• The Journal of Bigdata
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• v.2 no.2
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• pp.105-114
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• 2017

Today, many services are supported on the web sites. Analysis of usage patterns of web site visitors is very important to optimize the use and efficiency of the web sites. In this study, analysis of usage patterns and comparative analysis of user groups were conducted by analyzing web access log provided by BPI Challenge 2016. This data provides access logs to the web site in the IT system of a Dutch Employee Insurance Agency (UWV). The customer information, and the click data describing the customers' behavior when using the agency's web site. In this study, we use process mining techniques to analyze the usage patterns of customers and the characteristics of customer groups, and ultimately improve the service quality of customers using web services.

• Journal of Information Science Theory and Practice
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• v.8 no.3
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• pp.47-63
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• 2020

This study focuses on users of activity tracking technologies and their related information behavior. How useful is the provided information by the trackers? Do users understand all information and explanations? We conducted a web-based survey. All in all, 631 users of a tracking device filled out the survey. From the perspective of information science, this investigation aims to analyze information needs considering different types of the provided information by activity tracking technologies. Are users satisfied by using the information on their steps, heart rates, and sleep duration? How do users assess readability about heart rate zones and sleep stages? Additionally, we investigated if users understand how to reflect on and adapt their health behavior based on the received explanations. According to the results, users mainly agree that the received information (raw data as well as - to a lesser extent - aggregated data in the form of corresponding diagrams) is useful, that the explanations are easy to understand, and that they know how to use this obtained information. This investigation enables an in-depth insight into how users are applying the self-quantifying activity and health information and which information needs are satisfied.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.229-250
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• 2004

The purpose of this study is to investigate the correlation between users' preferences of Personality types and their attitude towards patterns of Web OPAC use mainly focus on their search behaviour and their preferences for the interface. Data res collected through the MBTI test and self-designed online questionnaire. The original MBTI personality types were re-coded into 4 categories of preferences of personality types, that is, E(Extraversion), I(Introversion), S(Sensing), N(iNtuition), T(Thinking)-F(Feeling), and J(Judging)-P(Perception) and then analysed their correlation with patterns of Web OPAC use by Person's correlation coefficient (r) in SPSS Windows Ver. 11.0. It is noteworthy that 9 out of 28 factors of Web OPAC search behaviour and preferences for interfaces show statistically significant correlation with users' MBTI preferences of personality types.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.391-404
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• 2019

Customers' fixed characteristics have often been used to predict customer behavior. It has recently become possible to track customer web logs as customer activities move from offline to online. It has become possible to collect large amounts of web log data; however, the researchers only focused on organizing the log data or describing the technical characteristics. In this study, we predict the decision-making time until each customer makes the first reservation, using Airbnb customer data provided by the Kaggle website. This data set includes basic customer information such as gender, age, and web logs. We use various methodologies to find the optimal model and compare prediction errors for cases with web log data and without it. We consider six models such as Lasso, SVM, Random Forest, and XGBoost to explore the effectiveness of the web log data. As a result, we choose Random Forest as our optimal model with a misclassification rate of about 20%. In addition, we confirm that using web log data in our study doubles the prediction accuracy in predicting customer behavior compared to not using it.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.137-168
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• 2014

This study proposed to seek the future development direction of policy information service in Korea by identifying users' needs for policy information and analyzing policy information users' behavior. For this purpose, we analyzed policy information users' needs and behavior through survey and interview methods, and the results are as follows. First, the most common purpose of policy information use was figuring out policy trends, and the Internet was the most common search method used in investigating policy information. Second, electronic resources showed a high rate of use, but the domestic material utilization ratio was higher, and the U.S. resources usage of overseas data was the highest. Third, users most often used materials produced within the last 2-5 years, and Web DB (journals, academic articles, etc.) and reports were the most used material types. Fourth, in the survey of opinion about methods for improving policy information utilization efficiency, cooperation between government agencies' libraries, cooperation between agencies producing the policy information resources, and the overall national collection of policy information were rated the highest.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.205-229
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• 2014

