• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
• /
• pp.433-434
• /
• 2014

Big Data services is composed of Big Data user, Big Data service provider, and Big Data application provider. And it is possible to extend the service to interplay-reciprocal actions among three subjects such as providing, being provided, connecting, being connected, and so on. In this paper, we propose an ecosystems of Big Data and a framework of its service.

• 한국정보시스템학회지:정보시스템연구
• /
• 제23권4호
• /
• pp.93-117
• /
• 2014

How can business ecosystems be a source of firm's competitiveness? Is corporate social responsibility (CSR) is an investment activity for building sustainable business ecosystems? The purpose of this research is to identify the relationship between CSR, social value, sustainable business ecosystems, and firm's competitiveness by introducing a mediating role of social capital. We conducted in-depth interviews with seven informants from two domestic firms and four oversea firms. Three propositions were drawn by analyzing qualitative data collected from the interviews and literature review. Various activities creating social value including CSR and CSV (Creating Shared Value) are positively associated with sustainable business ecosystems. Firm accumulates social capital of the business ecosystem through creation of social value. Finally, the social capital of business ecosystem has a positive influence on firm's competitiveness. Implications were suggested for academics and practitioners.

• STI Policy Review
• /
• 제7권2호
• /
• pp.35-59
• /
• 2016

The strategic importance of innovation ecosystems has received increased attention from both the academic and policy perspectives. However, there is only limited empirical evidence on the importance of these ecosystems from the perspective of younger firms. This study focuses on the role of ecosystems for young innovative companies (YICs) and is based on a unique set of phone survey data from Finland and South Korea. The results are threefold: (1) Finnish YICs participate more actively in ecosystems than Korean YICs; (2) on average, Korean YICs report to have experienced lower ecosystem impact compared to Finnish YICs; (3) in both countries, key organizations of the ecosystems are represented on the board of directors in about one-third of the sample firms.

• The Korean Journal of Ecology
• /
• 제28권6호
• /
• pp.405-415
• /
• 2005

This paper considers the advantage of Machine Learning (ML) implemented to freshwater ecosystem research. Currently, many studies have been carried out to find the patterns of environmental impact on dynamics of communities in aquatic ecosystems. Ecological models popularly adapted by many researchers have been a means of information processing in dealing with dynamics in various ecosystems. The up-to-date trend in ecological modelling partially turns to the application of ML to explain specific ecological events in complex ecosystems and to overcome the necessity of complicated data manipulation. This paper briefly introduces ML techniques applied to freshwater ecosystems in Korea. The manuscript provides promising information for the ecologists who utilize ML for elucidating complex ecological patterns and undertaking modelling of spatial and temporal dynamics of communities.

• 환경생물
• /
• 제42권2호
• /
• pp.207-218
• /
• 2024

Food webs have received global attention as next-generation biomonitoring tools; however, it remains challenging because revealing trophic links between species is costly and laborious. Although a link-extrapolation method utilizing published trophic link data can address this difficulty, it has limitations when applied to construct food webs in domestic streams due to the lack of information on endemic species in global literature. Therefore, this study aimed to develop a link extrapolation-based food web model adapted to Korean stream ecosystems. We considered taxonomic similarity of predation and dominance of generalists in aquatic ecosystems, designing taxonomically higher-level matching methods: family matching for all fish (Family), endemic fish (Family-E), endemic fish playing the role of consumers (Family-EC), and resources (Family-ER). By adding the commonly used genus matching method (Genus) to these four matching methods, a total of five matching methods were used to construct 103 domestic food webs. Predictive power of both individual links and food web indices were evaluated by comparing constructed food webs with corresponding empirical food webs. Results showed that, in both evaluations, proposed methods tended to perform better than Genus in a data-poor environment. In particular, Family-E and Family-EC were the most effective matching methods. Our model addressed domestic data scarcity problems when using a link-extrapolation method. It offers opportunities to understand stream ecosystem food webs and may provide novel insights into biomonitoring.

