• Journal of the Korean housing association
• /
• v.25 no.4
• /
• pp.59-72
• /
• 2014

This study proposes a data-mining analysis method for examining variable multi-attribute big-data, which is considered to be more applicable in social science using a Correspondence Analysis of variables obtained by AIC model selection. The proposed method was applied on the Seoul Survey from 2005 to 2010 in order to extract interesting rules or patterns on characteristics of single household. The results found as follows. Firstly, this paper illustrated that the proposed method is efficiently able to apply on a big dataset of huge categorical multi attributes variables. Secondly, as a result of Seoul Survey analysis, it has been found that the more dissatisfied with residential environment the higher tendency of residential mobility in single household. Thirdly, it turned out that there are three types of single households based on the characteristics of their demographic characteristics, and it was different from recognition of home and partner of counselling by the three types of single households. Fourthly, this paper extracted eight significant variables with a spatial aggregated dataset which are highly correlated to the ratio of occupancy of single household in 25 Seoul Municipals, and to conclude, it investigated the relation between spatial distribution of single households and their demographic statistics based on the six divided groups obtained by Cluster Analysis.

• Journal of the East Asian Society of Dietary Life
• /
• v.27 no.3
• /
• pp.243-256
• /
• 2017

This study attempted to improve frying powder products based on 272 consumers' purchase conditions. Factor analysis by type was conducted on purchase attributes of consumers who purchased frying powder by categorizing them based on five factors-namely, convenience, information, diversity, safety, and economy. Five main factors were divided into four purchase attributes named various pursuit, convenience pursuit, economical pursuit, and inform/safety pursuit. Purchasing status of frying powder products was analyzed according to three independent variables such as age, meal preparation type, and purchase attributes. The top motivation for using frying powder was convenience. According to the importance-satisfaction analysis survey, taste, expiration date, and certification mark were chosen as highly important and high satisfaction characteristics for frying powder (p<0.001), whereas nutrition, oil absorption, adhesiveness, crispiness, origin, and food additives were highly important and low satisfaction characteristics (p<0.001). In the conjoint analysis, crispiness was the most important attribute of fried food.

• Archives of design research
• /
• v.12 no.4
• /
• pp.161-170
• /
• 1999

In recent days, consumer's product selection various with diverse life style, not simply with income class. This in why diversified demand and diversified products appear in every industry, which means the success or failure of business relies on tis ability to yield the best productivity under the condition of diversification. The purpose of this study is to discuss how an automaker can create its unique identity and brand image in automobile industry and what's brand role and value, under the recognition that clarifying a target market in development process is indispensable to developing a product of higher marketability. By building and applying a product of higher marketability. By building and applying a brand-unique consistent design identity, it's intended to meet the increasing requirements of product attribute for symbolism or sensitivity so as satisfy or exceed customer expectation.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.5
• /
• pp.1992-2008
• /
• 2018

Mobile opportunistic network is a kind of ad hoc networks, which implements the multi-hop routing communication with the help of contact opportunity brought about by the mobility of the nodes. It always uses opportunistic data transmission mode based on store-carry-forward to solve intermittent connect problem of link. Although many routing schemes have been proposed, most of them adopt the greedy transmission mode to pursue a higher delivery efficient, which result in unfairness extremely among nodes. While, this issue has not been paid enough attention up to now. In this paper, we analyzed the main factors that reflect fairness among nodes, modeled routing selection as a multiple attribute decision making problem, and proposed our Fairness-aware Routing Strategy, named FARS. To evaluate the performance of our FARS, extensive simulations and analysis have been done based on a real-life dataset and a synthetic dataset, respectively. The results show that, compared with other existing protocols, our FARS can greatly improve the fairness of the nodes when ensuring the overall delivery performance of the network.

