• Culinary science and hospitality research
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• v.22 no.4
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• pp.181-191
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• 2016

This study examined the factors that affect the relationship between eco-friendly agricultural products selection criteria, consumer trust, and recommendation intention. A total of 220 questionnaires were distributed to consumers, of which 210 were deemed suitable for analysis after the removal of 10 unusable responses. In order to perform statistical analyses required in the study, SPSS 18.0 Statistical Program was employed for frequency analysis, factor analysis, reliability analysis, correlations, and regression analysis. The results of exploratory factor analysis showed that four factors regarding eco-friendly agricultural products were extracted from all measurements with a KMO of 0.735 and a total cumulative variance of 79.373%, With regard to consumer trust, one factor was extracted with a total cumulative variance of 75.431% and a KMO score of 0.695. One factor for recommendation intention was extracted that accounted for a total cumulative variance of 68.428% and a KMO score of 0.694. All factors were significant to .000 and the correlation between variables was significant. Thus, based on the results, the main research hypotheses that identify the relationships between selection criteria, consumer trust and recommendation retention were adopted.

• The Korean Journal of Community Living Science
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• v.14 no.3
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• pp.111-124
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• 2003

This study is designed to understand demographic characteristics, store selection factors, difference in preferred stores which are considered to be related to store selection behaviors for clothes by college students in Yanbian, China. Questionnaire was used for measurement tools to study the subject of the thesis. Questions used for the evaluation criteria for store selection were primarily based on those previously used by the other researchers with some revision and supplementation. Each question was rated in 5 point scale, where 1 means 'not at all' and 5 means 'definitely'. A total of 50 copies of the questionnaire was passed out to college students in Yanbian from March 20 to March 25, 2001, for the preliminary study. The main study was conducted against 450 college students from May 17 to June 5, 2001 The data for the study were analyzed using SAS PC program for frequency distribution, percentage, 1 -test, and one way ANOVA. A significant difference was showed in the preferred stores between male and female students. In total, underground markets were preferred most with 41.6%, followed by markets with 40.3%. A significant difference was showed among groups regarding preferred stores based on an average monthly income, monthly expense on clothing. Three areas of 'product price', 'display and mood of the store' and 'royal store' showed a significant difference in terms of selecting stores based on an average monthly income. A significant difference was showed in only one areas(brand awareness) in selecting stores based on monthly clothing expense.

• Environmental Engineering Research
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• v.12 no.5
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• pp.203-210
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• 2007

Since the emissions composition from the household products have potentially been associated with health risks for building occupants, the chemical composition emitted from the products should be surveyed. The current study identified the emission composition for 42 liquid household products, using a purge-and-trap method. This evaluation was done by classifying the household products into five product classes (deodorizers, household cleaners, color removers, pesticides, and polishes). Nineteen compounds were chosen on the basis of selection criteria. The quality control program for purge-and-trap and analytical systems included tests of laboratory blank Tenax traps and blank water samples, and the determination of calibration equation, measurement precision, method detection limit (MDL), and recovery. The number of chemicals varied according to the product categories, ranging from 4 for the product category of bleaches to 12 for the product categories of air fresheners and nail color removers. For all product categories, the emission composition and concentrations varied broadly according to product. It is noteworthy that most household products emit limonene: 19 of 25 cleaning products; 5 of 6 deodorizers; 1 of 3 pesticides; 3 of 3 color removers; and 4 of 5 polishes. It was suggested that the use of household products sold in Korea could elevate the formation of secondary toxic pollutants in indoor environments, by the reaction of limonene with ozone, which entered indoor environments or might be generated by indoor sources such as electronic air cleaning devices and copying machines.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.255-277
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• 2011

