decisions

Journal of Technology Research

The Hypothesis Testing of Decision Making Styles in the
Decision Making Process
Nabie Conteh
Shenandoah University
Abstract:
The objective of this study is to test the effectiveness of various decision making styles in the decision-making process. Four broad categories of decision making styles are utilized in this simulation study. The methodology is illustrated with a complex, semistructured problem often used to train and evaluate management personnel. In order to test the efficacies of these styles, two prototype systems will be constructed. The
Decision Support Systems architecture serves as a control and the Just-in-time intelligent
Decision Support Systems as the experimental architecture. The experiment will test whether the use of either of the two systems offers a significant improvement in the process of and outcome from the four decision-making styles. The paper closes with a conclusion on the results of the experiment and their implications on Information
Systems Research in relation to the decision making process.
Keywords: Decision Making, Decision Making styles, Decision-making Process,
Simulation, simulation modeling

The Hypothesis Testing, Page 1

Journal of Technology Research
Introduction
The decision making process is directly linked with the need for problem solving and or decision making. The right choices we make in solving problems and making decisions depends on how correctly we follow the steps through in the decision making process. This paper addresses the effectiveness of the process and outcomes of decisionmaking styles, in the decision-making process, puts forward a methodology for determining their effectiveness.
The merits of Non-subject Designs
The non-subject design approach assumes that human subjects will not be used in gathering data for the simulation study and in evaluating information system architectures. Using human subjects can present some serious

References: University, United Kingdom, pp. 101 – 0106. September 3 – 5, 2003a. November 22 – 25, 2003b. Sciences Institute, Boston, November 22 – 25, 2004a. Forgionne, G.A (1999) An AHP model of DSS effectiveness European Journal of Information Systems, Palgrave Macmillan Ltd Houndmills, Basingstoke, Gordon, L.A., et al.(1975). Normative Models in Management Decision Making. New York: National Association of Accounting. Hunsakers, Philip L. and Hunsaker, Johanna S. Decision styles – in theory, in practice Organizational Dynamics, Vol 10 (Autumn 1981), pp McLeod, R. P. Academic Information Systems (AIS) Software Package II, 1986. Available from R. P. McLeod, 1106 Glade, College Station, TX 77840, [phone]. Mintzberg, H. (1973). The nature of Managerial Work. Englewood Cliffs, NJ: Prentice Hall. O’Kane, J.F. Spenceley, J. and Taylor, R. (1999), Simulation as an enabler for organizational excellence CT: Greenwood/Quorum Books, 2002. Turban, E., and Aronson, J.E., (1998) Decision Support Systems and Intelligent Systems, Prentice Hall, Upper Saddle River, NJ Turban, E. Decision Support and Expert Systems: Management Support Systems, Macmillan Publishing Company, 1993.