• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.434-445
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• 2006

정보 기술의 발전으로 금융 채널의 다양화를 이루게 되었으며, 최근 인터넷 뱅킹에 이어 모바일 뱅킹이 도입되면서 금융 채널의 다양화와 급속화가 진행되고 있다. 이는 차별적 고객 채널의 도입과 운용의 필요성을 제시하며, 고객의 특성 및 거래액, 고객이 느끼는 각 채널별 특성을 고려하여 고객 만족 전략을 전개할 수 있음을 시사한다. 본 연구는 다양화된 금융 매체의 특성과 금융 업무 처리를 수행함에 있어 각 매체별 사용량에 영향을 미치는 요인의 차이는 어떤 것이며, 금융 채널의 사용에 영향을 미치는 매체의 특성들이 반영된 상황 발생시 상황에 얼마나 부합되는 금융 채널을 선택하는지에 대해서도 실증 분석하였다. 연구결과, 오프라인 매체라 할 수 있는 은행 창구와 ATM은 입지에 민감한 금융 매체임에 따라 편리성이 사용량에 영향을 미치는 요인으로 나타났으며, 온라인 매체라 할 수 있는 폰뱅킹, 인터넷 뱅킹, 모바일 뱅킹은 입지나 위치와는 상관없는 기술적 안전성이 보장되어야 하는 신뢰성이 사용량에 영향을 미치는 요인으로 나타났다. 본 연구에서는 금융 매체별 사용량에 영향을 미치는 특성을 파악함으로써 금융 기관의 차별적 고객 채널의 도입과 운용의 필요성을 제시하고 있다.

• Journal of Wind Energy
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• v.15 no.3
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• pp.5-20
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• 2024

This study examines how ecological impacts are addressed in the siting processes of European countries that are international leaders in offshore wind energy, and draws implications for Korea. The United Kingdom, Germany, the Netherlands, and Denmark are the countries with the most offshore wind installations after China. These European countries conduct strategic environmental assessments (SEAs) and appropriate assessments (AAs) at both the overall site planning stage and the individual site decision stage to evaluate ecological impacts from offshore wind power. In the UK, the SEA and AA for offshore wind are conducted separately at different stages of the siting process. Germany has three siting stages, and the Netherlands and Denmark have two siting stages, each of which includes both an SEA and an AA. Compared to the SEA, which assesses overall ecological impacts, the AA is limited to impacts on Natura 2000 sites, a network of protected areas for species and habitats. The ecological impacts of offshore wind are examined for birds, bats, marine mammals, fish, and benthic organisms.

• Journal of the Korean Geographical Society
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• v.36 no.3
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• pp.278-291
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• 2001

This paper is to build a spatial decision support system designed to solve problems relevant to the decision-making for retail center locations. For construction of the system this paper discusses the primary procedures of spatial modeling and issues of data, which are required for integrating spatial interaction models to GIS having capability of managing, analyzing and visualizing spatial data sets. Lexington, Kentucky, is selected as a case study to implement the spatial decision support system based on the spatial modeling module. This system for retail center locations is useful of estimating the catchment areas more accurately and analyzing resultant flow patterns. And this system can make spatial analysis efficiently for what-if scenarios such as an intended retail center or changing demand. The benefits of adopting this system allow the decision makers to plan the investment strategies and search for stable market structure.

• Journal of Korea Foresty Energy
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• v.19 no.2
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• pp.69-78
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• 2000

This study was conducted to investigate the growth patterns of Maackia amurensis growing in natural forest of Mt. Joongwang, Pyongchang-gun, Kangwon-Do, Korea. The 28 sample plots(30m$\times$30m) wee established to examine the vegetation and environmental conditions for M. amurensis forest. Stem analysis was performed on two sample trees of M. amurensis for each of the 5 plots situated at intervals of one hundred meters by altitude. The results obtained were as follows: ⑴ Height growth of M. amurensis increased with increasing age until 10 years, and then decreased thereafter, especially at altitude of 1,020m. ⑵ M. amurensis showed rapid early growth of height and volume, indicating high biomass production under favorable environment. This growth pattern is typical of pioneer species such as Cornus controversa and Betula costata. ⑶ The rotation age of natural M. amuensis forest was estimated at above 50 years, and especially at about 60 years in 840m above the sea level. ⑷ Growth of M. amurensis increased greatly at about 40 years when released from severe competitions.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.688-697
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• 2018

