[논문]텍스트마이닝을 활용한 주요 대기업 신년사 분석

김유경; 조대곤

doi:10.9716/kits.2023.22.2.093

텍스트마이닝을 활용한 주요 대기업 신년사 분석
Study on CEO New Year's Address: Using Text Mining Method 원문보기

한국IT서비스학회지 = Journal of Information Technology Services, v.22 no.2, 2023년, pp.93 - 127

김유경 (KAIST 문술미래전략대학원) , 조대곤 (KAIST 경영공학부)

Abstract ▼ AI-Helper

This study analyzed the CEO New Year's addresses of major Korean companies, extracting key topics for employees via text mining techniques. An intended contribution of this study is to assist reporters, analysts, and researchers in gaining a better understanding of the New Year's addresses by elucidating the implicit and implicative features of messages within. To this end, this study collected and analyzed 545 New Year's addresses published between 2012 and 2021 by the top 66 Korean companies in terms of market capitalization. Research methodologies applied include text clustering, word embedding of keywords, frequency analysis, and topic modeling. Our main findings suggest that the messages in the New Year's addresses were categorized into nine topics-organizational culture, global advancement, substantial management, business reorganization, capacity building, market leadership, management innovation, sustainable management, and technology development. Next, this study further analyzed the managerial significance of each topic and discussed their characteristics from the perspectives of time, industry, and corporate groups. Companies were typically found to emphasize sound management, market leadership, and business reorganization during economic downturns while stressing capacity building and organizational culture during market transition periods. Also, companies belonging to corporate groups tended to emphasize founding philosophy and corporate culture.

주제어

표/그림 (10)

그림 [Figure 1] Research Process of New Year's Address Analysis Using Text Mining
그림 [Figure 2] Structure of Agglomerative Clustering
표 Cosine Similarity by the Token for Word Embedding Result Input
그림 [Figure 3] How the PageRank Algorithm Works
표 Results and Topics of New Year's Text Mining
표 Top 10 Domestic and International News from 2012 to 2021
표 Top 10 Domestic and International News from 2012 to 2021 (Continued)
표 Percentage of Appearance by New Year's Day Topic by Year (Unit: %)
표 Percentage of New Year's Addresses by Industry (Unit: %)
표 Percentage of New Year's address by Conglomerate (Unit: %)

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