Knowledge always is a powerful tool in stabilizing position of individual/community service to the public and excellence approach in current autonomous communities. Value of knowledge has been more necessary if it capable for transfer to the High-Tec and needed Technolo More
Knowledge always is a powerful tool in stabilizing position of individual/community service to the public and excellence approach in current autonomous communities. Value of knowledge has been more necessary if it capable for transfer to the High-Tec and needed Technologies of humanity societies. Knowledge Based Enterprise (KBE) is a real-law enterprise such as factory that transfer Knowledge to production/services. However KBEs are causing for sustainable knowledge economy and development native knowledge in more countries, but these enterprises havnt optimize occasion in view of quantity, production quality and service extensive according to the 20 years growth view of Iran. Purpose of this study is to identifying encounter challenges of KBEs that located on Yazds Science and Technology Park (STP) and clustering these challenges with ANN method exactly. The Samples contains 137 person such as manager and top employees of these enterprises. Number of reached challenges have been 59 that were attained from literature and experts guidelines were designed and distributed between samples suddenly. According to the PB artificial neural network, reliabilities of samples were confirmed with MSE=2.0332 and priority done with Multilayer Perceptron (MLP) artificial neural network and with inspiration of Business Process Management System (BPMS) approach. According to the BPMS approach and MLP method, Result show that challenges did cluster in three factions known as: management activities, operational activities and support activities. Thus, number of management, operational and support activities in order were 27, 15 and 17 items exactly.
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The role of knowledge and science are paid attention in national development because creating expertise and improving the Total factor productivity of production. Furthermore, the position of technology and knowledge is considered vital as endogenous factors in this dev More
The role of knowledge and science are paid attention in national development because creating expertise and improving the Total factor productivity of production. Furthermore, the position of technology and knowledge is considered vital as endogenous factors in this development process. On the other hand, the conversion of knowledge into product and service will meet the needs of different communities. Knowledge-based companies are included as institutions that work as factories converting knowledge into product and service. Although, knowledge-based companies create sustainable knowledge-based economy and development of indigenous knowledge in many countries, but in accordance with the country's 20-year outlook and in terms of quality and quantity, they are not in ideal situation and are faced with challenges in their own development process. This research aims at identifying challenges facing knowledge-based companies located in Yazd's Science and Technology Park of Eghbal and prioritizing these challenges using Artificial Neural Network. The case study includes 137 managers and senior staff of these companies. Fifty nine challenges obtained from related literatures and experts’ opinions have been compiled in a questionnare and distributed among target population. One hundred and twenty eight collected questionnairs were validated by BP Artificial Neural Network and confirmed with MSE=2.0332 and challenges were prioritized with Artificial Neural Networks Radial Basis Function. The research proved that 19 of 59 challenges were priority among which economic problems of the country, industry and domestic markets recession and government’s unbalanced support policies can be pointed out.
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