IS IT POSSIBLE TO APPLY A DEEP LEARNING ALGORITHM TO INNOVATION MANAGEMENT RESEARCH?

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Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
Issue:56
IS IT POSSIBLE TO APPLY A DEEP LEARNING ALGORITHM TO INNOVATION MANAGEMENT RESEARCH?

IS IT POSSIBLE TO APPLY A DEEP LEARNING ALGORITHM TO INNOVATION MANAGEMENT RESEARCH?

Authors : Cemal ÖZTÜRK, Mustafa İNCEKARA, Sezai TOKAT

Pages : 217-226

Doi:10.30794/pausbed.1127776

View : 106 | Download : 91

Publication Date : 2023-05-22

Article Type : Research Paper

Abstract :This paper aims to apply a deep learning algorithm to estimate the prediction of various external financial input variables on adopting eco-innovation practices such as renewable energy operations of 5456 SMEs. A Long Short-Term Memory Units insert ignore into journalissuearticles values(LSTM); is applied to the data set to evaluate the performance of different input variables on the adoption of renewable energy. Furthermore, we process the dataset with different machine learning algorithms and compare the results. The findings indicate that LSTM gives the highest performance for all metrics. As a result, some important theoretical implications for management scholars are given.
Keywords : Yapay Zeka, Makine Öğrenmesi, Derin Öğrenme, LSTM, Eko inovasyon, Yenilenebilir Enerji

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