• Journal of the Korean Society for information Management
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• v.29 no.3
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• pp.61-77
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• 2012

This study investigated what web users share on a health website and how the demographic characteristics of users reflect health information sharing behavior. By using a content analysis method, this study analyzed 1,042 randomly chosen messages in the discussion board of a health website. The results revealed that the health website users emotionally supported other users, provided health information, and built relationships between them. Two third of the health website users shared his/her thoughts or feelings about ALS (Lou Gehrig's Disease) on the health website and one fourth of the health website users connected with others who had ALS. A half of the users actively provided information as a direct response to a question. No significant differences were discerned with regard to total posting frequency by age and gender effect. However, the male users in the 50s answered questions to others more actively and tried to manage their life better than the other age groups.

• Journal of Distribution Science
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• v.8 no.2
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• pp.13-22
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• 2010

Customer Relationship Management(CRM) paradigm has emerged that suggests organizations will be more successfully if they concentrate on obtaining and maintaining a share of each customer rather than a share of the entire market, with information technology(IT) being the enabling factor. This paper presents five key elements that provide the necessary steps that allow and organization to position its people, business process, and information system to establish and take advantage of this paradigm. The key elements are : (1) IT investment, (2) Website application, (3) IT System application, (4) Communication strategies, (5) CRM Performance. The results show that IT investment, IT system application, and Website application play a vital role in enhancing an Organizational Communication. Also, the results show that IT investment, IT system application, Website application, and Organizational Communication play a vital role in enhancing an organization's performance of customer relationship management. Further, this paper discusses the importance of integrating these four elements for achieving effective customer interaction. The author provides academical and managerial implication for business strategies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.395-405
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• 2021

The sophistication of technology information has led to a series of innovative activities in the economy, particularly in buying and selling products and services both conventionally and online. Currently online activities provide opportunities for customers to get the desired needs. The purpose of this research is to examine the effect of website quality, hedonic shopping motivation, and impulse buying on customers' satisfaction of online shopping in Indonesia. Eight online marketplaces are the focus of this research. This study uses a quantitative approach. This is a structural equation research with data obtained from 177 students through an online questionnaire using a five-point Likert scale; the selection criteria is having shopped online from various universities in Indonesia. The statistical testing tool used is SPSS 26.0, with the effect between variables determined using Partial Least Square (SmartPLS 3.0). The findings of this study indicate that the nine proposed hypotheses are accepted, positively and significantly, directly or indirectly, which are supported by previous research to reinforce the findings that have been found. The interesting attributes associated with this study are hedonic shopping motivation and impulse buying that mediate the relationship between website quality and customer satisfaction of online shopping in Indonesia's marketplace.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.575-580
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• 2024

Detecting the status of websites, normal or phishing, is necessary to defend against intelligent phishing attacks. We propose a machine learning-based classification to predict the status of websites. First, we collect information about 'URL', convert it into numerical data, and remove outliers. Second, we apply VIF(Variance Inflation Factors) to understand the correlation and independence between variables. Finally, we develop a phishing website detection model with machine learning-based classifications, which predicts website status. In the test datasets, Random Forest showed the best performance, with precision of 93.74%, recall of 92.26%, and accuracy of 93.14%. In the future, we expect to apply our model to detect various phishing crimes.

• Journal of Distribution Science
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• v.20 no.2
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• pp.1-9
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• 2022

Purpose: The online distribution channel has attracted the attention of retailers by potential impact on consumers' purchase intention. The objectives of this study are to provide an insight into how to encourage consumers' impulse buying behavior on commercial website as well as attempts to reveal factors that influence consumers' impulsive buying behavior in the online shopping environment. Research design, data and methodology: The research framework is based on the stimulus-organism-response (S-O-R) framework. The Meta-analysis method carried out the research, gathering data from 37 published studies. Results: The research findings suggest that intrinsic motivations such as perceived ease of use, perceived enjoyment, and online flow experience play a significant role in boosting consumers' hedonic value when buying and online. In addition, these findings help online retailers use appropriate marketing stimuli such as offering pricing incentives, promotion tactics, and improved communication effectiveness. Also, obtaining a better grasp of how to build a website to improve the consumer experience generally helps consumers feel the urge to buy impulsively and act without hesitation. Conclusions: This research confirms a direct positive relationship between marketing stimuli and hedonic shopping value, which may support an applied theoretical framework for future research and provide managerial implications for retailers in online distribution channels.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.907-916
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• 2017

