scholarly journals Promoting sustainable intensification in precision agriculture: review of decision support systems development and strategies

2016 ◽  
Vol 18 (3) ◽  
pp. 309-331 ◽  
Author(s):  
Jessica Lindblom ◽  
Christina Lundström ◽  
Magnus Ljung ◽  
Anders Jonsson
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Precision Agriculture ◽  
Support Systems ◽  
Systems Development ◽  
Sustainable Intensification

An MDA based multi-agent approach for decision support systems development

2014 ◽  
Vol 6 (1) ◽  
pp. 221-231
Author(s):  
Abdelaziz El Fazziki ◽  
Abderrahmane Sadiq ◽  
Mohamed Sadgal
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Systems Development ◽  
Multi Agent

Context in Decision Support Systems Development

2010 ◽  
pp. 93-101 ◽  
Author(s):  
Alexandre Gachet ◽  
Ralph Sprague
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Systems Development ◽  
End User ◽  
The Past ◽  
Control Stage ◽  
Development Processes ◽  
Support Methods ◽  
Design And Construction

Finding appropriate decision support systems (DSS) development processes and methodologies is a topic that has kept researchers in the decision support community busy for the past three decades at least. Inspired by Gibson and Nolan’s curve (Gibson & Nolan 1974; Nolan, 1979), it is fair to contend that the field of DSS development is reaching the end of its expansion (or contagion) stage, which is characterized by the proliferation of processes and methodologies in all areas of decision support. Studies on DSS development conducted during the last 15 years (e.g., Arinze, 1991; Saxena, 1992) have identified more than 30 different approaches to the design and construction of decision support methods and systems (Marakas, 2003). Interestingly enough, none of these approaches predominate and the various DSS development processes usually remain very distinct and project-specific. This situation can be interpreted as a sign that the field of DSS development should soon enter in its formalization (or control) stage. Therefore, we propose a unifying perspective of DSS development based on the notion of context. In this article, we argue that the context of the target DSS (whether organizational, technological, or developmental) is not properly considered in the literature on DSS development. Researchers propose processes (e.g., Courbon, Drageof, & Tomasi, 1979; Stabell 1983), methodologies (e.g., Blanning, 1979; Martin, 1982; Saxena, 1991; Sprague & Carlson, 1982), cycles (e.g., Keen & Scott Morton, 1978; Sage, 1991), guidelines (e.g., for end-user computer), and frameworks, but often fail to explicitly describe the context in which the solution can be applied.

Context in Decision Support Systems Development

2010 ◽  
pp. 1835-1845
Author(s):  
Alexandre Gachet ◽  
Ralph Sprague
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Systems Development ◽  
End User ◽  
The Past ◽  
Control Stage ◽  
Development Processes ◽  
Support Methods ◽  
Design And Construction

Finding appropriate decision support systems (DSS) development processes and methodologies is a topic that has kept researchers in the decision support community busy for the past three decades at least. Inspired by Gibson and Nolan’s curve (Gibson & Nolan 1974; Nolan, 1979), it is fair to contend that the field of DSS development is reaching the end of its expansion (or contagion) stage, which is characterized by the proliferation of processes and methodologies in all areas of decision support. Studies on DSS development conducted during the last 15 years (e.g., Arinze, 1991; Saxena, 1992) have identified more than 30 different approaches to the design and construction of decision support methods and systems (Marakas, 2003). Interestingly enough, none of these approaches predominate and the various DSS development processes usually remain very distinct and project-specific. This situation can be interpreted as a sign that the field of DSS development should soon enter in its formalization (or control) stage. Therefore, we propose a unifying perspective of DSS development based on the notion of context. In this article, we argue that the context of the target DSS (whether organizational, technological, or developmental) is not properly considered in the literature on DSS development. Researchers propose processes (e.g., Courbon, Drageof, & Tomasi, 1979; Stabell 1983), methodologies (e.g., Blanning, 1979; Martin, 1982; Saxena, 1991; Sprague & Carlson, 1982), cycles (e.g., Keen & Scott Morton, 1978; Sage, 1991), guidelines (e.g., for end-user computer), and frameworks, but often fail to explicitly describe the context in which the solution can be applied.

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