• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.12
• /
• pp.1721-1732
• /
• 2007

This study identified types of information source, and explored a path model for consumer information search by shopping attributes in the context of online decision making. Participants completed self-administered questionnaires during regularly scheduled classes. A total of 219 usable questionnaires were obtained from respondents who enroll at universities in the southwestern region of the United States. For data analysis, factor analysis and path model estimation were used. Consumer information source was classified into three types for online clothing purchases: Online source, Offline retail source, and Mass media. Consumers were more likely to rely on offline retail source for online clothing purchases, than other sources. In consumer information search by shopping attributes, online sources were more likely to be related to transaction-related attributes(e.g., incentive service), whereas offline retail source(e.g., displays in stores, manufacturer's catalogs and pamphlets) were more likely to be related to product and market related attributes(e.g., aesthetics, price) when purchasing clothing online. Also, the path model emphasizes the effect of shopping attributes on traditional retailer search behavior, leading to online purchase intention for clothing. This study supports consumer information search by attributes, and discusses a managerial implication of multi-channel retailing for apparel.

• Journal of Electrical Engineering and Technology
• /
• v.13 no.5
• /
• pp.1821-1830
• /
• 2018

With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer's load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

• Journal of Families and Better Life
• /
• v.15 no.3
• /
• pp.95-106
• /
• 1997

The purpose of this study was to develop an instrument which measures children's stress coping behaviors. The first 89 items were selected based on a literture review and a pilot study of 129 children with open questions. The final 75 items were selected using the data from subjects of 500 4th-5th and 6th grade children living in Seoul. The main study was conducted on March 5-10 1997. The data were analysis by frequencies percentages factor analysis and Cronbach's a. The resulting nine catagorical factors of 75 items in strument for children's stress coping behaviors were as fallows: positive revaluation of the situation emotional aggression problem-facing behavior information search for problem-solving emotion-vonvering behavior avoidance seeking spiritual support physical seperation for emotional relaxation emotional expression, The 9-factor 75-item scale explains 60.9% of children's stress coping behaviors and its value of Cronbach's a is 9.5.

• Journal of the Korean Home Economics Association
• /
• v.45 no.6
• /
• pp.1-9
• /
• 2007

Even though self-confidence is a personal factor of a people, it works as behavioristic factor in consumer behavior. In this study, the influence of consumer self-confidence on clothing purchase behavior was investigated. A total of 284 data sets were analyzed after collecting questionnaires from college students in Seoul using convenient sampling method. For data analysis, chi-square test, analysis of variance, reliability test and factor analysis were performed by SPSSWIN program. The results were as followed. First, the clothing purchase places were affected by the consumers' level of self-confidence. The more confident consumers preferred internet shopping and Dongdaemun market to large-scale shops. The discount stores were selected by the less confident consumers. Second, information search was one of the main reasons to visit internet shopping mall by the more confident consumers. Third, the more confident consumers showed the higher level of clothing involvement than the less confident consumers. Finally, unplanned purchases, such as pure impulse buying and reminder buying were more likely to occur by the more confident consumers with less purchase conflicts.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.2 no.3
• /
• pp.185-190
• /
• 2002

In distributed autonomous robotic systems (DARS), each robot must behave by itself according to its states ad environments, and if necessary, must cooperate with other robots in order to carry out their given tasks. Its most significant merit is that they determine their behavior independently, and cooperate with other robots in order to perform the given tasks. Especially, in DARS, it is essential for each robot to have evolution ability in order to increase the performance of system. In this paper, a schema co-evolutionary algorithm is proposed for the evolution of collective autonomous mobile robots. Each robot exchanges the information, chromosome used in this algorithm, through communication with other robots. Each robot diffuses its chromosome to two or more robots, receives other robot's chromosome and creates new species. Therefore if one robot receives another robot's chromosome, the robot creates new chromosome. We verify the effectiveness of the proposed algorithm by applying it to cooperative search problem.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.34S no.8
• /
• pp.56-64
• /
• 1997

In distributed autonomous robotic systems, each robot must behaves by itself according to the its states and environements, and if necessary, must cooperates with other orbots in order to carray out a given task. Therefore it is essential that each robot has both learning and evolution ability to adapt the dynamic environments. In this paper, the new learning and evolution method based on reinforement learning having delayed reward ability and distributed genectic algorithms is proposed for behavior learning and evolution of collective autonomous mobile robots. Reinforement learning having delayed reward is still useful even though when there is no immediate reward. And by distributed genetic algorithm exchanging the chromosome acquired under different environments by communication each robot can improve its behavior ability. Specially, in order to improve the perfodrmance of evolution, selective crossover using the characteristic of reinforcement learning is adopted in this paper, we verify the effectiveness of the proposed method by applying it to cooperative search problem.

