• Journal of Convergence Society for SMB
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• v.1 no.1
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• pp.19-28
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• 2011

In today and near future, most of the commercially manufactured IT products will be evolved into software convergence product. Recently, the embedded software products is called as 'Software Convergence Products.' This phenomenon does not simply show the trendy fashion, but has the seriously implication that the functionalities of IT product is accomplished and evolved via software technology, not via mechanical nor electrical means. It will become true that the quality of the convergence product is dominantly governed by the software it uses. Meanwhile, we are facing with the threatening fact that software defects in the mass products will requires tremendous amounts of cost proportional to the quantity of the product. We can remind ourselves of the disasters that have been already happened, such as Automotive recalls, Smart-phone recalls, and others. In software engineering, there have been large amount of work done in software quality improvement for the past couple of decades. Software process improvement, and testings are the representative ones. But we are facing with limitations of those traditional approaches in current convergence industry; exponentially increasing software sizes and rapid changes in software technology. In this paper, we analyze the characteristics of the software convergence industry, the limitations of the traditional Software quality improvement approaches. We suggest a new approaches in software quality improvement in different angles of thought and philosophy.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.87-107
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• 2016

Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.279-285
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• 2012

This study classified the categorization process of convergence products as a rule-based and a similarity-based categorization process. And we examined that how the categorization process was determined according to information types(visual vs. visual + verbal) about the components of two prototypes before convergence and thinking styles(holistic vs. analytic). The result of this study showed: (1) The rule-based categorization process appeared more in case of visual information with verbal information than only visual information. (2) Analytic thinkers chose a rule-based categorization process more than holistic thinkers. These findings provide the theoretical and practical implications to comprehend the categorization process of convergence products and the judgement for consideration set from various convergence products.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.316-330
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• 2020

The study analyzes reviews of hardware products, customer service products, and products that take the form of a convergence of hardware and cloud services in ICT using text mining. We derive keywords of each review and find the differentiation of words that are used to derive topics. A cluster analysis is performed to categorize reviews into their respective clusters. Through this study, we observed which keywords are most often used for each product type and found topics that express the characteristics of products and services using topic modeling. We derived keywords such as "professional" and "technician" which are topics that suggest the excellence of the service provider in the review of service products. Further, we identified adjectives with positive connotations such as "favorite", "fine", "fun", "nice", "smart", "unlimited", and "useful" from Amazon Eco review, an integrated product and service. Using the cluster analysis, the entire review was clustered into three groups, and three product type reviews exclusively resulted in belonging to each different cluster. The study analyzed the differences whereby consumer needs are expressed differently in reviews depending on the type of product and suggested that it is necessary to differentiate product planning and marketing promotion according to the product type in practice.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.645-645
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• 2017

이른바 제4차 산업혁명시대에 즈음하여 산업 기술간 융합과 함께 IOT, AI등 첨단 하이테크 제품, 서비스의 수요가 더욱 증가되는 추세이다. 현재의 스마트세대는 1인 가구가 증가 추세이며 나 홀로족인 혼술, 혼밥 등 솔로 마케팅 연구가 많이 진행 되어 지고 있다. 본 연구는 이에 발맞추어 스마트세대를 대상으로 이성적, 감성적 커뮤니케이션과 구매자의 개인적 특성을 중심으로 AI기반 음성인식 서비스의 구매의도 영향을 알아보고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.263-266
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• 2019

본 연구에서는 주행승차감 및 안정성을 고려한 전동킥보드의 문제점을 해결하기 위해 역공학 기법을 사용하여 주요 시스템의 품질요소, 제품특성 등을 분석하고 사용자 요구사항을 도출하기 위해 품질기능전개(QFD: Quality Function Deployment)방법론을 적용하였으며 그 결과로 사용자 요구사항은 6개의 범주에서 20개를 도출하였으며 품질특성 요구사항은 16개 도출하여 최종 12개를 시스템 품질특성(CTQ: Critical To Quality)으로 선정하였다.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.249-255
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• 2021

This study proposed a method for determining weights for the eight quality characteristics, such as functionality, reliability, usability, maintainability, portability, efficiency, security, and interoperability, which are suggested by international standards, focusing on software test reports. Currently, the test results for software quality evaluation apply the same weight to 8 quality characteristics to obtain the arithmetic average. Weights for 8 quality characteristics were applied using the results from text analysis, and weights were applied using the results of text analysis of test reports for two products. It was confirmed that the average of test reports according to the weighted quality characteristics was more efficient.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.397-404
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• 2022

Recently, in the industrial field, various studies are being conducted on converging IIoT devices that combine low-power processes and network cards into industrial sites to improve production efficiency and reduce costs. In this paper, we propose a processing model that can efficiently manage products produced by attaching IIoT sensor information to infrastructure built in industrial sites. The proposed model creates production data using IIoT data collection, preprocessing, characteristic generation, and labels to detect abnormally processed sensing information in real time by checking sensing information of products produced by IIoT at regular intervals. In particular, the proposed model can easily process IIoT data by performing tracking and monitoring so that product information produced in industrial sites can be processed in real time. In addition, since the proposed model is operated based on the existing production environment, the connection with the existing system is smooth.

• Journal of the KSME
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• v.57 no.4
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• pp.36-40
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• 2017

대부분의 제품 개발에 있어 산업 디자이너와 기계공학 엔지니어 사이의 협업은 중요하다. 이러한 협업을 원활하게 수행할 수 있는 DesignEer를 양성하기 위한 특성화 교육 노력을 소개한다.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.291-308
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• 2022

The purpose of this study is to suggest an effective marketing method for product advertising. With regards to this, 148 copies of survey data were collected from consumers, and the hypothesis of this study was verified using SPSS 25.0. The results revealed that (1) Human Brand attractiveness had a positive effect on Human Brand attachment among the products of low involvement. (2) The uniqueness and the intimacy of Human Brand had a positive effect on Human Brand attachment among the products of high involvement. Through this study, the effect of reliability, expertise, attractiveness, uniqueness, and intimacy among human brand characteristics on human brand attachment, human brand attitude, and product purchase intention was confirmed, and it was also possible to confirm the difference in influence on human brand characteristics and purchase intention according to the product characteristics involved. This study has expanded the research scope of Human Brand, which has been studied mainly by entertainers and entrepreneurs, to sports stars and through empirical analysis, it has tried to identify influencing factors to improve purchasing intent based on high and low-contention characteristics of advertising products.