• Fashion & Textile Research Journal
• /
• v.12 no.6
• /
• pp.745-754
• /
• 2010

This study is to find return factors when modern consumers purchase goods from an internet shopping mall and then to analyze the characteristics of complaints act and information search behavior. Subjects of research are 245 men and women, who have experience with more than one return in internet fashion shopping mall, in their twenties. The data were analyzed by using Factor analysis, Cronbach's analysis, one-way ANOVA, Duncan test as a post identification, Pearson's correlation analysis and multiple regression analysis. The results of this study are that male and female consumers in their 20s are mainly aware of the return factors: impulse buying, product status, deliver service, service after purchase, hype and comfortableness. And complains behavior often conduct public action, private action, nonaction. Information search behaviors for risk reduction when they purchase are product comparison, oral information search, neutral marketing information search, and service information search. The return factor from the internet fashion shopping had the greatest impact on public action and deliver services factor was a big complaint. In addition, impulse buying & Hype affect private action and non-action is influenced by impulse purchase. The consumer types by the return factors in internet fashion shopping mall are classified into the return group by deliver service, the return group by complex factors, and the return group by product status. Furthermore, there are significant differences in complaining behavior among these groups. In the information search behavior for reduction of risk factors, the return group by complex factors did more active information search behavior than the other groups. The return group by deliver service searched oral information and the return group by product status explored the neutral marketing information.

• The Research Journal of the Costume Culture
• /
• v.14 no.4
• /
• pp.596-608
• /
• 2006

The purpose of this study was to reveal the relationship between self confidence in fashion coordination and fashion information search of men. This study also examine the utility of services of fashion coordination in fashion store. A questionnaire was developed and data was collected from 248 male consumer in the age of $20{\sim}29$ living in Busan and it was analyzed by the statistical method of frequencies, factor analysis, analysis of variance and regression. The results of this study were as follows: First, information contents of fashion coordination include four dimension, such as fashion style information, knowledge about fashion item, way of putting-on for stylish appearance and beauty information. And degree of search fashion information was significant different among groups classified by consumer's level of self confidence in fashion coordination. Second, multiple regression analysis revealed that consumer's self confidence in fashion coordination could be predicted from the amount of search fashion information contents and information sources. In conclusion, fashion information search was important factor which influenced on self confidence in fashion coordination. and male consumers perceived fashion coordination services in fashion store will be useful information.

• Journal of Fashion Business
• /
• v.23 no.6
• /
• pp.49-63
• /
• 2019

The purpose of this study was to determine the satisfaction, trust and word-of-mouth intention of online information according to the type of information search by female cosmetics consumers in their 20's to 40's. For this study, online and offline surveys were conducted by 307 people. Factor, correlation, and multiple regression analysis were used to analyze the data. The main results are summarized as follows. First, the cosmetic consumer's information search types were identified as active, playful, and economic information search types. Second, the results of examinations on the effect of consumer information search types on satisfaction, reliability, and word-of-mouth intention of the online information searches showed that the active information search type had a positive effect on satisfaction, reliability, and word-of-mouth intention. The economic information search type had a positive effect on satisfaction. The active information search type was confirmed to have high satisfaction, reliability, and word-of-mouth intention for the provided information and thus, the acceptance of the provided information was high. The playful information search type was divided into continuous, habitual, and independent information search and a tendency to assign a low value to consumer information was confirmed. The economic information search type showed high satisfaction with the information obtained by searching, but also a passive attitude toward trust or word-of-mouth intention and was categorized as a passive search type. Online information search is a communication channel with a great influence that can provide various benefits to cosmetic consumers.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.1
• /
• pp.139-151
• /
• 2023

This study aims to gain insights into ChatGPT, which has recently received significant attention. The study utilized a mixed method involving case studies and news big data analysis. ChatGPT can be described as an optimized language model for dialogue. The question arises whether ChatGPT will replace Google search services, posing a potential threat to Google. It could hurt Google's advertising business, which is the foundation of its profits. With AI-based chatbots like ChatGPT likely to disrupt the web search industry, Google is establishing a new AI strategy. The study used the BIG KINDS service and analyzed 2,136 articles over six months, from August 23, 2022, to February 22, 2023. Thirty of these articles were written in 2022, while 2,106 have been reported recently as of February 22, 2023. Also, the study examined the contents of ChatGPT by utilizing literature research, news big data analysis, and use cases. Despite limitations such as the potential for false information, analyzing news big data and use cases suggests that ChatGPT is worth using.

• The Korean Journal of Franchise Management
• /
• v.13 no.3
• /
• pp.45-55
• /
• 2022

Purpose: Consumers' experience of functional attributes is remembered, and the experience lowers the cost of consumers' input from their point of view and reduces uncertainty. It also plays an important role in consumers' positive emotions and responses. Accordingly, if information search costs are reduced in terms of the costs perceived by consumers about restaurants, a strategy differentiated from other companies can be established. Therefore, this study investigated the effect of functional congruence of restaurant stores on information search cost reduction, positive/negative emotions, and loyalty. Research Design, Data, and Methodology: This study investigated functional congruence, information search cost reduction, and positive/negative emotions. The structural relationship between loyalty was analyzed. To verify this, a research hypothesis was established based on previous studies and a research model was constructed. The questionnaire items were modified and used according to the current study, based on previous studies. The data were collected using the questionnaire method from 187 people who had dining out experience. Frequency analysis was performed to confirm demographic characteristics. Reliability, convergent validity, and discriminant validity of the collected data were verified. The research model was analyzed with a structural equation modeling (SmartPLS 4). Results: The findings show that functional congruence had significant positive effects on information search cost reduction and positive emotion, but no significant effect on negative emotion. Information search cost reduction had significant positive effects on positive emotion/negative emotion but did not significantly affect loyalty. Lastly, both positive and negative emotions had significant positive effects on loyalty. Conclusion: Based on transaction cost theory, this study found how functional congruence and information search cost reduction influence consumers' emotions. The functional attributes of restaurants were perceived by customers as information, thus uncertainty was decreased. Finally, appropriate management strategies and implications of functional congruence and information search cost in the restaurant were suggested.

