• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.358-365
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• 2023

As the Internet is used as a major channel for marketing and sales, the top ranking of search engine results is becoming a key competitor among websites. Various methods exist to maintain the top ranking of websites in search engines, typically investing heavily in organic coding or search engine optimization. The purpose of this paper, we present the ranking by recognizing factors that should be removed as negative factors when designing a web page in consideration of website visibility (SEO) because if website visibility is not met, the ranking may fall behind or be completely removed from the search engine index. The experiments that recognized and ranked the negative factors of website visibility proposed in this paper were provided through theory and experiments based on the existing website visibility analysis model. The models analyzed in this paper, we expressed or quantified as scores based on the methodology of each model, and 10 items were selected as negative factors through experiments and ranked as high scores. Therefore, when designing a website, it should be considered that the website is not removed from the search engine index as it is designed by excluding high-ranking items, which are negative factors.

• Journal of Information Technology Applications and Management
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• 제22권3호
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• 정보학연구
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• 제6권3호
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• pp.151-168
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• 2003

본 연구는 기본적으로 온라인과 오프라인의 통합마케팅을 설명하고 이에 관한 경험적 사례를 개발하기 위한 목적으로 진행되었다. 특히 중소 유통영역의 공생적 기반 위에 전개되는 온-오프라인의 경험적 사례를 개발하고 바람직한 마케팅방향을 방향을 제시하였다. 본 연구는 문헌연구와 사례연구를 병행하여 연구를 진행하였다. 사례는 인터넷 도매유통의 공생협력을 추진한 (주)Barokosa이다. 온-오프라인의 협력적 통합마케팅의 전략을 전개하기 위해서는 무엇보다도 온-오프라인의 뚜렷한 목표를 설정하고 성장방향에 대한 비전을 공유하고 나아가 온-오프라인의 사명을 감당하는 것이다. 실천적으로는 (1)항상 고객(customer)기반의 의사결정을 이루며 (2)철저한 협력적 돕는경쟁(competition) 의식과 (3)구성원 자신의 일에 대한 자신감(confidence)을 지니고 (4)실천을 위한 용기(courage)를 가지고 (5)혁신하여 변화(change)를 선도하는 것이다.

• International journal of advanced smart convergence
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• 제9권2호
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• pp.8-19
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• 2020

We see an energy fucused smart city evolution of the UK along with the project of "Smart London Plan (SLP)." A theoretical logic of business model innovation has been discussed and a research framework of evolving energy focused smart city is formulated. The starting point is the silo system. In the second stage, the private investment in smart meters establishes a basement for next stages. As results, the UK's smart energy sector has evolved from smart meter installation through smart grid to new business models such as water-energy nexus and microgrid. Before smart meter installation of the government, the electricity system was centralized. However, after consumer engagement plan has been set to make them understand benefits that they can secure through smart meters, the customer behavior has been changed. The data analytics firm enables greater understanding of consumer behavior and it helps energy industry to be smart via controlling, securing and using that data to improve the energy system. In the third stage, distribution network operators (DNOs)' access to smart meter data has been allowed and the segmentation starts. In the fourth stage, with collaboration of Ofwat and Ofgem, it is possible to eliminate unnecessary duplication of works and reduce interest conflict between water and electricity. In the fifth stage, smart meter and grid has been integrated as an "adaptive" system and a transition from DNO to DSO is accomplished for the integrated operation. Microgrid is a prototype for an "adaptive" smart grid. Previous steps enable London to accomplish a platform leadership to support the increasing electrification of the heating and transport sector and smart home.

• 무역학회지
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• 제47권3호
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• pp.57-73
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• 2022

The process and change of convergence in the economy and industry with the development of digital technology and combining with new technologies is called Digital Transformation. Specifically, it refers to innovating existing businesses and services by utilizing information and communication technologies such as big data analysis, Internet of Things, cloud computing, and artificial intelligence. Digital transformation is changing the shape of business and has a wide impact on businesses and consumers in all industries. Among them, the big data and analytics market is emerging as one of the most important growth drivers of digital transformation. Integrating intelligent data into an existing business is one of the key tasks of digital transformation, and it is important to collect and monitor data and learn from the collected data in order to efficiently operate a data-based business. In developed countries overseas, research on new business models using various data accumulated at the level of government and private companies is being actively conducted. However, although the trade and import/export data collected in the domestic public sector is being accumulated in various types and ranges, the establishment of an analysis and utilization model is still in its infancy. Currently, we are living in an era of massive amounts of big data. We intend to discuss the value of trade big data possessed from the past to the present, and suggest a strategy to activate trade big data for trade digital transformation and a new direction for future trade big data research.

