• Title/Summary/Keyword: 비즈니스모델 평가

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Design and Analysis of Ubiquitous Social Network Management Service Model: u-Recruiting Service Model (유비쿼터스 사회연결망관리 서비스 모델 설계 및 분석: u-구인 구직 서비스 모델을 중심으로)

  • Oh, Jae-Suhp;Lee, Kyoung-Jun;Kim, Jae-Kyeong
    • Information Systems Review
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    • v.13 no.1
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    • pp.33-59
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    • 2011
  • Although online social network services widely used in human networking and recruiting industries, it is showing off its limitations in followings-it's hard to reach the status of seamless connection between offline and online; the incompletion and low credibility of the information came from non-face-to-face profile exchange; and the restraint of user autonomy due to centralized control. This paper defines the ubiquitous social network management which enables the seamless real-time face-to-face social interactions of the users based on WPAN (Wireless Personal Area Network) who share the same interest in real word and deduces a ubiquitous social network management framework based on it. As an instance of ubiquitous social network management, u-Recruiting service model will be designed and analyzed. The Analysis using the business model will be followed by the possible scenario of service model. The role, value proposition and potential benefits of the each participants in this service model and will be given as well. In order to evaluate relative advantages of the model suggested by this study, 6 cases will be compared.

The Cyber Transformation of Marketing Mix Model : An Empirical Study of Korean On-line Shopping Malls (마케팅 믹스 모델의 사이버 전환에 관한 실증적 연구)

  • 이영순;서봉철
    • Journal of Distribution Research
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    • v.7 no.1
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    • pp.105-127
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    • 2002
  • This paper presents an analysis of how the business models of organizations are getting transformed in the Marketspace created by the Internet. We use a research model comprising the transformation scores of four Ps(Product, Price, Promotion, and Place) as dependent variables and three dimensions, Demographics, Technology, and Community elements on the Websites, as explaining variables about the Cyber Transformation of the 4Ps. While most existing literatures have focused on Website's technology, our research model includes 22 five-point-scale items; 10 Demographics /Technology items and 12 Community items. To measure the 4P's transformation scores, the authors selected 14 workable items from the Marketspace Model by Dutta, Kwan, & Segev(1997). A sample of 123 shopping mall Websites comprising three categories(grocery, jewelry/accessory, and cosmetics) from the 100hot.co.kr list are evaluated and the data is analyzed by SPSSWIN 8.0 version. The result shows that there are five significant factors, Technology, Interaction, Connectedness, Business Features, and Domain, while the average transformation scores of 4Ps are at very low level. The factor scores are used in regression analysis for each P. Two factors, Technology and Interaction are influencing all four Ps; Connectedness is influencing only two, Product and Place. Organizations must not simply take their existing business models. They have to adopt the Technology items(navigation, logo, e-mail, guide, graphics) and to facilitate the Interaction items(consulting, number/quality of bulletin boards, participation, offline events) and Connectedness(club activation, contents, partner/site link, entertainment contents) in order to get transformed in the Marketspace successfully in the near future.

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Agile Framework for SOA-based Application Development (SOA 기반 애플리케이션 개발을 위한 Agile 프레임워크)

  • Shin, Seung-Woo;Kim, Haeng-Kon
    • The KIPS Transactions:PartD
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    • v.16D no.1
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    • pp.55-64
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    • 2009
  • Various business model and computing environments are currently merged into web services and many web related application products are also develop. Most of IT enterprises in Korea use the Service-oriented architecture (SOA) whenever they develop the web applications. SOA is an approach to loosely coupled, protocol independent, standards-based distributed computing where software resources available on the network are considered as Services. SOA is believed to become the future enterprise technology solution that promises the agility and flexibility the business users have been looking for by leveraging the integration process through composition of the services spanning multiple enterprises. But, There are no specific development methodology to apply into SOA standard model until now. The developer uses the currently existing methodology to develop the application with SOA. The users have some limitations to use it. In this paper, we suggest a Frameworks for applying agile methodology into SOA to address the productivity and quality of small web related project. We design and implement a frameworks architecture for applying the agile method into SOA and describe the process model to implement it. We finally evaluate the frameworks with productivity, flexibility and maintainability.

