• Telecommunications review
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• 제25권4호
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• pp.605-621
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• 2015

The diffusion of smart devices has greatly influenced the market dynamics of the telecommunications industry. The competition paradigm has shifted from individual firm-based competition to ecosystem-based competition. To satisfy the diverse needs of market customers, it has become more important for telecommunications companies to form alliances with complementary partners in the ecosystem. This study empirically investigates the influence of ecosystem-based alliance formations on the financial performance of firms in the Korean telecommunications market. Specifically, the impact of a CPND (Content, Platforms, Networks, and Devices) alliance in the ICT (Information and Communications Technology) sector on firms' profitability is examined using a structural equation model. The results indicate that before the diffusion of smart devices, ecosystem-based alliance formations with other firms in the ICT ecosystem were not effective for enhancing profitability. However, after this diffusion, alliance formation between members of the value chain in the ICT ecosystem contributed significantly to firms' financial performance. This implies that recent alliances with firms that are constituents of the ICT ecosystem are an important element of profit generation in the ICT market in Korea.

• 경영정보학연구
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• 제15권1호
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• pp.25-43
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• 2013

한국의 스마트폰 시장은 그 성장세만큼이나 많은 변화를 거듭하고 있다. 이러한 가운데 2012년 5월부터 시행될 Whitelist Policy는 한국의 스마트폰 산업에 적지 않은 영향을 미칠 것으로 보인다. 본 사례 연구에서는 한국 스마트폰 시장을 산업 생태계 분석의 관점을 통해 바라보고, 스마트폰 시장의 생태계 모형을 제시한다. 이를 바탕으로 새로운 정책의 도입과 시장 변화를 스마트폰 산업 생태계의 각 주체들이 어떻게 대응해야 할 지에 대한 전략을 모색하고자 한다.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.187-201
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• 2014

As the complexity of business environment increases rapidly the use advanced information technology start to affect not only the business processes of individual companies but also the fundamental nature of business and industrial ecosystem. The changes observed at the level of business and industrial ecosystem encompasses a broad range of transformation. This unit of analysis is not sufficiently dealt with by existing information system research. This research attempted to analyze the changes in business ecosystem caused by digital transformation using Social Network Analysis. We studied structural change of the Korea film industry ecosystem chronologically divided by critical events. The film industry is chosen because it is an industry very sensitive to the changes in technology and has gone through massive transformation during the last three decade by way of using modern information technology.

• 한국콘텐츠학회논문지
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• 제20권8호
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• pp.1-9
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• 2020

지역 산업생태계의 노후화 문제가 점차 심각해지면서, 지역 산업생태계의 쇠퇴를 측정하고 재생하기 위한 연구가 활발히 이루어지고 있다. 하지만 지역 산업생태계 위기 예측에 관한 연구는 거의 이루어지지 않고 있다. 위기는 단기간에 걸쳐 급진적으로 나타나는데, 사후대응으로는 역부족인 경우가 대다수이므로 위기가 발생하기 전에 대응해야 한다. 즉, 지역 산업생태계의 위기를 조기에 파악하여 선제적인 대응을 하는 것이 장기적인 관점으로 바라봤을 때 더욱 필요하고 요구된다는 것이다. 이에 본 연구는 대용량의 뉴스 데이터를 활용하여 뉴스의 감성 점수에 따른 지역 산업생태계의 위기 예측 가능성을 점검하였다. Google 감성분석 API를 사용하여 뉴스 감성 분석을 실행하였고 이를 월별로 정리하여 감성 분석 결과 실제 이벤트 간의 연관관계를 확인하였다.

• 농촌계획
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• 제13권2호
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• pp.1-5
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• 2007

Shannon and Simpson indexes are used for species diversity analysis of ecosystem. In species diversity analysis of ecosystem, not only frequency of each species but also survey size have to be considered. In this study, total information composed with knowledge and ignorance was suggested as a species diversity analysis method for ecosystem survey. To apply developed method, flora in the Sangachun river valley was sampled with 19 sites and 198 species. In applying results, Shannon index shows more reasonable results than Simpson index by the variance of sample size but has difficulties of determining the relation of surveying species number and sample site number. Suggested total information can overcome this difficulty by the relation of knowledge and ignorance.