• 정보처리학회논문지D
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• 제10D권1호
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• pp.85-100
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• 2003

오늘날의 컴퓨팅 시스템은 인터넷을 사용하여 비즈니스 거래와 분산 업무 처리로 확대되어가고 있으며 정보 기술은 점차적으로 재사용성과 독립성 그리고 이식성을 가진 컴포넌트를 기반으로 한 응용 개발이 확산되고 있다. 컴포넌트 개발 형태는 코드의 재사용이나 클래스 라이브러리보다 좀 더 발전된 형태의 부품개발 형태로서, CBD(Component Based Development)를 기초로 한다. 그러나, CBD를 이용하여 새로운 컴포넌트를 구축하는 비용의 증가와 함께 비즈니스 요구사항에 맞는 컴포넌트 개발을 위한 노력이 필요하며, 빠르게 정확한 컴포넌트 정보를 웹 상에서 지원할 수 있도록 시스템 측면에서 정규화 형태의 컴포넌트 모델이 요구되고 있다. 본 논문에서는 사용자의 요구사항에 접근하고 웹 상에서 빠르고 신속하게 애플리케이션이 개발되는데 목적을 두고 있으며, 네트워크 상에서 비즈니스 도메인을 기반한 가장 소규모 단위의 분산 컴포넌트를 대상으로 인터페이스 명세를 제공하고자 한다. 분산 컴포넌트 내부와 외부 관계를 담고 있는 명세는 사용자 중심의 컴포넌트를 제공하기 위해서 웹 상에서 요구사항을 작성하고 결국 이들은 조합되어 e-비즈니스 컴포넌트 명세 제공이 요구된다. 따라서 본 논문에서는 사용자가 분산 컴포넌트를 등록하고, 이에 대한 컴포넌트 정보를 검색말 수 있는 e-BCOS(e-Busines Component System)을 설계 구현한다. e-BCOS는 컴포넌트 등록. 검색을 위한 에이전트 시스템으로, 비즈니스 도메인에서의 분산 컴포넌트의 e-비즈니스 컴포넌트 개발을 통해 재사용성을 증대시키고, 웹 상에서 애플리케이션 구축을 빠르고 신속하게 처리될 수 있도록 하며, 사용자가 쉽게 컴포넌트에 관한 정보를 얻고 이해할 수 있도록 해준다. 또한 명세의 공유와 유통을 원활히 하기 위해서 XML(extensible Markup Language)로 명세를 표현하여 사용자의 다양한 욕구를 충족시키도록 한다. 따라서, e-BCOS는 에이전트에 의해서 효율성 증대와 시간 절약 및 신뢰성과 유지보수성을 증대할 수 있는 잇점을 가진다.

• 유통과학연구
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• 제14권5호
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• pp.97-106
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• 2016

Purpose - Social commerce is a certain way of how people buy some products together with others through the internet sites with mutual interactions among customers with the benefits of SNS when buying some products. At present, China market has some problems due to its rapid growing. However, empirical research or academic approach to social commerce has not been made enough. So, it is important for Chinese social market to develop and enlarge the customers with stability under the reliability and satisfaction. Also it is important for them to have repurchase intention. Nowadays, it is necessary to find the factors on customer satisfaction and trust, whereas consumers' dissatisfaction and unreliability are increasing on social commerce recently. In addition, researches on social commerce have been actively pursued by a variety of domestic and foreign scholars. However, researches on social commerce and Chinese market are short of, and they have some limitations because of the rapid growth of the market even though it is the early stage. The current situation requires researches on consumers' repurchase intention for continuing growth in the future according to the growth of Chinese social commerce. Research design, data, and methodology - The literature and the empirical studies are combined in order to achieve the purpose of the study. Deriving social commerce features and consumer properties as factors affecting the repurchase intention through the literature, and these factors have modeled a series of assumptions about the impact on satisfaction and trust, and have established hypotheses to verify them. The survey which is conducted to test the hypothesis and questionnaires are derived based on the variables discussed in the previous study. Appropriate measures were developed and tested on 227 respondents in China with a cross-sectional questionnaire survey. The path relationships of the research model were analyzed by SPSS 23.0 and Amos 23.0. Results - Research results about social commerce characteristics and factors affecting the repurchase intention are presented to Chinese market companies that adopt business models and consumer characteristics. In addition, this study focuses on the characteristics of social commerce, from two-dimensional characteristics of the consumer satisfaction, trust and the impact on the repurchase. Therefore, social commerce features and consumer properties based on the results of this study may lead the strategic implications that may increase the repurchase intention. Conclusions - The classification reviewing the previous findings related to social commerce and social commerce features affects social commerce repurchase (price discount, interactivity) and consumer characteristics (impulsivity, innovation, collectivism). It affects repurchase on factors and analyzes empirically. The empirical results identify major characteristics (social commerce characteristics, attributes) that affect the repurchase intention, and give the practical implications as well as the business strategies that are able to enhance social commerce repurchase consumers. Social commerce is a certain way of how people buy some products together with others through the internet sites with mutual interactions among customers with the benefits of SNS when buying some products.