Adversarial Learning-Based Image Correction Methodology for Deep Learning Analysis of Heterogeneous Images (이질적 이미지의 딥러닝 분석을 위한 적대적 학습기반 이미지 보정 방법론)

  • Kim, Junwoo;Kim, Namgyu
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.11
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    • pp.457-464
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    • 2021
  • The advent of the big data era has enabled the rapid development of deep learning that learns rules by itself from data. In particular, the performance of CNN algorithms has reached the level of self-adjusting the source data itself. However, the existing image processing method only deals with the image data itself, and does not sufficiently consider the heterogeneous environment in which the image is generated. Images generated in a heterogeneous environment may have the same information, but their features may be expressed differently depending on the photographing environment. This means that not only the different environmental information of each image but also the same information are represented by different features, which may degrade the performance of the image analysis model. Therefore, in this paper, we propose a method to improve the performance of the image color constancy model based on Adversarial Learning that uses image data generated in a heterogeneous environment simultaneously. Specifically, the proposed methodology operates with the interaction of the 'Domain Discriminator' that predicts the environment in which the image was taken and the 'Illumination Estimator' that predicts the lighting value. As a result of conducting an experiment on 7,022 images taken in heterogeneous environments to evaluate the performance of the proposed methodology, the proposed methodology showed superior performance in terms of Angular Error compared to the existing methods.

A Two-Phase Component Identification Method using Static and Dynamic Relationship between Classes (클래스들 간의 정적ㆍ동적 관계에 의한 2단계 컴포넌트 식별방법)

  • Choi Mi-Sook;Cho Eun-Sook;Park Jai-Nyun;Ha Jong-Sung
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.1
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    • pp.1-14
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    • 2005
  • It is difficult to identify reusable and independent components in component-based development(CBD) process. Therefore existing methodologies have dealt the problem of component identification based on only developer's intuition and heuristics. As a result, it is difficult to identify the business components by common developers. Therefore, in this paper, we propose a new baseline and technique to identify the business components based on domain model such as use case diagrams, class diagrams, and sequence diagrams. proposed method identifies components through two phases; system component identification and business component identification. Especially, we consider structural characteristics as well as dependency characteristics according to methods call types and directions in identifying components. We also present a case study and comparative analysis and assessment to prove the practical use of our technique.

A Study on Personal Information Protection System for Big Data Utilization in Industrial Sectors (산업 영역에서 빅데이터 개인정보 보호체계에 관한 연구)

  • Kim, Jin Soo;Choi, Bang Ho;Cho, Gi Hwan
    • Smart Media Journal
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    • v.8 no.1
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    • pp.9-18
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    • 2019
  • In the era of the 4th industrial revolution, the big data industry is gathering attention for new business models in the public and private sectors by utilizing various information collected through the internet and mobile. However, although the big data integration and analysis are performed with de-identification techniques, there is still a risk that personal privacy can be exposed. Recently, there are many studies to invent effective methods to maintain the value of data without disclosing personal information. In this paper, a personal information protection system is investigated to boost big data utilization in industrial sectors, such as healthcare and agriculture. The criteria for evaluating the de-identification adequacy of personal information and the protection scope of personal information should be differently applied for each industry. In the field of personal sensitive information-oriented healthcare sector, the minimum value of k-anonymity should be set to 5 or more, which is the average value of other industrial sectors. In agricultural sector, it suggests the inclusion of companion dogs or farmland information as sensitive information. Also, it is desirable to apply the demonstration steps to each region-specific industry.

