Decision Support Systems (DSS) Capabilities and Competencies Impact on Firm Performance: A Mediating Role of Absorptive Capacity

Author(s):  
Al-Nakib Noofal Ahmed Mohsen Mohammed ◽  
◽  
Ahmed Abdulatef Mashli Aina ◽  
Author(s):  
Al-Nakib Noofal Ahmed Mohsen Mohammed ◽  
Ahmed Abdulatef Mashli Aina

The study emphasizes the importance of Decision support systems (DSS) for corporate performance. Prior studies have been reviewed to validate theories that explain how Decision support systems (DSS) affect corporate performance. Decision support systems (DSS) provides information that is valuable to take decisions and reflects current economic, and financial state of the company: efficiency, output rates, information on the effect of different events, that relate to the impact that the employees’ decision has on the performance of other departments. Furthermore, greater management information system capability leads to a higher degree of strategic performance. These and many other factors are suggested to be critical features of DSS that have a direct influence on the financial and strategic performance of companies. This paper uses resource based view in order to explain the importance of DSS capabilities and their direct influence on firm performance. In other words, the main idea behind the paper involves the analysis of company performance based on how information system capabilities are used. For this purpose, this paper formulates conceptual framework which explains the link of DSS capabilities to absorptive capacity through the interaction of market access competency, integrated related competency, functionality related competency. Finally, the influence of DSS capabilities is described in terms of their influence on companies market based and operation performance.


2014 ◽  
pp. 241-259 ◽  
Author(s):  
Aleix Serrat-Capdevila ◽  
Juan B. Valdés ◽  
Hoshin V. Gupta ◽  
Graciela Schneier-Madanes

2009 ◽  
pp. 82-89
Author(s):  
John Wang ◽  
James Yao

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based environments that support concerted and coordinated group efforts toward completion of joint tasks (Dennis, George, Jessup, Nunamaker, & Vogel, 1998). The term group support systems (GSSs) was coined at the start of the 1990’s to replace the term GDSS. The reason for this is that the role of collaborative computing was expanded to more than just supporting decision making (Patrick & Garrick, 2006). For the avoidance of any ambiguities, the latter term shall be used in the discussion throughout this paper


Author(s):  
Miroslaw Staron ◽  
Wilhelm Meding ◽  
Kent Niesel ◽  
Ola Söder

Measurement data can be used for decision support in multiple ways – from one-time, manual data collection/presentation (reporting) through flexible business intelligence solutions to online, automated measurement systems. In centralized organizations, the measurement data is often collected through reporting, but the trends in modern organizations with empowered teams, globalized development, and needs to monitor continuously longer supply chains requires shift in the design and use of measurement systems. In this chapter, we present a study of evolving measurement systems at three companies with global businesses – Ericsson, Volvo Cars, and Axis Communications. The results of the study include the identification of the timeline of the evolution, distinct generations of measurement systems and information needs in the different phases of the evolution. The experiences show how to evolve centralized decision support systems to support global and distributed decision support.


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