국내 기업의 디지털 전환 유형: SW융합실태조사 기반 군집분석

• 영문명: Digital Transformation TypesIdentified by Cluster Analysis of the SW Convergence Survey
• 발행기관: 한국IT서비스학회
• 저자명: 송지환(Ji-Hwan Song) 신승윤(Seung-Yoon Shin) 이중엽(Joong-Yeup Lee)
• 간행물 정보: 『한국IT서비스학회지』제24권 제1호, 61~72쪽, 전체 12쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2025.02.28

국문 초록

This study analyzed the digital transformation types of domestic companies using data from the SW Convergence Survey conducted over the past three years. The survey targeted 1,181 Korean companies across nine major industries, collecting data on critical factors driving digital transformation, such as workforce, investment levels, and technological capabilities. These data provided a comprehensive understanding of the current state of digital transformation among the surveyed companies. The analysis employed the k-means clustering method to classify the companies into four distinct groups. This clustering approach allowed for the identification of unique characteristics within each type of digital transformation, offering valuable insights into the specific development trajectories and strategic orientations of the groups. By identifying the distinctive traits and trends of each cluster, the study provides essential groundwork for designing tailored support strategies. Additionally, the clustering results reveal how companies navigate their digital transformation pathways, offering practical guidance to both government and industry for planning effective support programs and fostering collaborative initiatives.

목차

1. 서론

2. 개념적 배경

3. 연구 방법론

4. 기업의 디지털 전환 유형별 분석

5. 결론 및 제언

참고문헌

키워드

Digital Transformation Types K-Means Clustering Analysis SW Convergence Survey