Product Service System(PSS), which is an integrated combination of product and service, provides new value to customer and makes companies sustainable as well. The objective of this paper draws Critical Successful Factors(CSF) of PSS through multiple case study. First, we review various concepts and types in PSS and Platform business literature currently available on this topic. Second, after investigating various cases with the characteristics of PSS and platform business, we select four cases of 'iPod of Apple', 'Kindle of Amazon', 'Zune of Microsoft', and 'e-book reader of Sony'. Then, the four cases are categorized as successful and failed cases according to criteria of case selection and PSS classification. We consider two methodologies for the case selection, i.e., 'Strategies for the Selection of Samples and Cases' proposed by Bent(2006) and the seven case selection procedures proposed by Jason and John(2008). For case selection, 'Stratified sample and Paradigmatic cases' is adopted as one of several options for sampling. Then, we use the seven case selection procedures such as 'typical', 'diverse', 'extreme', 'deviant', 'influential', 'most-similar', and 'mostdifferent' and among them only three procedures of 'diverse', 'most?similar', and 'most-different' are applied for the case selection. For PSS classification, the eight PSS types, suggested by Tukker(2004), of 'product related', 'advice and consulancy', 'product lease', 'product renting/sharing', 'product pooling', 'activity management', 'pay per service unit', 'functional result' are utilized. We categorize the four selected cases as a product oriented group because the cases not only sell a product, but also offer service needed during the use phase of the product. Then, we analyze the four cases by using cross-case pattern that Eisenhardt(1991) suggested. Eisenhardt(1991) argued that three processes are required for avoiding reaching premature or even false conclusion. The fist step includes selecting categories of dimensions and finding within-group similarities coupled with intergroup difference. In the second process, pairs of cases are selected and listed. The second step forces researchers to find the subtle similarities and differences between cases. The third process is to divide the data by data source. The result of cross-case pattern indicates that the similarities of iPod and Kindle as successful cases are convenient user interface, successful plarform strategy, and rich contents. The differences between the successful cases are that, wheares iPod has been recognized as the culture code, Kindle has implemented a low price as its main strategy. Meanwhile, the similarities of Zune and PRS series as failed cases are lack of sufficient applications and contents. The differences between the failed cases are that, wheares Zune adopted an undifferentiated strategy, PRS series conducted high-price strategy. From the analysis of the cases, we generate three hypotheses. The first hypothesis assumes that a successful PSS system requires convenient user interface. The second hypothesis assumes that a successful PSS system requires a reciprocal(win/win) business model. The third hypothesis assumes that a successful PSS system requires sufficient quantities of applications and contents. To verify the hypotheses, we uses the cross-matching (or pattern matching) methodology. The methodology matches three key words (user interface, reciprocal business model, contents) of the hypotheses to the previous papers related to PSS, digital contents, and Information System (IS). Finally, this paper suggests the three implications from analyzed results. A successful PSS system needs to provide differentiated value for customers such as convenient user interface, e.g., the simple design of iTunes (iPod) and the provision of connection to Kindle Store without any charge. A successful PSS system also requires a mutually benefitable business model as Apple and Amazon implement a policy that provides a reasonable proft sharing for third party. A successful PSS system requires sufficient quantities of applications and contents.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.554-566
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• 2012

The purpose of this study was to classify the consumption values of 20's and 30's female consumers, identify the differences among the consumption value groups, and analyze purchase behaviors of imported fashion luxury brands according to the consumption value types. The subjects were 518 women who purchased luxury bags. The results of the study were as follows. First, as a result of cluster analysis to classify the consumption values of 20's and 30's female consumers, 4 groups were identified as "rare and emotional pursuit group", "functional pursuit group", "fashion pursuit group", and "social and conspicuous pursuit group". Second, 4 groups showed different luxury bag purchase behaviors, such as purchase motivation, purchase selection criteria, information source, purchase frequency, purchase cost of one time, purchase cost of year, the number of possession, purchase place, and store selection criteria. Third, rare and emotional pursuit group ranked the first in terms of product, price, and store satisfaction. Therefore, consumption values were identified as the important factor suggesting purchase behaviors of female consumers in 20's and 30's.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.157-166
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• 2019

The study had subject to find out what factors Korean automobile consumer is considering in their decision to purchase cars in the situation of the growing competition in the domestic automobile market. In order to this end, the previous study was reviewed to select various factors considered in the process of buying cars. Based on this, Analytic Hierarchy Process was used to prioritize which factors were considered more important by consumers. In the result of study, we could find that performance had the highest priority, and the second ranking was the price. In contrast, image of brand and convenience of maintenance were shown to be relatively low in importance, ranking $3^{rd}$ and $4^{th}$, respectively. Beside, we could recognized the ranking of other detailed factors. This study has an academic implication in that it is able to grasp the latest tendency of consumers' purchase choice of car and to make conclusion by applying AHP analysis method to study of related subject. It also have practical significance that can be a basis for make sense what factors should be taken by the automobile industry to uprise the purchase of the consumers through the identification and preparation of the purchase selection criteria of domestic automobile buyers.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.21-28
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• 2023

