Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
An Evaluation Of Decision Tree And Survival Analysis Techniques For Business Failure Prediction, Adrian Gepp
An Evaluation Of Decision Tree And Survival Analysis Techniques For Business Failure Prediction, Adrian Gepp
Adrian Gepp
Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical models attempt to predict the failure or success of a business based on publicly available information about that business (or its industry and the overall economy), such as accounting ratios from …
The Centrality Of Awareness In The Formation Of User Behavioral Intention Toward Preventive Technologies In The Context Of Voluntary Use, Tamara Dinev, Qing Hu
The Centrality Of Awareness In The Formation Of User Behavioral Intention Toward Preventive Technologies In The Context Of Voluntary Use, Tamara Dinev, Qing Hu
Qing Hu
Little is known about user behavior toward what we call preventive computer technologies that have become increasingly important in the networked economy and society to secure data and systems from viruses, unauthorized access, disruptions, spyware, and similar harmful technologies. We present the results of a study of user behavior toward preventive technologies based on the frameworks of theory of planned behavior in the context of anti-spyware technologies. We find that the user awareness of the issues and threats from harmful technologies is a strong predictor of user behavioral intention toward the use of preventive technologies. In the presence of awareness, …
Additivity Of Information Value In Two-Act Linear Loss Decisions With Normal Priors, Jeffrey Keisler
Additivity Of Information Value In Two-Act Linear Loss Decisions With Normal Priors, Jeffrey Keisler
Jeffrey Keisler
For the two-act linear loss decision problem with normal priors, conditions are derived for which the expected value of perfect information about two independent risks is super-additive in value. Several applications show how a variety of decision problems can reduce to the canonical problem, and how the general results obtained here can be translated simply to prescriptions for specific situations.