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The purpose of this paper is to describe the development of an algorithm for realizing web crawlers that automatically collect dynamically generated webpages from the deep web.

This study proposes and develops an algorithm to collect web information as if the web crawler gathers static webpages by managing script commands as links. The proposed web crawler actually experiments with the algorithm by collecting deep webpages.

Among the findings of this study is that if the actual crawling process provides search results as script pages, the outcome only collects the first page. However, the proposed algorithm can collect deep webpages in this case.

To use a script as a link, a human must first analyze the web document. This study uses the web browser object provided by Microsoft Visual Studio as a script launcher, so it cannot collect deep webpages if the web browser object cannot launch the script, or if the web document contains script errors.

The research results show deep webs are estimated to have 450 to 550 times more information than surface webpages, and it is difficult to collect web documents. However, this algorithm helps to enable deep web collection through script runs.

This study presents a new method to be utilized with script links instead of adopting previous keywords. The proposed algorithm is available as an ordinary URL. From the conducted experiment, analysis of scripts on individual websites is needed to employ them as links.

This study explored spatial usage of a public library based on activity logs produced by real users. The purpose of this paper is to provide preliminary data for decision-making when establishing the library operation policy.

To achieve the goal, the author collected a variety of data including 274,242 seat reservations logs, 3,361,284 collection usage logs, and 96,098 user information for the four years in which the National Library of Korea, Sejong actually operated. The crawled data were analyzed statistically in terms of demography, month, day of week, time of day and room by room. The author conducted additional in-depth analysis according to the external factors such as weather or social demographic environment. Finally, the author discussed several issues and verified feasibility of the proposals to support decision-making in operating a library in conclusion with a secondary librarian interview.

The usage rate in all the spaces of the National Library of Korea, Sejong, has been increasing since its opening, and, in particular, the usage rate increases sharply in January, February, July and August. In addition, the usage rate during weekends was higher than that during weekdays, and all the four spaces had a high usage rate during the afternoon. These results seem to be related to weather, users’ life pattern, users’ age, and position of PCs and seats. Based on the circulation logs analysis of children’s collections, users in their 10s and 40s showed the same space usage pattern.

This study has significance in that it attempted to analyze logs produced by real users during the actual library operation period, which has not been frequently attempted in the previous studies on libraries. The findings will be provided as basic data to support decision-making for efficient operation of libraries.

The purpose of this study is to investigate the determinants of consumers' intention to adopt or continue to use Internet-only banks based on the benefit–risk framework and network externality theory. It also examines the difference in the determinants between pre- and postadoption stages of innovation.

The proposed research model was tested by using online survey data collected from a South Korean sample, which was divided into two subgroups of 321 nonadopters and 351 existing users.

In both pre- and postadoption stages, the number of services provided and trust had a significant positive impact on consumers' behavioral intentions, while security risks had a negative impact. Critical mass in the preadoption stage and convenience and economic efficiency in the postadoption stage had positive effects on consumer's adoption intention and continuance intention, respectively.

Internet-only banks must reduce the security risks for consumers and increase their trust. In addition, to facilitate the adoption of nonadopters, focus should be on securing a critical mass; on the other hand, to promote the continued use of existing users, the focus should be on enhancing benefits such as convenience and economic efficiency.

The results of this study confirm the influence of network externalities on consumers' adoption and use of financial technology services and show differences in consumer decision-making according to the innovation diffusion process.

Consumers’ environmental behaviours are not only the result of their positive attitudes towards environments, but also different reasons and motivations exist. Thus, the purpose of this paper is to find out important factors affecting sustainable apparel buying behaviour. Applying the theory of planned behaviour (TPB), this study further examines how knowledge about sustainable apparel, perceived money availability, and perceived accessibility to the store influence sustainable apparel consumption.

Using a purposive college student sample, 235 usable responses were collected to answer the questions. An exploratory factor analysis with principal component analysis was first performed followed by confirmatory factor analysis, and a structural equation modelling analysis.

Results revealed that the TPB was successfully applied in the context of sustainable apparel buying behaviour. Furthermore, it was found that consumers’ perceived money availability and perceived store accessibility are important factors that affect control beliefs and sustainable consumption.

This study found the needs of educating college students for contexts of environmental apparel and textiles issues.

Even though previous literature often found the gap between the behavioural intentions and the actual behaviour, this study found the respondents of this study walk their talk. This study successfully applied the TPB to explain consumers’ sustainable apparel buying behaviour.

The purpose of this paper is to determine which factors impact body image satisfaction of Generation Y college age and young professional females born between the years of 1980 and 1993, age 20-33 years in the State of Texas.

An online survey created in Qualtrics was e-mailed to recruit research participants. Quantitative data were collected and analyzed in IBM SPSS Statistics 21. Exploratory factor analysis, reliability, computing variable mean, and linear multiple regression were performed. The variables explored were divided and grouped into major factors.

Millennial females are influenced by their own personal preferences, morals and beliefs, and certain occasions, seasons, climate, and the weather. These factors significantly influence body image satisfaction. The model developed in this study provides researchers with a new perspective on body image satisfaction and purchase intent. This study extends the theory of reasoned action by identifying specific factors which influence body image satisfaction which leads to the final purchase decision.

Because of this method of data collection the study might not be generalizable to the entire Millennial population. The sample is a small representative sample in the population with only Millennial females’ ages 20-33 years in the State of Texas. Although the study focussed on a single state, the state is an extremely large state encompassing 36 percent of the USA population. Additionally, race/ethnic diversity was also a limitation, as the majority of the sample was Caucasian. Thus, a larger and more diverse sample of age, race/ethnicity, and residence could be added for more generalizable results.

The findings of this study enable retailers to understand how body image can impact the customers perceptions of their stores and their employees. Marketers and retailers should focus on marketing to Millennial females through more personal approach targeting what is appropriate for the consumers size body type labeled clothing size and certain occasions.

Confidence in decision making while purchasing apparel is an important aspect of shopping. Further research could benefit from focussing on determining the confidence drivers and their origins.

This study enhances literature by providing a glimpse into the minds of Generation Y female consumers’ body image satisfaction and the factors driving them to purchase apparel.