The aim of this study was to design a qualitative model of the role of imam Khamenei for development of sciences & benefit knowledge production. The statistical sample in the qualitative section included all essays of imam Khamenei in the field of development of sciences & benefit knowledge production. The research instrument consisted of researcher-made coding sheets whose validity was confirmed by Delphi group members and its reliability was calculated by P-Scott criterion of 0.95. Findings showed that the factors related to the model of the role of imam Khamenei for development of sciences & benefit Knowledge production were identified in the form of 5 categories and 40 concept codes. Provital conditions, Strategies (3 categories), contextual conditions (2 categories), intervening or mediating conditions (3 categories) and consequences (2 categories). In general, it can be concluded that using the findings of the study, it is possible to formulate comprehensive and diverse programs of development of sciences & benefit knowledge production in Iran in "macro", "medium" and "operational" strategies to develop of sciences & benefit Knowledge production.
hashemi,S. M. (2023). Design a qualitative model of the role of imam Khamenei for development of sciences & benefit knowledge production. Transformations in Human Science, 2(3), 53-72.
MLA
hashemi,S. M. . "Design a qualitative model of the role of imam Khamenei for development of sciences & benefit knowledge production", Transformations in Human Science, 2, 3, 2023, 53-72.
HARVARD
hashemi S. M. (2023). 'Design a qualitative model of the role of imam Khamenei for development of sciences & benefit knowledge production', Transformations in Human Science, 2(3), pp. 53-72.
CHICAGO
S. M. hashemi, "Design a qualitative model of the role of imam Khamenei for development of sciences & benefit knowledge production," Transformations in Human Science, 2 3 (2023): 53-72,
VANCOUVER
hashemi S. M. Design a qualitative model of the role of imam Khamenei for development of sciences & benefit knowledge production. Transformations in Human Science, 2023; 2(3): 53-72.
