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This case study used a technology readiness level (TRL), market attractiveness level (MAL), and customer readiness level (CRL) to measure the prospect of promising products. The TRL, MAL, and CRL were measured using Delphi methods. A TRL is composed of basic research as well as experimental, prototype, practical, and commercial stages. A market attractiveness level is made up of global market size, global market growth rate, and government policy suitability. A customer readiness level was measured using consumer preference. The promising products were mainly selected as information communication and software related products. Among the technologies and products announced by domestic and foreign organizations, products suitable for research and development tasks of small and medium-sized enterprises were selected. The results of this case study are expected to be committed for the enhancement of the success rate of commercialization for small and medium-sized enterprises by being dedicated to the R&D planning of small and medium-sized enterprises in the ICT (Information and Communication Technology)/SW (Software)) field and proposing a direction to pursue the business. The purpose of this paper is to propose an approach to measure the prospect of promising products by using three levels: TRL, MAL, and CRL, which are measured using Delphi methods. This approach aims to enhance the success rate of commercialization for small and medium-sized enterprises (SMEs).

In this study, the trend in green technology was observed and the domain of the green technology area that will be actively studied in the future was found by establishing knowledge map in green technology area and comparing and analyzing green technology information in Korea and overseas in time series. For the purpose of this study, network analysis was conducted for the keyword of green technology information provided by green technology information portal site (www.gtnet.go.kr) operated by Korea Institute of Science and Technology Information. Network analysis was conducted using keyword, and change of study subject was found by dividing the analysis result into periods. In the result of network analysis on top 100 keywords from total English keyword, it was found that renewable energy related areas such as solar energy and biomass had high centrality. When the main keyword trend by year was studied, centrality of solar cell, nanotechnology, smart grid, and fuel cell were found to increase, showing that research and development in generation and use of renewable energy are actively made.

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