An Empirical Validation of Perceived Importance and Behavior Intention in IT Ethics

Robin et al. (1996) suggested a new construct when studying ethical behavioral intention which they entitled PIE (perceived importance). They empirically tested the PIE construct and found it to significantly impact both ethical judgment and behavioral intention. The present study extends and validates Robin et al.s work on PIE using a different context, different scenarios and a different sample. The findings indicate strong support for the validity of Robin et al.s PIE instrument and show PIE to significantly influence ethical judgment (attitude) and behavioral intention. This study also indicates the sex of the individual affects the individuals perception of importance and is a significant influence of ethical judgment and behavioral intention. Future ethical models and studies should include PIE as a possible influence on behavioral intention.Timothy Paul Cronan is Professor of Information Systems and M.D. Matthews Lecturer in Business at the University of Arkansas, Fayetteville. Dr. Cronan received his D.B.A. from Louisiana Tech University and is an active member of the Decision Sciences Institute and The Association for Computing Machinery. He has served as Regional Vice President and on the Board of Directors of the Decision Sciences Institute and as President of the Southwest Region of the Institute. In addition, he has served as Associate Editor MIS Quarterly. His research interests include ethics in computing, local area networks, downsizing, expert systems, performance analysis and effectiveness, and end-user computing. His publications have appeared in Decision Sciences, MIS Quarterly, OMEGA The International Journal of Management Science, The Journal of Management Information Systems, Communications of the ACM, Journal of End User Computing, Database, Journal of Research on Computing in Education, Journal of Financial Research, as well as in other journals, and Proceedings of various Conferences. Lori N. K. Leonard is an Assistant Professor of Management Information Systems at the University of Tulsa. Dr. Leonard received her Ph.D. from the University of Arkansas and is an active member of the Decision Sciences Institute. Her research interests include electronic commerce, electronic data interchange, ethics in computing, simulation, and data warehousing. Her publications have appeared in Journal of Computer Information Systems, Information & Management, Journal of the Association for Information Systems, Journal of Organizational Computing and Electronic Commerce, Journal of End User Computing, as well as in other journals, and Proceedings of various Conferences. Jennifer Kreie is Associate Professor in Business Computer Systems at New Mexico State University. Dr. Kreie received the Ph.D. from the University of Arkansas. Her research interests include ethics in computing, end-user computing, systems development, and computer-aided instruction. She is an active member of the Decision Sciences Institute, the Association of Computing Machinery and the Association of Information Technology Professionals. Her publications have appeared in Communications of the ACM, Decision Support Systems, Journal of End User Computing, Journal of Accountancy, and the National Accountant as well as Proceedings of several Conferences.     

Prices for homogeneous cost functions

The problem of allocating the production cost of a finite bundle of infinitely divisible consumption goods by means of prices is a basic problem in economics. This paper extends the recent axiomatic approach in which one considers a class of cost problems and studies the maps from the class of cost problems to prices by means of the properties these prices satisfy. The class of continuously differentiable costs functions used in previous studies is narrowed to the subclass containing non-decreasing, homogeneous of degree one and convex functions. On this subclass it is shown that there exists a unique continuous price mechanism satisfying axioms similar to those assumed in previous studies.     

The signs of the co-state variables and sufficiency conditions in a class of optimal control problems

A class of optimal control problems is identified, for which co-state variables have definite signs and the Maximum Principle is sufficient for optimality. The restrictions defining this class of problems are given an economic interpretation.