• Journal of KIBIM
• /
• v.12 no.3
• /
• pp.30-38
• /
• 2022

Railway is compsed in various components, such as subgrade, track bed, sleeper, rail, and overhead line, on a linear space. Therefore, comprehensive work for various design standards and guidelines is required when designing a railway facility. For this reason, much time and effort are required to review the relevant design standards and guidelines. While, automatic legal check system for BIM models has been developed in the architectural engineering, it has not been developed in the railway engineering. This study reviews the korean design standard and the korean code for railway engineering, and suggests some rule items of logical information. Comparing the suggested rule items to the railway BIM library, items of logical information and additional attribute information are obtained. The analysis results of railway design standards and BIM library presented in this study would be utilized for defining rule-set items that is essential for development of the automatic legal check system for railway BIM models.

• The Journal of Industrial Distribution & Business
• /
• v.15 no.3
• /
• pp.11-20
• /
• 2024

Purpose: This study focuses on the Chinese smartphone market to estimate product attributes influencing Chinese customers' preference for developing new smartphones through conjoint analysis. Research design, data and methodology: The online questionnaire survey is processed among Chinese potential smartphone customers. Conjoint analysis including traditional conjoint analysis (TCA) and choice-based conjoint analysis (CBCA), is used to analyze the useful data of 500. Results: Results indicate that price is the most important predictor while screen size is the least for Chinese customers' preference whether the method is TCA or CBCA. However, the importance of brand, capacity, CPU, and screen design is different. Moreover, based on each smartphone attribute level's utility, the new products with the best combinations are different compared with both methods. Finally, the predicted market shares of the top 3 products are the same with maximum utility rule model between TCA and CBCA. However, when considering with the new best combined product, they are significantly different. Conclusions: Managers should recognize the differences between TCA and CBCA and select the best method to develop new smartphones for sustainable business in the Chinese competitive market based on the important attributes of price, brand, capacity, CPU, screen design, and size.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.45 no.4
• /
• pp.585-592
• /
• 2016

This study was conducted to analyze the gap between importance and satisfaction of university foodservice attributes as well as to assess customer satisfaction with university foodservice establishments. All statistical analyses were conducted using the SPSS package program (ver. 20.0) for t-test, ANOVA, and Importance-Performance Analysis (IPA). A total of 619 valid responses were used for the data analysis. The results of this study are as follows: the composition of respondents was 53.5% males and 46.5% females. Exactly 85.5% of respondents ate lunch at least five times a week at the on-campus foodservice. The favorite lunch menus of Chinese university students were Chinese food (91.8%), followed by Western food (3.5%), Korean food (2.2%), and Japanese food (1.5%). According to the results of IPA, foodservice selection attributes that were priorities for improvement were food taste, food freshness, menu variety, waiting time for meal, and toilet cleanliness. In addition, five satisfaction factors were extracted by exploratory factor analysis. According to the results of one-way ANOVA, 'physical environment' and 'service quality' factors showed significant differences according to the students' grades and the frequency of eating lunch at on-campus foodservice. On the other hand, 'food quality and menu' and 'convenience and price' factors showed significant differences according to meal cost. In conclusion, in order to enhance customer satisfaction of on-campus foodservice, foodservice managers should offer a varied menu at reasonable prices and improve food quality.

