Decision Making Models of Small and Medium Knowledge Base Enterprises in Complex Situation and Deep Uncertainty

The rapid change in today’s complex world resulted in a situation of uncertainty for businesses. In turbulent and chaotic business environment, technology changing is on top of the list which causes huge challenges in making encountered in SMEs. knowledge based enterprises as the important elements in developing and using the technology are faced to many chalenges such as lacking information, unknown phenomenons, high risks and emerging issues in which the decision making task would be very hard. This research is carried out to identify patterns of decision making to empower managers to make decisions in response to dynamic market changes. The decision-making principles and models have been analysed using reviewed rational and intuitive administrative decisions models. This research checks three main features of the decision environments including conditions of deep uncertainty and complexity, a decision maker (entrepreneur) and the nature of the decision-making (knowledge). To carry out the study, the researcher investigated the topic via descriptive - survey in Science and Technology Park of Tehran University in which 130 experts and managers contributed. Results show that the intuitive model is the main decision-making model in firms having the uncertainity working environment. Also further studies clearly indicated that in this model, features of the decision-making have important role in decision-making quality.