Ole Miss Business | University of Mississippi
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About Us


Bachelor of Business Administration (B.B.A.) in MIS

Through innovative educational programs, the MIS Department produces highly skilled MIS professionals who can design and advance the key information technology systems that significantly accelerate and improve operational, managerial, and strategic decisions. Graduates enable modern businesses to compete in a rapidly changing and fiercely competitive global environment.

MIS courses dealing with programming, systems engineering, databases, intelligent systems, and networked applications provide our students with leading-edge skills that are demanded in today's job market. Functional business courses in accountancy, economics, statistics, finance, business law, and operations management provide the additional know-how needed to understand and identify the appropriate applications of information technology to solve critical business problems.

Dr. Milam Aiken and the University of Mississippi have been ranked #1 in Group Support System research productivity. In addition, Dr. Aiken has been ranked in the top 30 and the University of Mississippi has been ranked in the top 54 in MIS research productivity.


STRENGTHS OF THE MIS PROGRAM:

  • Many faculty are active in leadership roles with national and international scholarly journals.
  • All courses are taught in a state-of-the-art building complex with wireless internet connectivity.
  • The MIS major provides hands-on experience in all aspects of MIS, giving graduates of the program a significant advantage in the job market.

The department's research over the last five years has been published in the following highly respected academic journals:

 

James, T. L., Cook, D. F., Conlon, S., Keeling, K. B., Collignon, S., James et al. (2015).  A framework to explore innovation at SAP through bibliometric analysis of patent applications.  Expert Systems with Applications, 42 (24), 13.

 

Kim, D. & Ammeter, A. P. (2014).  Predicting Personal Information System Adoption with an Integrated Diffusion Model.  Information & Management, 51 (4), 451-464.  

 

Garner, B. & Aiken, M. (2016).  An Analysis of Comment-Revision Thresholds in Bilingual Electronic Meetings.  International Journal of Computers and Technology, 15 (10), 7175-7181.

Aiken, M., Posey, J. H., Garner, B., & Reithel, B. (2015).  Predicting Machine Translation Comprehension with a Neural Network.  International Journal of Computers and Technology, 15 (2), 6546-6554.

Posey, J. & Aiken, M. (2015).  Large-scale, Distributed, Multilingual, Electronic Meetings: A Pilot Study of Usability and Comprehension.  International Journal of Computers and Technology, 14 (3), 5578-5585.

Aiken, M., Posey, J. H., Garner, B., & Reithel, B. (2015).  Predicting Machine Translation Comprehension with a Neural Network.  International Journal of Computers and Technology, 15 (2), 6546-6554.

 

Aiken, M. & Garner, B. (2017).  Automatic Detection of Irrelevant Comments in an Electronic Meeting.  International Journal of Management and Information Technology, 12 (1), 3123-3127.

Aiken, M., Posey, J., & Reithel, B. (2015).  Comment Evaluation and Revision in a Bilingual Electronic Meeting.  International Journal of Management and Information Technology, 10 (7), 2311-2317.

Aiken, M., Posey, J. H., & Reithel, B. (2015).  Comment evaluation and revision in a bilingual electronic meeting.  International Journal of Management and Information Technology, 10 (7), 2311-2317.

 

Aiken, M., Wang, J., Gu, L., & Vanjani, M. (2015).  Usefulness and Usability of Mobile Devices in Chinese-English Electronic Meetings.  Issues in Information Systems, 16 (2), 217-225.

 

Shilpa, B. & Conlon, S. (in press, 2016).  Text Analysis of Green Supply Chain Practices In Health Care.  Journal of Computer Information Systems.

Conlon, S., Abrahams, A., & Simmons, L. (2014).  Terrorism Information Extraction from Online Reports.  Journal of Computer Information Systems, 55 (3), 20-28.

 

Popoola, I., Garner, B., Ammeter, A., Krey, N., Ammeter, D. B., Stuart Schafer (2017).  How does ethics institutionalization reduce academic cheating?  Journal of Education for Business.

 

Kim, D. & Ammeter, A. P. (in press, 2018).  Shifts in Online Consumer Behavior: A Preliminary Investigation of the Net Generation.  Journal of Theoretical and Applied Electronic Commerce Research.

 

Vanjani, M., Aiken, M., & Park, M. (2015).  A Study of Factors Influencing Machine Translation Comprehension.  Quarterly Review of Business Disciplines, 2 (2), 121-132.