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A multiple criteria decision model for information system project selection. (English) Zbl 0838.90073
Summary: It has been widely recognized that the selection of information system (IS) is a critical part of IS planning. Multiple factors that impact the decision to select an appropriate set of IS projects include project risk, corporate goals, benefits, the availability of scarce IS resources and the interdependencies that exist among candidate IS projects. Existing methods for IS project selection do not include all these criteria in one decision model. In this paper, project selection models in other disciplines, such as R&D, capital budgeting etc., are synthesized to develop an IS project selection model that explicitly incorporates all of these factors. Importantly, the proposed model provides a method to take advantage of hardware and software sharing among IS applications. The decision model is formulated as a nonlinear 0-1 goal programming model and represents an improvement over currently available project selection models. The model is validated by applying it to real-world IS project selection data.

MSC:
90B50 Management decision making, including multiple objectives
90C90 Applications of mathematical programming
90C09 Boolean programming
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[1] Ginzberg, M.J., Improving MIS project selection, Omega, 7, 527-537, (1979)
[2] McFarlan, F.W., Portfolio approach to information systems, Harvard business rev., 59, 142-150, (1981)
[3] McKeen, J.D.; Guimaraes, T., Selecting MIS project by steering committee, Commun. ACM, 28, 1344-1352, (1985)
[4] Muralidhar, K.; Santhanam, R.; Wilson, R.L., Using the analytic hierarchy process for information system project selection, Information mgmt, 18, 87-95, (1990)
[5] Brancheau, J.; Wetherbe, J.C., Key issues in information systems management, Mis q., 11, 23-26, (1987)
[6] Dos Santos, B.L., Information systems: similarities and differences across organizations, Omega, 17, 1, 9-20, (1989)
[7] Schniederjans, M.J.; Santhanam, R., A multi-objective constrained resource information system project selection problem, Eur. J. opl res., 70, 244-253, (1993) · Zbl 0800.90650
[8] Dos Santos, B.L., Selecting information systems projects: problems, solutions and challenges, (), 131-140
[9] Santhanam, R.; Muralidhar, K.; Schniederjans, M., A zero-one goal programming approach for information system project selection, Omega, 17, 583-593, (1989)
[10] Boehm, B.W., Improving software productivity, IEEE computer, 20, 43-57, (1987)
[11] Joyce, E., Reusable software: passage to productivity?, Datamation, 97-102, (September 1988)
[12] Apte, U.; Sankar, C.S.; Thakur, M.; Turner, J.E., Reusability-based strategy for development of information systems: implementation experience of a bank, Mis q., 14, 421-433, (1990)
[13] Karimi, J., An asset-based systems development approach to software reusability, Mis q., 14, 179-198, (1990)
[14] Ignizio, J.P., Goal programming and extensions, (1976), D.C. Heath & Co Lexington, MA · Zbl 1052.90584
[15] Lee, S.M., Goal programming for decision-making, (1972), Auerbach Philadelphia, PA
[16] King, J.L.; Schrem, E.L., Cost-benefit analysis in information systems development and operation, Computing surveys, 10, 19-34, (1978)
[17] Aaker, D.A.; Tyebjee, T.T., A model for the selection of interdependent R & D projects, IEEE trans. engng mgmt, EM-25, 30-36, (1978)
[18] Baker, N.; Freeland, J., Recent advances in R & D benefit measurement and project selection methods, Mgmt sci., 21, 1164-1175, (1975)
[19] Fox, G.E.; Baker, N.R.; Bryant, J.L., Economic models for R and D project selection in the presence of project interactions, Mgmt sci., 30, 890-902, (1984)
[20] Gear, T.E.; Cowie, G.C., A note on modeling project interdependence in research and development, Decision sci., 11, 738-748, (1980)
[21] Weber, R.; Werners, B.; Zimmerman, H.-J., Planning models for research and development, Eur. J. opl res., 48, 175-188, (1990)
[22] Weingartner, H.M., Mathematical programming and the analysis of capital budgeting problems, (1963), Prentice-Hall Englewood Cliffs, N.J
[23] Weingartner, H.M., Capital budgeting of interrelated projects: survey and synthesis, Mgmt sci., 12, 485-516, (1966)
[24] Reiter, S.; Rice, D.B., Discrete optimizing solution procedures for linear and nonlinear integer programming problems, Mgmt sci., 12, 829-850, (1966)
[25] Benjamin, C.O., A linear goal-programming model for public-sector project selection, J. opl res. sci., 36, 13-23, (1985)
[26] Keown, A.J.; Taylor, B.W.; Dundan, C.P., Allocation of research and development funds: a zero-one goal programming approach, Omega, 7, 345-351, (1979)
[27] Taylor, B.W.; Moore, L.J.; Clayton, E.R., R & D project selection and manpower allocation with integer nonlinear goal programming, Mgmt sci., 28, 1149-1158, (1982)
[28] Jain, H.K.; Tanniru, M.R.; Fazlollahi, B., MCDM approach for generating and evaluating alternatives in requirements analysis, Information systems res., 2, 223-239, (1991)
[29] King, W.R., Strategic planning for MIS, Mis q., 2, 27-37, (1978)
[30] Dantzig, G.B., On integer and partial integer linear programming problems, () · Zbl 0108.33103
[31] Watters, L.J., Reduction of integer polynomial programming problems to zero-one linear programming problems, Ops res., 15, 1171-1174, (1967)
[32] Arthur Andersen & Co., METHOD/1, ESTIMATE/1, TRACK/1, CHANGE/1: automated aids for project estimation, (1985)
[33] Fahrni, P.; Spatig, M., An application-oriented guide to R & D project selection and evaluation methods, R & D mgmt, 20, 155-171, (1990)
[34] Eom, B.H.; Lee, S.M., A survey of decision support system applications (1971-april 1988), Interfaces, 20, 65-79, (1990)
[35] Murphy, F.H.; Stohr, E.A.; Asthana, A., Representation schemes for linear programming models, Mgmt sci., 38, 964-991, (1992) · Zbl 0825.90690
[36] Binbasiouglu, M.; Jarke, M., Domain specific DSS tools for knowledge based model building, Decision support systems, 2, 213-223, (1986)
[37] Santhanam, R.; Schniederjans, M.J., A model formulation system for information system project selection, Computers ops res., 20, 755-767, (1993)
[38] Kemerer, C.F., An empirical validation of software cost estimation models, Commun. ACM, 30, 416-442, (1987)
[39] Bacon, C.J., The use of decision criteria in selecting information systems/technology investments, Mis q., 16, 335-353, (1992)
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