A Study for the Development of Incheon International Airport in the Post-Corona Era through the Analysis of Big-Data in the News: Using SBSC Frame and Text Mining

서지정보

· 발행기관 : 세명대학교 인문사회과학연구소
· 수록지 정보 : 인문사회과학연구 / 31권 / 1호 / 107 ~ 135페이지
· 저자명 : 나형종, 남기설, 이건창

초록

· Research topics: This study proposes the development plan of Incheon International Airport to respond to the post-corona era. News big data related to Incheon International Airport in 2019 before COVID-19 and 2020 after COVID-19 are analyzed and compared using text mining techniques, especially by reinterpreting text analysis results by applying SBSC frame, a management accounting analysis method.
· Research background: The COVID-19 crisis has significantly reduced the movement of people at home and abroad, especially the floating population of overseas arrivals and arrivals (Ludvigson et al., 2020). The operation of Incheon International Airport has been hit hard by the near ban on international flights.Fortunately, the transportation of cargo is continuously maintained, but the abnormal situation caused by the Corona incident is a shock to Incheon International Airport. This shock from the COVID-19 crisis is expected to continue for a long time, changing the overall environment as well as people's perceptions (Forsyth et al., 2020). In other words, the aftermath of the COVID-19 shock is expected to remain even after the end of COVID-19. Incheon International Airport should proactively predict these changes in the environment and prepare countermeasures.
· Differences from prior research: First, the reliability of the research results was improved by collecting news articles from Incheon International Airport and presenting research results analyzing unstructured text big data in various aspects through keyword analysis and LDA analysis. Second, useful information in terms of management was provided by applying the SBSC frame to the text analysis result and reinterpreting it.
· Research method: In this paper, news, which is an unstructured text data, was analyzed using text mining techniques to objectively derive the development plan of the post-COVID-19 era at Incheon International Airport. Significant information was derived by comparing and analyzing the results of airport-related news analysis in 2019 before the COVID-19 outbreak and in 2020 after the COVID-19 outbreak. First, keywords were extracted by the TF-IDF value (Ramos, 2003), and then the main keywords before and after COVID-19 were compared. And through LDA (latent dirichlet allocation) analysis (Tong and Zhang, 2016), major topics before and after COVID-19 were extracted and compared. In addition, the SBSC (sustainability balanced scorecard) frame was applied (Rabbani et al., 2014) to extract and compare key keywords before and after COVID-19 from the perspective of financial, customer, internal process, learning, and growth and social responsibility.
· Research results: The analysis results of this study are as follows. First, as a result of keyword analysis by TF-IDF value (Ramos, 2003), words such as services and officials were not emphasized in 2020 compared to 2019, and words such as Corona, Eastar, and New Airport were greatly highlighted. Second, as a result of LDA analysis (Tong and Zhang, 2016), compared to 2019, the airport's efforts to prevent the spread of COVID-19 after the COVID-19 crisis and the aviation industry recession caused by COVID-19 were emphasized in 2020. And the financial difficulties of Incheon International Airport were also extracted as major topics. Before the COVID-19 crisis, people were interested in cheap flights. For the new airport, the proportion of topics increased in 2020 compared to 2019, the proportion of airlines' management rights increased in 2020 compared to 2019, and the topic of financial difficulties at Incheon International Airport was newly emphasized after the COVID-19 crisis in 2020. Third, as a result of the analysis applying the SBSC frame (Rabbani et al., 2014), the financial perspective increased by 0.5% in 2020 compared to 2019. The customer perspective showed a 2.2% drop in 2020, the internal process perspective decreased by 2.3% in 2020, and the learning and growth perspective also showed a 1.1% drop in 2020 compared to 2019. However, the perspective of social responsibility decreased by only 0.1% in 2020 compared to 2019. Compared to the results when excluding airport-related keywords classified as others, the internal process perspective and social responsibility perspective increased in 2020 compared to 2019. These results mean that interest and importance in financial, internal processes, and social activities have increased after the COVID-19 crisis.
· Contribution points and expected effects: First, based on the analysis results of the tax mining of news, which is unstructured text data, Incheon International Airport's development plan for the post-corona era was presented. Second, useful information for establishing strategies and policies for Incheon International Airport was provided by reminding the importance of reliable health prevention through the establishment of a more effective and efficient internal process after the COVID-19 incident. Third, it was emphasized that Incheon International Airport should continue to engage in social responsibility activities to maintain its status as a world-class Northeast Asian hub airport.

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