Information Systems and Quantitative Sciences

The MIS doctoral program is carefully designed to provide a theoretical basis for advancing the state of knowledge in MIS. This specialization allows students to concentrate on the significance of information systems in a variety of managerial settings.

The ISQS department currently has 14 MIS faculty members.  Research interests 

of the faculty include systems development, strategic uses of information 

technology, electronic commerce, behavioral decision making, database 

modeling, information requirements determination, telecommunications and

network design, adaptive knowledge-based systems, and economic

issues in information technology. 

The MIS doctoral program is designed to permit maximum flexibility for Ph.D.

students to pursue their research interests.  Coursework includes Ph.D. 

seminars, research methods and data analysis courses, supporting field

courses, and, for students without MIS or business backgrounds, foundation

MIS and business courses. 

Research and teaching assistantships are offered to MIS Ph.D. students, and $5000 Rawls Doctoral Fellowships are also available on a competitive basis.

MIS FACULTY

Solomon Antony, Assistant Professor, Ph.D., Florida International University, 1997.  Data management, decision support systems, problem solving.

Ronald Bremer, Associate Professor, Ph.D., Texas A&M, 1987.  Linear statistical models, comparing means in the presence of covariance structures, applied time series and econometric models.

Glenn J. Browne, James C. Wetherbe Professor of Information Technology and Associate Professor, Ph.D., University of Minnesota, 1993.  Cognitive and behavioral issues in information systems development and decision making.

James R. Burkman, Assistant Professor, Ph.D., Indiana, 2002. Implementation and adoption of mandated IS, impact of strategic ambiguity on knowledge management processes, visual information systems.

James R. Burns, Professor, Ph.D., Purdue, 1973.  P.E. Computer science, management science, simulation, POM.

W. J. Conover, Horn Professor, MBA Program Coordinator, Ph.D., Catholic U. of America, 1964.  Nonparametric statistical analysis.

John Durrett, Associate Professor, Ph.D., University of Texas, 1999.  Distributed information systems, electronic commerce.

Brad Ewing, Associate Professor and Jerry S. Rawls Professor of Operations Management, Ph.D. Purdue University, 1994. Operations management, economics, econometrics and statistics.

James Hoffman, Professor and Area Coordinator, Ph.D., Nebraska-Lincoln, 1998.  Operations management, business strategy, health care management.

Donald R. Jones, Associate Professor, Ph.D., University of Texas, 1988. The effect of decision support system features on decision making, how database queries are used to solve business problems, learning in an online environment.

Zhangxi Lin, Assistant Professor, Ph.D., University of Texas, 1999. E-commerce, computer science, network economics.

Karma Sherif, Assistant Professor, Ph.D., Texas A&M, 1998.  Electronic commerce, systems analysis design, programming languages.

Patricia L. Smith, Adjunct Research Professor, Ph.D., Texas A&M University, 1975. Statistics, process improvement, Six Sigma methodology.

Jaeki Song, Assistant Professor, Ph.D., Wisconsin-Milwaukee, 2001. Economics of software engineering, web-based group decision support systems, knowledge management.

Eric Walden, Assistant Professor, Ph.D., Minnesota, 2002. Contracting for IT outsourcing, electronic commerce.

Peter H. Westfall, Horn Professor and the James and Margurite Nivers Professor, Ph.D., California (Davis), 1983. Multiple comparisons, statistical re-sampling, soft-ware development, linear models.

James Wetherbe, Professor and Stevenson Chairperson of Information Technology, Ph.D., Texas Tech, 1976. Computers and information systems to improve organizational performance and competitiveness.

Surya B. Yadav, Professor and holder of the James and Elizabeth Sowell Professorship, Ph.D., Georgia State, 1981.  Expert systems for information systems requirement determination, adaptive knowledge-based systems, software engineering.