A System Model for Technological Capabilities Assessment in High-speed Train Industries

Authors

  • Reza Radfar Department of Technology Management, Management and Economics Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Robaheh Zolaikhaei Department of Technology Management, Management and Economics Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract:

The purpose of this study is to provide a model with a dynamic system method to investigate the factors affecting the technological capabilities enhancement in the high-tech industries of high-speed train of the rail transportation system. For this purpose, after reviewing the literature and conducting several meetings with experts in the rail transportation industry, a conceptual and qualitative structure of the subsystems and how they relate in this area were obtained. Then, in order to identify the effective dynamics in upgrading technological capabilities in high-tech industries in high-speed rail transportation, causal loops were drawn and the model was simulated with VENSIM software. Then, using a simulation model, the technology development process was modeled based on the developed structure. Finally, in order to consider the uncertainty space, based on the expert’s opinions, two scenarios of optimism and pessimism were considered. Based on the obtained results, variables such as having a suitable vision for technology development, recognizing basic technological priorities, ability to use and control technology effectively in main and support processes, ability to learn from one technology to another, ability to identify, evaluate, negotiate and finalize the terms of technology acquisition and support facilities, the ability to identify customers, announce auction prices and negotiate terms of sale, the ability to plan, monitor and control research and development projects and having  a proper system for evaluating technological projects,  have  great impact.

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Journal title

volume 6  issue 3

pages  101- 138

publication date 2020-11-01

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