• Management & Information Systems Review
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• v.26
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• pp.153-180
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• 2008

Most previous electronic commerce studies have focused on a single product or similar products. The effects of different product types have been relatively neglected. and so previous studies have limited the generalization. The purpose of this study was to explore the effects of different product types. The Internet product and service classification grid proposed by Peterson et al.(1997). A survey-based approach was employed to investigate the research questions. Regression analysis demonstrated that the determinants of online shopping acceptance differ among product or service types. As a result of analysis, personal innovativeness of information technology, perceived Web security, personal privacy concerns, and product involvement can influence consumer acceptance of online shopping, but their influence varies according to product or service types.

• Journal of Information Technology Services
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• v.8 no.1
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• pp.217-229
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• 2009

Manufacturers have recently faced such problems like limitation of product differentiation, product commoditization and increased service request level from customers, Some manufacturers have responded the problems by introducing new business model, 'product and service integrated offering', which integrate product and its services as a bundled package, This article introduces innovative 7 cases of 'product and service integrated offering', and provides case analyses : types, methods, purposes, and risks of integration, The result of analysis, 4 strategic directions for product and service integration offering, could help manufacturers to adopt and build their model successfully, Further research topics are field survey with meaningful sample size including Business-to-Consumer and finding new causal relationships among variables like characteristics of industry, product, Integration, interaction between provider and customer, A development of design methodology on how to plan and develope a sound product service integration is the second next step for the research.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.8
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• pp.140-150
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• 2000

In this paper module of a product is determined by the characteristics of a product itself and process. To analyze the characteristics of the product information on subassemblies and parts can be obtained by analyzing the existing product. Based on the analysis of characteristics of product structure and function determination rules of a module degree could be proposed for assembly and disassembly process and product structure and function. By applying these rules of a module, module of a product is classified into full half and non-module depending on the module degree of a product. As a result of module degree analysis simpler assembly process and reduced structural interference can be realized. For the product function simpler updated and multi function can be also achieved.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.11-15
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• 1997

This study deals with the method for modeling relationship between human sensibility and design dldments of a product for applying human sensibility to product development, Inorder to extract sensibility characteeristics concerning a product, we figured out the relationship between xensibilith and design elements using corrdlation analysis and multiple regression analysis, and then modeled the realtionship between then through multiple objective linert programming. The results of this study can be effectively applied to develop a product based on human sensibility

• The Journal of Information Systems
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• v.31 no.2
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• pp.159-177
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• 2022

Purpose Online reviews are critical for sales of online shopping platforms because they provide useful information to consumers. As the eCommerce market grows rapidly, the role of online reviews is becoming more important. The purpose of this study is to analyze how online reviews written by domestic consumers affect product sales by classifying the types of products. Design/methodology/approach This study analyzed how the effects of review characteristics(reviewer reputation, reviewer exposure, review length, time, rating, image, and emotional score) on the usefulness of online reviews differ depending on the product types. Subsequently, how the impact of review attributes (review usefulness, number of reviews, ratings, and emotional scores) on product sales differs according to each product type was compared. Based on the FCB Grid model, the product type was classified into high involvement-rational, high involvement-emotional, low involvement -rational, and low involvement-emotional product types. Findings According to the analysis result, the characteristics of reviews useful to consumers were different for each product type, and the review attributes affecting product sales were also different for each product type. This study confirmed that it revealed that product characteristics are major consideration in evaluating the review usefulness and the factors affecting product sales.

• Journal of Distribution Science
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• v.18 no.10
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• pp.111-119
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• 2020

Purpose: The purpose of the current study is to examine the effects of labeling information on the consumers' evaluation, with a focus on the effects of the three types of labeling information on the product quality. Research design, data and methodology: This study conducted a survey of the women respondents living in Gyeonggi province, Korea, during the time period of April 20th through May 30th, 2020. The sample data have been used to run regression analysis, reliability analysis, frequency analysis and factor analysis. Results: The empirical results are summarized as follows: 1) the labeling information on the brand image has a significantly positive effect on the consumers' evaluation about product's functional quality; 2) the labeling information on the product characteristics has a significantly positive effect on the consumers' evaluation about the expressed quality; and 3) the labeling information on the brand image has a significantly positive effect on the consumers' evaluation about the perceived quality. Conclusions: The conclusion is that the labeling information on product characteristics and the brand image is estimated to be statistically significant, therefore the Korean outdoor-wear industry are required to upgrade the information on the brand image and the product characteristics.

• The International Journal of Costume Culture
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• v.2 no.2
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• pp.71-79
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• 1999

The purposes of this study were to 1) identify types and usage levels of production 2) classify apparel manufacturers based on production systems and 3) investigate relationship between characteristics of apparel manufacturers and production system. Apparel manufacturer's characteristics included product line and the number of employees. For this study, the questionnaires were administered to 215 apparel manufacturers in metropolitan area from Feb. to Mar. 1998. Employing a sample of 201, data were analyzed by using factor analysis, descriptive statistics, cluster analysis, discriminant analysis, and multivariate analysis of variance(MANOVA). The following are the results or this study : 1. The production system was identified as three types of production system such as the management centered system, the product centered system and the worker centered system. 2. Based on the three types of the production system, apparel manufacturer were classified into manager centered and product centered groups. 3. With respect to product line, men's wear manufactures were operated the most frequently by manager centered and product centered groups. 3. With respect to product line, men's wear manufacturers were operated the most frequently by management centered system and women's wear manufacturers were operated the most frequently by worker centered system. With respect to the number of employees, apparel manufacturers comprising 5∼19 employees were performed the least frequently worker centered system, while those comprising 50∼99 and 100∼299 employees the least frequently worker centered system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.258-261
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• 2018

The purpose of this paper is to draw a conclusion on the impact of intermediate software on enterprise results. In this paper, product innovation and product reliability are especially used as analytical factors. An exploratory analytical study is conducted on the competitiveness of intermediate software, in the hope of gaining a new understanding of the competitiveness of intermediate software. Data are analyzed using such quantitative analytical tools as SPSS and AMOS. Using reliability analysis, validity analysis and structural equation model analysis, the final results are achieved. According to the analysis results, we can draw the following conclusions: the competitiveness of intermediate software has a positive impact on the innovation of software products. The competitiveness of intermediate software doesn't have a positive impact on the reliability of software products. Product innovation has a positive impact on enterprise results. Product reliability also has a positive impact on enterprise results. By analyzing the conclusions, we can make certain suggestions and draw implications on the competitiveness of China's software industry.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.3
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• pp.221-229
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making fer the conceptual product design and the best alternative can be selected based on its estimated LCA and its benefits. Both the lack of detailed information and time for a full LCA fur a various range of design concepts need the new approach fer the environmental analysis. This paper suggests a novel approximate LCA methodology for the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes into impact driver index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for new design products. The training is generalized by using product attributes for an ID in a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines fer the design of environmentally conscious products in conceptual design phase.

• Culinary science and hospitality research
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• v.11 no.4 s.27
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• pp.134-149
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• 2005

First, generally the more business employ the financial and non financial outcome analysis for evaluation process, the higher the success rate of new product development becomes in the domestic restaurant market. Second, the study shows that the financial outcome tends to be considered more than non financial outcome on deciding success of the new product development. Third, it is indicated that although detailed plans have a large impact on the outcome of new product development, communication between departments within a company is not a considerably important factor for deciding success of the new product. Fourth, 'market environment' has significant influence on deciding adoption level of financial and non financial outcome analysis, organizational resources and culture.