• Title/Summary/Keyword: Product Data

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Effects of Verbal and Nonverbal Communication Subfactors on Purchase Intention through Empathy and Product Reliability

  • Ha-Eun Jeong;Mi Young Kim
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.6
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    • pp.1161-1179
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    • 2022
  • In this study, the effects of show host's verbal communication subfactors, such as paralanguage, friendliness, and professionalism, as well as nonverbal communication subfactors, such as demonstration attitude, appearance, and attractiveness, on purchase intention were examined by evaluating customer empathy and product reliability. Data was collected from 20s-50s females. SPSS 23.0 and AMOS 23.0 were used for data analysis. The results revealed that professionalism and friendliness had a positive impact on customer empathy; however, friendliness had a negative impact on product reliability. Moreover, nonverbal communication subfactors had a positive impact on empathy, and appearance had a positive impact on product reliability. In contrast, attractiveness had a negative impact on product reliability, whereas empathy and product reliability had a positive impact on purchase intention. Thus, ensuring appropriate verbal and nonverbal communication is essential for customer empathy and product reliability. Given that a show host's friendliness, professional verbal communication, demonstration attitude, appearance, and attractiveness have a positive impact on customer empathy, these factors should be considered critical qualities of show hosts.

Machine Learning-based model for predicting changes in user evaluation reflecting the period of the product (제품 사용 기간을 반영한 기계학습 기반 사용자 평가 변화 예측 모델)

  • Boo Hyunkyung;Kim Namgyu
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.91-107
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    • 2023
  • With the recent expansion of the commerce ecosystem, a large number of user evaluations have been produced. Accordingly, attempts to create business insights using user evaluation data have been actively made. However, since user evaluation can change after the user experiences the product, it is difficult to say that the analysis based only on reviews immediately after purchase fully reflects the user's evaluation of the product. Moreover, studies conducted so far on user evaluation have overlooked the fact that the length of time a user has used a product can affect the user's product evaluation. Therefore, in this study, we build a model that predicts the direction of change in the user's rating after use from the user's rating and reviews immediately after purchase. In particular, the proposed model reflects the product's period of use in predicting the change direction of the star rating. However, since the posterior information on the duration of product use cannot be used as input in the inference process, we propose a structure that utilizes information about the product's period of use using an auxiliary classifier. As a result of an experiment using 599,889 user evaluation data collected from the shopping platform 'N' company, we confirmed that the proposed model performed better than the existing model in terms of accuracy.

Influencing Factors of Cross Border E-commerce Export: Focusing on Product Characteristic (전자상거래 수출 영향요인 연구: 품목별 특성을 중심으로)

  • Jin-Kyu Kim;Yoon Lee
    • Korea Trade Review
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    • v.48 no.3
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    • pp.199-216
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    • 2023
  • Rapidly growing cross-border e-commerce exhibits different characteristics from traditional trade. This paper empirically investigates influencing factors of CBEC trade between Korea and foreign countries including product characteristics, such as product type and unit price. We construct panel data based on Korea's e-commerce export data by country and product and analyze it by the OLS, fixed effect, and random effect estimation. Our main findings can be summarized as follows: geographical distance still remained as an obstacle to the CBEC trade, product unit price, and durable consumer goods dummy variables positively affect e-commerce export of Korea, and capital goods dummy variables negatively affect e-commerce export. This research can help us understand the characteristics of cross-border e-commerce and can be used as a basis for future research using product-specific data.

Neo-Chinese Style Furniture Design Based on Semantic Analysis and Connection

  • Ye, Jialei;Zhang, Jiahao;Gao, Liqian;Zhou, Yang;Liu, Ziyang;Han, Jianguo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.8
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    • pp.2704-2719
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    • 2022
  • Lately, neo-Chinese style furniture has been frequently noticed by product design professionals for the big part it played in promoting traditional Chinese culture. This article is an attempt to use big data semantic analysis method to provide effective design research method for neo-Chinese furniture design. By using big data mining program TEXTOM for big data collection and analysis, the data obtained from typical websites in a set time period will be sorted and analyzed. On the basis of "neo-Chinese furniture" samples, key data will be compared, classification analysis of overall data, and horizontal analysis of typical data will be performed by the methods of word frequency analysis, connection centrality analysis, and TF-IDF analysis. And we tried to summarize according to the related views and theories of the design. The research results show that the results of data analysis are close to the relevant definitions of design. The core high-frequency vocabulary obtained under data analysis, such as popular, furniture, modern, etc., can provide a reasonable and effective focus of attention for the designs. The result obtained through the systematic sorting and summary of the data can be a reliable guidance in the direction of our design. This research attempted to introduce related big data mining semantic analysis methods into the product design industry, to supply scientific and objective data and channels for studies on design, and to provide a case on the practical application of big data analysis in the industry.

