• Journal of Digital Convergence
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• v.19 no.11
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• pp.167-180
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• 2021

The purpose of this study is to present a framework of the MyData business ecosystem that shows a different pattern from the previous one by the MyData concept and to define the characteristics of actors participating in the ecosystem. Because MyData is an individual exercising sovereignty over his or her data, there is a characteristic that the individual participates as a key actor in the business. In other words, MyData Operators participate in the MyData business ecosystem to help individuals who own MyData, MyData creating business and MyData using business, among them, manage their own data. Therefore, this study conducts a case study of domestic and foreign MyData businesses to revitalize the domestic MyData industry. In particular, the business model of 45 cases of overseas MyData operators was analyzed and classified into 7 types of 4 groups. And through this, the importance of the role of MyData Operator in the MyData industry ecosystem is confirmed and a developmental ecosystem model is proposed.

• The Journal of Bigdata
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• v.2 no.2
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• pp.9-16
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• 2017

Global Platform Solution Company (aka Amazon, Google, MS, IBM) who has cloud platform, are driving AI and Big Data service on their cloud platform. It will dramatically change Enterprise business value chain and infrastructures in Supply Chain Management, Enterprise Resource Planning in Customer relationship Management. Enterprise are focusing the channel with customers and Business Partners and also changing their infrastructures to platform by integrating data. It will be Digital Transformation for decision support. AI and Deep learning technology are rapidly combined to their data driven platform, which supports mobile, social and big data. The collaboration of platform service with business partner and the customer will generate new ecosystem market and it will be the new way of enterprise revolution as a part of the 4th industrial revolution.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.1-9
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• 2014

This research describes strategies to promote the growth of the Big Data industry and the companies within the ecosystem. In doing so, we identify the roles and responsibilities of various objects of this ecosystem and Big Data concepts. We describe the five components of the Big Data ecosystem: governance, data holders, service users, service providers and infrastructure providers. Related to the Big Data industry, the paper discusses 13 business strategies between the five components in the ecosystem. These strategies directly respond to areas of research by the Big Data industry leading experts on its early development. These strategies focus on how companies can gain competitive advantages in a growing new business environment of Big Data. The strategy topics are as follows: 1) the government's long term policy, 2) building Big Data support centers, 3) policy support and improving the legal system, 4) improving the Privacy Act, 5) increasing the understanding of Big Data, 6) Big Data support excavation projects, 7) professional manpower education, 8) infrastructure system support, 9) data distribution and leverage support, 10) data quality management, 11) business support services development, 12) technology research and excavation, 13) strengthening the foundation of Big Data technology. Of the proposed strategies, establishing supportive government policies is essential to the successful growth of thee Big Data industry. This study fosters a better understanding of the Big Data ecosystem and its potential to increases the competitive advantage of companies.

• 한국벤처창업학회:학술대회논문집
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• 2017.08a
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• pp.37-47
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• 2017

The digital multi-sided platform has led the growth of industries. Accelerating this growth, generativity allowed innovation based on boundary-less modularity. Online games are a rich source of research but most of the research is dedicated in examining only the online game itself. However, there is a growing need to understand online games in an ecosystem level for a new phase of evolution is starting based on generativity. With generativity, online game users now make new graphics and quest that can be added and shared to the already existing game environment. The ecosystem is moving towards finding an amicable multi-sided distribution platform for these user generated game contents. Preliminary data suggest the possibility of actual connection between generativity and users' game engagement. Interviews and surveys will be prepared to find out the details of the possible relationship and how the ecosystem will shape accordingly.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.171-183
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• 2012

This study intends to find a solution through the activation of community business as a business as a business model of the creation of real satisfaction for the region's residence. In this study focuses on finding out how community building project, which is recently emerging as a new paradigm of regional development. In the past, we have lived community units, but nowadays many communities have been destroyed by the capitalization and the urbanization even in the rural area. This report studies essential elements needed for successful 'Rural Community Business' through case studies of 'Dandelion Village' in Gyoengsangnamdo. In order to do so, we analyzed this villages according to a theoretical 'Sustainable Community Business Model.' We constructed successful business model of 'Rural Community Business' based on six groups - 'Community Leader,' 'Teamwork,' 'Sustainable Population Influx,' 'Sustainable Voluntary Participations of Community Members,' and 'Sustainable Networking.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.229-243
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• 2022

