• The Korean Journal of Food And Nutrition
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• v.29 no.5
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• pp.643-654
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• 2016

The purpose of this study was to investigate the purchasing behavior and selection attributes for Home Meal Replacement (HMR) and to identify the selection attributes affecting purchasing frequency and purchasing costs of married women living in a city. Among 837 questionnaires distributed to HMR married women consumers, 752 complete questionnaires (89.8%) were analyzed. The younger married women group showed higher frequency of purchasing HMR than the older age group. The 20s and 30s age groups showed higher purchasing costs for HMR than the 40s and older age groups. A higher proportion of employed married women purchased HMR three or more times per week and spent an average of more than 20,000 won per purchase in comparison with unemployed married women. HMR selection attributes were classified into five factors: 'taste and sanitation', 'economic efficiency', 'health and nutrition', 'convenience', and 'reliability and awareness'; mean scores of these factors' importance levels were 4.28, 3.93, 3.59, 3.54, and 3.50 out of 5 points, respectively. The importance level of 'taste and sanitation' factor was significantly greater as married women's age decreased. However, the importance level of 'health and nutrition' factor was significantly greater as married women's age increased. The results of the logistic regression analyses indicate that the 'taste and sanitation' and 'health and nutrition' factors affected frequency of purchasing HMR. The 'reliability and awareness' factor had the most significant impact on cost per purchasing HMR. Therefore, a product differentiation strategy according to married women's age and employment status should be applied. Product qualities and brand value should be improved to enhance competition in the HMR market.

• Journal of Korea Port Economic Association
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• v.22 no.3
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• pp.141-160
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• 2006

In order to obtain and maintain competitive advantage, under rapidly changing maritime environment, liners should make efforts to reinforce their logistics service capabilities. Most of all, for this, shipping lines should accurately recognize and evaluate their logistics service attributes. In the present research, various logistics service attributes for ocean carriers were selected from previous studies and the observed data for 6 main service attributes were collected through a questionnaire survey to 31 maritime experts. Moreover, shipping lines' relative logistics service capabilities were measured by an additional survey process. The comparative gravity between core evaluation factors were measured by AHP technique and the relative capability levels of 2 Korean liners and 5 foreign shipping companies were assessed by utilizing a fuzzy model. The empirical result presents that Korean liners are superior at customer service capability but inferior at freight rate competitiveness. This research shows that Korean liners are ranked at high position for overall logistics service capabilities and focusing on the differentiation strategy but not on the cost related strategy.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.177-194
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• 2007

Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.615-641
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• 2009

This study aims to develop Semangum tourism package that can be most suitable for the tourist. The data were obtained by a survey carried out between August, 17 and August, 24, 2009 with a sample of latent tourist of Semangum. Conjoint analysis has been used to estimate the relative importance of attributes. Four main attributes and two or three attributes levels for each determinant were chosen for conjoint analysis. Eleven model package were made using fractional factorial design, and presented to the latent tourist, who were asked to reply in order of their like. Results show that the most important attributes for tourist were in order of cost, connected tourism, accommodation and report activity.

• Journal of the military operations research society of Korea
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• v.22 no.1
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• pp.81-96
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• 1996

In a relational database environment, partitioning of data is directly concerned with the amount of data that needs to be required in a query or transaction. In this paper, we consider non-overlapping, vertical partitioning. Vertical partitioning algorithm in this paper is composed of two phases. In phase 1, we cluster the attributes with zero-one integer program that maximize affinity among attributes. The result of phase 1 is called 'Initial Fragments'. In phase 2, we modify Initial Fragments that is not directly considered by cost factors, making use of a transaction-based partitioning method. A transaction-based partitioning method is partitioning attributes according to a set of transactions. In this phase we select logical accesses which needs to be required in a transaction as comparison criteria. In phase 2, proposed algorithm consider only small number of modification of Initial Fragments in phase 1. This algorithm is so insensible to number of transactions and of attributes that it can applied to relatively large problems easily.

• Proceedings of the Korea Port Economic Association Conference
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• 2006.08a
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• pp.291-309
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• 2006

In order to obtain and maintain competitive advantage, under rapidly changing maritime environment, liners should make efforts to reinforce their logistics service capabilities. Most of all, for this, shipping lines should accurately recognize and evaluate their logistics service attributes. In the present research, various logistics service attributes for ocean carriers were selected from previous studies and the observed data for 6 main service attributes were collected through a questionnaire survey to 31 maritime experts. Moreover, shipping lines' relative logistics service capabilities were measured by an additional survey process. The comparative gravity between core evaluation factors were measured by AHP technique and the relative capability levels of 2 Korean liners and 5 foreign shipping companies were assessed by utilizing a fuzzy model. The empirical result presents that Korean liners are superior at customer service capability but inferior at freight rate competitiveness. This research shows that Korean liners are ranked at high position for overall logistics service capabilities and focusing on the differentiation strategy but not on the cost related strategy.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.105-119
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• 2018