Recently, various studies related to ICT convergence have been made. Recently, various studies related to ICT convergence have been made. In the academic field, the demand for ICT convergence is on the rise. For example, Digital Humanities and Area Informatics are representative. Area Studies means to study the culture of a specific area in an integrated way. In this regard, researchers who specialize in researching overseas area generally use websites to obtain information related to the area. The Multilingual Mediterranean Web Service System(MMWS), which is operated by the Institute for Mediterranean Studies of Busan University of Foreign Studies is a web site that provides professional and general information to researchers or ordinary people studying in the Mediterranean area among overseas area. In this paper, we analyzeoverseas web sites the MMWS and discuss how to activate web sites based on the analysis results. In details, it analyze MMWS through log analysis and use Google Analytics, a log analysis system provided by Google for analysis. Also study how to use ICT convergence contents as a website activation method.

• Archives of design research
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• v.15 no.1
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• pp.135-142
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• 2002

To show the analytic approach to website sue, this paper discusses style's function that is immediately related to users emotional and aesthetic satisfaction. And we make an analysis of several websites based on various visual factors. Style provides emotion, a shared experience, context that makes the message arts function immediately apparent, and interests. It is a principle design feature that parallels cognitive function. Visual factors of website interface could be extracted from various aspects which are organization level, medial level, and formative level. Based on the extracted visual factors, we analyze the style which convey emotional idea. We select several sites which are opposite side in the image map with son-hard and warm-cool axis, and then make an analysis of them in two points which are organization and formative factors and communication means for emotional effect. To understand the systematic approach to website style could be helpful for figuring out the design problems and bringing out many solutions. It could be base for concrete guideline for website page design.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.273-290
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• 2022

Localization of e-commerce websites is a useful tool for providing the world with business organizations and money-making enterprises. However, studies on e-Commerce website localization within the language domain are still quite limited. Thus, the study aims to investigate the relationship between the Arabic language and a wide range of e-Commerce website intentions, clarifying the indirect effects of the Arabic language on intentions to use e-Commerce websites using perceived risk and trust as mediating variables, and determining whether trust and perceived risk work as mediating variables between the Arabic language and e-Commerce website intentions. Survey data collated from participants totaling up to 264 has been used to test the research framework. The selection of these participants is based on their experiences employing e-Commerce websites. Structural equation modeling (SEM) through partial least square (PLS) software was used for the data analysis. The results show that the Arabic language, trust, and perceived risk play effective roles for e-Commerce websites adoption. More importantly, trust and perceived risk positively mediate the relationship between the Arabic language and intentions to use e-Commerce websites. Implications of the study's findings and suggestions for further research are discussed.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.45-58
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• 2018

As information and communication technologies (ICTs) become more advanced, consumers are able to experience retailing activities such as searching for products and services in online retail shops and for Internet-exclusive branded contents. Specifically, fashion retailers are facing the need to develop more novel experiential design than one another to maximize customers' experience in Internet websites and secure sustainable competency. Confirming methods of organic integration of experiential and visual features of both online and mobile channels is an important aspect of the study of extended consumers' interfaces of retail channels. Mehrabian and Russell's stimulus-organism-response (S-O-R) paradigm and Sugiyama and Andree's attention, interest, search, action, and share (AISAS) model were used for this research. Specifically, the present study considered the effect of e-commerce website features on consumers' emotional reactions (pleasure and arousal) and the consequent impact on online consumer behaviors (search, action, and share). Hence, plus the self-reported survey methods, each subject's psychophysiological indicators (i.e., pleasure and arousal) were measured to obtain more objective and reliable data and to redeem the results of the self-reported survey. Findings revealed the implications of the e-commerce website feature by comprehending the S-O-R paradigm and AISAS model and extending the understanding of the role of variables associated with comprehended frameworks based on psychophysiological data.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1158-1159
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• 2013

It gives to users a difficulty for searching between this huge numbers of programs. Searching the best applications for our needs is a big challenge today. In this paper, we propose a study on collaborative filtering based app recommendation system. The proposed method is composed of three steps. In the first step, we extract the data set from the target website. In the second step, we parse the extracted raw data according to the types, and store in a database. In the third, we perform recommendations based on the stored data in database.