AI 포커스와 조직 민첩성: KOSPI 200 기업 사업보고서의 텍스트 마이닝 분석

초록

This study empirically examines how innovative leadership and sensemaking affect organizational agility through the mediating role of AI Focus, considering firm size and industry-specific heterogeneity. Using Word2Vec and Doc2Vec-based text-mining analysis of 1,874 annual reports from KOSPI 200 firms over an 11-year period, the study applies 3SLS and PSM-2SLS methods to verify differential effects across firm characteristics. The results reveal that AI Focus enhances operational agility, measured by total asset turnover, and improves market agility by lowering the ratio of advertising and SG&A expenses. Both innovative leadership and sensemaking positively affect AI Focus, with sensemaking exerting a more pronounced effect. However, these relationships differ by organizational context; the effects vary from positive to negative depending on revenue size, and while showing strong influence in IT and financial sectors, they remain minimal in manufacturing. These findings suggest that AI adoption extends beyond technological innovation to encompass organization-wide change management, highlighting the need for customized AI strategies tailored to firm size and industry characteristics.

키워드