, analyses for evaluating value of the platform technology and others are done to propose better strategies for the future project management and commercialization of the platform technology. Wiith review of theories and evaluation methods for the technological values, this study suggests 3 evaluating methods: cost approach methods, market approach methods, and income approach methods with focusing on the customized geospatial information platform technology. Results of the evaluation are as follows: the value(over 3,600 million won) estimated by using cost approach methods is larger than the value(over 2,200 million won) using income approach method. Based on evaluation time and methods, the estimated value of geospatial platform technology can be different. This study is performed in relatively early stage of technology developments and results of it will be a reference for commercialization of customized geospatial information platform technology.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.47-48
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• 2018

본 논문에서는 직접 제작한 체험형 VR 시뮬레이션 플랫폼을 바탕으로, 사용성 평가를 통해 본 플랫폼의 타당성을 분석한다. 화재, 지진, 물난리 등의 재난 상황에서 안전하게 대응할 수 있도록 훈련이 가능한 체험형 VR 재난대응 통합훈련 시뮬레이션을 실험참가자에게 체험하게 한 후, 휴리스틱 평가를 실시하여 평가한 데이터를 수집하고 이를 7점 척도 방법으로 결과를 수치화하였다. 본 논문을 통해 상용 전 플랫폼의 가치를 측정해 볼 수 있었으며 이는 제작 후 수정작업에 기여할 수 있는 자료가 될 수 있으리라 사료된다.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.81-96
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• 2021

This study examines the importance of factors that influence the online platform selection decision to support operational optimization strategies. For the research purpose, we first reviewed previous studies on service encounters and identified those factors that have been proven important for using online platforms. Second, this study analyzed the factors that customers perceived as important based on analytical hierarchy process (AHP) of the data we collected from 10 mobile or computer-based Internet users. The study results revealed that the important factors for the online platform selection were in the following order: product diversity (27.4%), ease of use (21.5%), brand credibility (18.1%), interactions with the service provider (17.7%), and ease of accessibility (15.3%). The study provides useful insights to online platform service providers in developing strategies for customer-focused value creation.

• Journal of Korea Game Society
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• v.6 no.4
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• pp.17-23
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• 2006

Most companies operate their business unit by products which occupy mostly their sales or can increase their sales. The evaluation of business units is very important part to check the market position of its business, the value of investment and business diversification. This paper applies 5 game flat forms to Korean game industry at base on GE model which can evaluate business unit with market merit and competitive advantage in market. the result of study indicates that main flat form and the other flat form distribute diversely, and can determine the time for the new product development, the flat form of main investment and marketing strategy.

• Informatization Policy
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• v.29 no.4
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• pp.26-42
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• 2022

In order to evaluate the usefulness of metaverse learning from the learner's point of view, this study 1) evaluated whether the expectancy-value of the class was satisfied before and after the learner used the metaverse learning platform and 2) verified factors affecting metaverse learning satisfaction with regard to the self-efficacy and expectancy-value of learners. Expectancy-value was evaluated by the learning effect, communication, class involvement, and learning attitude, whereas self-efficacy was evaluated by preference for task difficulty, self-regulation efficacy, and self-confidence. As a result of a study targeting 70 college students who applied for a few courses using the metaverse platform at a university in the northeastern part of Seoul, learners were found to have high expectations and values for learning before using the metaverse platform, but both were not statistically satisfied after use. In addition, the higher the self-efficacy of the learner, the higher the satisfaction with the metaverse learning, and statistically significant results were found in the task-difficulty preference and self-regulatory efficacy among the sub-factors of self-efficacy. There is a negative causal relationship between expectancy-value factors and satisfaction with metaverse learning. This study implies that it is a learner-centered evaluation of metaverse learning, revealing the expectancy-value effect and factors influencing the satisfaction with metaverse learning.