• Information Systems Review
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• v.15 no.1
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• pp.25-43
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• 2013

The Korean Smartphone industry has advanced rapidly. There seems to have a considerable change in Korea smartphone industry as the security policy related to wireless devices is changed from Whitelist Policy to Blacklist Policy. In regard to such a change, this paper analyzes the smartphone market in terms of the Business Ecosystem Model suggested by Moore. This study examines how Korean Smartphone Ecosystem has been formed and how any shifts in policy will have an effect on the ecosystem. In line with this policy shift, this study also suggests the ways how these ecosystem members should establish a strategy for the continuous development of this smartphone ecosystem. Furthermore, this study presents cooperation directions among ecosystem members based on the organic connections in the ecosystem as well as each individual's corresponding measures. In addition, based on this analysis, this study puts forward Korean smartphone ecosystem's current problems, improvement, and its future.

• Electronics and Telecommunications Trends
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• v.39 no.3
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• pp.58-68
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• 2024

Quantum computing can be a game changer in all areas of economy security, and society, and it is expected to bring innovation to the entire industrial ecosystem. The competition in this industry is accelerating with various countries pushing for policies to preempt technology and maintain a technological advantage. The quantum computing market is expected to show commercial gains in 2027 as an inflection point. Initially, it is expected to replace the high-performance computing market. However the continuous growth of quantum computing will depend on the development innovative services such as ChatGPT in AI, and technological breakthroughs. We examine the definition and outlook, evolution and dynamics, and supply chain structure of the quantum computing industry in an attempt to unveil implications for its development.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.209-235
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• 2022

Starting from 2010, blockchain technology, along with the development of artificial intelligence, has been in the spotlight as the latest technology to lead the 4th industrial revolution. Furthermore, previous research regarding blockchain's technological applications has been ongoing ever since. However, few studies have been examined the standards for classifying the blockchain economic ecosystem from a capital market perspective. Our study is classified into a collection of interviews of software developers, entrepreneurs, market participants and experts who use blockchain technology to utilize the blockchain economic ecosystem from a capital market perspective for investing in stocks, and case study methodologies of blockchain economic ecosystem according to application fields of blockchain technology. Additionally, as a way that can be used in connection with equity investment in the capital market, the blockchain economic ecosystem classification methodology was established to form an investment universe consisting of global blue-chip stocks. It also helped construct an intelligent portfolio through quantitative and qualitative analysis that are based on quant and artificial intelligence strategies and evaluate its performances. Lastly, it presented a successful investment strategy according to the growth of blockchain economic ecosystem. This study not only classifies and analyzes blockchain standardization as a blockchain economic ecosystem from a capital market, rather than a technical, point of view, but also constructs a portfolio that targets global blue-chip stocks while also developing strategies to achieve superior performances. This study provides insights that are fused with global equity investment from the perspectives of investment theory and the economy. Therefore, it has practical implications that can contribute to the development of capital markets.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• Electronics and Telecommunications Trends
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• v.38 no.5
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• pp.81-89
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• 2023

Software is becoming increasingly important, accounting for more than 90% of the innovations in the automotive industry nowadays. In fact, the share of software in the automotive market is estimated to be around 40%. Accordingly, the shift from hardware- to software-centric vehicles, represented by software-defined vehicles (SDVs), will drastically reorganize the automotive industry ecosystem. This article presents challenges that the automotive ecosystem needs to solve and measures that each participant in the ecosystem should adopt in line with the transition to SDVs in the automotive industry. It is expected that tier-1 suppliers will face difficulties due to the decoupling of software and hardware, and OEMs will need to strengthen cooperation to share costs and shorten development periods to cope with the huge cost of software development.

• Journal of the Semiconductor & Display Technology
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• v.21 no.3
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• pp.69-73
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• 2022

The application of cloud computing to many industrial domains is rapidly increasing, and domestic and foreign cloud service providers are actively conducting business. In the domestic cloud market, it is necessary to establish an ecosystem with partner operators that work closely with private cloud service providers. In this paper, to create such an environment, we propose a framework that can evaluate the capabilities of partners required for cloud service providers to establish specific business strategies. The framework proposed in this study establishes criteria for evaluating partners' competencies and applies a decision-making model such as fuzzy AHP for evaluation. Eventually this will help not only to expand the domestic cloud market but also to strengthen the competitiveness of domestic cloud partners through the growth of the domestic cloud market.

