인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Assessing the firm value of a company operating in the information security industry presents challenges, mainly due to the complexity of estimating the business value of information security products. Relying solely on the economic value of these information security products may lead to inaccuracies in evaluating the firm"s financial performance. To address this issue, we propose an alternative method that focuses on analyzing the information security firm"s strategic dynamics over time. This proposed approach takes into account the dynamics of the information security technology industry. Our central argument is that the value of an information security firm is closely tied to its ability to adapt persistently and swiftly to emerging information security demands. To measure these strategic dynamics, we employ machine learning techniques. In our study, we examine the relationship between the strategic dynamics of information security firms and their capital and sales market firm value. To do so, we utilize a panel dataset and employ both machine learning and econometric approaches for analysis. By adopting this methodology, we aim to provide a more accurate and comprehensive understanding of the financial value of information security firms in the industry. In this research, we employ publicly available data from sources like WRDS, USPTO, LexisNexis database, encompassing capital market information, news, and magazine articles from December 2005 to January 2017.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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UCI(KEPA) : I410-ECN-0102-2023-050-002045101
