Priority Setting In Agriculture Program And Projects Research By Analytic Hierarchy Process (AHP)
2007
Mortazavi, M., Assistant Professor, Ministry of Jahad Agriculture, | Zarei, A., Ph.D Student, Tarbiat Modarres University. | Ranaei, H., Management Ph.D Student, Allameh Tabatabaei University.
Agricultural research system in its goal pursues on-time, real and transparent responsibility to the problems and expectations of the research stakeholders and users. In this area it cannot completely respond to problems and expectations because of many constraints such as time, cost, facilities and so on. Thus managers and authorities always face to the necessity to optimize the responsibility of that system as a challenge. In this paper Analytical hierarchical process (AHP) as a well known multi criteria decision making method that combines qualified and quantified criterions was implemented in the research institute for the modification and provision of sugar beet seed. therefore we examined the priority setting literature and methods in the agricultural research, so identified some decision making criteria. We then draw the decision making tree and extracting the research programs priorities for this institute. Required data was gathered through pairwise comparison questionnaires filled by the experts and researchers. Finally we used Expert Choice software to analysis and determine the priorities. Based on results criteria of stability development, scientific development, research possibility and economic development with respective weight 0.374, 0.304, 0.194, and 0.159 are the most important criteria for the institute. Besides protect genetic resource, protect baseline resource, achieve to knowledge and technology, and reach to new products and services with respective weight 0.14, 0.136, 0.131, and .113 are the most important criteria in this study.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Agricultural Research and Education Organization
Découvrez la collection de ce fournisseur de données dans AGRIS