• Journal of the Korean Data and Information Science Society
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• 제22권4호
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• pp.701-715
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• 2011

초고속 무선인터넷은 무선 인터넷의 전송속도가 약 1Mbps이상을 말하며, HSDPA, WiBro 등으로 이러한 서비스를 제공하고 있다. 본 논문은 초고속 무선인터넷 서비스의 단말기를 폰형과 모뎀형으로 정의하고, 단말기 형태와 이용하는 장소에 따라 어떤 콘텐츠들을 선호하는 지를 분석하는 연구이다. 이를 위해 범주형 자료분석에서 사용하는 수정된 잔차모형과 대응분석, 중대응분석을 이용하였다. 세 가지 모형에 의한 결과가 모두 달랐으며 대응분석과 중대응분석의 일치도는 50%, 수정된 잔차와 대응분석의 일치도는 26.3%, 수정된 잔차와 중대응분석의 일치도는 21.1%를 보였다. 이러한 차이는 수리적 모형의 차이에서 기인하고 있으며, 본 주제에서 추천하는 방법은 수정된 잔차모형이다. 수정된 잔차모형은 선호하는 콘텐츠 뿐 만 아니라 비선호하는 콘텐츠도 알 수 있으며 검정도 가능하다. 분석 대상 10개의 콘텐츠 중 세 방법에 의해 선택되지 않는 콘텐츠는 업무였으며, 나머지 콘텐츠는 적어도 한번은 선택되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2436-2457
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• 2023

The elderly population is rapidly increasing worldwide, but many face challenges in using digital tools like the Internet due to health and incapacity issues. Existing online search user interfaces (UIs) often overlook the specific usability needs of the elderly. This study proposes an adaptable web search UI model for the elderly, based on their perspectives, to enhance search performance and usability. The proposed UI model is evaluated through comparative usability testing with 20 participants, comparing it to the Google search UI. Effectiveness, efficiency, and satisfaction are measured using task completion time, error rate, and subjective preferences. The results show significant differences (p > 0.05) between the proposed web search UI model and the Google search UI. The proposed UI model achieves higher subjective satisfaction levels, indicating better alignment with the needs and preferences of elderly users. It also reduces task completion time, indicating improved efficiency, and decreases the error rate, suggesting enhanced effectiveness. These findings emphasize the importance of considering the unique usability needs of the elderly when designing search UIs. The proposed adaptable web search UI model offers a promising approach to enhance the digital experiences of elderly users. This study lays the groundwork for further development and refinement of adaptable web search UI models that cater to the specific needs of elderly users, enabling designers to create more inclusive and user-friendly search interfaces for the growing elderly population.

• 한국인터넷방송통신학회논문지
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• 제12권1호
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• pp.249-256
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• 2012

ePUB은 국제전자출판포럼(IDPF)에서 2009년 표준으로 발표된 이후로 가장 널리 사용되고 있는 전자책 포맷중 하나이다. ePUB은 ZIP Archive 형식으로 압축되어 있고, 내부적으로 OCF라 불리는 표준포맷으로 구조화되어 있다. 현재 국내외적으로 ePUB에 DRM을 적용하여 전자책 서비스가 활발하게 이루어지고 있으나 ePUB를 하나의 키로 암호화하고 있어 미리보기 기능 등과 같은 산업계의 다양한 요구 사항을 충족하지 못하고 있는 상황이다. 본 논문에서는 ePUB을 기반으로 한 전자책 콘텐츠를 단순하게 하나의 키로 암호화하지 않고, 다중 키 암호화 방식을 적용하여 보다 다양한 사업 모델의 적용이 가능한 방법을 제안하고자 한다. 다중 키 방식을 적용한 암호화 기법은 이를 위한 라이선스 발급 및 전송 기법, 그리고 eBook 리더에서 복호화하여 활용하는 기법과 병행하여 실제로 응용 가능한 형태로 제안한다. 제안된 다중 키 암호화 방식을 적용하게 되면 ePUB기반의 전자책 콘텐츠의 부분적 열람 기능이 가능하고, 이를 통하여 다양한 서비스 모델에 적용할 수 있으며, 단일 키 암호화 방식보다 보안성을 높일 수 있다.