The healthcare business is growing as a global core business because of the phenomenon of global aging, as well as in South Korea, skyrocketing health care costs accordingly, and changing the paradigm from treatment to the prevention-centered medical service. Especially, as the digital healthcare service stands out as a solution, major countries actively promote and support policies at the government level. Thus, this study will present attributes of a market-oriented service that would vitalize the digital healthcare service industry by investigating major attributes of the digital healthcare service. To analyze the relationships of the influences of attributes, this study used Interpretive Structural Modeling. As a result of literature research and ISM, this study can understand the eight basic attributes of the digital healthcare service (network scalability, context awareness, connection among information platforms, cost, trust, security, ease of use, usefulness) and analyze the relationships of the influences among the attributes. In addition, as this study finds some significant differences in Order Winner and Order Qualifier between the experts' group (security) and the users' group (trust, ease of use, usefulness), It provides meaningful implications for revitalization and promotion of digital healthcare service industry.

• Journal of the Korean Society of Food Culture
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• v.15 no.1
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• pp.51-58
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• 2000

This study is designed to 1) understand customers' choice behavior and preference of foodservices in campus and 2) provide recommendation on management strategies for university foodservice manager. Individual interview and focus group interview were used to identify important selection attributes. The questionnaire was developed and distributed to 480 Yonsei university students and statistical data analysis was completed using SPSS WIN/7.5 for descriptive analysis, multidimensional scaling and conjoint analysis. The results of this study were summarized as follows: Students evaluated four foodservices in different ways, and strength/weakness points could be identified from the evaluation patterns. Most students(51.1%) were frequently used 'A' foodservice, though they preferred other foodservices, and cost, mainly, caused the difference. Perceptual map from multidimensional scaling showed that preference and patronage were close with different attributes. Cost was most relatively important attribute to select foodservice in campus from conjoint analysis. Therefore, relative importance of attributes should be considered in customer preference survey for constructing management plan.

• Journal of the Korean Society of Food Culture
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• v.39 no.1
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• pp.30-37
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• 2024

Consumption market research was conducted on gradually increasing vegetarians using various selection attributes. Factors were extracted to identify vegetarian selection attributes and to divide the study cohort into groups, continuous variables (health, animal welfare, eco-friendliness, religion, familiarity, convenience, stability, and cost) and categorical variables (age, marital status, vegetarian duration, and vegetarian frequency) were simultaneously subjected to two-step cluster analysis. Cluster 1 contained high proportions of 20-29 and 30-39 year-olds, which are MZ-generation age groups. A high proportion had a vegetarian duration of 1-3 years, and the popular reasons for vegetarian selection were animal welfare and eco-friendliness. Cluster 2 contained high proportions of 50-59 and 40-49 year-olds, and many in this cluster were married, and mean vegetarian duration was ≥15 years. In addition, significant differences were observed between Clusters 1 and 2 in terms of religion, health, familiarity, cost, stability, and convenience. This study should contribute significantly to predicting vegetarian consumers' selection decisions and consumption behaviors and provide reliable marketing data for foodservice companies that develop vegetarian foods.

• International Commerce and Information Review
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• v.18 no.4
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• pp.55-78
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• 2016

In this study, service quality attributes of uTradeHub were classified based on the Kano model, and quality attributes that should be managed in priority to improve the service quality of uTradeHub were investigated using Timko's customer satisfaction coefficient(CSC) and average satisfaction coefficient(ASC). The results of the study are summarized as follows. First, as a result of classifying service quality attributes based on Kano model, 12 one dimensional qualities, 5 must-be qualities, 2 indifferent qualities were deducted, and many quality attributes of uTradeHub service were confirmed to be one dimensional quality to which is needed to be paid attention and paid more detailed attention to enhance service quality. Second, in the analysis result using Timko's customer satisfaction coefficient, "post processing for problems and complaints", "cost reduction", "efficiency of business processing" were ranked in the top of satisfaction coefficient, and they found to be quality attributes that customer satisfaction increases when service quality was satisfied. While, "post processing for problems and complaints", "interaction", "ability to respond promptly when problems occur" were ranked in the top of unsatisfaction coefficient, and they were analysed to be quality attributes that customer complaints increase when service quality was unsatisfied. Third, in the result of analyzing the quality attributes that should be managed in priority to improve the service quality of uTradeHub based on the average satisfaction coefficient(ASC), "post processing for problems and complaints", "cost reduction", "useful information" were ranked in the top 3, and they were classified as quality attributes that the satisfaction level increases more when they are improved than now, but the satisfaction level decreases when they are worsen.