• Telecommunications review
• /
• v.25 no.4
• /
• pp.605-621
• /
• 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.

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

• Journal of Information Technology Applications and Management
• /
• v.21 no.4
• /
• pp.187-201
• /
• 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.

• The Journal of the Korea Contents Association
• /
• v.20 no.8
• /
• pp.1-9
• /
• 2020

As the aging problem of the regional industry ecosystem has gradually become serious, research to measure and regenerate the regional industry ecosystem decline has been actively conducted. However, little research has been done on regional industry ecosystem crises. Crisis emerges radically over a short period of time, and it is often impossible to respond by post-response, so you must respond before the crisis occurs. In other words, it is more necessary and required when looking at the crisis early and taking a proactive response from a long-term perspective. Therefore, it is necessary to develop a predictive model that can proactively recognize and respond to the crisis in the regional industry ecosystem. Therefore, this study checked the possibility of predicting the risk of regional industry and market according to the emotional score of the news by using large-scale news data. News sentiment analysis was performed using the Google sentiment analysis API, and this was organized by month to check the correlation between actual events.

• Journal of Korean Society of Rural Planning
• /
• v.13 no.2
• /
• pp.1-5
• /
• 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
• /
• v.24 no.4
• /
• pp.71-92
• /
• 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.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.27 no.7
• /
• pp.588-598
• /
• 2016

In this paper, we studied a policy direction for promoting radio industry by analyzing the ecosystem. For this, we drew the growing structure and mechanism of radio industries according to wireless technology and service development. We suggested policy elements for radio industry promotion, which is composed of technology development, service development, advancement of law and regulations, business model development, assistance of production and use, publicity enforcement for promotion. The concept and radio industry sector practices of the ecosystem analysis are analyzed by survey of experts. From this result, the 5 policy options are proposed.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.3
• /
• pp.132-142
• /
• 2015

A facility is built by participating of various parties who are connecting each other by network of contract. Domestic construction industry has been suffering with high cost and low efficiency due to lack of cooperative relationship among companies who participated in the project. The government has tried to resolve this problem by diverse policy support, but practical result has not been realized in the level of satisfaction. This paper defined construction business ecosystem in the aspect of business ecosystem as a network among construction companies based on diverse production system, and diagnosed cooperative business ecosystem in construction industry. For construction business ecosystem to be more cooperative business ecosystem, the result of diagnosis shows that the type of cooperation based capacity and value sharing should be developed and interdependence among companies and cooperative relationship should be durable and reasonable price for construction should be guaranteed for the participant to have a profit from the project.

• Journal of Information Technology Services
• /
• v.11 no.4
• /
• pp.277-294
• /
• 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.

• Journal of Information Technology Services
• /
• v.12 no.4
• /
• pp.461-472
• /
• 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.