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This study employed Path Analysis to investigate the relations among Website Quality, Brand Awareness, Perceive Product Quality and Purchase intention from consumer point of view. Data were collected from 200 Indonesian website users which focus on video games online store. A significance and positive influence exists for each variable of website quality, brand awareness, perceive quality and purchase...
On the basis of extant literature, we built a conceptual model of the relationship among Perceived Quality, Perceived Value, Satisfaction, Sense of Belonging and Usage, and proposed some hypotheses about the influencing factors of continued system usage in SNS. To test the hypotheses, we designed a questionnaire, and conducted a survey in Xidian University. We used SPSS13.0 to analyze the collected...
This work presents a classifier capable of classifying websites accessed by a community of users based on characteristics of web traffic they generate. The classifier introduced here can be used for engineering web traffic. This classifier is capable of identifying a few different classes of websites based on intensity of bursts of web requests made to each website in both the long and the short run...
Privacy concerns are identified as one of the main factors that have a negative impact on Internet users' online behaviour. Often, Internet users do not have confidence that a web site will ensure their privacy either in collection nor in future usage of their personal information. In this article we propose a categorization of factors that can influence users' privacy perception during their online...
In network economy, it's very important for Chinese tourism web sites to raise their core competence. This paper adopts multiple correspondence to evaluate Chinese tourism websites by utilizing real-time detecting tool. In this research, tourism websites should improve their service levels through constructing their web sites and strengthening their service functions.
Due to Digital products is different from traditional products, so that we seek to re-examine the marketing strategy which proposed to meet the traditional products with a new perspective, Therefore, we studied the consumers demand of the digital products based on the endogenous evolution mechanism of the consumers implicit demand, then we explorered the influence mode which the exchanged knowledge...
A network of concepts is built from Wikipedia documents using a random walk approach to compute distances between documents. Three algorithms for distance computation are considered: hitting/commute time, personalized page rank, and truncated visiting probability. In parallel, four types of weighted links in the document network are considered: actual hyperlinks, lexical similarity, common category...
The existing literatures on Word-of-mouth (WOM) focus almost on the motivation, behavior, affecting factor of WOM spread. Researches about WOM on Tourists' decision-making in the on-line environments are extremely exiguous. This article constructs the research framework model from the interpersonal factor (receiver's trust propensity, tie-strength of the sender and the receiver) and impersonal factor...
This study integrates Technology Acceptance Model (TAM) and flow theory to explore the relationship among online consumers' internal and external perceptive factors, and intention to return. This study examines the online consumers from Taiwan's biggest B to C website, and questionnaire-based empirical study is used to collect data. There are 1254 valid surveys and structure equation model (SEM) is...
This paper presents a new method to find leading indicators of domestic book sales from conventional Blog information. Although Blog information is different from actual purchases, it will influence customer behaviors. They consider it would be useful for decision making of businesses and organizations. Main contributions of the paper are three fold: 1) As well as study on the US of an Internet bookstore,...
This paper explores new approaches and methods to characterize post and citation dynamics in different blog communities. In particular, evolution of post popularity over time is studied, as well as information spreading cascades. This methodology goes beyond traditional approaches by defining classes of dynamic behaviors based on topological features of the post network, and by investigating the impact...
Users always expect to acquire high quality services from online banking. Previous studies have found that website system quality is a main factor determining online users' initial adoption and usage. For their continuance usage, service quality may be a main determinant. This research proposes that online banking service quality, reputation and security influence users' continuance usage through...
Based on the forest tourism rapidly developing, the network traveling market development is rapid, the traveling way personalization and the region traveling informationization strengthen unceasingly. The article researches forest park space and function differentiation rule, And uses the least squares method, uses the Eviews 5.0 software to analysis the local environment, the forest park supplies...
This paper provides an empirical research about bidding behaviour and final price evolution in competing auctions. The results obtained have been supported with online auctions data from eBay. About bidding behaviour, we found that bidders use cross-bidding (bidding between competing auctions) and sniping (last minute bidding on an item) strategies to maximise their profits. Moreover, no price decline...
With the increasing popularity of online shopping, e-commerce is becoming more and more important for enterprises to obtain superior performance. The purpose of this study is to identify some key determinants impacting customer purchase intention in e-commerce context. Building on the relevant literature, this article proposed e-commerce serive quality (ESQ) as a primary construct to predict purchase...
Today, Internet has become an indispensable tool for everyone, Web usage mining correspondingly becomes a hotspot, which uses large amounts of data in the Web server log and other relevant data sets for mining analysis and gains valuable knowledge model about usage of relevant Web site. At present, a lot of works have to do with the positive association rules in Web usage mining, but negative association...
Today, online stores collect a lot of customer feedback in the form of surveys, reviews, and comments. This feedback is categorized and in some cases responded to, but in general it is underutilized - even though customer satisfaction is essential to the success of their business. In this paper, we introduce several new techniques to interactively analyze customer comments and ratings to determine...
This paper developed a conceptual model through a survey of literature on e-service, and then it has a demonstration analysis of the world's largest online bookstore in China Dangdang.com. The study measured the impact of four dimensions on e-satisfaction and funds the relationship between e-satisfaction and e-loyalty. According to their relationship, it will give a hand to the online bookstore manager...
We analyze a segment of the user click log with 53.7 m clicks through a large scale video search engine. We find, with the help of search engine, users visit a large number of online videos for a general idea, and visit a lot of Web sites to view a large number of duplications for a popular video content. By studying the relationship between the number of video that a Web site owns and the number...
In the last few years, social networking sites (SNSs) have grown rapidly as a new media used by people to create and maintain relationship. Ironically, social network sites are also used to do deviant behaviors, i.e. pornography, racism, predators, and fake profiles. A need then emerges to reduce those deviances. This research tries to recognize the deviants based on their characteristics. Descriptive...
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