• 환경생물
• /
• 제21권3호
• /
• pp.223-233
• /
• 2003

본 논문에서는 하천생태계의 환경평가 기법과 생물다양성 관리시스템을 개발하여 한국의 하천에 적용한 사례를 소개하였다. 전국 하천에서 장기간 수집된 조사자료와 문헌자료 뿐만 아니라 북한강 수계의 일련의 하천들을 대상으로 종합적으로 실시한 야외조사를 바탕으로 하천생태계의 환경과 생물다양성에 대한 조사연구의 체계를 고찰하였고, 한국 하천의 주요 환경훼손 유형을 분류하였고, 하천자연도등급 간이평가표를 작성하여 제시하였으며, GIS를 적용한 하천생태계의 생물다양성 관리시스템에 사용될 환경 및 생물 요인의 속성자료 목록을 제시하였다. ArcView와 GEUS 프로그램을 이용하여 구축한 상기 생물다양성 관리시스템을 한국의 전형적인 중규모 하천인 가평천에 적용하였다.

• 한국습지학회지
• /
• 제25권4호
• /
• pp.408-416
• /
• 2023

IUCN 생태계 적색목록은 생물다양성의 감소 위험이 높은 생태계를 평가하고 식별하기 위한 글로벌 표준으로, 효과적인 생태계 관리 및 보전 정책 수립에 필요한 과학적 근거를 제공한다. IUCN 생태계 적색목록은 쿤밍-몬트리올 글로벌 생물다양성 프레임워크 목표 A의 핵심지표(A.1)로 지정하였다. 생태계 적색목록 평가는 특정 생태계 유형을 분포의 감소(기준 A), 제한된 분포(기준 B), 환경 황폐화(기준 C), 생물학적 상호작용의 변화(기준 D), 생태계 붕괴 위험의 정량적 추정(기준 E)으로 생태계 붕괴 징후를 판별한다. IUCN 생태계 적색목록은 2014년부터 110개 이상의 국가에서 평가를 진행하였다. 80% 이상이 육상 및 육상-담수 생태계에서 평가를 진행하였으며, 이중 열대림과 아열대림에 위협 받는 생태계가 집중 분포하고 있다. 평가 기준은 공간적 징후(기준 A 및 B)에서 68.8%로 집중되어 있다. 국내에서 생태계 적색목록을 평가를 적용하기 위한 고려사항은 크게 세가지로 나뉜다. 첫째, 국내 적용가 능한 지구 생태계 유형(GET)을 적립해야 한다. 둘째, 생태계 적색목록 범주·기준 중 공간적 징후 평가에서 국내의 소규모로 이루어진 다양한 생태계 유형에 적용 가능한지를 판단해야 한다. 마지막으로 평가를 위한 활용 가능한 시계열(50년) 데이터 수집을 고려해야 한다. 이러한 고려사항을 바탕으로 국내에 IUCN 생태계 적색목록 평가를 적용하면, 우리나라의 독특한 생태계 유형의 현재 상태를 정확하게 파악할 수 있을 것이며, 이는 세계적인 생태계 보전 및 복원 노력에 기여할 것이다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제24권3호
• /
• pp.47-74
• /
• 2015

Purpose By participating in the business ecosystems, customers make both positive and negative impacts in the ecosystem. In particular, users of platform businesses participate in the business ecosystem as partial employees who voluntarily create and manage content. According to the organizational behavior literature, employees' psychological ownership toward the organization has an influence on the organizational competitiveness. Thus, with an assumption that customers gain psychological ownership toward the business that they participate in, it is important to analyze the process and the factors that influence their psychological ownership. This study proposes a research model that describes the process: customers undertake customer socialization, which then lead them to participate in the business-level and the business ecosystem-level activities. Through the participation, customers gain psychological ownership toward the business. Design/methodology/approach Based on a structural equation model, this study analyzes the data regarding the factors in the research model. Data was collected by surveying college students who represent themselves as Facebook and DaumKakao users. By analyzing the collected data, the relationships are validated between customer socialization and customer participations (i.e., both business-level and business ecosystem-level participation), and between the participations and customers' psychological ownership. Findings Based on the validation, this study confirms the importance of managing customers' psychological ownership and offers customers' participation by their socialization as a solution for increasing customers' psychological ownership. Also, this study proposes the business ecosystem research model as the general research framework for future research and expands the scope of strategic management from the individual level strategy to the business ecosystem wide perspective.

