• The Korean Journal of Food And Nutrition
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• v.29 no.5
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• pp.795-800
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• 2016

The objective of this study was to propose motivation for the analysis of consumer's purchasing behavior and willingness to pay for the new soymilk products in cooperative stores. We surveyed the purchasing behavior, willingness to purchase, willingness to pay, and impact factors on willingness to pay. The results indicated that most consumers drank soymilk more than once per week. The reasons for consuming soymilk were health, nutrition, and taste, in order. When purchasing soymilk, consumers considered environment-friendly, quality, country of origin, brand, and price, consecutively. Taste was also an essential quality factor. Thus, consumers showed some willingness to purchase new soymilk products. In addition, cooperative members considered environmental characteristics of raw material and improvement of preference for final product as more important than functionality or food additives. Differentiation of process and marketing strategies are required for the development of soymilk products for cooperative members.

• Journal of Environmental Health Sciences
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• v.49 no.6
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• pp.305-311
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• 2023

Background: The National Institute of Environmental Research (NIER)'s classification of and airborne fraction ratio for consumer chemical products (CCP) does not reflect the characteristics of various product classifications. Objectives: The purpose of this study was to reclassify the types of spray products according to the diverse spray characteristics of CCPs to evaluate the airborne fraction ratio of representative spray types and to compare them with previous CCPs types and airborne fraction ratios. Methods: One thousand seven hundred two products were selected through market research, and 932 newly reported products were selected. After that, 200 were selected to evaluate products with potential inhalation exposure. After classifying six product types that are expected to show differences in the airborne fraction ratio according to the type of product, a final 38 products were selected for use in the airborne fraction ratio through random sampling. Results: CCP has been reclassified from two to six types so that the characteristics of all products are well-reflected. The NIER simply had two airborne fraction ratios, but the results of experiments with six types of products showed a significant difference in values (p<0.01). Airborne fraction ratios of propellant general foam, pump general aerosol, and pump trigger foam in spray type, which were not previously present in NIER, were 7.1%, 24.4%, and 3.5%, respectively. Conclusions: For the diversified types of CCPs, the newly proposed classification was more appropriate than the existing NIER classification. The airborne fraction ratio was also different for each type, so a new value was suggested.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.1
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• pp.216-221
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• 2007

In this paper, we propose a new traceability system that integrates ubiquitous sensor network for monitoring agricultural environment. The proposed system using EPC network can provide informations of agro-livestock products traceability quickly and efficiently. Moreover, this system with RFID Technology gives intelligence of distribution and record. Because of new agro-livestock products traceability system, farm family's income will increase with customer satisfaction.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1295-1302
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• 2021

The study aims to investigate the antecedents affecting purchase intention in the category of green skincare products. Many studies have used the theory of planned behavior to investigate factors affecting intention to purchase products in general. This paper not only retests the influences of attitude, subjective norm, perceived behavioral control on the intention to buy eco-friendly skincare products but also suggests a new antecedent - environment knowledge of purchase intention. More importantly, this study is the first to propose the moderating effect of country of origin and product knowledge on the relationship between attitude and purchase intention. This study employs a sample of 350 female customers from 18 to 39 years old in Ho Chi Minh City. The research applies the Multiple Linear Regression to analyze the proposed hypotheses in the conceptual framework and results in significant outcomes. The result shows that attitude is the most influential factor then, subjective norm, perceived behavioral control and environmental knowledge. Most importantly, the findings of this study suggest that product knowledge is found to moderate the effect of attitude on purchase intention. The finding of moderating effect is a new contribution to the literature and future research can be carried out to validate this result.

• 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.

