인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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.
논문 기본 정보
- 저자정보
초록·키워드
One of the keys to the company’s success in achieving sustainability is the application of technological innovation. Technological innovation plays a crucial role in creating manufacturing values and excellence. It is necessary to understand what are the key drivers of implementing technological innovations that can support the achievement of competitive advantage and sustainability in manufacturing companies, including Small and Medium Enterprises (SMEs). With all the limited capacities and resources, technological innovation becomes challenging for SMEs, especially to deal with dynamics and uncertainties in the business environment. This study aims to determine the key drivers of the application of technological innovation in manufacturing SMEs to support the achievement of sustainable competitive advantage. The case study was conducted in metal manufacturing SMEs in Indonesia. This study uses Interpretive Structural Modeling (ISM) in determining the contextual relationship between the identified key drivers. Based on the results, it is known that among the eleven key drivers, three drivers belong to the dependent cluster, four belong to the linkage cluster, and the rests belong to the independent cluster. In addition, the results of this study show that factors related to management support and commitment, government regulations, collaborative support, as well as the application of artificial intelligence, are the main key drivers that need to be prioritized for the successful application of technological innovation towards sustainability. The findings of this study are intended to assist managers and practitioners, especially those engaged in metal manufacturing SMEs, to develop a strategic plan for creating sustainable manufacturing values, in the context of technological innovation.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.