• The Research Journal of the Costume Culture
• /
• v.26 no.2
• /
• pp.251-263
• /
• 2018

As mobile shopping has increased in the new media age, fashion consumers' decision making and product consumption processes have changed. The volume of consumer-driven information has expanded since media and social networking sites have enabled consumers to share information they obtain. The purpose of this study was to determine the factors affecting information searching strategies and information sharing about fashion products. An online survey collected data from 466 respondents, relating to the influence of product price level and consumer SNS commitment level on information search and information sharing. Experimental design of three product price level and two consumer SNS commitment level was used. Analysis of the data identified factors in fashion information searching as ongoing searching, prepurchase web portal information search, and prepurchase marketing information search. For low-price fashion products, prepurchase product-detail influenced intention to share information. For mid-priced products, ongoing search significantly affected intention to share information. Both ongoing search and prepurchase marketing information search showed significant effects for high-price products. Consumers who are more committed to SNS engaged in significantly more searching in all aspects of information search factors. Significant interaction effect was detected for consumer SNS commitment level and product price level. When consumers with low consumer SNS commitment search for information on lower-priced fashion products, they are less likely do a prepurchase web portal information search.

• Journal of information and communication convergence engineering
• /
• v.18 no.1
• /
• pp.33-38
• /
• 2020

Elasticsearch is an open source search and analytics engine that can search petabytes of data in near real time. It is designed as a distributed system horizontally scalable and highly available. It provides RESTful APIs, thereby making it programming-language agnostic. Full text search of multilingual text requires language-specific analyzers and field mappings appropriate for indexing and searching multilingual text. Additionally, a language detector can be used in conjunction with the analyzers to improve the multilingual text search. Elasticsearch provides more than 40 language analysis plugins that can process text and extract language-specific tokens and language detector plugins that can determine the language of the given text. This study investigates three different approaches to index and search Chinese, Japanese, and Korean (CJK) text (single analyzer, multi-fields, and language detector-based), and identifies the advantages of the language detector-based approach compared to the other two.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.16 no.2
• /
• pp.111-126
• /
• 2014

The purpose of this study is to identify the antecedents of the attitudes toward purchasing fast fashion brands. As antecedents, fashion consciousness, eco-fashion consumption decision, ongoing search behavior, and shopping enjoyment were considered. It was hypothesized that fashion consciousness influence the attitudes toward purchasing fast fashion brands both directly and indirectly through eco-fashion consumption decision, ongoing search behavior, and shopping enjoyment. Data were gathered by surveying university students in Seoul, using convenience sampling. Three hundred five questionnaires were used in the statistical analysis, exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. The hypothesized relationship test proved that fashion consciousness influences the attitudes toward purchasing fast fashion brands both directly and indirectly through ongoing search behavior and shopping enjoyment. In addition, eco-fashion consumption decision influence directly influences the attitudes toward purchasing fast fashion brands. The results suggest some effective marketing strategies for marketers in the fast fashion industry.

• The Bulletin of The Korean Astronomical Society
• /
• v.40 no.2
• /
• pp.60.1-60.1
• /
• 2015

We present the current operation status of StarDB web services by showing its user access statistics. The StarDB web services started its operation in late November, allowing world-wide users to access results of new variability analysis for Northern Sky Variability Survey light curves. New analysis results of various time-series data have been added to the StarDB services. Importantly, our services have supported a simple cone search, which is an internationally well-defined catalog search interface in the international Virtual Observatory systems. We have collected user access statistics such as how users find our analysis data since its operation in later November. We expect our analysis of the StarDB operation to help Korean community members who plan and operate their own web services preparing for a future era of big survey data.

• Journal of Platform Technology
• /
• v.11 no.4
• /
• pp.50-61
• /
• 2023

The advancement of various big data technologies has had a tremendous impact on many industries. Diverse big data research studies have been conducted to process and analyze massive data quickly. Under these circumstances, new emerging technologies such as high-capacity persistent memory (PMEM) and Compute Express Link (CXL) have lately attracted significant attention. However, little investigation into a big data "search" platform has been made. Moreover, most big data software platforms have been still optimized for traditional DRAM-based computing systems. This paper first evaluates the basic performance of Intel Optane PMEM, and then investigates both indexing and searching performance of Elasticsearch, a widely-known enterprise big data search platform, on the PMEM-based computing system to explore its effectiveness and possibility. Extensive and comprehensive experiments shows that the proposed Optane PMEM-based Elasticsearch achieves indexing and searching performance improvement by an average of 1.45 times and 3.2 times respectively compared to DRAM-based system. Consequently, this paper demonstrates the high I/O, high-capacity, and nonvolatile PMEM-based computing systems are very promising for big data search platforms.