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Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi Jan 2007

Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi

Journal of International Technology and Information Management

Consumer credit is ubiquitous and lending poses credit risk – the risk of economic loss due to the failure of a borrower to repay according to the terms of his or her contract with the lender. And so, managing credit risk entails estimating the potential ability of borrowers to repay their debts. Researchers have sought to identify factors that contribute to consumer risk, by using quantitative models. However, the presence of data mining techniques to identify credit risk cannot be ignored. There is a paucity of research to demonstrate the use of data mining techniques in this context, and such …


An Examination Of Internet Effectiveness For Non-Work Activities, Pruthikrai Mahatanankoon, Tim Klaus, H. Joseph Wen Jan 2007

An Examination Of Internet Effectiveness For Non-Work Activities, Pruthikrai Mahatanankoon, Tim Klaus, H. Joseph Wen

Journal of International Technology and Information Management

The Internet is frequently used for non-work activities. When used for these purposes, the effectiveness of the Internet in accomplishing these leisure activities becomes an important consideration. Research literature has remained relatively silent in regards to the examination of accomplishing non-work tasks through the Internet. This study uses Davis’ Technology Acceptance Model (TAM) as a basis to predict different types of common user web activities—entertainment, communicating, and information searching. Using Structured Equation Modeling, this paper examines the effectiveness of the Internet in accomplishing non-work activities. In this study, the overall analysis of the survey data suggests that perceived ease of …


Corporate Blogs Of 40 Fortune 500 Companies: Distribution, Categorization And Characteristics, Shaoyi He, Jake Zhu Jan 2007

Corporate Blogs Of 40 Fortune 500 Companies: Distribution, Categorization And Characteristics, Shaoyi He, Jake Zhu

Journal of International Technology and Information Management

This paper studies corporate blogs as virtual communities, focusing on the distribution, categorization and characteristics of 40 Fortune 500 Companies’ blogs. Firstly, the 40 corporate blogs were classified by industries to see which industries are active advocates of corporate blogs. Secondly, the 40 corporate blogs were first grouped in direct competitor clusters and then categorized into four types of virtual communities: 1) Community of interest, 2) Goal-oriented community of interest, 3) Learner’s community, and 4) Community of practice. Thirdly, eight common elements were identified and compared for each of the 40 corporate blogs to find out their major characteristics. Finally, …