• Journal of Information Technology Applications and Management
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• 제24권4호
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• pp.71-92
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• 2017

Finding a root cause is an essential step to solving a complex problem. Some previous studies have used the Delphi method for gathering opinions about root causes from geographically dispersed experts. However, we assert that complicated problems such as an industry ecosystem would make a general type of the Delphi method less practical because of too much psychological burden on study participants. In this study we present a preliminary list-based Delphi study method for identifying a root cause. This method was used to identify a root cause and draw a causal map for the information industry ecosystem problems.

• 한국전자파학회논문지
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• 제27권7호
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• pp.588-598
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• 2016

본 논문에서는 전파 산업의 생태계 분석을 통해 산업발전을 위한 정책방향을 도출하고자 하였다. 이를 위해 전파 기술과 서비스의 발전에 따라 변화하는 전파 산업의 성장구조와 메커니즘을 제시하였다. 이 결과를 한국의 전파 산업의 생태계를 분석에 적용하여 계층적 구조에 의한 전파 산업 생태계 분석을 위한 평가지표를 제시하고, 산업 활성화에 영향을 미치는 정책요소를 도출하였다. 이들 결과로부터 전문가 인터뷰 조사를 실시하고, 미래 전파 산업 활성화를 위하여 필요한 5가지 요소의 활성화 정책 방안을 제안하였다.

• 한국건설관리학회논문집
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• 제16권3호
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• pp.132-142
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• 2015

건설산업은 다양한 참여자를 통해 하나의 시설물을 생산하는 것으로 계약의 망에 의해 움직이는 기업생태계의 특성을 가진다. 그간 국내 건설생산체계는 건설기업간 협력적 관계 형성 미비로 고비용, 저효율을 초래해 왔다. 이에 정부는 다양한 정책적 노력을 기울여 왔으나, 실질적인 협력의 성과는 아직 미흡한 실정이다. 본 연구에서는 기업생태계(business ecosystem)의 시각에서 건설생산체계를 근간으로 하는 건설기업간의 네트워크 방식을 기업생태계로 정의하고, 건설산업의 협력적 기업생태계를 진단하였다. 건설산업의 협력적 기업 생태계 조성을 위해서는 역량형 신뢰 또는 가치공유형 신뢰에 기반을 둔 협력 생태계의 형성이 필요하고, 건설업체간 상호의존도가 높고 협력관계가 지속되어야 하며, 무엇보다도 건설참여자의 수익 공유를 위해 적정공사비를 확보할 수 있는 여건이 마련되어야 한다.

• 한국IT서비스학회지
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• 제11권4호
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• pp.277-294
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• 2012

The purpose of this research is to analyze big data structure and various objects in big data industry based on ecological perspective. Big data is rapidly emerging as a highly valuable resource to secure competitiveness of enterprise and government. Accordingly, the main issues in big data are to find ways of creating economic value and solving various problems. However big data is not systematically organized, and hard to utilize as it constantly expands to related industry such as telecommunications, finance and manufacturing. Under this circumstance, it is crucial to understand range of big data industry and to which stakeholders are related. The ecological approach is useful to understand comprehensive industry structure. Therefore this study aims at confirming big data structure and finding issues from interaction among objects. Results of this study show main framework of big data ecosystem including relationship among object elements composing of the ecosystem. This study has significance as an initial study on big data ecosystem. The results of the study can be useful guidelines to the government for making systemized big data ecosystem and the entrepreneur who is considering launching big data business.

• 한국IT서비스학회지
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• 제12권4호
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• pp.461-472
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• 2013

Today, In the Service Industry are more getting a lot of convergence of IT utilization. And global IT companies are strengthening that platform based Services Ecosystems. These business in the field, Ecosystem Competitive strategy is difficult to imitate. And this strategy is generated organic Business Model that a by Competitive-Predominance to brings. In addition, the added value of the Service Industry is taken, a new type of job creation by the ripple-effect is huge. However, existing the Ecosystem Theory of Business is a lack of research on the use. Thus, Ecosystem Construction conditions is very difficult. This study is try to successful Platform Case's Analysis such as Apple, Google, Amazon, eBay's. These Ecosystems is that want to know the Major attributes. At first, would be analyzing to previous research, the Service and Knowledge Services' major attributes and Ecosystem studies' major attributes to grasp. Then, from a Group of Experts is to assess the importance. Finally, according to each Platform, examined the Correlation of Major Attributes.