The following research was conducted to encourage residents in urban areas to move to rural areas, and to improve the residential environments in those rural areas. Current policies for rural village development Project were analyzed, and policy implications were proposed. Residents in rural villages participated in a 12-question survey that asked their priorities prior to moving to the area, and factors contributing to resident satisfaction. Importance and Performance Analysis (IPA) was performed to present potential development strategies in the construction business. As a result, 'natural environment and landscapes' had the highest priority and satisfaction, whereas 'lack of public transportation and accessibility' and 'road conditions and parking facilities' had high priorities but low satisfaction levels. Thus, it is important to take nature and environment, as well as accessibility into consideration when moving to rural villages. Although this research was based on residents' bias, and the sample area was limited, these conclusions still offer important policy agreement provide of future rural villages location selection and establishment of land use planning.

• Journal of Environmental Impact Assessment
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• v.23 no.4
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• pp.237-250
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• 2014

A wide range of projects for ocean renewable energy are currently in development around the world and ocean energy industries continue to receive significant support from their governments. Surrounded by sea on three sides, Korea has potentially abundant renewable ocean energy resources, which include tidal current, tidal range, offshore wind power, osmotic pressure and ocean thermal energy. Numerous ocean renewable energy projects has been developed in Korea. Nevertheless, there are some concerns that those developments often select an environmentally unsuitable location and/or there are very few existing information on those environmental effects. The purpose of this study is to improve supporting policies and regulation systems of ocean renewable energy development in Korea by reviewing and compiling government policies and environmental assessment systems related to ocean renewable energy development around the world. The study suggests several policy implications for its environmental-friendly development in Korea, including requirements of strategic environmental assessment for proactive and environmentally suitable site selection of ocean renewable energy development and continuous post-development environmental monitoring, and so on.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.486-496
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• 2012

In recent years, the retail industry has been undergoing major shifts. Outlet malls are an important part of the new retail landscape. This paper seeks to increase the understanding of the shopping experiences of visitors to a Premium outlet shopping mall in Shinsagae Chelsea Premium Outlet at Paju City, Gyeongi-do. This paper analyze the Element of the premium outlet across demographics. It explores seven critical factors which significantly influence customers' perceptions of premium outlet. Findings are base on a mall intercept survey with 292 respondents across a range of demographics. The summary of 7 factor is classified as the visual, location, Shopping support, human traces, mood, transit expedience, and tenant. The main implication of these findings is that factory outlet stores are perceived favourably and that they need to build more positive marketing strategies accordingly.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.599-621
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• 2011

The role of local economies in pursuing national economic development has expanded with greater influence. So a number of countries have adopted industrial cluster policies for regional and national economic development. Korean government, by the same token, puts emphasis on industrial cluster policies. But the academic studies on the necessities and effects of industrial clusters for Korean shipbuilding industry have been carried out little in Korean due to the lack of empirical studies on Korean industrial clusters. So this study focuses on analysing the industrial clusters in the Busan, Ulsan, Koungnam as southeast area of Korea. To be more specific, this study intends to provide answers to the following question: Are there industrial clusters in the Busan, Ulsan, Koungnam as southeast area of Korea analysed by the Location Quotient(LQ) analysis method? And as a consequence, Shipbuilding industrial clusters of southeast area of Korea were not identified.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.193-201
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• 2019

The public's interest regarding multi-household houses, one of the small-scale housings used as profit earning property, has been increasing. Previous studies regarding price, such as the rent and sales price of multi-household houses', however, were difficult to find. Thus, this study set forth to find out what characteristics influence the sales price of multi-household houses so as to provide further suggestions to investors' decision makings and developers' strategy establishments. The data was retrieved from multi-household sales transacted in Changwon City. Through empirical analysis, this paper found that prices were high in Euichang-gu and Seongsan-gu, and meaningful variables in terms of locations were distance from major trade areas(-), distance from main streets(-), and Corner site(+). Meaningful variables related to household characteristics were total floor area(+), Studio type(+), Southern exposure(+), Building age(-), and Full-furnished(+).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.22-24
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• 2021

This paper is a proposal for edge weight prediction using neural networks to graph configurations of nodes and edges. Brand is one of the components of society. and one of the brand's most important strategies is geographical location strategy. This paper is focus on that strategy. In This paper propose two things: 1) Graph Configuration. node consists of brand store, edge consists of store-to-store relationships and edge weight consists of actual walk and drive distance values. 2) numbering edges and training neural networks to predict next store distance values. It is expected to be useful in analyzing successful brand geographical location strategies.