• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.4
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• pp.85-95
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• 2014

In the e-commerce, the conversion into the multi-media is the important issue. According to the research by Nielsen Korea, the 83% of customers who purchase the products in the e-commerce utilize multi-channel to buy the products such as mobile and online [3]. Thus, to effectively implement online advertising, marketers should understand the customers' path [15] in the multi-channel. The study of the multi-site activities plays an important role to predict customers' purchase [28]. To explain the e-commerce site visit activities of customers, we have developed research model in terms of the online advertising. This research model is based on the study of Moe and Fader [23]. There are two types of composition in the research model. First, general site visit as an exploratory search have net effect on the shopping site visit because customers could acquire or develop information on the e-commerce site via online advertising. Secondly, the e-commerce site visit as a goal-directed search cause threshold of the e-commerce site visit because customers could achieve their goal. When the threshold is increased, the probability of a shopping site visit is decreased and vice versa. Thus, we have investigated the impact of customers' previous visit activities (general site visit and shopping site visit) on the next e-commerce site visit in terms of dynamic view. Research data was provided by Cheil World Wide. This panel data include mobile and online log data of panelists from Jan. 2013 to March 2013. As the results, the customers' e-commerce site visit on the online media would decrease the probability of e-commerce site visit because these visit activities increase the threshold of e-commerce site visit. This result is similar with the previous study [23]. Otherwise, since e-commerce site visit on the mobile media decrease the threshold, the customers' probability of e-commerce site visit would increase In summary, the site visit activities on the mobile could improve the probability of e-commerce site visits.

• Journal of Family Resource Management and Policy Review
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• v.7 no.1
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• pp.77-89
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• 2003

This study examines factors to influence consumers’reliability, and satisfactions for consumer anti-site, and willingness to visit that site again among consumers utilizing anti-sites. According to the results of this study, first, male, consumers utilizing electronic commerce were more likely to visit anti-site. Consumers were more likely to write their own message and reply other consumers’message in anti-site when they have purpose to complain about their dissatisfaction regarding the process of purchase behavior. Second, consumer's satisfaction is higher in cases of consumers having higher recognition of necessity of anti-site, visiting not required to affiliate the members of anti-site, and being reliable sites. Third, consumers were more likely to use anti-site again when they had higher recognition in the necessity of anti-site and were more satisfied. Finally, in order to facilitate the utilization of anti-sites, those solutions include systematic classification and management of writings listed in the site, active management of the site managers, solutions for criticisms on the writings listed and lack of objectivity of information provided, and active searches for solutions rather than listing of writings on discontents and resistance.

• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.137-149
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• 2007

Most of hospitals, especially small-scale hospitals, have tried to get customers through the Internet as what companies have done recently. There are various attempts that increase visits to one's web-site in plastic surgery hospitals. However, in plastic surgery, there have been few studies on which an attribute contributes to increase the number of web-site visit. In order to derive the important attributes on the number of visit, we compared functional attributes of 30 high-visit plastic surgery web-sites with those of 30 low-visit web-sites using statistical and data mining methods. For analysis, three methods have conducted including Multiple Discriminant Analysis (statistical method), Decision Trees (data mining method), and Artificial Neural Network (data mining method). Furthermore, results of each method have been evaluated one another. The result of this study shows that a few attributes like 'Simulating cyber plastic surgery program', 'recommendation of information' explain the number of the visitors between high and low visit web-site. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.249-257
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• 2023

In this paper, we propose ways how portal site POI(Point-of-Interest) contents by analyzing the effect of portal site POI contents attributes on favorability, satisfaction, and visit intention, and to propose a strategic marketing plan using portal site POI contents in restaurants. In this study, a survey was conducted on 300 people who had experience using portal site POI contents. Through prior research, the portal site POI contents attributes were classified into accuracy, authority, aesthetics, and currency. To verify the research hypothesis, single regression analysis and multiple regression analysis were conducted to confirm the relationship between variables. To summarize the core research results, first, the portal site POI contents attribute showed a positive relationship with favorability. Second, it was found that the portal site POI contents attribute had a positive relationship with satisfaction. Third, it was found that favorability had an effect on satisfaction. Fourth, it was found that favorability had an effect on the visit intention. Fifth, satisfaction was found to have an effect on the visit intention. Based on the analysis results, in order to induce customer visits in restaurants, it is necessary to make good use of portal site POI contents to increase user favorability and to allow users to visit stores.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.1-16
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• 2019

Social media is one of the important marketing channels for companies, changing the way interacting with customers. Marketers attract participation from customers' in social media platforms by producing branded content, which helps them gain various marketing results such as brand awareness, web traffic, and sales. The number of the empirical studies on the effects of social media on marketing performance is still low although various success stories and studies have been published. In particular, IT companies are trying to attract users onto their websites with social media content and promotions; however, they regard the number of the visitors as a vanity metric, which has little effectiveness. The study examined the Effect of the site introduced via Facebook, a typical social medium, on customers' revisit. Precedent studies proved that revisit, one of forms of major visit for satisfactory results of a website, is suitable for analyzing the operational output on Facebook pages. The results of the study demonstrated that Facebook content has a positive impact on website inflows and revisits. Also, it turns out that the higher the average website visit depth reinforces the positive relationship between the rate of the inflow and that of the site revisit.

