Computer-aided Modelling of Decision-support Systems

Hansen, James V.; Heitger, Lester E.; McKell, Lynn J.

doi:10.1057/jors.1978.167

Cited by 11 publications

(2 citation statements)

References 2 publications

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“…The reachability matrix, R, is calculated through repeated matrix multiplication of J+I, where I is an NxN identity matrix. (Hansen et al, 1978) The maximum multiplications necessary is N, the number of nodes in the map. In practice the matrix multiplication process likely converges well before N multiplications.…”

Section: System Diagnosismentioning

confidence: 99%

System Diagnosis Using Fuzzy Cognitive Maps

Perusich¹

2010

Cognitive Maps

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Section: System Diagnosismentioning

confidence: 99%

System Diagnosis Using Fuzzy Cognitive Maps

Perusich¹

2010

Cognitive Maps

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“…A pressing need to recognize how to understand and manage processes better for receiving, storing, and retrieving information by the actors is critical to keep efficient information flows [61]. Many methodologies such as structured analysis [62,63], thematic analysis [64], functional decomposition [65], episodic communication channels in organizations [66], social network analysis [67], and graph-theoretical technique (GTT) [68,69] to analyze institutional linkages and information flow between organizations, are available in the literature. We used the GTT in our study.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Institutional Linkages and Information Flow within the Agricultural Knowledge and Innovation: Case of Dakahlia Governorate, Egypt

2022

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Institutional linkages and information flow between agricultural organizations play a critical role in addressing sustainability issues and promoting agrarian innovation. The aim of this study was to evaluate institutional relations and information between the various actors within the agricultural knowledge and information system (AKIS). The study focused on eight actors within the AKIS in Dakahlia governorate of Egypt, namely policy, extension, research, agricultural cooperatives, higher education, secondary education, credit, and the private sector. Thus, the survey sample included 11 representatives of each actor with 88 respondents. Data were collected by a standardized questionnaire distributed online. The graph theoretical technique was used for the quantitative assessment of information flow and institutional linkages established among actors. The findings indicated that agricultural extension ranked first about their real cause and effect on the rest of the system, having a value of 7.95. Two critical information pathways within the AKIS sustained innovation outcomes: (1) higher education–extension–agricultural cooperatives, (2) research–extension–agricultural cooperatives. The results also revealed that agricultural cooperatives ranked second after the extension component on the extent of supplying information to other members in the AKIS, with a value of 4.8. In contrast, the highest component received information from other components (7.6). By analyzing institutional linkages and information flow, this article gives insights to policymakers on the mechanisms that still need to be strengthened and the information gaps between actors to address the challenges of sustainable rural development.

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