Research in Higher Education

, Volume 24, Issue 1, pp 15–34 | Cite as

Designing a decision-support system for enrollment management

  • Robert H. Glover
AIR Forum Issue


Over the next two decades, effective enrollment management is going to be critical to the future of tuition/enrollment-dependent colleges and universities, especially in states where the number of high-school graduates is expected to decline by 30–40% (WICHE, 1984). This paper outlines the conceptual framework, design, and implementation plan for building a decision-support system (DSS) for enrollment management at the college level in a private, comprehensive university. It begins with a brief overview of the DSS as a concept, the computer-hardware environment, and the fourth-generation software tools used to implement the system (Briggs, 1982; Goetz, 1982; Moore and Greenwood, 1984). Research designs and application-development strategies are reviewed to illustrate the potential of the DSS approach to enrollment management.


Conceptual Framework Research Design Software Tool Education Research College Level 
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  1. Baldridge, J. V. (1982).The Enrollment Crisis: Factors, Actors, and Impacts. AAHE-ERIC, Report #3, 1982; Washington, DC: AAHA.Google Scholar
  2. Beal, P. E., and Noel, L. (1980).What Works in Student Retention. Denver, CO: American College Testing Program, Iowa and National Center for Higher Education Management Systems.Google Scholar
  3. Bean, J. P. (1981). The synthesis of a theoretical model of student attrition. Paper presented at American Educational Research Association, Los Angeles.Google Scholar
  4. Briggs, W. G. (1982). Decision support systems: An evaluation of DSS packages.Computerworld, March 1, pp. 31–35.Google Scholar
  5. College Entrance Examination Board.The College Cost Book. New York.Google Scholar
  6. College Entrance Examination Board.The College Handbook. New York.Google Scholar
  7. Ewell, P. T. (1984).Conducting Student Retention Studies. Boulder, Colo.: NCHEMS. New York: The College Board.Google Scholar
  8. Finkelstein, M., and Farrar, I. (1983). The adaptation of four year colleges to current fiscal and enrollment pressures: an exploration of critical event cycles at seventeen campuses. Ashe Annual Meeting paper.Google Scholar
  9. Hilton, T. L. (1982).Persistence in Higher Education: College Board Report No. 82–5. New York: College Entrance Examination Board; Priceton, NJ: Educational Testing Service.Google Scholar
  10. Hossler, D. (1984).Enrollment Management: An Integrated Approach. New York: College Entrance Examination Board.Google Scholar
  11. Keen, P. (1982) Decision support systems lessons for the 80's.Educom 17 (Fall): 17–21.Google Scholar
  12. Kemerer, F. R., Baldridge, V. J., and Green, K. C. (1982).Strategies for Enrollment Management. Washington, DC: American Association of State Colleges and Universities.Google Scholar
  13. Lay, R. (1982). Assessing market potential in the inquiry pool. Denver, CO: AIR Forum Paper 1982 (ED 220055).Google Scholar
  14. Lay, R., and Maguire, J. J. (1978). Summary of competition in higher education: Boston College research findings. Fifth Annual Meeting of the Northeast Association for Institutional Research, University Park, PA (ED 174163).Google Scholar
  15. Lay, R., and Maguire, J. J. (1983). “Computer aided segmentation analysis: new software for College Admissions Marketing.Journal of College Admissions, No. 101 (Fall), pp. 32–36.Google Scholar
  16. Lenning, O. T., et al. (1980).Student Retention Strategies, AAHE-ERIC Higher Education Research Report No.8. American Association for Higher Education, Washington, D.C.Google Scholar
  17. Litten, L. H. (1983).Applying Market Research in College Admissions. New York: College Entrance Examination Board.Google Scholar
  18. Lolli, A., and Scannell, J. (1983). Expanding the focus of admissions marketing utility.College and University 5–28.Google Scholar
  19. McLain, D., Vance, B., and Wood, E. (1984). Understanding and predicting yield in the MBA admissions process.Research in Higher Education 20(1): 55–76.Google Scholar
  20. Moore, L. M., and Greenwood, A. G. (1984). Decision support systems for academic administration. AIR Professional File #18, Summer, 1984.Google Scholar
  21. The National Beta Club.The College Facts Chart. Prepared annually by The National Beta Club, Spartanburg, SC.Google Scholar
  22. Pace, C. R. (1979).Measuring Outcomes of College; Fifty Years of Findings and Recommendations for the Future. San Francisco: Jossey-Boss.Google Scholar
  23. Pantages, J., and Creedon, F. (1978). Studies of College Attrition, 1950–1975.Review of Educational Research, Winter: 49–101.Google Scholar
  24. Pascarella, E. T. (1982).Studying Student Attrition New Directions for Institutional Research, #36, San Francisco: Jossey-Bass.Google Scholar
  25. Ramist, L. (1981).College Student Attrition and Retention College Board Report #81–1. New York: College Entrance Examination Board.Google Scholar
  26. Rowse, G., and Wing, P. (1982). Assessing competitive structures in higher education.Journal of Higher Education, Nov.–Dec.: 656–683.Google Scholar
  27. Terenzini, P. T. and Pascarella, E. T. (1977). Voluntary freshman attrition and patterns of social and academic integration in a university: A test of a conceptual model.Research in Higher Education 9: 347–66.Google Scholar
  28. Tinto, J. V. (1982). Dropout from higher education: “A Theoretical Synthesis of Recent Research.”Journal of Educational Research 45: 80–125.Google Scholar
  29. WICHE. (1984).High School Graduates: Projections for the Fifty States. Boulder, CO: Western Interstate Commission for Higher Education.Google Scholar

Copyright information

© Agathon Press, Inc. 1986

Authors and Affiliations

  • Robert H. Glover
    • 1
  1. 1.Office of Planning and Institutional ResearchThe University of HartfordUSA

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