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Incorporating solution process monitoring tools into current decision support system architecture

Thomassin Singh, Daniele
http://rave.ohiolink.edu/etdc/view?acc_num=case1057687376

Abstract Details

1994, Doctor of Philosophy, Case Western Reserve University, Management Information and Decision Systems.
The objective of DSS research is to provide computer-based support for managerial decision making. In order to do this, a DSS needs to (a) support a manager's task-related needs by providing information about a specific decision situation and models to assist in structuring the situation, and (b) support a manager's cognitive abilities by providing information about the decision making process and models to assist in structuring the process. Most DSS research to date has focused on task-related support exclusively, revealing an implicit, and mostly unarticulated, assumption that the latter kind of support is either unnecessary, or impossible to provide. Research in decision making and cognitive psychology, however, indicates that such support should significantly benefit the manager's decision making process. This dissertation examines how computer-based tools may support the cognitive abilities decision makers draw upon when using a DSS, and, whether such tools demonstrate the potential to improve the quality of their decision making processes. The study concentrates on providing support for one type of cognitive ability, namely solution process monitoring, or, the ability to monitor the execution of a planned solution strategy. Solution process monitoring support w as built into a DSS designed to support product pricing and budgeting decisions of marketing managers. The study was designed as a 2 (presence vs. absence of strategy complexity support) by 2 (presence vs. absence of information load support) by 2 (simple vs. complex strategy) full-factorial laboratory experiment. Significant findings from the study indicate that, in general, the higher the level of computerized monitoring support, the lesser the time taken to solve the decision task and the fewer the number of unintentional deviations from planned strategy. A process analysis found that computerized solution process monitoring significantly reduced the number of actions performed that were (a) unnecessarily repeated, (b) involuntarily omitted, and (c) unintended. Additionally, the results of a protocol analysis indicated that computerized solution process monitoring support also favorably impacted subjects' ability to recuperate from unintended errors in implementing the solution strategy. While further validation is recommended, these findings strongly suggest that DSS researchers and designers may benefit from the inclusion of decision-maker support in their frameworks.
Michael Ginzberg (Advisor)
380 p.
solution process monitoring tools; current decision; support system architecture

Recommended Citations

Citations

  • Thomassin Singh, D. (1994). Incorporating solution process monitoring tools into current decision support system architecture [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1057687376

    APA Style (7th edition)

  • Thomassin Singh, Daniele. Incorporating solution process monitoring tools into current decision support system architecture. 1994. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1057687376.

    MLA Style (8th edition)

  • Thomassin Singh, Daniele. "Incorporating solution process monitoring tools into current decision support system architecture." Doctoral dissertation, Case Western Reserve University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1057687376

    Chicago Manual of Style (17th edition)

case1057687376
726
© 1994, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.