• Journal of Distribution Science
• /
• v.12 no.2
• /
• pp.49-57
• /
• 2014

Purpose - Theorists and researchers in the area of customer satisfaction generally agree that product satisfaction intervenes between expectancy disconfirmation and various post-purchase cognitive states including attitude and behavioral intention. Studies in a variety of settings have supported the effect of expectation and its disconfirmation on satisfaction, but only a small number of studies address the cognitive consequences of satisfaction decisions and none report data on choice processes such as brand selection. This study examines the influence of satisfaction and its determinants on behavioral intention and product preference in eight coffee shops across the country. Generally it was found in both overall and summed attribute analyses that satisfaction was a function of expectation and disconfirmation, that intention was a function of satisfaction, and that preference was influenced by satisfaction and disconfirmation, the latter having the greater effect. Research design, data, and methodology - The main objective of this study was to assess the dimensions of consumer selection and satisfaction in choosing a coffee shop. In order to achieve this objective, a study of coffee shops across the country was conducted. This study comprised in-depth questionnaires distributed to coffee shop customers. A survey was conducted from September 1, 2011 to September 30, 2011, involving franchise coffee shop, independently owned coffee shop, and roastery coffee shop customers. Results - Hypothesis 1-1, which states that coffee shop choice attributes differ based on the type of coffee shop, is accepted. It has a significance level of 0.05, according to choosing properties of coffee shop by convenience of transportation, varieties of beans, residence of the owner (manager), information, and relationships. Hypothesis 1-2, which states that satisfaction with the choice factor differs depending on the type of coffee shops, is accepted. The P-values for cleanliness and varieties of beans were 0.04 and 0.00, respectively, and have a significance level of 0.05, according to the satisfaction with the chosen coffee shop. Hypothesis 2-1, which states that the importance of the choice attributes in coffee shop selections differs based on the demographic characteristics of the customers, is accepted. According to the t-test result, convenience of parking and residence of the owner (manager) are significant. Hypothesis 2-2, which states that satisfaction with the choice factor will differ depending of the type of coffee shop, is accepted. According to the t-test result, convenience of parking and residence of the owner (manager) are significant. Conclusions - This study has shown that intention to revisit a certain shop is most likely correlated to satisfaction in all cases. In order to offer subsequent developments for coffee shops, this study also identifies relations between customer satisfaction and selection by finding significant factors. In order to maximize customers' satisfaction, coffee shops should analyze and satisfy customers' needs and wants in terms of coffee service. While the findings do not generalize beyond the mall sampling procedure used here, we have hopefully identified a close approximation of the process of satisfaction decisions used by consumers generally.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.549-557
• /
• 2020

Recently, the number of coffee shops has continued to increase, and information searches have been increasing for consumers who want to visit coffee shops. We wanted to find out the impact on the intention of revisiting a coffee shop by adding information search factors to the existing coffee shop's selection properties and search for the actual selection properties, and summarize the results as follows. The analysis of this study was conducted in two ways, before and after visiting a coffee shop through information search. First, the four factors and optional attributes that are important in information retrieval were the reliability of information (the number of reviews and views by coffee shops, recent postings), physical environment (the proximity of stores, the atmosphere, size, presence of side menus), visuality of information (physical environment, background, design, easy composition), merchantability (the taste of coffee, convenience of parking). In addition, the selection properties for satisfaction after visiting coffee shops through information search were derived from five general characteristics of coffee shops, menu, information consistency, taste of coffee, and convenience of parking, and among them, the consistency of information, taste of coffee, and general characteristics of coffee were found to affect the intention of revisiting again.

• Culinary science and hospitality research
• /
• v.23 no.2
• /
• pp.11-22
• /
• 2017

This study is focused on five franchise snack bars to create an effective marketing strategy by analyzing the competitive relationships among them and by grasping selection properties that satisfy customers. Discriminant Analysis was utilized to suggest methodological frameworks, and the results show three factors (food quality, employees' service, and physical environment) were extracted that contains twenty five questions. A one-way analysis of variance (ANOVA) was carried out in order to verify if there were statistically meaningful differences in the Franchise snack bars, and post hoc comparisons were conducted using the Duncan method. In addition, Multidimensional Scaling (MDS) was used to measure brand similarity, selection attributes, and brand preferences. The results of the analysis show that Addal had the highest scores on average in all three factors (food quality, employees' service, and physical environment), Bong-Gus Babberger had two higher scored factors (employees' service and physical environment) than the average, and Gobongmin kimbab had also two higher scored factors (food quality and physical environment) than the average. Kimbab chunguk appeared to have lower scores than the average in all three factors (food quality, employees's service, and physical environment). The findings of this study provide a useful positioning map of competitiveness among five brands and offer practical marketing proposals.