• Korean Management Science Review
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• v.20 no.1
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• pp.25-36
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• 2003

Now that many organizations have invested a tremendous amount of money and efforts to operate Web sites on the Internet, there is a strong demand to understand the effectiveness of such investments. In other words, one of most frequent and important questions about their Web sites is "Will the current Web site management policy be effective enough to have more visitors come to our Web site\ulcorner" In this paper, a system which predicts the degree of user interest in the future to Web sites is constructed. The degree of user interest to a Web site is defined to be the visit counts for the Web site in the system. With higher the visit counts, the related site is considered to be more interesting. However, the figures of the visit counts themselves cannot explain properly the degree of user Interest in the future to the related Web sites (i.e. the effectiveness of the related Web sites). Therefore, the system also uses mechanisms which use the concept of the Moving Averages, which have been used frequently in the stock exchanges. In this paper. two prediction mechanisms are proposed and compared. The first mechanism uses the Golden Cross/the Dead Cross of the Moving Averages, while the second mechanism uses the changes of upward/downward direction of the Moving Averages. Experimental results show that the two prediction mechanisms proposed in this paper predict the degree of user interest in the future to the related Web sites very well in most cases. However, the first one is considered to be better than the second one In the sense that the second one is too much sensitive to the changes of visit counts.it counts.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.135-158
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• 2004

On-line consumers have some visit behavior characteristics when they visit internet-shopping mall between visit-stage and purchase-stage. Therefore, information of on-line consumers have influenced on internet-shopping mall's profitabilities at site manager's perspectives. For examples, Are any on-line consumers continuous visiting under any situations? Or are any on-line consumers purchased on any specific internet-shopping mall? Expecially in this paper, researcher tried to understand visit behavioral characteristics of on-line consumers using two-stage mixture regression analysis. Throughout this process, it could be proposed method, which could be reinforced competitiveness of internet-shopping mall by segmental decision-making method. Additionally, it is expected that visit behavioral characteristics' information could be supplied strategic implications between visit-stage and purchase-stage Throughout empirical test it could be proved two-stage decision-making process, which decision-making process of on-line consumers would be processed visit-stage and purchase-stage. In this study, researcher proposed suitable response strategy after understanding visiting behavioral characteristics of on-line consumers. This paper has some academical contributions, which visit behavioral characteristics of on-line consumers could be grasped the meaning by site stickiness and navigation pattern.

• Environmental and Resource Economics Review
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• v.10 no.1
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• pp.1-23
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• 2001

This paper reviews a single trip decision to visit individual sites of a natural park within a random utility framework as an alternative to travel cost model. The model is applied to a 1998 survey of on-site visitors to Mu Deung Mt. neighboring Kwang Ju. city. Out of four sites considered, the model seemed to provide a reasonable description of behavior for three sites. In addition to travel costs as an implicit price, variables reflecting characteristics of each site also influenced decisions to visit the site. Moreover, benefits estimates derived from the RUM implied that visitors placed three times higher values on a site based on cultural inheritance compared with those of two recreational sites.

• Management & Information Systems Review
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• v.32 no.1
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• pp.43-62
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• 2013

In order to know the characteristics of high visit web sites that many people have visited, 37 high visit websites of plastic surgery were compared to 69 benchmark sites of same industry. We selected 36 web site attributes that can be measured objectively from existing studies and composed the data set of 36 attributes multiplied by 106 websites. For analysis, Multiple Discriminant Analysis(MDA) and Decision Tree Technique are conducted for searching what attributes divide two group definitely. The result of this study shows the dividing attributes fall into 3 categories like 'Community', 'Mobile', 'Up to date'. Thus, we are able to conclude that high visit plastic surgery web sites are community centric site but not contents centric, response a change to mobile environment rapidly and are maintained with tide up to date. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.147-152
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• 2013

Now, plastic surgery has become the industry for beauty. In order to know the characteristics of high-visit web sites that many people have visited, 33 high visit websites of plastic surgery were compared to 60 benchmark sites of same industry. We selected 34 web site attributes that can be measured objectively from existing studies. For analysis, Multiple Discriminant Analysis(MDA) is conducted for searching what attributes divide two group definitely. The result of this study shows the dividing attributes fall into 2 categories like 'Community', 'Up to date'. Thus, we are able to conclude that high-visit plastic surgery web sites are community-centric site but not contents-centric and are maintained with tide up to date. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.