• Journal of Korean Institute of Industrial Engineers
• /
• v.37 no.1
• /
• pp.41-54
• /
• 2011

A central theme in recent IT (information technology) industry is a mobile ecosystem. While a concept of business ecosystem, which is an economic community of firms and individuals producing and consuming goods and services, has been around for about 20 years now, the recent spotlight is mainly caused by the enormous success of iPhone. Many hand-set makers or platform developers want to mimic Apple's iPhone ecosystem from which both application developers and hand-set users can benefit. In this study, a representation model of the business ecosystem is proposed for supporting systematic design and analysis of ecosystems. Whereas previous studies also proposed some representation models, they emphasized only on the value chain between participating players. The proposed model, which is named relation-based ecosystem model, represents an ecosystem with the requirement relationships between product and service components and the roles of players, as well as their value chain. Such comprehensive representation explicitly reveals the strategic difference between ecosystems. This advantage was illustrated by comparing a Korean traditional mobile ecosystem and an emerging smart-phone ecosystem represented by the proposed model.

• Journal of Korean Institute of Industrial Engineers
• /
• v.39 no.1
• /
• pp.61-72
• /
• 2013

This research aims to identify promising IT items from the perspectives of Korean SMEs and further to development a policy for SMEs in the IT industry. For this purpose, we adopted a bottom-up approach by discovering IT items on high demand by SMEs as their now growth engines and thus used a survey method. We also analyzed the ecosystem characteristics for the items to help policy-makers establish customized strategy to support their growth. We believe that this research is timely when the concept of ecosystem has emerged and the role of SMEs is emphasized in the IT industry. And the research results are expected to produce valuable information to make a policy for promoting IT items for SMEs and ultimately leading to balanced growth of large firms and SMEs.

• Journal of Korean Institute of Industrial Engineers
• /
• v.42 no.2
• /
• pp.138-150
• /
• 2016

This study aims to analyze the structure and characteristics of the domestic online game industry using network analysis. In particular, two-mode network analysis is employed to measure the network structure, centrality, and cluster for two types of online game platforms, online games and mobile games, from 1996 to 2014. We also conduct a dynamic analysis to capture the structural changes in the ecosystem by internal and external environmental changes before and after turning point for each online game platform. It is revealed that the online game econsystem has the higher number of clusters and higher concentration ratio than those of mobile game ecosystem. In dynamic analysis, both platforms exhibit similar trends over time with the increasing number of clusters, enlargement of largest cluster's size, and decreasing concentration ratio. This study is expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.1
• /
• pp.128-139
• /
• 2018

As The Fourth Industrial Revolution and Intelligent Information Age came into full-scale, the policy of open government data has become a hot topic for each country. The United States, the United Kingdom, and other countries are shifting policy direction to "creating value" of open government data. Also, in the age of the digital economy where the data market is soaring, open government data is gradually being recognized as a new raw material for new business and start-ups. In addition, Korea ranked first in the OECD open government data evaluation twice in a row, and was highly evaluated in the international evaluation. However, domestic firms are still lacking in qualitative openness of government data, data is dispersed among institutions, lack of public-private data linkage, and development of app-oriented development. This study attempts to analyze major national policies for the creation of a data ecosystem that considers data lifecycle, from production to storage, distribution and utilization of data. First, the target countries were the leading public data countries among the OGP member countries, the USA, the UK, Australia and Canada. The results of this study are as follows. As a result of analyzing the results and comparing Korea's policies, it was concluded that most of Korea is superior in open government data policy. However, improvement of data quality, development of open data portal as an open platform, support for finding various users including apps and web development companies, and cultivation of open government data utilizing personnel are analyzed as policy issues. In addition, the direction of policy for the balanced ecosystem of Korea is presented together.

• Journal of information and communication convergence engineering
• /
• v.19 no.1
• /
• pp.8-15
• /
• 2021

The Fourth Industrial Revolution is currently leading humanity into a super-connected, super-intelligent, and super-converged society through key technologies such as artificial intelligence, the Internet of Things (IoT), and big data. Blockchain technology has the potential to lead social innovation that will improve the mutual harmony and understanding of the complex structures of human society as well as various phenomena (e.g., antagonism, confrontation, and ideological conflict). With such progress in social innovation, blockchain technology will result in a fairer and more transparent human society. In addition, blockchain technology is emerging as a core infrastructure technology, and its growth and expansion are expected to bring about revolutionary improvements to nearly all fields of development and research. In this paper, we briefly outline the main features of blockchain technology. Through a further analysis of its ecosystem, we intend to offer suggestions for a more robust and efficient development of blockchain-related industries.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.4
• /
• pp.177-185
• /
• 2021