• Asia Pacific Journal of Business Review
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• v.4 no.1
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• pp.45-60
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• 2019

Proposing that the main barriers to mini-packaging success in China, in contrast to India and the Philippines, is Chinese consumers' sociocultural values and attitudes toward products in mini packages, this study investigates the factors that potentially make the China market relatively not conducive to buying products in mini packages via a survey of 468 Chinese adults in Shanghai (first-tier city) and Zhuhai (second-tier city). Results show that respondents agree that products in mini packages are difficult to store once opened, are more expensive than are larger-sized products, do not provide good value for money, entail frequent shopping, are harmful to the environment, are not advertised, and are mainly for trying new products and for traveling. They disagree with many possible reasons for the unpopularity of products in mini packages. This study's contributions are (1) providing in-depth quantitative analysis of the possible reasons mini-packaging is not popular in China, (2) offering managerial advice for using mini-packaging to increase brand competitiveness, (3) developing a scale to measure attitudes toward products in mini packages; and (4) being empirical as opposed to merely anecdotal/speculative like some studies in this area.

• Journal of Distribution Science
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• v.14 no.10
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• pp.137-146
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• 2016

Purpose - Korean agriculture is facing internal and external environmental changes and the need for secure stable outlets. Active participation and mutually beneficial cooperation between enterprises and agricultural is necessary for a win-win situation. This study investigates the case for distribution cooperation and a cooperative system. To respond to the diverse needs of consumers and market reclamation, there is a need to analyze and categorize distribution cooperation. Research design, data, and methodology - A literature study, relevant interviews with enterprises, and meetings with local government practices were conducted. A survey frame was derived through the participation of agricultural enterprises and distribution cooperation models were categorized identifying win-win cooperation and best practices. It was organized on the basis of six best practice examples of distribution cooperation between industry and agricultural sectors, divided into three types: opening distribution channels, exporting cooperation, and developing new products. Results - An innovation management system that can adapt to environmental changes and problems of agriculture is necessary. A company has to supply high-quality agricultural products reliably to meet the preferences of consumers by introducing products that promote domestic market differentiation. In addition, consumers are choosing a variety of products that may include not only high quality products but also local products and safe products. The main areas of cooperation are the direct provision of agrifood raw materials to consumers. Next, would be to help agricultural sectors distribute and pioneer international markets. The ideal step for distribution cooperation is the joint investment in new products by business and agriculture. Conclusions - Agriculture and win-win cooperation with enterprises is in an early stage of social contribution. To implement a distribution cooperation model between business and agricultural sectors, it is crucial to establish a structured support system including joint councils. Additional requirements include strengthening agricultural capacities, creating a legal basis for provision, and producing a win-win cooperation environment. The promotion of win-win cooperation and agricultural enterprises needs to exist in various forms in order to establish a different type of incentive system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.129-136
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• 2017

Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.171-178
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• 2019

Korea's shipbuilding industry is in a critical condition due to changes in the domestic and international environment. To overcome this crisis, preemptive development of products and technologies through prediction of new demand for ships is necessary. The goal of this research is to develop an artificial intelligence algorithm based on ship big data in order to predict new demand for ships. We intend to develop a big data analytics platform specialized in predicting ship demand and to utilize the forecast results of new ship demand through data analysis for planning/development of new products. By doing so, the development of sustainable new business models for equipment and equipment manufacturers will create new growth engines for shipyard and shipbuilders. Furthermore, it is expected that shipbuilders will be able to create business cases based on measurable performance, plan market-oriented products and services, and continuously achieve innovation that has high market destructive power.

• Journal of Korean Society for Atmospheric Environment
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• v.16 no.4
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• pp.421-428
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• 2000

Accelerator Mass Spectrometry (AMS) is presented for the applications to the environmental research. Traditionally the radiocarbon (14C) measurements have been made for the purpose of dating the archaeological and geological samples. 14C measurements using AMS however have become the more useful methods for the study of environmental science such as antropogenic modification of atmosphere and the determination of mixing ratios of fossil and biomass products. Such 14C AMS measurements have been extended to the discovery of new chemical tracers for investigations of sources of excessive contributions of CO2, CO, CH4 and other carbon-bearing molecules in the atmosphere.