• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.798-802
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• 2003

본 논문은 M-Commerce에 대해 주요 특징 및 장ㆍ단점을 살펴보았으며, 국 내외 M-Commerce의 현황에 대해서도 고찰하여 두었다. 국외 현황으로는 미국, 유럽, 일본을 중심으로 살펴보았고, 국내 현황으로는 기존의 문헌을 토대로 구찰하여 두었다. 이들을 근간으로 하여 M-Commerce구축 시 주요성공요인을 도출하였다. 주요성공요인으로는 비용적인 측면, 화상 및 음악, 게임위주 개발, 개인화된 컨텐츠, 보안을 고려한 개발, B2B와의 연계, 독자적인 M-Commerce모델개발 등으로 나타났다. 이들 주요성공요인에 대한 사례연구로 국내 K이동통신 회사를 중심으로 고찰하여 두었다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2004.06a
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• pp.29-34
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• 2004

본 연구에서는 Mobile Commerce(M-커머스) 사이트의 신뢰도에 영향을 미치는 요인들을 거래안전성, 기업이미지, 검색기능성 그리고 결제편의성으로 분류하여 관련 연구들을 통해 검증된 요인들을 추출하였다. 그리고 M-커머스 사이트의 현재 또는 잠재 고객들을 대상으로 직접 설문조사를 통해 M-커머스 사이트의 신뢰도에 영향을 미치는 요인을 식별해냄으로써 고객과의 신뢰형성을 위해 최우선적으로 고려해야 할 방향을 제시하고 M-커머스의 활성화에 기여하고자 한다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.199-205
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• 2003

본 연구의 목적은 한일 온라인게임 시장의 고객을 세분화하여 국내기업이 일본 온라인게임 시장에 진출할 때 고려해야 될 전략을 도출하는데 있다. 이를 위해 MCFA와 SOM을 이용하고자 한다. 먼저 MCFA를 통해 한일 온라인게임 시장의 고객 몰입에 영향을 주는 요인들이 무엇이며, 이러한 요인의 측정 동질성이 같은지를 먼저 검증하였다. 이러한 방법을 통해 검증된 요인으로는 도구, 보상, 디자인, 정보제공, 공동체를 들 수 있다. 다음으로 SOM을 이용해 위에서 구한 요인을 기준으로 한일 온라인게임 시장의 고객을 세분화하고자 한다. 이후 이렇게 세분화된 고객의 특성을 도출하기 위해 Decision Tree를 이용하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.141-142
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• 2020

국제해사기구(International Maritime Organization, IMO)에서 해양안전과 환경보호를 위해 국제규범들을 도입 및 시행 중에 있다. 그러나, 크고 작은 해양사고는 지속적으로 발생하고 있으며, 인명사상, 환경오염을 유발하는 심각한 선박사고는 꾸준히 발생하고 있다. 이에, 인적요인 역할 강화를 위해 IMO에서는 선원교육훈련 지침의 개발을 결정하였다. 본 연구에서는 동 지침의 개발을 위한 주요 고려사항들과 해양사고사례에 얻은 교훈의 효과적인 활용을 위해 IMO의 다양한 인적요인관련 국제지침들과 교육 요령 등을 분석하여, 적절한 교육기법 및 프레임워크를 제시하였다.

• Korean Journal of Environment and Ecology
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• v.8 no.1
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• pp.11-26
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• 1994

The criteria which have been used for the assessment of wildlife conservation values and particularly botanical values during the last decade, 1969~1986, were reviewed in order to select an appropriate set of criteria applicable for Korea. Fifteen studies, including studies of particular sites reviews of ecological evaluation are reviewed. Four criteria, rarity, diversity, size & extent and naturalness were used in more than half of these studies reviewed. The sixteen components were arranged with the scale of the sites, in view of the Korean situation. The human Interference, ecological fragility. as well as rarity, etc. were major components to be considered at small scale sites. In the contrary, area, diversity position in ecological and geographical unit, and naturalness, etc. considered the major components at larger scale sites. The components such as uniqueness, typicalness, research and educational, etc. were considered both applicable. Although this criteria should be tested by applications in the field and amended there after, It will be one of the first-step to evaluate of the protected areas, as well as specific plant species in the future.

• Journal of Energy Engineering
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• v.23 no.2
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• pp.158-169
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• 2014

In the context of $CO_2$ mitigation, how early reduction action taken by individual companies previous to the actual regulated period is implemented at the free allocation process, remains one of the major issues. This article considered efficiency factor as a criterion for the early action. Then the emissions allowance allocated was compared and analyzed with and without the consideration of early action. In the cases of manufacturing sectors of Korea for the period 2001~2009, it is shown that emissions in the all industries fell by their efficiency factors. The amounts of emissions allowance allocated to the all industries except petro-chemistry are increased when EA is counted in the allocation process.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.477-488
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• 2022

The purpose of this study is to examine how factors that select Airbnb service affect service satisfaction and the moderating effect according to marital status. The subjects of this study are customers who who have used Airbnb services in the metropolitan area. The questionnaire survey was conducted with 150 people, and the results were analyzed and hypothesis testing was performed using Structural Equation Model(SEM). As a result of the study, it has been found that price, online review, and Unique Experience Expectation(UEE) among the factors that selected Airbnb have positive effects on service use satisfaction. In addition, marital status has been found to play a mediating role among price, UEE and customer satisfaction. For single customers, price is an important factor influencing service satisfaction, but for married customers, it is not. In this sense, it is important not only to conduct marketing and promotions considering only gender, but also to provide services according to whether they are single or married.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.71-76
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• 2013

We analyzed the introduction factor of ASP-based information system on the order of importance using AHP techniques. We classified the introduction factors from previous studies into three categories : Organizational factors revealed organizational factors to be of highest importance, followed by environmental and Quality factors. The analysis on both primary and secondary hierarchical factors revealed CEO support as the most important, followed by IT capability, provider reliability, and cost-cutting expectation.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1511-1523
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• 2016

The increasing trend of the five violent crimes (murder, robbery, rape, violence, theft) in Korea is not independent of social and economic factors. Several social science research have discussed about this issue but most of them do not properly reflect the nature of the time-series data. Based on several time series models, we studied about the endogenous factors (time, seasonal and cycle factors) and exogenous factors (economical, social change and crime control factors) on violent crime occur in Korea. Autocorrelation were also taken into account. Through this study, we want to help to make preventive policy by explaining the cause of violent crime and predicting the future incidence of it.

• Journal of The Korean Society of Grassland and Forage Science
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• v.41 no.1
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• pp.47-55
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• 2021

The objective of this study was to access the effect of climate and soil factors on alfalfa dry matter yield (DMY) by the contribution through constructing the yield prediction model in a general linear model considering climate and soil physical variables. The processes of constructing the yield prediction model for alfalfa was performed in sequence of data collection of alfalfa yield, meteorological and soil, preparation, statistical analysis, and model construction. The alfalfa yield prediction model used a multiple regression analysis to select the climate variables which are quantitative data and a general linear model considering the selected climate variables and soil physical variables which are qualitative data. As a result, the growth degree days(GDD) and growing days(GD), and the clay content(CC) were selected as the climate and soil physical variables that affect alfalfa DMY, respectively. The contributions of climate and soil factors affecting alfalfa DMY were 32% (GDD, 21%, GD 11%) and 63%, respectively. Therefore, this study indicates that the soil factor more contributes to alfalfa DMY than climate factor. However, for examming the correct contribution, the factors such as other climate and soil factors, and the cultivation technology factors which were not treated in this study should be considered as a factor in the model for future study.