• No results found

Brandenberger and Nalebuff (1996) suggest that universities should think more like for-profit businesses in the Value Net context. The “privatization wave” implies that governments should as well. This implies that a “business case” must be made in the non-profit sectors for all investment options, including IT. Oberlin (1994, 1996a, 1996b) outlined the format for universities, and there is a growing movement for governments to evaluate IT with respect to expected returns to the money spent (City of Philadelphia, 2001).

Applying cost-benefit analysis can be a sobering process. “Geeks and gizmos” get put into a “Do we really need them?” light. As Norman (1993) points out, they often cannot make it past this type of scrutiny when resources are tight. What can come to their rescue are alliances with the “technology wave” Complementor companies (e.g., the IBM Laptop University) and Complementor governments (e.g., accelerated tax write-offs) in the Value Net. These help “seed” the future with the techno-transformation of the present. Economists warn, however, that at any point in time, the subsidization of goods and services can generate deadweight losses. Future gains, at an appropriate discount rate, must exceed those losses for efficiency to be achieved over time.

The true answer to “Can a Viable Distance Education Program Stay Behind the Technology ‘Wave’?” must entail detailed cost-benefit analyses of actual programs. These analyses should critically evaluate the goals of the programs (Kaufman, Watkins, & Guerra, 2001), the internal means of achieving these goals, and the relationships to external Value Net components, especially Customers. The roles of IT and IS in each dimension should provide fertile ground for research, as will estimation of the benefits of space-time flexibility.

The single-course and single-program perspectives used above need to be generalized into a generic program-evaluation template. The road to future Distance Education (Collis & Gommer, 2001a, 2001b) should be paved with

reason. Staying slightly behind the wave may be the best policy for programs

viable in the above sense to also generate positive net benefits. Only time and careful evaluation will tell.

References

Becker, W.E. & Walstad, W.B. (1987). Econometric modeling in eco-

nomic education research. Boston, MA: Kluwer-Nijhoff Publishing.

Brandenberger, A.M. & Nalebuff, B.J. (1996). Co-opetition. New York: Doubleday.

Choi, S.Y., Stahl, D.O., & Whinston, A.B. (1997). The economics of

electronic commerce. Indianapolis, IN: Macmillan Technical Publishing.

Collis, B. & Gommer, L. (2001a). Stretching the mold or a new economy? Part I: Scenarios for the university in 2005. Educational Technology, XLI, (May-June), 5-18.

Collis, B. & Gommer, L. (2001b). Stretching the mold or a new economy? Part II: Realizing the scenarios for the university in 2005. Educational

Technology, XLI, (July-August), 5-14.

DiBiase, D. (2000). Is distance teaching more work or less work? American

Journal of Distance Education, 14, 6-20.

Griffiths, J.M. & McCord, A. (2001). The art and science of infrastructure. In Goodman, P.S. (Ed.), Technology Enhanced Learning. Mahwah, NJ: Lawrence Erlbaum Associates.

Haksever, C. & Muragishi, Y. (1998). Measuring value in MBA programmes.

Education Economics, 6, 11-25.

Hamlen, Jr., W. & Southwick, L. (1989). Quality in the MBA program: Inputs, outputs or value added? Journal of Economic and Social Measure-

ment, 15, 1-25.

function model in education. Education Policy Analysis Archives, 1. Retrieved from http://olam.ed.asu.edu/epaa/v1n12.html.

Intriligator, M.D. (1978). Econometric models, techniques, and applica-

tions. Englewood Cliffs, NJ: Prentice-Hall.

Kaufman, R., Watkins, R., & Guerra, I. (2001). The future of distance learning: Defining and sustaining useful results. Educational Technology, XLI (May-June), 19-26.

Markoff, J. (1999). Chip progress may soon be hitting barrier. New York

Times. Retrieved on October 9, 2002 from http://www.nytimes.com/

library/tech/99/10/biztech/articles/09chip.html.

Monk, D.H. (1992). Education productivity research: An update and assess- ment of its role in education finance reform. Educational Evaluation and

Policy Analysis, 14, 307-32.

Monk, D.H. (1993). A reply to Mr. Hodas. Education Policy Analysis

Archives, 1. Retrieved from http://olam.ed.asu.edu/epaa/v1n15.html.

National Educational Association. (2000). A survey of traditional and

distance learning higher education members. Retrieved on July 8,

2002 from http://www.nea.org/he/abouthe/dlstudy.pdf.

Norman, D.A. (1993). Things that make us smart. Reading, MA: Addison- Wesley.

Oberlin, J.L. (1994). Departmental budgeting for information technology: A life-cycle approach. CAUSE/EFFECT, (Summer), 37-46.

Oberlin, J.L. (1996a). The financial mythology of information technology: The new economics. CAUSE/EFFECT, (Spring), 19-35.

Oberlin, J.L. (1996b). The financial mythology of information technology: Developing a new game plan. CAUSE/EFFECT, (Summer), 10-17. Okpala, A.O., Okpala, C.O., & Ellis, R. (2000). Academic efforts and study

habits among students in a principles of macroeconomics course. Journal

of Education for Business, 75, 219-24.

Philadelphia, City of (2001). Information technology project business case and project evaluation process. Department of Water Resources, Unpub- lished (July).

Rumble, G. (1997). The costs and economics of open and distance learn-

Schiller, B. (2000). Essentials of economics (4th ed.) New York: McGraw- Hill.

Simon, H. (2001). Cooperation between educational technology and learning theory to advance higher education. In Goodman, P.S. (Ed.), Technol-

ogy Enhanced Learning. Mahwah, NJ: Lawrence Erlbaum Associates.

Sorrentino, J.A. (1997). Going virtual: What to bring along from the F-2-F classroom and LAN computer lab? In Morrison, J.M. (Ed.), Technology

Tools for Today’s Campuses, a CD-ROM. Retrieved on October 9,

2002 from http://horizon.unc.edu/projects/monograph/CD/.

Visser, J.A. (2000). Faculty work in developing and teaching web-based distance courses: A case study of time and effort. American Journal of

Distance Education, 14, 21-32.

Watson. G. (2000). Silicon, circuits, and the digital revolution SCEN103. October 9, 2002 from the University of Delaware, Department of Physics and Astronomy website: http://www.physics.udel.edu/wwwusers/watson/ scen103/intel.html.

Appendix A