Path Analysis Development Based on Balanced Scorecard in Order to Identify Causal Relationships of Science and Technology Indices (Case Study in Iran University of Science & Technology)

The main aim of this paper is to investigate the causal relationships among science and technology indices used by universities. This is investigated using workflow automation and interactive planning in order to take control of competitive environment, and consequently to enhance the adaption rate of universities to uncontrolled changes. The science and technology indices were categorized into five domains of communication and international relationships, research and technology, education and culture, postgraduate education, budgets and utilities and infrastructures. The indices of Iran University of science and technology were first evaluated according to concepts of interactive planning and intelligent agents. These indices are research-based, and the most important ones were identified in each field according to experts' opinion. The conceptual model was then designed.