JOURNAL OF TECHNOLOGY DEVELOPMENT MANAGEMENT
Year:2015 | Volume:2 | Issue:4 |Papers Count:6

This study investigates the impact of activities of multinationals on local firms in Iran mobile industries. Methodologically, both quantitative and qualitative research methods have been employed. The conceptual model was developed based on literature review and historical trend of formation and development of Irancell and its effect on the Iran’ s mobile industry and also content analysis of expert opinion. In this model multinationals have affect on local companies and suppliers through four mechanisms (competition, imitation, communication and movement of human resource). After that the influence of FDI’ s spillover over local companies and suppliers has been studied. This impact has two aspect; technological and managerial. In this context after analyzing the validity and reliability of the questionnaire, A sample of 45 senior and middle managers was determine and the questionnaire was distributed. Base on survey results, it was found that mechanisms of competition and imitation were more important in the technology spillover, and the effect of FDI on local companies was greater than its effect on domestic suppliers. At the end of the study Some Recommendations for strengthening the influence of multinational companies entering the local supplier network development is presented.

Studies indicate that a large number of corporate entrepreneurial activities start informally and secretly from operational levels. Bootlegging emerges when employees cannot pursue their ideas formally, and hence utilize organizational time and resources for realizing their ideas. In this vein, this research aims to investigate factors causing employees to initiate bootlegging behavior. This was a qualitative research and the data was collected by semi-structural interviews from R&D and product managers in different industries. We identified 4 groups of factors explaining why employees undertake bootlegging behavior. This provides valuable insights into the better utilization of underground ideas for corporate innovative activities.

Necessary of achieve to the objectives of national development is knowledge and advanced technology that only be achieved by doing fudamental, applied and development research. So evaluation and monitoring on the research situations is unavoidable. However, the evaluation and monitoring is done effectively when the proper indicators are developed for the formulation of the policy, judge and decide. This research aims to identify key indicators in health sector researches and compared them with researches in universities and institutions of science, research and technology ministry. This study was based on a survey using descriptive data has been collected. The research method of this paper is descriptive and analytical. Ishikawa Fuzzy Delphi Technique based on opinion of 8 experts is used for this study. Results show that experts have chosen 30 of 74 indicators as critical indicators that should be monitor continusly. Statistics also show differences in selected indicators between Ministry of Health and Medical Education and Ministry of Science and Technology.

Since the identification of the most appropriate future technology for the power industry at least at the national level، by using multi-disciplinary techniques of futurism، the present research drawing and rating scenarios of the future of Iran's power industry utilizes the fuzzy cognitive map (FCM) and Scenario analysis. FCM process conducted by in-depth interviews with experts in the power industry continues until achieving theoretical saturation. FCM of the power industry that is the same as gathering information and input phase of the future studies process is achieved. FCM has three step of scenario writing، simulation scenarios based on FCM and ranking the scenarios. In the first step، four technology-based scenarios for the future of power industry، which are the result of investment priorities in the industry، are determined so that in the next step by placing these scenarios in the FCM of Iran power industry، simulation of these scenarios based on the FCM is carried out. In the final step، the ranking of the scenarios resulted from the results of simulation of scenarios is performed using TOPSIS technique. Accordingly، the scenario of electricity generation development from new and renewable energy is the first priority. Smart power grid development scenario has the second priority، continuing past routines scenario power generation based on fossil plant has the third priority، and the scenario of the development of nuclear energy in power generation has the fourth priority in order to achieve the desirable future of the power industry from the perspective of this study.

The importance of technology as a major factor affecting engine of economic developmentin in the today Technology transfer from university to industry is one of the most effective channels for development of technology. In Iran, despite the attempts, it seems that this process has not been conducted properly yet. By knowing the effective factors on success or failure of technology transfer from universities to industry, it is possible to make more reasonable and precise decisions. In this paper, after investigation, by use of fuzzy Dematel technique and system dynamic modeling approach and CLD plotting, the effective variables on technology transfer are identified and finally a conceptual model representing the factors and mechanisms was designed and presented. The results show the effective relationship between universities and industries could facilitate the technology transfer.