Research on Constructing a Sentiment Lexicon for the F&B Sector based on the N-gram Framework

  • Yeryung Moon;Gaeun Son;Geonuk Nam;Hanjin Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.10
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    • pp.11-19
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    • 2024
  • Online and mobile reviews strongly influence consumer behavior, especially in the service industry, and play a key role in determining customer retention and revisit rates. Systematically analyzing the information in these reviews can effectively assess how they directly influence customers' purchase decisions. In this study, we applied the existing KNU sentiment dictionary to food and beverage (F&B) review data to build a customized sentiment lexicon using N-grams based on about 10,000 reviews. Comparing its performance with the existing dictionary, we found that the sentiment lexicon generated using the 1-gram, 2-gram, and 3-gram models had the highest accuracy, precision, recall, and F1 scores. These results can serve as a powerful business support tool for SMEs in the F&B and grocery shopping sector, also be used to predict customer demand for technology and policy.

A Study on the Development Policy of Contents Industry in the Convergence Era: Focusing on the Evaluation of Status and Importance (융합시대 국내 콘텐츠 산업의 진흥정책 방향성 연구: 현황 및 중요도 평가를 중심으로)

  • Chung, Yoon-Kyung;Kim, Mi-Sun
    • Korean journal of communication and information
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    • v.57
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    • pp.227-249
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    • 2012
  • In the media convergence era, contents industry is raising core area in the government level. This study explores directions of development policy of national contents industry. So this study performs depth interview with 10 experts and investigates delphi research with 30 experts who are specialists in digital convergence area. Following the depth interview, there are three categories in the convergence contents - technical area, human resource area, and political area. The result shows that there is discordance between importance and present status each area. This finding suggests that there is political delay in the convergence media industry. In conclusion, it is necessary to look over the current limits and inspect defects. This study implicates further directions of national contents industry.

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Evaluation Model for the Stability of the Diagnostic Information System Incorporating the Quantitative Evaluation (정량적 평가를 도입한 정보시스템 안정성 진단 평가 모델)

  • Im, Hyeong-Do;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.313-316
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    • 2016
  • Highly probable cause of the current turmoil critical national infrastructure and private enterprise information systems failures or national event of an accident, it is inevitable huge hit in corporate business as well as a significant impact on the national benefit. This is a trend subject to the stability of the national management information system has a significant impact on people and society, such as banking, telecommunications, transport and energy, which can be extended into a private institution. However, public and private ICT business through the development of Information system Audit or CMMI(Capability Maturity Model Integration) certification check the quality of the target system, but quality check on the reliability of the information system operations after construction is either not promoting met for some safety test results a situation that does not enabled by insufficient. By preventing the disorder or an accident of this study, the diagnostic reliability information systems through inspection and evaluation system development of information systems being established, and to minimize service confusion and study ways to ensure customer - oriented service.

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Collaborative 3D Design Workspace for Geographically Distributed Designers - With the Emphasis on Augmented Reality Based Interaction Techniques Supporting Shared Manipulation and Telepresence - (지리적으로 분산된 디자이너들을 위한 3D 디자인 협업 환경 - 공유 조작과 원격 실재감을 지원하는 증강현실 기반 인터랙션 기법을 중심으로 -)

  • SaKong Kyung;Nam Tek-Jin
    • Archives of design research
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    • v.19 no.4 s.66
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    • pp.71-80
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    • 2006
  • Collaboration has become essential in the product design process due to internationalized and specialized business environments. This study presents a real-time collaborative 3D design workspace for distributed designers, focusing on the development and the evaluation of new interaction techniques supporting nonverbal communication such as awareness of participants, shared manipulation and tele-presence. Requirements were identified in terms of shared objects, shared workspaces and awareness through literature reviews and an observational study. An Augmented Reality based collaborative design workspace was developed, in which two main interaction techniques, Turn-table and Virtual Shadow, were incorporated to support shared manipulation and tele-presence. Turn-table provides intuitive shared manipulation of 3D models and physical cues for awareness of remote participants. Virtual shadow supports natural and continuous awareness of location, gestures and pointing of partners. A lab-based evaluation was conducted and the results showed that interaction techniques effectively supported awareness of general pointing and facilitated discussion in 3D model reviews. The workspace and the interaction techniques can facilitate more natural communication and increase the efficiency of collaboration on virtual 3D models between distributed participants (designer-designer, engineer, or modeler) in collaborative design environments.

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