Intelligent Applications in The Development of Sustainable Leadership in Statutory Organizations

The article focuses on the establishment of an infrastructure for sustainable leadership development needed for the statutory organizations. It expends a perception of traditional leadership development. Sustainable leadership development is not only about delivering a programme, making people go through a developmental experience. The development of sustainable leadership is some type of ad hoc that solves specific task and isn't generalizable. Therefore, the development process of sustainable leadership needs to be implemented in a systemic way, as development occurs over time and a single training event and pure study curriculum is not enough. This paper proposes sustainable leadership development system (SLDS) guidance for military officers'. This proposal is based on best current practice in e-learning and involves intelligent applications for shared decision making in inter-organizational learning. Proposed SLDS employs computer-facilitated collaborative learning; which supports social interaction in intelligent collaborative learning system and sustains institutional work within a variety of decision-making frameworks. From a technical perspective, we suggest that it is advisable to place a workflow engine at the core of the interne based e-decision making system. This will let to generate and manage personalized and adaptable individual recommendation assesses flows in organizational learning; during the processes of an individual recommendation culling grants the user access to subsequent databases of related resources and services. From a technical perspective the structure of SLDS could be kept comparatively simple and self-controlled in process of logic analysis. The functions and subsystems reside on a networked multilevel infrastructure with strong internet connectivity and a number of databases.. The internet portal systems could be used to provide different types of users by user's type specific and customized services. The databases are designed to collect and analyze data about a number of processes and entities: the tasks & scenarios database; peer review; learning database; computer supported collaborative learning (CSCL).