Developing a New Dynamic Model for Art full Waste Management
Subject Areas : Journal of Cultural Managementمحسن قدمی 1 , میترا آفتاب آذری 2 , مینا قدمی 3
1 - ندارد
2 - مسئول مکاتبات
3 - ندارد
Keywords: Natural Systems Theory, Chaos Theory, Zero Base model, art full
, 
, management, Simulation &, Non Linear model,
Abstract :
Introduction and Research Objectives: The aim of this study is considering moral and intellectual human dimensions as one of the essential components to reach art full development. For this purpose, according to zero based theory induced by natural and living systems cycle, we consider three cycles of production, distribution and usage and then articulate the behavior of variables affecting human development in a non ‐linear and dynamic space and therefore remind system managers and regulators of their roles. Method: This study is a theoretical‐applied research and its methodology, regarding subject and goals, is of cause and effect kind and its implementation is rather nonlinear mathematical modeling. In execution, the research method is a combinational method Results: In dynamic model, the sensitivity of subsidiary and fixed variables were analyzed by considering their cause ‐effect relations and the most sensitive one was identified. Considering the model, one can find that : a) In production process, the most important damages affecting on intellectual human dimensions are weak knowledge management, lack of capacity management, inefficiency of supervising system and distrust (prejudice), lack of pluralism, lack of comprehensive theory on health and weak policymaking; b) In distribution process, the most important damages affecting on intellectual human dimensions are unilateral transfer of information, Censorship, lack of financial support, lack of transparency, lack of capacity management, inefficiency of social security coverage system and offense; c) In usage process, the most important damages affecting on intellectual human dimensions are lack of motivation (no motivation), personal and mental causes and social cynicism. In spite of being distinguishable, behaviors are never similar and it is impossible to exactly specify their details. As behaviors are rather qualitative than quantitative In order to give a primary prediction, it is necessary to use non ‐linear planning and computer simulation to identify qualitative patterns and behavior as a whole.