• Architectural research
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• v.18 no.1
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• pp.13-20
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• 2016

Smart Home has achieved remarkable developments over the past few decades. In the ICT(Information and Communications Technology) field, 'app ecosystem'-a collection of multiple devices such as mobile phones and tablets, software (operating system and development tools), companies (manufacturers, carriers, app-stores, etc.) and the process through which data is transferred/shared by a user from one device to another device or by the device itself-has come into wide use since the advent of the smart phone. Due to the synergy effect of the 'app ecosystem', it has been applied to various fields such as televisions and automobile industries. As a result, both the Smart TV and connected vehicle have developed their own ecosystem. Although much research has been conducted on these two ecosystems, there is a lack of research regarding 'App Ecosystem based Smart Home' (AESH). This research focuses on the building scenarios based on 'Tracking, Analyzing, Imaging, Deciding, and Acting (T.A.I.D.A), a future prediction method process. Rather than taking an approach from the perspective of providing and applying advanced technology for research on building future scenarios, this paper focuses on research from the perspective of architectural planning. As a result, two future scenarios of AESH are suggested.

• The Journal of Fisheries Business Administration
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• v.42 no.1
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• pp.71-83
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• 2011

An ecosystem-based fisheries management (EBFM) approach becomes more important as an alternative management method for a sustainable development of fisheries domestically and internationally. Many methods of applying a practical EBFM to fisheries management have been investigated, and considerable attention has been given to developing effective indicators of the present status of and changes in ecosystems and putting them to practical use. Among ecosystem indicators, developing socioeconomic indicators for EBFM is particularly important. This is because socioeconomic factors have direct effects on ecosystems, and ecosystems have direct effects on socioeconomic factors. Therefore, it is imperative that socioeconomic indicators are developed and evaluated in order to predict changes in ecosystems and to provide advice for effective fisheries management. This study is aimed to develop socioeconomic indicators which can be combined with biological and ecological indicators, in order to conduct the ecosystem-based fisheries assessment. In terms of socioeconomic indicators, five socioeconomic criteria were considered as important attributes of socioeconomic changes. These criteria include economical production, business conditions, income, market, and employment indicators. For evaluation of newly developed socioeconomic indicators, the Traffic Light System (TLS) method was used. In addition, on the basis of the application of developed indicators to the Korean large purse seine fishery, the socioeconomic conditions of the fishery and the usefulness of the indicators were evaluated and management implications were discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.187-202
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• 2015

The continued development of smart devices representing smart phones and tablet PC has made significant changes to the ICT ecosystem. Along the development of smart devices, consumers' needs are also becoming increasingly diversified in addition to their rising expectations. Thus, in order to fulfill the changing customer needs, corporations in the ICT ecosystem have recently focused on appcessory products that are interlinked and utilized in existing smart devices. This study particularly analyzes the two corporations, Samsung Electronics and SK Telecom, which recently plunged into appcessory business. By the case study of these two companies based on the theories of ecosystem and platforms, this study analyzes the current status of the appcessory market, the potentials and significances of the business, business background of the two corporations, and the status of leadership competition in the appcessory market. In the case of Samsung Electronics and SK Telecom, the study shows that both corporations acquired new growth powers in the appcessory market with their entry into existing or other relating markets. Also, since the appcessory business is highly related to their existing businesses, each company was able to take advantages based on the capability that they already possessed and this relationship had positive effects on their overall businesses. In addition, the two corporations had common strategies in increasing their competitiveness by identifying internal weaknesses and building external cooperations. On the other hand, since the two companies have different business areas, their business background, business strategies, and the effects of expectations varied to each other. Thus, this study identifies commonalities and differences between recent smart platforms and corporations' engagement in the fierce leadership competition in the appcessory market.

• Electronics and Telecommunications Trends
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• v.36 no.4
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• pp.81-91
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• 2021

Recently, discussions on Metaverse, which represents the transcendent world, have been dominant for some time. Cases related to the Metaverse are introduced through various media and are continuously attracting attention as the next generation of the Internet. This study reviews the business model and the ecosystem overview, focusing on service cases related to the Metaverse. The widely used business models include content production and sales, media brokerage fee, and marketing fee. The Metaverse ecosystem is formed around games, with major players in game production, authoring tool & support SW, intelligent cloud service, and game platform expected to lead the market. Results show that a strategy to secure the leadership of the Metaverse, such as the business model expansion conditions, a strategy to foster a game-oriented Metaverse ecosystem, and technology development for the realization of the ultra-realistic Metaverse, is necessary.