• Title/Summary/Keyword: Convergence Product

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Analysis of Design Elements and Heating System of Domestic and Foreign Commercial Electrical Heated Clothing (국내외 발열의류의 디자인 요소 및 발열시스템 분석)

  • Kim, Kyuyeon;Kim, Siyeon;Lim, Daeyoung;Ha, Jisoo;Jeong, Wonyoung
    • Fashion & Textile Research Journal
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    • v.23 no.2
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    • pp.273-289
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    • 2021
  • This study aimed to examine the appearance of heated clothing in relation to fashion trends by analyzing constructive components of clothing using product images and actual products. A total of 91 images of domestic and foreign heated clothing products were collected, and a product analysis conducted with six parameters of item classification, namely, concept and image, silhouette, color, number of heating elements, and heating parts. In addition, an in-depth analysis was carried out with 11 products among them, while focusing on further detailed components of the design and heating system. As a result, the overall exterior design of domestic products has been changed from outdoor clothing to daily clothing reflecting the current design trend. Compared with domestic products, foreign products showed a diverse assortment and a greater number of heating regions per individual item of clothing. The current heating system commonly consists of a heating element, power source, controller board, and wires, although the existence and type of switches differed from product to product. To develop a more efficiently heated clothing to expand the market, the design, ease of use, safety, consumer preference, heating functionality, and durability should be considered. Along with design recommendations for future heated clothing, this study also provides a practical guide to the technical aspects of the design of the components of heated clothing.

A Study on Vulnerability Analysis Methodology for Composite Security Product Evaluation (합성형 정보보호제품 평가를 위한 취약성 분석 방법 개발에 관한 연구)

  • Kim, Seok-Soo;Song, Jae-Gu
    • Convergence Security Journal
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    • v.8 no.3
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    • pp.19-24
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    • 2008
  • Common Criteria is a standard to estimate safety of information protection product such as network-level firewall system and intrusion detection system. Recently, CC version is changed from CC v.2.3 to CC v.3.1. CC v.3.1 estimation methodology requires a secured dictionary accomodation preparation for information protection product. In this research, progressed CC v3 base composition product test and research about vulnerability analysis method. Further, this paper presents specific plan sorting composition style information protection product examination methodology to existing principle and detailed methodology.

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A Study on Product Search Service using Feature Point Information based on Image (이미지 기반의 특징점 정보를 이용한 제품 검색 서비스에 관한 연구)

  • Kim, Seoksoo
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.20-26
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    • 2019
  • With the development of ICT technology and the promotion of smartphone penetration, purchasing services that purchase various products through online market are being activated. In particular, due to advances in storage and delivery technology, sales of short food materials can be purchased online. Therefore, in this paper, we propose an integrated solution that enables advertisement effect, ordering and delivery through a purchase service even if there is no sales knowledge and sales network in a small shopping mall where only offline sales can be performed. The proposed system is able to efficiently view the product information by category through image search for the product that the user desires, so that the seller of the registered product can efficiently sell without any additional advertisement.

Understanding the Relationship between Value Co-Creation Mechanism and Firm's Performance based on the Service-Dominant Logic (서비스지배논리하에서 가치공동창출 매커니즘과 기업성과간의 관계에 대한 연구)

