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Full-Text Articles in Business
The Classification Performance Of Multiple Methods And Datasets: Cases From The Loan Credit Scoring Domain, Jozef Zurada, Niki Kunene, Jian Guan
The Classification Performance Of Multiple Methods And Datasets: Cases From The Loan Credit Scoring Domain, Jozef Zurada, Niki Kunene, Jian Guan
Journal of International Technology and Information Management
Decisions to extend credit to potential customers are complex, risky and even potentially catastrophic for the credit granting institution and the broader economy as underscored by credit failures in the late 2000s. Thus, the ability to accurately assess the likelihood of default is an important issue. In this paper the authors contrast the classification accuracy of multiple computational intelligence methods using five datasets obtained from five different decision contexts in the real world. The methods considered are: logistic regression (LR), neural network (NN), radial basis function neural network (RBFNN), support vector machine (SVM), k-nearest neighbor (kNN), and decision tree (DT). …
The Study Of Competitive Priorities And Information Technology Selection: Exploring Buyer And Supplier Performance, Thawatchai Jitpaiboon
The Study Of Competitive Priorities And Information Technology Selection: Exploring Buyer And Supplier Performance, Thawatchai Jitpaiboon
Journal of International Technology and Information Management
Competitive priorities are the critical operational dimensions a process or supply chain must possess to satisfy its internal or external customers. The concept of competitive priorities is very important to organizations because it helps them set up achievable goals and it has long been known to be associated with organizational performance. This research introduces an alternative theory to explain the mechanism by which the buying firms and suppliers adopt different competitive priorities as they enter into buyer-supplier relationships and to explore further how technology choices influence the competitive priority adaptation. Using empirical data collected from the Society of Manufacturing Engineer’s …