• 유통과학연구
• /
• 제12권12호
• /
• pp.83-92
• /
• 2014

Purpose - A business ecosystem refers to mutually dependent systems interconnected by a loose foundation of various ecosystem members such as customers, suppliers, partners, and other stakeholders. The ecosystem-based strategy attempts to achieve competitive advantage for firms by enriching a business ecosystem or building a sustainable business ecosystem through the collaboration and co-evolution of its members. A sustainable business ecosystem is a source of competitiveness for firms anda manageable resource for gaining a competitive advantage. Customers represent the core membership of the business ecosystem and play a pivotal role in building a sustainable business ecosystem. This study examines the effects of customer participation on economic and social value in the business ecosystem and suggests a course of action for building a sustainable business ecosystem. Research design, data, and methodology - Two business cases of South Korea are selected from two different business types: business-to-business (B2B) and business-to-customer (B2C) firms. Business ecosystems for B2B and B2C firms reflect contrasting characteristics. Data was collected from in-depth interviews with four representatives of four firms. Results - The study suggested seven propositions for the relationships between customer participation and a sustainable business ecosystem through multiple case studies based on in-depth interviews. The results reveal the following four strategic actions for building sustainable business ecosystems based on the suggested propositions: alignment, systemization, socialization, and co-evolution. Alignment refers to achieving a harmonic balance or virtuous circle among the firm's mission, investment, and value creation. Systemization refers to building and implementing management and infrastructure systems rooted in the corporate culture. Socialization of customers in the business ecosystem reinforces the harmony or virtuous cycle. Finally, co-evolution is associated with the relationship between firms and customers as buyer firms in a restricted business ecosystem. Conclusions - This study considers multiple cases for the execution of a sustainable business ecosystem in collaboration with customers and suggests seven propositions and four strategic actions. The results are based on qualitative data from interviews with business associates from two firms in an open business ecosystem and two firms in a restricted business ecosystem, both in South Korea. Our research results regarding two contrasting business ecosystems shed light on business issues and policy making in Asian business environments, which are in the transition stages from a traditional conglomerate-driven to an inclusive growth-driven economy. The business ecosystem itself should be considered a manageable resource for firms' competitive positions in the market. A customer is a member of the business ecosystem and should thus be viewed not only as a purchasing entity and an object of relationship management but also as a co-creator of value. Therefore, firms should collaborate with customers to build sustainable business ecosystems. For this, firms must create social value, which cannot be created by customers alone, within the business ecosystem. Then, customers participate in a business ecosystem and build it to be favorable to them. Implications for academics and practitioners were suggested.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• 제5권3호
• /
• pp.76-85
• /
• 2024

The purpose of this study is to propose a new method of analysis focusing on interconnections between species rather than traditional biodiversity analysis, which represents ecosystems in terms of species and individual counts such as species diversity and species richness. This new approach aims to enhance our understanding of ecosystem networks. Utilizing data from the 4th National Natural Environment Survey (2014-2018), the following eight taxonomic groups were targeted for our study: herbaceous plants, woody plants, butterflies, Passeriformes birds, mammals, reptiles & amphibians, freshwater fishes, and benthonic macroinvertebrates. A co-occurrence frequency analysis was conducted using nationwide data collected over five years. As a result, in all eight taxonomic groups, the degree value represented by a linear regression trend line showed a slope of 0.8 and the weighted degree value showed an exponential nonlinear curve trend line with a coefficient of determination (R²) exceeding 0.95. The average value of the clustering coefficient was also around 0.8, reminiscent of well-known social phenomena. Creating a combination set from the species list grouped by temporal information such as survey date and spatial information such as coordinates or grids is an easy approach to discern species distributed regionally and locally. Particularly, grouping by species or taxonomic groups to produce data such as co-occurrence frequency between survey points could allow us to discover spatial similarities based on species present. This analysis could overcome limitations of species data. Since there are no restrictions on time or space, data collected over a short period in a small area and long-term national-scale data can be analyzed through appropriate grouping. The co-occurrence frequency analysis enables us to measure how many species are associated with a single species and the frequency of associations among each species, which will greatly help us understand ecosystems that seem too complex to comprehend. Such connectivity data and graphs generated by the co-occurrence frequency analysis of species are expected to provide a wealth of information and insights not only to researchers, but also to those who observe, manage, and live within ecosystems.