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Spears School of Business Directory
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Dr. Meg Kletke Professor 406 Business Building 405-744-5124 (office) 405-744-3551 (department) 405-744-5180 (fax) Jump to a section:Biography:I am a Professor of Management Information Systems in the Department of Management Science and Information Systems. I am also the Coordinator for the M.S. in MIS program. Currently I teach the introductory class in computing for the Spears School of Business, MSIS 2103 (Computer Concepts and Applications for Business). Myresearch interests are in Data Mining, Database Management and Decision Support Systems, and Information Technology.Academic, Military, and Professional PositionsOklahoma State University, Professor, August 1992Oklahoma State University, Associate Professor, August 1985 - July 1992 Oklahoma State University, Assistant Professor, August 1981 - July 1985 Awards and HonorsFaculty Appreciation Award (2009)ConocoPhillips Faculty Sponsorship Grant (2008) Regents' Distinguished Teaching Award (2007) Kenneth and Leitner Greiner Outstanding Graduate Teaching Award (2007) Department of MSIS Faculty Award (2005) William S. Spears School of Business Outstanding Instruction (2005) William S. Spears School of Business Outstanding Instruction (2004) EducationPh D, Oklahoma State University, Agricultural Economics, 1981MS, Iowa State University, Computer Science, 1970 BA, The Colorado College, Mathematics, 1966 Courses TaughtMSIS 2103 - Business Computer Concepts and Applications (Fall 2009) MSIS 2103 - Business Computer Concepts and Applications (Summer 2009) MSIS 2103 - Business Computer Concepts and Applications (Spring 2009) MSIS 2103 - Business Computer Concepts and Applications (Fall 2008) MSIS 2103 - Business Computer Concepts and Applications (Summer 2008) MSIS 2103 - Business Computer Concepts and Applications (Spring 2008) MSIS 2103 - Business Computer Concepts and Applications (Fall 2007) MSIS 5643 - Advanced Database Management (Summer 2007) MSIS 5643 - Advanced Database Management (Spring 2007) MSIS 5543 - Advanced File and Data Management for Business (Fall 2006) MSIS 5643 - Advanced Database Management (Summer 2006) MSIS 5643 - Advanced Database Management (Spring 2006) MSIS 5643 - ADV DATABASE MGMT (Fall 2005) PublicationsK Molnar, Meg Kletke, Jongsawas Chongwatpol, 2008, "Ethics vs. IT Ethics: Do Undergraduate Students Perceive a Difference?," Journal of Business Ethics, 83 (4), 657-671.K Molnar, Meg Kletke, R Rampal, 2008, "A Pilot Study of Factors that Influence Undergraduate Student’s Opinions of IT Ethics," Decision Sciences Institute 2008 K Molnar, Meg Kletke, Jongsawas Chongwatpol, 2008, "Ethics vs. IT Ethics: Do Undergraduate Students Perceive a Difference?," Springer, on-line, 1-15. Charles Mccann, Marilyn Kletke, 2006, "Using Data Mining to Facilitate More Efficient Resource Allocation and Training for IT Support in Large Organizations," AMCIS 2006 Dursun Delen, Meg Kletke, J. H. Lim, 2005, "A Scalable Classification Algorithm for Very Large Datasets," Journal of Information and Knowledge Management, 4 (2), 83-94. Meg Kletke, Dursun Delen, 2005, "Quality in Very Large, Multiple-Source, Secondary Datasets for Data Mining Applications," Proceedings of the America’s Conference on Information Systems, 1512-1516. Marilyn Kletke, 2005, "SAP Business Intelligence Warehouse Labs," SAP copyright Kathy Molnar, Marilyn Kletke, Rohit Rampal, 2005, "E-Ethics: A Study of Undergraduate Student's Opinions of Intellectual Property in the Information Age," The Decision Sciences Institute, November (2005) Marilyn Kletke, Dursun Delen, 2005, "Data Quality in Very Large, Multiple-Source, Secondary Datasets for Data Mining Applications," AMCSIS 2005 Dursun Delen, Marilyn Kletke, Jin-hwa Kim, 2005, "A Scalable Classification Algorithm for Very Large Datasets," Journal of Information and Knowledge Management, 4 (2), 83-94. Meg Kletke, Dursun Delen, Jin-hwa Kim, 2004, "An Approach to Improve Classification Accuracy in Very Large Datasets," Proceedings of the America’s Conference on Information Systems Presentations GivenUsing Data Mining to Facilitate More Efficient Resource Allocation and Training for IT Support E-Ethics: A Study of Undergraduate Student’s Opinions of Intellectual Property in the Information Age Quality in Very Large, Multiple-Source, Secondary Datasets for Data Mining Applications An Approach to Improve Classification Accuracy in Very Large Datasets |