  • Nam, Ki-Chan;Kim, Yong-Jin;Yim, Myung-Seong;Lee, Nam-Hee;Jo, Ah-Rha
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.177-200
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    • 2009
  • AIn the advanced - economy, the services industry hasbecome a dominant sector. Evidently, the services sector has grown at a much faster rate than any other. For instance, in such developed countries as the U.S., the proportion of the services sector in its GDP is greater than 75%. Even in the developing countries including India and China, the magnitude of the services sector in their GDPs is rapidly growing. The increasing dependence on service gives rise to new initiatives including service science and service-dominant logic. These new initiatives propose a new theoretical prism to promote the better understanding of the changing economic structure. From the new perspectives, service is no longer regarded as a transaction or exchange, but rather co-creation of value through the interaction among service users, providers, and other stakeholders including partners, external environments, and customer communities. The purpose of this study is the following. First, we review previous literature on service, service innovation, and service systems and integrate the studies based on service dominant logic. Second, we categorize the ten propositions of service dominant logic into conceptual propositions and the ones that are directly related to service provision. Conceptual propositions are left out to form the research model. With the selected propositions, we define the research constructs for this study. Third, we develop measurement items for the new service concepts including service provider network, customer network, value co-creation, and convergence of service with product. We then propose a research model to explain the relationship among the factors that affect the value creation mechanism. Finally, we empirically investigate the effects of the factors on firm performance. Through the process of this research study, we want to show the value creation mechanism of service systems in which various participants in service provision interact with related parties in a joint effort to create values. To test the proposed hypotheses, we developed measurement items and distributed survey questionnaires to domestic companies. 500 survey questionnaires were distributed and 180 were returned among which 171 were usable. The results of the empirical test can be summarized as the following. First, service providers' network which is to help offer required services to customers is found to affect customer network, while it does not have a significant effect on value co-creation and product-service convergence. Second, customer network, on the other hand, appears to influence both value co-creation and product-service convergence. Third, value co-creation accomplished through the collaboration of service providers and customers is found to have a significant effect on both product-service convergence and firm performance. Finally, product-service convergence appears to affect firm performance. To interpret the results from the value creation mechanism perspective, service provider network well established to support customer network is found to have significant effect on customer network which in turn facilitates value co-creation in service provision and product-service convergence to lead to greater firm performance. The results have some enlightening implications for practitioners. If companies want to transform themselves into service-centered business enterprises, they have to consider the four factors suggested in this study: service provider network, customer network, value co-creation, and product-service convergence. That is, companies becoming a service-oriented organization need to understand what the four factors are and how the factors interact with one another in their business context. They then may want to devise a better tool to analyze the value creation mechanism and apply the four factors to their own environment. This research study contributes to the literature in following ways. First, this study is one of the very first empirical studies on the service dominant logic as it has categorized the fundamental propositions into conceptual and empirically testable ones and tested the proposed hypotheses against the data collected through the survey method. Most of the propositions are found to work as Vargo and Lusch have suggested. Second, by providing a testable set of relationships among the research variables, this study may provide policy makers and decision makers with some theoretical grounds for their decision making on what to do with service innovation and management. Finally, this study incorporates the concepts of value co-creation through the interaction between customers and service providers into the proposed research model and empirically tests the validity of the concepts. The results of this study will help establish a value creation mechanism in the service-based economy, which can be used to develop and implement new service provision.

A Study on the Determinants of Food and Beverage Products (식음료 상품의 경쟁우위차원에 관한 연구)

  • Son, Eun-Il;Kang, Tae-Gyong
    • Journal of Industrial Convergence
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    • v.1 no.1
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    • pp.115-126
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    • 2003
  • In order to examine the determinants of new product success, winning products are analyzed with a focus on merchantability. The specific dimensions of product advantage have not been studied as yet. As results of the analysis, the determinants are classified into function, aesthetics, economy, safety, usability, reliability, brand image, assurance, distribution channel, advertisement, DEF(design for the environment). This study augmented the data set through questionnaire survey to marketing professor in University. The results of this study would be a cue to the future direction of new product development and to management of exist product.

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Performance Evaluation of VLBI Correlation Subsystem Main Product (VLBI 상관 서브시스템 본제품의 제작현장 성능시험)

  • Oh, Se-Jin;Roh, Duk-Gyoo;Yeom, Jae-Hwan;Oyama, Tomoaki;Park, Sun-Youp;Kang, Yong-Woo;Kawaguchi, Noriyuki;Kobayashi, Hideyuki;Kawakami, Kazuyuki
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.322-332
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    • 2011
  • In this paper, we introduce the 1st performance evaluation of VLBI Correlation Subsystem (VCS) main product, which is core system of Korea-Japan Joint VLBI Correlator (KJJVC). The main goal of the 1st performance evaluation of VCS main product is that the perfection of overall system will be enhanced after checking the unsolved part by performing the experiments towards various test items at the manufacturer before installation of field. The functional test was performed by including the overflow problem occurred in the FFT re-quantization module due to the insufficient of effective bit at the VCS trial product in this performance test of VCS main product. Through the performance test for VCS main product in the factory, the problem such as FFT re-quantization discovered at performance test of VCS trial product in 2008 was clearly solved and the important functions such as delay tracking, daly compensation, and frequency bining were added in this VCS main product. We also confirmed that the predicted correlation results (fringe) was obtained in the correlation test by using real astronomical observed data(wideband/narrow band).

