Examining the Implications of Process and Choice for: Strategic Decision Making Effectiveness
Paul L. Drnevich,
Thomas H. Brush and
Alok Chaturvedi
Additional contact information
Paul L. Drnevich: The University of Alabama, USA
Thomas H. Brush: Purdue University, USA
Alok Chaturvedi: Purdue University, USA
International Journal of Decision Support System Technology (IJDSST), 2010, vol. 2, issue 3, 1-15
Abstract:
Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.
Date: 2010
References: Add references at CitEc
Citations:
Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 018/jdsst.2010070101 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:2:y:2010:i:3:p:1-15
Access Statistics for this article
International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu
More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().