Invention Of Web Research Articles

Mediating Role of Advertising on the Relationship between Social Media and Online Risk on Online Shopping Habits

The invention of web 2.0 and the advancement of information and communication technology have provided consumers and businesses with the opportunity to utilise online transactions. The internet is an essential tool for doing online shopping. Despite the importance and popularity of online shopping, most Nigerian consumers largely depend on conventional shopping rather than online shopping due to their resistance to online shopping habits. In Nigeria, few studies have examined advertising, social media and online risk on online shopping habit. Thus, the study aims to investigate the mediating role of advertising on the relationship between social media and online risk on online shopping habits in Nigeria. A self-administered questionnaire was used to collect data from 375 respondents using a purposive sampling technique. Structural equation modelling was used to analyse and evaluate the hypotheses. The results show that online risk had an insignificant direct effect on online shopping habits. Again, the study result shows that social media has a statistically significant direct effect on online shopping. While advertising mediates the relationship between online risk and online shopping habits, it mediates the relationship between social media and online shopping habits.

Investigation of Heterogeneous Approach to Fact Invention of Web Users’ Web Access Behaviour

World Wide Web consists of a huge volume of different types of data. Web mining is one of the fields of data mining wherein there are different web services and a large number of web users. Web user mining is also one of the fields of web mining. The web users’ information about the web access is collected through different ways. The most common technique to collect information about the web users is through web log file. There are several other techniques available to collect web users’ web access information; they are through browser agent, user authentication, web review, web rating, web ranking and tracking cookies. The web users find it difficult to retrieve their required information in time from the web because of the huge volume of unstructured and structured information which increases the complexity of the web. Web usage mining is very much important for various purposes such as organizing website, business and maintenance service, personalization of website and reducing the network bandwidth. This paper provides an analysis about the web usage mining techniques. Â

Design and Development of E-Governance Model for Service Quality Enhancement

Governance is a process of establishing policies or laws and continuously monitoring their implementation in the public. Citizens are the main stakeholders in this process. To make the governance process cost effective, easy and convenient to the citizens, information and communication technologies (ICTs) are playing a vital role. Using ICTs in governance domain can be referred as e-governance. It helps citizen to participate not only in policy making but also in service quality improvements and getting government services over network. Web technology is one of the major technologies that have been used in e-governance as a major contributor. Before invention of web, citizens used to write their opinions and send to concerned body via post mail or local suggestion box for improvements of services. After the invention of the web, it became possible to post or send the opinions/comments over organization’s web sites or portals. As the number of comments increases over the web, it is very difficult to have relevant information for furthering the decision making processes. In these study, text processing and data mining techniques have been used. The prototype system classifies citizen’s opinions in one of six service categories with the precision of 87.3% and recall of 85.8%. Further, the system determines opinions as appreciation with the precision of 100% for both depression and appreciation, and average recall of 90.85% for both depression and appreciation. The results obtained from the prototype system indicate that the techniques that have been applied are promising for real world application in e-governance.