The importance of digital economy and platform firms in the Korean economy is growing. However, the concept and definition of platform firms are still in vague. In addition, the construct of platform firms in ecosystem has not yet investigated. In this paper, we attempt to define the platform firm and to classify the platform depends on the attributes of firms and business. We find 552 platform firms compose Korean platform ecosystem. From this study, the understood of platform concept can be accurated. Specifically, from the perspective of a 'firm' rather than a business-oriented attribute, and furthermore, the type of platform firm and detailed classification of industries and services were proposed for empirical analysis in the future. In addition, through the analysis of the current status of the platform ecosystem, policy recommendations for the future development and activation of the ecosystem were presented.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.661-670
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• 2020

This paper investigates the influence of the economic integration exemplified by the Eurasian Economic Union on the entrepreneurial ecosystem in the Kazakhstan corporate sector. Using data collected from 204 small-, medium-, and large-sized Kazakh companies, the researchers analyzed the collected data with percentile. Findings of this study show that small- and medium-sized enterprises, especially in the tertiary sector of the Kazakh economy, are not that much affected by regional integration, whereas large firms have been significantly impacted. The originality of the paper is threefold. First, the research explores the entrepreneurial ecosystems in its focus on geographic location or digital technologies that came across mainly from the ICT space. This is becoming pervasive across mechanical systems, communications, infrastructure, and the built-up environment. Second, the originality of the paper lies in focusing on the entrepreneurial ecosystems' influence on the business processes by clearly understanding the regional, national, and international trends in different markets. Third, the paper is first of its kind to contribute an updated perspective on the entrepreneurial ecosystem's influence on economic integration to the policymakers of Kazakhstan. Policymakers will gain expertise on how to manage network effects while planning investment projects, as well as transactions, modes, and fixed nodes, acquisition, and greenfield investments.

• Journal of Fashion Business
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• v.27 no.1
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• pp.1-15
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• 2023

This study divided articles into two time periods, from 2012 to 2022, with the aim of using big data analysis to look at patterns in the ecosystem of fashion start-ups. The research method extracted top keywords based on TF(Term Frequency) and TF-IDF(Term Frequency-Inverse Document Frequency), analyzed the network, and derived centrality values. As a result of comparing the first and second fashion startup ecosystems, elements of policy, support, market, finance, and human capital were derived in the first period. In addition, in the second period, elements of policy, support, market, finance, and culture were derived. In the first period, the fashion startup ecosystem focused on fostering new designer startups by emphasizing support, finance, and human capital factors and focusing on policies. Meanwhile, in the second period, online-based fashion platform startups and fashion tech startups appeared with the support of digital transformation and fulfillment services triggered by COVID-19(Corona Virus Disease 19), private finances were emphasized, and cultural factors were derived along with success stories of fashion startups. This study is meaningful in that it helps in developing strategies for fashion startups to grow into sustainable companies.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.125-131
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• 2023

OVO is a digital platform that provides simple payments and smart financial services, as well as one of the largest digital payment platforms in Indonesia. It has wide coverage and security when making payments, and supports multiple settlement currencies. The purpose of this study is to explore the history, business model, and future strategic direction of OVO, an Indonesian e-wallet. To date, OVO has built its own mobile payment ecosystem covering a wide range of consumer scenarios including e-commerce, travel, offline shopping and finance. And it supports mobile banking, online banking, debit cards or selected partner merchants. Its three largest transaction categories are in the transportation, retail and e-commerce sectors. With over 110 million consumers and 1.3 million merchant users, it is one of the dominant e-wallets in Indonesian market and has become the country's e-payment market leader. OVO eWallet's 'One Card' model offers convenience and choice for users, thus contributing to the rapid growth of OVO eWallet. And OVO eWallet competes fiercely with other competitors, but OVO eWallet continues to grow in terms of the number of users and market share. Finally, this study analyzes the strategic goals and plans of OVO eWallet, predicts its future direction. OVO eWallet has a huge success, but there are still competition and challenges to face.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.141-154
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• 2009

Digital Ecosystem is a new word for dynamic IT business environments. Digital Ecosystem can consist of various enterprise federations such as competing, collaborating and stable or unstable ones. They make it difficult to implement identity management for the environment. Existing solutions are either too restricting and inflexible to support the dynamic nature of ecosystems since they are too complex and difficult to adopt. This paper is to propose an distributed identity management model for automated processing of identity information between ecosystems. It is featured with being practical, clear and easy to deploy. And it is based on the new OASIS SAML3.0 standard to provide interoperability between existing identity technologies. This paper presents the basic and extended identity model for single service and multiple services. The model presented in this paper can be applied to enterprise context easily.