JOURNAL OF TECHNOLOGY DEVELOPMENT MANAGEMENT
Year:2014 | Volume:2 | Issue:1 |Papers Count:6

This paper deals with identifying and ranking influencing factors in technology value, in technology exchanges or licensing technology. After exploratory studies in the field of technology valuation models and studying the literature of the subject of this research, researchers identified a relatively comprehensive set of technology valuation indicators. Then, by utilizing the experts’ opinions and analyzing the data, with Binomial and Friedman exams, determined the importance ratios of these indicators form the buyers’ viewpoint in automotive industry. Results showed that the indicators related to the benefit dimension and content of the contracts’ dimension have had the maximum importance in technology value estimation. Finally, a real case was valued by utilizing the identified ratios. Technology valuators and technology exchange contractors, generally, and participants in automotive industry, specially, can use the results of this research.

One of the requirements for the successful performance of organizations in today's competitive world is having innovation and creating competitive advantage. One of the new models for innovation is Open Innovation model (OI). The main objective of this study is to identify influential factors on implementing of open innovation. Therefore, the main factors affecting open innovation have been considered in two dimensions: internal (structural, financial and staff) and external factors (cooperation with competitors, relationship with customers, political/legal factors and relationship with university). An applied, descriptive correlational survey is carried out. The data were collected by using questionnaires which were distributed between 100 experts of the research centers of the Ministry of Science and Industry by random sampling. The data were analyzed by using Path Analysis and PLS software. The results show that all identified dimensions of internal and external factors influence on implementation of open innovation.

The firm's innovation capability constitute set of enablers which are main driver innovation in today's business environment. They must constantly check out situation and interaction among innovation enablers and results in order to continuously improve innovation. Present study is proposed a dynamic framework to investigate the relationships between the enablers of innovation capability (leadership, innovation strategy, people, partnerships and resources, and process innovation) as well as expected results (customer, employee, organization and total performance) that are studied in a manufacturing company. Using information from the strengths of influence between five key components of innovation capability, by applying the DEMATEL method, as well as based on the logical assumption that, by improving the enablers, there will be an inevitable innovation results improvement, dynamic model of innovation capability was established. Simulation results of model showed that the tow enablers people and innovation strategy have minor role in the enhancing the maturity level of innovation capabilities. The company's policy scenarios determined more effort to improve people enabler promoting innovation capability maturity level result in a shorter period of time.

Myocardial Infarction happens when blood stops flowing properly to part of the heart and the heart muscle is injured due to not receiving enough oxygen. Percutaneous coronary intervention (PCI), is a non-surgical procedure used to treat the Myocardial Infarction. When PCI is success, average life expectancy of patient is increased and patient returns to normal life. Every year, part of PCI knowledge, as scientific articles, are provided to medical communities. Extraction of implicit knowledge in papers facilitated access to PCI knowledge, PCI Knowledge map shows a comprehensive picture of PCI. Knowledge map is a tool for presenting complex process and relation between concepts. This paper base on text mining and using Co-occurrence Analysis method, extracted causal relationships between PCI concepts from abstract of 20 years paper and illustrating these relationships, then Validated PCI map by experts, Importance of relationships between concepts is determined Using fuzzy cognitive map. in this paper FCM is trained with AHL and DHL algorithms, result indicated PCI has scientific Structure. PCI Fuzzy Knowledge map can be used in training, process of PCI changes, and determines the most important factors that influence the success of PCI.

Intense competition in today’ s rivalry world, encourage Firms to acquire sustainable competitive advantages in order to survive. The role of technology is a major factor to achieve competitive advantages, consequently the acquisition, development and application of technology creating competitive advantages as speedily as possible is vital for the firms. This research investigates the determinants which influence the choice of T. S. M. in Iranian technology intensive and high-technology firms while describing how those determinants affect the choice of TSMs. We argue the hypothesis relying on determinants and their effects on three categories of technology sourcing modes (TSMs); Internal development, cooperation and acquisition. eleven hypotheses are argued and tested. Employing statistical models such as factor analysis, regression, ANOVA, etc., firm-related factors affecting technology sourcing modes in the context of Iranian high-tech industries are identified. These statistical models are provided using SPSS software, version 15.

Nanotechnology has variant applications in vehicle industries and their prioritizing is important for decision-making about the best allocation of different sources and the investing for accessing to developing markets of produces of Nano Technology in alimentary industries and their expanding. However, the problem is that how the prioritization of the applications in alimentary industries is done on the base of combinational model of Fuzzy Multiple Criteria Decision Making (FMCDM). The first with performing prioritization research and science document, important criteria of initial of Nano Technology application in vehicle industries section extract and anther opinion of universities master and vehicle industries aware for riddle, so the criteria that have the more decimal and fuzzy weightings are selected. Then survey ten people of aware and data analysis with software Excel supporting and result solution method of FDEMATEL was shown that criteria of the most effective is “ Technological merit” and the most effected is “ Technology development potential” . Also combinational method of ANP based on DEMATEL (DANP) the criteria “ Financial risk” the most importance for technology selection to be happened. Finally the solution method VIKOR was shown that nanotechnology application in “ Nanostructures / Nano composites /Nanoparticles” and “ Functional coatings and lubrication” both were the first priority. The results can help the decision maker to improve the priorities and strategic programing.