درباره رابطه بین الگوهای بافت کسب و کار و عملکرد مالی در داده های شرکت ها About relationship between business text patterns and financial performance in corporate data

Introduction Korea’s small and medium-sized enterprises’ (SMEs) global competitiveness is relatively weak due to a national economic structure favoring larger corporations. To strengthen the competitiveness of SMEs, policy discourages large companies from entering industries that are appropriate for SMEs. In most industries, large companies and SMEs collaborate and compete at the same time; however there may be industries to which SMEs are more suited. Park et al. studied the selection of industries suitable for SMEs in Korea (Park et al., 2016). However, for SMEs to be able to compete internationally, they need to be competitive with global companies. To strengthen their competitiveness, SMEs that are not rich in human resources and financial status must be innovative. Open innovation can be a way of achieving this. Open innovation benefits from both internal and external knowledge. Research on innovation, or open innovation, has been actively pursued within academia. Witt has studied innovation that is necessary for our future (Witt, 2016). Yun et al. have studied dynamics that lead from open innovation to evolutionary change (Yun et al., 2016). Svirina, et al. conducted a study applying the concept of open innovation to social businesses (Svirina et al., 2016). By utilizing both internal knowledge and external knowledge, open innovation can strengthen SME competitiveness. This study analyzes the annual reports of US listed companies, with the aim of helping Korean SMEs absorb foreign knowledge and open innovation. Bibliometric analysis studies using patent or paper data in the field of technology intelligence research are being studied for the purpose of discovering new opportunities from the technical planning point of view. In bibliometric research, the areas where many papers and patents are produced or cited are defined as promising technologies or areas. According to Jeong et al., patent analysis can identify new free technology and utilize it as a seed technology for SMEs and as a means of growth engine (Jeong et al., 2014). In another study, Jeong et al. extracted future promising research areas by using bibliographic coupling and clustering technique for the top 1% of cited papers in SCOPUS data (Jeong et al., 2008). These techniques can be used as a way to shorten the effort and time of R & D and technology development in countries with limited resources. On the other hand, the analysis of the correlation between the business text and the financial analysis, which is the subject of this study, is interested in exploring the characteristics of the business documents of the companies with good financial performance and exploring the companies and the areas with the good financial performance. As a result, the bibliometric technique for papers and patents focuses on the area of people’s interest. On the other hand, this study is interested in finding companies or business area that is expected to perform well in the future in terms of financial or operating performance. The purpose of this study is to find out whether there is a correlation between business sales patterns and business text patterns.