• Journal of the Korean Home Economics Association
• /
• v.41 no.6
• /
• pp.13-28
• /
• 2003

The purposes of this study were to identify money altitudes of college students and to examine both socio-economic characteristics and clothing purchase behaviors by different money attitudes. For this study, guestionnaires completed by 2-year and 4-year college students (n=426) were analyzed by factor analysis, cluster analysis, X²- test, and ANOVA. The results of this study were as follows: First, the money attitudes were composed of five factors and they were categorized by three clusters: cluster of considering the money as a tool for future safety, a way of approval and filling up emotions, and inclination toward stinginess and distrust. Second, the factors which were associated with money attitudes were academic level, education level of parents, household income, students' own income, and the economic level of their households. Third, in each type of attitudes, the clothing purchase behavior had four steps of decision making: problem recognition, information search, evaluation of alternatives, and the purchase. There were significant differences in the clothing purchase behavior among the money attitude styles.

• Journal of Fashion Business
• /
• v.12 no.1
• /
• pp.63-75
• /
• 2008

The purpose of this study was to identify purchasing behavior and attitudes toward naturalistic cosmetics according to women's LOHAS lifestyle. Self-administered questionnaires were distributed to 500 women aged 19-59. SPSS was used for data analysis. The results were as follows: 1. Factors of LOHAS lifestyle were social consciousness, reduce resources, family centered, individuality & environmental consciousness, healthy food life, and information search. Women were clustered into bad-being group, environmentalists, LOHAS group, well-being group, and individualists. 2. Most women had a bit of knowledge and experienced naturalistic cosmetics. Over 85% of women had intention to use naturalistic cosmetics. 3. Bad-being group and individualists included university women and had little knowledge and experiences of naturalistic cosmetics. LOHAS group and well-being group included more career women with higher education, had more knowledge and experiences. 4. Knowledge and experiences of naturalistic cosmetics were the most effective factors on the use intention of naturalistic cosmetics.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.32 no.4
• /
• pp.231-263
• /
• 2021

The purpose of this study is to analyze the information behavior of so-called "MZ Generation" users who are going to be the main information users of the continuously and radically changing scientific information environment due to the advent of various types of information media and rapid increment of digital information resources. Especially, the characteristics of MZ generation is investigated through questionnaire asking questions about their use of contents platforms, and online resources for everyday life information and scholarly information, and their way of producing, responding, and sharing information contents. The results show that they use YouTube most as the contents platform, prefer Naver as their everyday life information source, and use Google as the main scholarly information source. Their main purpose of using the content platform is to search for everyday life information rather than scholarly or professional information, and they are actively producing information, mostly to keep records of their everyday lives.

• Journal of the Korean Society for information Management
• /
• v.31 no.1
• /
• pp.163-187
• /
• 2014

The purpose of this study is to explain information usage behavior of researchers in the field of ocean science and technology. The study mainly collected primary data for advancement of special library services as well as establishment of personalized information services based on personal characteristics such as age, education level, and area of research. The data collection was conducted for two weeks during January 2014, through a web survey to 348 researchers in national ocean research institutions in South Korea. Total of 115 researchers replied. The analysis showed that the most preferred type of information medium was a scholarly journal. Researchers used more foreign published journals compared to Korean ones, while favoring digital formats rather than printed ones. The top channels for information collection were 'web search' and 'affiliated libraries.' Most pointed out difficulties of data collection were 'lack of variety of digital resources in affiliated libraries' and 'reluctance to use charged information.' Key elements for satisfactory user experience were ranked in the order of 'digital library system,' 'library staff,' and 'library collection' and so on;which proves the close relationship between library service and information usage service satisfaction. The result of an assessment for demands in special libraries showed that 'personalized information search service,' 'project support service,' and 'research direction analysis service' should be implemented in the future.