The Moderate Effect of the Attribute Alignability on the Relations Between Brand Attachment and Product Usage Behavior: Focus on Smartphone Users (브랜드 애착이 제품 사용 행동에 미치는 영향에 있어 속성 정렬 가능성의 조절적 역할: 스마트폰 사용자 중심으로)

  • Jo, Jae-Wook;Park, Seung-Bae
    • Journal of Convergence for Information Technology
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    • v.10 no.11
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    • pp.141-147
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    • 2020
  • This study examined the effects of brand attachment on internal modification behavior and usability expanding behavior of product. It has been found that the attribute alignable difference of product plays a moderating effect in internal modification behavior and usability expanding behavior. As a result of the study, the more brand attachment is high, the more behavior of product internal modification behavior and usability expanding behavior of product are high. In addition, consumers with high brand attachment showed greater internal modification behavior of the product when the difference of attribute alignability was high. Also, consumers with high brand attachment showed greater usability expanding behavior of the product when the difference of attribute non-alignability was high. Companies can improve brand attachment and retain loyal customers by increasing the difference of attribute alignability in consumer's product internal modification behavior. In terms of consumer's behavior of expanding product usage, we can strengthen brand attachment and can be used as a differentiated competitive advantage of products through the attribute nonalignable difference.

Small and Medium Venture Companies' Exterior Information Network Heterogeneity and New Technology Development Capability: The Mediating Role of Product Planning Capability (중소 벤처기업의 외부 정보 네트워크의 다양성과 신기술 개발 역량: 제품 기획 역량의 매개적 역할)

  • Hau, Yong Sauk
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.121-127
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    • 2018
  • Enterprises' new technology development capability is essential for creating successful product innovation and process innovation in the heavy competition in the business context changing quickly with technology convergence and development. Based on the open innovation perspective, this research develops a research model about the direct effect of small and medium venture companies' exterior information network heterogeneity on their new technology development capability and the mediating impact of their product planning capability on this direct effect. This study statistically tests the research model by using the ordinary least squares regression with the 683 small and medium venture companies, providing two major findings as follows. One finding is that small and medium venture companies' exterior information network heterogeneity positively impacts their new technology development capability. The other finding is that small and medium venture companies' product planning capability perfectly mediates the positive effect of their exterior information network heterogeneity on their new technology development capability.

Implementation of a pet product recommendation system using big data (빅 데이터를 활용한 애완동물 상품 추천 시스템 구현)

  • Kim, Sam-Taek
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.19-24
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    • 2020
  • Recently, due to the rapid increase of pets, there is a need for an integrated pet-related personalized product recommendation service such as feed recommendation using a health status check of pets and various collected data. This paper implements a product recommendation system that can perform various personalized services such as collection, pre-processing, analysis, and management of pet-related data using big data. First, the sensor information worn by pets, customer purchase patterns, and SNS information are collected and stored in a database, and a platform capable of customized personalized recommendation services such as feed production and pet health management is implemented using statistical analysis. The platform can provide information to customers by outputting similarity product information about the product to be analyzed and information, and finally outputting the result of recommendation analysis.

User Sentiment Analysis on Amazon Fashion Product Review Using Word Embedding (워드 임베딩을 이용한 아마존 패션 상품 리뷰의 사용자 감성 분석)

  • Lee, Dong-yub;Jo, Jae-Choon;Lim, Heui-Seok
    • Journal of the Korea Convergence Society
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    • v.8 no.4
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    • pp.1-8
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    • 2017
  • In the modern society, the size of the fashion market is continuously increasing both overseas and domestic. When purchasing a product through e-commerce, the evaluation data for the product created by other consumers has an effect on the consumer's decision to purchase the product. By analysing the consumer's evaluation data on the product the company can reflect consumer's opinion which can leads to positive affect of performance to company. In this paper, we propose a method to construct a model to analyze user's sentiment using word embedding space formed by learning review data of amazon fashion products. Experiments were conducted by learning three SVM classifiers according to the number of positive and negative review data using the formed word embedding space which is formed by learning 5.7 million Amazon review data.. Experimental results showed the highest accuracy of 88.0% when learning SVM classifier using 50,000 positive review data and 50,000 negative review data.