Actual State of COVID-19 Strategy Meetings

Autor/inn/en	Arai, Takao; Saito, Kengo; Hirai, Yuji
Titel	Actual State of COVID-19 Strategy Meetings
Quelle	In: Discourse and Communication for Sustainable Education, 12 (2021) 2, S.96-107 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2255-7547
DOI	10.2478/dcse-2021-0019
Schlagwörter	COVID-19; Pandemics; Strategic Planning; Meetings; Content Analysis; Factor Analysis; Decision Making; Discussion; Prevention; Data Collection; Business Communication + Suchen Sie Ihr Suchwort? Strategy; Planning; Strategie; Planung; Meeting; Tagung; Inhaltsanalyse; Faktorenanalyse; Decision-making; Entscheidungsfindung; Diskussion; Prävention; Vorbeugung; Data capture; Datensammlung; Unternehmenskommunikation
Abstract	The authors of this paper applied a new approach combining text mining and principal component analysis (PCA) to objectively determine the actual state of regional COVID-19 strategy meetings and verified its utility. The authors used text mining to analyze meeting minutes and extracted words with high phase ubiquity by co-occurrence analysis. Then, they selected words symbolizing the meeting contents ("report," "prevention," "rules," and "decision") and performed PCA using the occurrence rates of these words as variables. Two principal components (PC1, PC2) were set. For PC1, we observed maximum factor loading for "decision" (0.81) and minimum for "report" (-0.72), so we considered this axis to show the "depth of meeting discussions." For PC2, we observed maximum factor loading for "prevention" (0.81) and minimum for "rule" (-0.76). We considered this axis to show "regional infection status." When we created a plot of all 44 meetings, Phase 1 occurred in quadrants 3 to 4 (knowledge sharing), phase 2 began in quadrant 1 (preparation for spread), and phase 3 shifted to quadrant 2 (response to spread) with significant differences between these phases. Our findings suggest that the actual state of regional COVID-19 strategy meetings could be objectively determined by using a combination of text mining and PCA. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01