Examination of the various impact factors on adoption sustainable IT can influence on the potential for creating sustainable businesses in today's society. However, the societal factor out of environmental factors, which stimulates customer intention to use sustainable IT, has seldom been investigated. In this paper, we examine the adoption of sustainable web technology from the pro-social behavior perspective. The concept of sustainable IT is theoretically examined based on social exchange theory. An empirical investigation is conducted into customer intention to use new sustainable IT. The results indicate that customers care about the social responsibility and usefulness of the sustainable IT-based services they choose. In this study, the social features of web technology and their influences on adoption are verified empirically for the first time. In addition, pro-sociality is identified as necessary to a perception of the socially responsible features of information technology. Furthermore, pro-social adoption behavior in the beginning stages of sustainable IT use is elucidated.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.443-446
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• 2002

In this research, we suggest a Web-based hybrid recommendation mechanism using CBR (Case-Based Reasoning) and web data mining. Data mining is used as an efficient mechanism in reasoning for relationship between goods, customers' preference and future behavior. CBR systems are normally used in problems for which it is difficult to define rules. We use CBR as an AI tool to recommend the similar purchase case. A Web-log data gathered in real-world Internet shopping mall was given to illustrate the quality of the proposed mechanism. The results showed that the CBR and web data mining-based hybrid recommendation mechanism could reflect both association knowledge and purchase information about our former customers.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.509-514
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• 2007

Most of the IS continuance research has assumed that IS use is activated by an intention to use, which in turn is determined by the evaluation of IS usage. Perceived usefulness is one of the evaluation variables most widely used. Typically, the past studies adopt this perceived usefulness because it views continuance as an extension of acceptance behavior. However, the literature on interpersonal relationships suggests that individuals are motivated to maintain relationships either because they genuinely want to or they believe they have no other option. The former is referred to as dedication-based relationship maintenance and the latter as constraint-based relationship maintenance. The IS continuance can be considered as the relationship maintenance situation with the existing IS that the user is currently using. The belief constructs previously used in IS continuance researches fall into the category of dedication-based ones. Additional constraint-based belief constructs are needed to explain the IS continuance behavior. In this regard, switching cost represents an important avenue for better understanding and predicting customer retention in that it can be regarded as the constraint-based motivation for relationship maintenance or IS use continuance. For an empirical exploration, 275 samples were collected from the users of a web portal site. Data analysis using Structural Equation Modeling (SEM) shows that perceived usefulness shows a significant direct effect on continuance intention while perceived switching cost significantly affects continuance usage.

• Journal of Nutrition and Health
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• v.34 no.8
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• pp.946-955
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• 2001

This study was performed to investigate the dietary supplement use and related factors by college students attending in web class. One thousand four hundred college students(male: 632, female: 768) were participated in this study. The questionnaire about dietary supplements use, demographic characteristics, eating behavior, health-related lifestyles, nutrient intake was self-administered and the data were obtained via internet or mail. Dietary supplements were taken by 63.6%(male : 62.2%, female : 64.2%) of subjects. The higher concern about nutrition and health, the higher the incidence of dietary supplements taking was(p < 0.05). Dietary supplement users were satisfied more than non-users about meal served(p < 0.05). Supplements used by most male students were lactic acid beverage, Chinese medicine, geigogi geisoju and multivitamin, Chinese medicine, fiber-processed flood for female students. Most of dietary supplement users answered that the sources of information on supplements were 'friend, family or relatives' and 'TV or radio'. Dietary supplement users were taking significantly more nutrients compared to non-use. Therefore, it may be necessary to provide nutrition information and education which show that balanced diet is the best nutritional strategy for health promotion and diet supplements can be helpful in deficient state nutrients.

• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.27-46
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• 1999

This study was intended to find the use patterns of internet search engines of librarians and to measure the relationship between internet use frequency and the use behavior of internet search engines. The results showed that librarians use Web search engines for academic information retrieval and are satisfied with the search results. The major problems when librarians use search engines were that search engines retrieve many non-relevant documents. As a result of hypotheses test, the relationship between internet frequency and the preference of search engines was not significantly different. On the other hand, the hypotheses that internet frequency affects satisfaction of search results, recognition of importance of search engines, and the need of retraining of librarians for internet information retrieval were shown to be significant.