The role of ease of use, usefulness and attitude in the prediction of World Wide Web usage

1998 ◽  
Author(s):  
Albert L. Lederer ◽  
Donna J. Maupin ◽  
Mark P. Sena ◽  
Youlong Zhuang
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Ease Of Use ◽  
Web Usage

The Next Generation of Internet Portals

2011 ◽  
pp. 89-100
Author(s):  
Ali Jafari
Keyword(s):  
Artificial Intelligence ◽  
World Wide Web ◽  
World Wide ◽  
Next Generation ◽  
The World ◽  
Internet Portals ◽  
New Generation

Today’s portals bring together existing technologies in useful, innovative ways, but they don’t scratch the surface of what is possible. The constant build-up of information and resources on the World Wide Web demands a smarter more advanced portal technology that offers dynamic, personalized, customized, and intelligent services. This chapter discusses next-generation portals and the requirement that they come to know their users and understand their individual interests and preferences. It describes a new generation of portals that have a level of autonomy, making informed, logical decisions and performing useful tasks on behalf of their members. The chapter highlights the role of artificial intelligence in framing the next generation of portal technology and in developing their capabilities for learning about their users.

Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations

1996 ◽  
Vol 60 (3) ◽  
pp. 50-68 ◽  
Author(s):  
Donna L. Hoffman ◽  
Thomas P. Novak
Keyword(s):  
World Wide Web ◽  
Large Scale ◽  
World Wide ◽  
Structural Model ◽  
The Internet ◽  
Research Issues ◽  
Computer Mediated ◽  
The World ◽  
Conceptual Foundations

The authors address the role of marketing in hypermedia computer-mediated environments (CMEs). Their approach considers hypermedia CMEs to be large-scale (i.e., national or global) networked environments, of which the World Wide Web on the Internet is the first and current global implementation. They introduce marketers to this revolutionary new medium, propose a structural model of consumer navigation behavior in a CME that incorporates the notion of flow, and examine a series of research issues and marketing implications that follow from the model.

WebMonitor: a Tool for Measuring World-Wide Web Server Performance

First Monday ◽  
1997 ◽  
Author(s):  
Jussara M. Almeida ◽  
Virgilio Almeida ◽  
David J. Yates
Keyword(s):  
Operating System ◽  
World Wide Web ◽  
World Wide ◽  
Web Server ◽  
Size Distributions ◽  
Web Servers ◽  
Overall Performance ◽  
User Space ◽  
Web Server Performance

Server performance has become a crucial issue for improving the overall performance of the World-Wide Web. This paper describes WebMonitor, a tool for evaluating and understanding server performance, and presents new results for realistic workloads. WebMonitor measures activity and resource consumption, both within the kernel and in HTTP processes running in user space. WebMonitor is implemented using an efficient combination of sampling and event-driven techniques that exhibit low overhead. Our initial implementation is for the Apache World-Wide Web server running on the Linux operating system. We demonstrate the utility of WebMonitor by measuring and understanding the performance of a Pentium-based PC acting as a dedicated WWW server. Our workloads use file size distributions with a heavy tail. This captures the fact that Web servers must concurrently handle some requests for large audio and video files, and a large number of requests for small documents, containing text or images. Our results show that in a Web server saturated by client requests, up to 90% of the time spent handling HTTP requests is spent in the kernel. These results emphasize the important role of operating system implementation in determining Web server performance. It also suggests the need for new operating system implementations that are designed to perform well when running on Web servers.

Overcoming Stakeholder Barriers in the Automotive Industry: Building to Order with Extra-Organizational Systems

2003 ◽  
Vol 18 (1) ◽  
pp. 27-43 ◽  
Author(s):  
Mickey Howard ◽  
Richard Vidgen ◽  
Philip Powell
Keyword(s):  
World Wide Web ◽  
Web Services ◽  
Business Model ◽  
Automotive Industry ◽  
World Wide ◽  
Organizational Systems ◽  
Industry Dynamics ◽  
Order Model ◽  
Second Tier

The automotive industry must significantly change its outdated and unprofitable ‘sell-from-stock’ business model to a streamlined ‘build-to-order’ model. Extra-organizational systems (EOS) enable multiple firms to share industry-level systems linked by electronic portals and hubs. Successful EOS implementation requires a coordinated effort among various stakeholders including customers, dealers, vehicle manufacturers, first- and second-tier suppliers and logistics firms. However, each of these stakeholders erects different but significant structural, managerial, user and technical barriers to EOS. This paper analyses these stakeholder barriers and prescribes how they must be managed in order to implement EOS successfully. Three recommendations raise concern over (1) the differentiation between EOS and inter-organizational systems, (2) industry dynamics, particularly the role of suppliers and customers and (3) supply topology, i.e. the importance of World Wide Web services and standards in creating electronic markets.

World Wide Web Usage Mining

2011 ◽  
pp. 1242-1248 ◽  
Author(s):  
Wen-Chen Hu ◽  
Hung-Jen Yang ◽  
Chung-wei Lee ◽  
Jyh-haw Yeh
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
World Wide ◽  
Data Gathering ◽  
Web Usage Mining ◽  
Web Data ◽  
Mining System ◽  
Data Mining Techniques ◽  
Web Usage ◽  
Content Mining

World Wide Web data mining includes content mining, hyperlink structure mining, and usage mining. All three approaches attempt to extract knowledge from the Web, produce some useful results from the knowledge extracted, and apply the results to certain real-world problems. The first two apply the data mining techniques to Web page contents and hyperlink structures, respectively. The third approach, Web usage mining (the theme of this article), is the application of data mining techniques to the usage logs of large Web data repositories in order to produce results that can be applied to many practical subjects, such as improving Web sites/pages, making additional topic or product recommendations, user/customer behavior studies, and so forth. This article provides a survey and analysis of current Web usage mining technologies and systems. A Web usage mining system must be able to perform five major functions: (i) data gathering, (ii) data preparation, (iii) navigation pattern discovery, (iv) pattern analysis and visualization, and (v) pattern applications. Many Web usage mining technologies have been proposed, and each technology employs a different approach. This article first describes a generalized Web usage mining system, which includes five individual functions. Each system function is then explained and analyzed in detail. Related surveys of Web usage mining techniques also can be found in Hu, et al. (2003) and Kosala and Blockeel (2000).

Classifying Web Usage Behavior in the Workplace

2011 ◽  
pp. 211-234
Author(s):  
Murugan Anandarajan
Keyword(s):  
United States ◽  
World Wide Web ◽  
World Wide ◽  
The United States ◽  
The Internet ◽  
Web Usage ◽  
The World ◽  
International Data ◽  
Data Group ◽  
The Web

The ubiquitous nature of the World Wide Web (commonly known as the Web) is dramatically revolutionizing the manner in which organizations and individuals alike acquire and distribute information. Recent reports from the International Data Group indicate that the number of people on the Internet will reach 320 million by the year 2002 (Needle, 1999). Studies also indicate that in the United States alone, Web commerce will account for approximately $325 billion by the year 2002.

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