标题：Technology Development Decision-Making Points and Differences in Identifying Commercial Opportunities for Mechatronics, Laser, and Nanoelectronic Technologies
摘要：There is a popular idea that technology-development success depends on some creative magic, but leaders contradict the assertion that innovation is a process that can be perfected. Turning technology into reality requires an excellent understanding of the development process from idea to market. The technology commercialization process is broken down into phases in which vital decision-making points exist. In the scientific literature, which examines and analyzes the process of technology development and its problems, there is a variety of views and opinions related to the concepts used to define this process and its content. These motives led to the formulation of the first objective of this article: to analyze technology-development models studied by different researchers and used by different reliable organizations. The second objective is to determine the content of the technology-development process and processes that are alternative or related to the content of the technology-development process, in this way elucidate the differences and interfaces between these models and the vital decision-making points. There are many vital decision-making points in the early stage of technology development. However, only one point—identification of commercial opportunities, determines whether technology will reach other vital decision points. Based on the results of this identification, large-scale investments are made. The decision made at this stage determines whether or not a project will have a successful return on investment. However, the specifics of the different technology industries are apparent, and these differences may affect the identification of commercial opportunities. The article also sought to reveal the specifics of commercialization for different technology industries. The research uses the integrated fuzzy Delphic-Eckenrode Likert-type scale-based rating technique for grey numbers to gather expert opinions and determine the weights of factors. The research results show the differences in identifying commercial opportunities for mechatronics, laser, and nanoelectronic technologies.