Integrated Structural Design of Oceanic Buildings using STEP (STEP을 이용한 해양건축물의 통합구조설계 기법)

  • 송화철
    • Journal of Korean Port Research
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    • v.14 no.1
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    • pp.77-86
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    • 2000
  • The planning process of complex projects in oceanic architectural engineering is characterized by the cooperation of many involved specialists and by a high degree of information exchange. In order to improve the quality of the structural design of oceanic buildings, information of different involved partners in the planning process has to be integrated. This paper aims to introduce a concept of the integrated structural design for the floating-type oceanic building using STEP(Standard for the Exchange of Product Model Data). STEP(ISO 10303) is an international standard for the computer-interpretable representation and exchange of product data and it provides a consistent data exchange format and application interfaces between different application systems. In this paper, the structural design process and information of oceanic buildings is analyzed and product models are preposed fir the exchange of the structural design information between superstructure and floating structure. The entities for calculating wind loads, metacenter and restoring forces are represented by Express. As a case study a floating hotel is applicated to describe the STEP physical file.

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An Extended Product Data Management System Supporting Personal Manufacturing Based on Connected Consumer 3D Printing Services (3D 프린팅 서비스 기반 개인제조를 지원하는 확장 제품자료관리 시스템)

  • Do, Namchul
    • Korean Journal of Computational Design and Engineering
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    • v.21 no.3
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    • pp.215-223
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    • 2016
  • The low price around 1000 USD makes consumer 3D printers as a new additive manufacturing platform for the personal manufacturing where consumers can make and sell their own products. To allow the consumers to design and manufacture their products, not only economic 3D printers but also supporting information systems for their design and manufacturing are essential. This study suggests an extended product data management (PDM) system that can support both the design and manufacturing of personal products with consumer 3D printing services. This extended PDM system helps consumer designers use advanced PDM technologies for their design and connected 3D printing services with Internet of Things (IoT) technology for realization of their products. As a result, the proposed system supports the consumer designers a seamless integrated product development and manufacturing environment supported by PDM and consumer 3D printing services.

A study of building DB for BTO system (주문 적응형 생산시스템의 DB 구성 방안에 관한 연구)

  • 임기수;박경호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.89-92
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    • 2002
  • As the use of Internet being generalized, ordering system can be easily achieved on the Web so that the direct sailing system is replaced the various types of Built-To-Order system. It is important to give the up-to-date information to the end-user in order to build the Built-To-Order system. Recently, the way of providing information is updating the product related information continuously. In this study, we provide the method that can be streamlined Product Data Management System which manages a creation and update for product information into the direct BTO system in order to achieve the newest information. This methodology is not only transferring the information but also processing the information in an appropriate form. So this paper is going to cover the various point of view of information processing.

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A IOCP-based Server for Product Information Management System of Small and Medium Size Manufacturing Companies (중소 제조업체의 생산정보 관리시스템을 위한 IOCP 기반 서버)

  • Rim, Seong-Rak;Song, Ki-Seok
    • Journal of Information Technology Applications and Management
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    • v.14 no.4
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    • pp.31-41
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    • 2007
  • In order to keep global competitiveness, most of small and medium size manufacturing companies require to equip a product information management system which collects and analyzes the data generated at the manufacturing lines and then provides information for manager or worker to make a decision. However, these companies have a cost problem for adopting the enterprise resource planning system mostly used in large companies. To overcome this problem, we suggest an IOCP-based server for the product information management system suitable for small and medium size manufacturing companies. The basic concept of suggested server is that it is possible to process concurrently the connection requests coming from data collector and client by using the facility of asynchronous notification of OS and protect a server against overload by using the thread pool.

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Design of Collaborative BOM Management System for Small and Medium Enterprises (중소 제조기업을 위한 협업환경지원 BOM 관리 시스템 설계)

  • Kim, Bo-Hyun;Jung, So-Young;Baek, Jae-Yong;Lee, Sung-Jin;Lee, Seok-Woo;Choi, Hun-Zong
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.4
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    • pp.254-260
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    • 2009
  • Most commercial PDM (product data management) systems, which have been released recently by overseas famous software vendors, are still expensive and heavy to apply to small and medium enterprises (SMEs). Proposed in this paper are an architecture and functions of collaborative BOM (bill-of-material) management system (cBOM-MS) which supports the internal BOM management by BOM Navigator, provides SMEs with constructing the collaborative BOM via Collaborative BOM Portal, and proposes an interface to extract BOM automatically from commercial CAD systems. In the design of cBOM-MS, BOM Navigator and cBOM Portal are positioned separately to reinforce the information security about product data during product development process.

Calculating a Sigma Level for Quality Measurement of 3D CAD Models from Their Error Occurrence Characteristics (3D CAD 모델의 품질 측정을 위한 오류 발생 특징 별 시그마 수준 분석)

  • You, Hyo-Sun;Yang, Jeong-Sam;Park, Jae-Il
    • IE interfaces
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    • v.24 no.1
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    • pp.58-70
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    • 2011
  • As more individuals and organizations participate in the complex design process of manufacturing industry, collaborative product development and management of the global supply chain have become more popular. Although the product quality concerns once focused on the manufacturing process, they are now directed at earlier stages of the design cycle where the engineering product is created as a 3D CAD model. In this paper, we describe the current state of product data quality activities in the manufacturing industry and the yardstick to measure 3D CAD data quality. Moreover we introduce a quality assurance method through the result of statistical analysis of 3D CAD models and suggest a six sigma level of CAD data quality by analyzing 76 samples provided from three Korean automotive companies.