In manufacturing companies that focus on small-scale production of multiple product varieties, defective products are manually selected by workers rather than relying on automated inspection. Consequently, there is a higher risk of incorrect sorting due to variations in selection criteria based on the workers' experience and expertise, without consistent standards. Moreover, for non-standardized flexible objects with varying sizes and shapes, there can be even greater deviations in the selection criteria. To address these issues, this paper designs a quality inspection system using artificial intelligence-based unsupervised learning methods and conducts research by experimenting with accuracy using a dataset obtained from real manufacturing environments.

• Design & Manufacturing
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• v.15 no.4
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• pp.24-31
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• 2021

In this study, an artificial neural network model was constructed to convert CAE analysis data into similar experimental data. In the analysis and experiment, the injection molding data for 50 conditions were acquired through the design of experiment and random selection method. The injection molding conditions and the weight, height, and diameter of the product derived from CAE results were used as the input parameters for learning of the convert model. Also the product qualities of experimental results were used as the output parameters for learning of the convert model. The accuracy of the convert model showed RMSE values of 0.06g, 0.03mm, and 0.03mm in weight, height, and diameter, respectively. As the next step, additional randomly selected conditions were created and CAE analysis was performed. Then, the additional CAE analysis data were converted to similar experimental data through the conversion model. An artificial neural network model was constructed to predict the quality of injection molded product by using converted similar experimental data and injection molding experiment data. The injection molding conditions were used as input parameters for learning of the predicted model and weight, height, and diameter of the product were used as output parameters for learning. As a result of evaluating the performance of the prediction model, the predicted weight, height, and diameter showed RMSE values of 0.11g, 0.03mm, and 0.05mm and in terms of quality criteria of the target product, all of them showed accurate results satisfying the criteria range.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.1
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• pp.41-51
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• 2023

Purpose - The prior literature has shown that there is a lack of a complete assessment of the key decisions in cold chain logistics. Such a study is required to offer recommendations for research in this expanding but under-researched topic with potentially significant management ramifications. Research design, Data, and methodology - The current researcher accumulated peer-reviewed sources from databases to augment each chosen study's validity. Selection varied between seminal works and much of the existing literature. The selection process was consistent with using a content checklist that established the inclusion and exclusion criteria. Result - The research findings indicate total five solutions regarding better decision in Cold Chain Logistics (CCL), such as (1) Pricing Decision in Cold Chain Logistics, (2) Decision on Temperature Control Decision in Cold Chain Logistics, (3) Supply Chain Network Design in Cold Chain Logistics, (4) Decision on Minimizing Inventory in Cold Chain Logistics, (5) Decision on Logistics Distribution. Conclusion - Stability of a cold chain should be maintained from manufacture or via logistical components and cold logistics products are susceptible to several variables, such as temperature, and degradation can easily harm food supply, product prices, and human health. Product safety infractions substantially impact human health, among other losses linked with a functioning CCL.

• Korea Trade Review
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• v.47 no.4
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• pp.161-176
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• 2022

Most companies are achieving economic benefits by producing products in the form of bi-national products, but there are also negative consequences such as reduced brand power, so strategic bi-national product planning and branding is essential. In order to actively reflect these practical needs, this study conducted a comprehensive and easy-to-generalize evaluation of Bi-national products that has been somewhat underdeveloped in previous studies. To this end, the selection and evaluation criteria of the products to be investigated were differentiated. This is to classify the products by place of use and the purpose of use so that the majority of bi-national products can be included, and then use the combination to derive the specific products to be evaluated for bi-national products. The evaluation of the product identified the phenomenon of psychological conflict among consumers due to the country of origin discrepancy at the level of decreasing brand authenticity. The above research design is an evaluation method that can encompass bi-national products as a whole, rather than an evaluation of a specific product or product line that is mainly reported in previous studies, and it is also very easy to apply to practice because it allows us to more carefully identify changes in psychological attitudes.