scholarly journals Building consensus in strategic decision making: System dynamics as a group support system

1995 ◽  
Vol 4 (4) ◽  
pp. 335-355 ◽  
Author(s):  
Jac A. M. Vennix
Author(s):  
Jose Rascão ◽  

This article investigates the main concepts and activities of information,while it is in the strategic decision-making system, treated by literature. Since information has become the source of value of the global economy for organizations, information plays a key role in contributingto the development oforganizations' performance by selecting business-relevant information. The relationship between strategic information management and business activities contributes to the strategic decision-making processfor a more effective and efficient decision-making process. Understanding the importance of information as a strategic resource in the management of organizations is becoming more important for strategists, than the formulation ofstrategic models,of industrial society. In the 21st century no Manager will be able to define and implement the strategy successfully, without a basic understanding of information for strategic decision making.


2011 ◽  
pp. 168-191 ◽  
Author(s):  
Sajjad Zahir ◽  
Brian Dobing

A detailed model for designing a Web-based Multi-Criteria Group Support System (MCGSS) is presented. The model is based on the Analytic Hierarchy Process (AHP) and uses the intensity of preferences of group members rather than simple voting procedures. This approach offers several advantages over simple voting mechanisms, including a much richer picture of both individual and group positions and more equitable decision-making. A prototype system, with a user-friendly graphical user interface (GUI), has been developed and used to analyze an experimental group decision process over the Internet. This permits a wider range of users, including those with limited typing skills, asynchronous communication across many time zones, and a larger number of participants than conventional systems. An agenda for further research is outlined.


2015 ◽  
Vol 18 (3) ◽  
pp. 417
Author(s):  
Intiyas Utami ◽  
Sutarto Wijono

Comprehensive assessment potentially leads to halo effect that will affect accuracy of auditors decision-making process. Biased initial audit decision will potentially influence final audit decision. It is there-fore necessary to mitigate halo effect that is the consequence of auditors good impression on clients initial condition. This re-search aims to empirically show that halo effect can be mitigated by explanatory feedback and Group Support System (GSS). The researchers experimentally mani-pulate explanatory feedback and GSS using online web-site. The subjects are stu-dents who have already taken auditing courses. The results show that: 1) explanato-ry feedback can mitigate halo effect so that audit decision will be more accurate 2) GSS can also mitigate halo effect 3) explanatory feedback and GSS are the best me-thods to mitigate halo effect.


2008 ◽  
pp. 2688-2696
Author(s):  
Edilberto Casado

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).


Author(s):  
Edilberto Casado

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).


Author(s):  
Markus Mickein ◽  
Matthes Koch ◽  
Knut Haase

This article presents a decision support system (DSS) for multilevel production planning implemented at a Swiss brewery. The DSS supports supply chain executives in tactical and strategic decision making. The system consists of a user interface and visualization tool embedded in a cloud-based optimization framework.


Sign in / Sign up

Export Citation Format

Share Document