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
The Artificial Neural Network (ANN) model was developed to predict the environmental sustainability of companies based on their entrepreneurial marketing parameters such as proactiveness, opportunities, risk-taking, and innovativeness. The model was trained on a dataset of 275 companies rated on these parameters, with 225 data used for training selected based on gathering prediction and 50 for testing selected randomly. The optimum ANN architecture achieved was 4-10-10-1. The adjusted R-squared value for testing was 0.985, and for training, it was 0.947. The proposed model outperformed traditional regression methods due to its ability to capture the complex relationships between the input parameters and the output variable. The model can produce environmental sustainability for unseen data of infinite combinations of entrepreneurial marketing variables. Sensitivity analysis on the ANN model helps map the nonlinearity between entrepreneurial marketing variables and environmental sustainability.
In conclusion, the proposed ANN model has the potential to be an effective tool for predicting a company's environmental sustainability. Companies can use the model to identify areas where they need to improve their performance and take corrective actions to reduce their environmental impact. Therefore, marketer managers or policymakers realize that entrepreneurial marketing is the core factor to be sustainable management.
In conclusion, the proposed ANN model has the potential to be an effective tool for predicting a company's environmental sustainability. Companies can use the model to identify areas where they need to improve their performance and take corrective actions to reduce their environmental impact. Therefore, marketer managers or policymakers realize that entrepreneurial marketing is the core factor to be sustainable management.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-091174112