Over the past 40 years, Korea's defense industry has been deepening into a low-efficiency industrial structure as the government directly controls prices, quantities, and costs. By implementing the Defense Industry Building Act in 2021, the government is creating a healthy ecosystem for the defense industry and strengthening its global competitiveness. In this study, based on KPC's Productivity Management System (PMS), a diagnostic model of defense companies implemented since 2013, the on-site diagnosis was performed from 4 to 28 days depending on the size of the company data was collected based on the results. The causal relationship was analyzed through structural equation model path analysis for the effect of innovation capability on productivity performance. As a result, it suggests that defense materials suppliers should focus on which core processes to innovate and strengthen and improve their innovation capabilities.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.24 no.68
• /
• pp.51-65
• /
• 2001

This study is to make LCIA(Life Cycle Impact Assessment) easier as a methodology of environmental scores(called E-score) that integrated environmental load of each emission substance based on environmental damage such as in human health, ecosystem and resources category. The concept is to analyzes the LCI(Life Cycle Inventory) and defines the level of environment damages for human health, ecosystem and resources to objective impact assessment standard, and makes the base of marginal damage to calculate the damage factor, which can present the indication that can establish the standard value of environmental impact. First, damages to human health are calculated by fate analysis, effect analysis and damage analysis to get the damage factor of health effect as a DALY(Disability Adjusted Life Years) unit. Second, damages to ecosystem are calculated by fate analysis, effect analysis and damage analysis to get the damage factor of the effect as a PDF(Potentially Disappeared Fraction) unit through linking potentially increased disappeared fraction. Third, damages to resources are carried out by resource analysis and damage analysis for linking the lower fate to surplus energy conception to get damage factor as a MJ(Mega Joule) unit. For the ranking of relative environment load level each other, LCIA can be carried out effectively by applying this E-score methodology to the particular emission substances. A case study has been introduced for the emission substances coming out of a tire manufacturer in Korea. It is to show how to work the methodology. Based on such study result, product-designers or producers now can apply the E-scores presented in this study to the substances of emission list, and then calculate the environment load of the product or process in advance at any time and can see the environment performance comparatively and expected to contribute to the environmental improvement in view of environmental pollution prevention.

• Journal of Engineering Education Research
• /
• v.21 no.6
• /
• pp.108-117
• /
• 2018

Given the substantial industrial and economic contributions of university start-ups, a growing number of studies have adopted the ecosystem perspectives to systematically explain creating start-ups in universities. Despite the huge theoretical potential, few studies have analyzed the complex, complimentary interactions of the core components in the university entrepreneurship ecosystems (UEEs). Addressing the limitation, this research not only discusses the role of the core ecosystem components, such as patents, entrepreneurship education, and student entrepreneurship clubs, but also analyzes their discrete and complimentary effects on the productivity of UEEs. Based on a national survey of universities, this study shows that all the core components have a positive effect on the ecosystem productivity. More importantly, this study investigated the complimentary relationships among components and tested the moderation effects of both the entrepreneurship education and the student clubs on the relationship between the patents and the productivity of UEEs. The analysis results show that the student clubs intensify the patents' positive effect on the productivity of UEEs. The research results could provide the crucial policy insights for the successful design of UEEs.

• Journal of Korean Society on Water Environment
• /
• v.18 no.4
• /
• pp.395-400
• /
• 2002

Lead is one of the most toxic metal and is detectable in practically all phases of environment and in all biological system. Transport, industrial and domestic waste products are the main sources of this pollutant. Ingested lead is rapidly absorbed and widely distributed throughout the body, causing extensive tissue damage. In this study, we chose the freshwater decapods Maceobrachium nipponnese as a sensitive indicator organism for environmental pollution. In order to investigate the possibility in use of $Na^+/K^+ATPase$ activity as a biomarker of lead pollution, we tested the acute toxicity of lead to Maceobrachium nipponnese. The $LC_{50}(96hr)$ value for lead in Maceobrachium nipponnese was found to be $446{\mu}g/L$ with the 95% confidence limits. The lead exposure group at $LC_{50}$ showed a significant $Na^+/K^+ATPase$ inhibition, depending on the exposure time. Comparision of several concentrations of lead revealed that the $Na^+/K^+ATPase$ activity in Maceobrachium nipponnese was significantly decreased in a concentration dependent manner. These results suggest that $Na^+/K^+ATPase$ activity in Maceobrachium nipponnese may possibly be used as a biomarker of lead pollution in aquatic ecosystem.

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