Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/52014
Title: Is It Possible to Apply a Deep Learning Algorithm to Innovation Management Research?
Authors: İncekara, Mustafa
Tokat, Sezai
Öztürk, Cemal
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 (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.
URI: https://hdl.handle.net/11499/52014
https://doi.org/10.30794/pausbed.1127776
https://search.trdizin.gov.tr/yayin/detay/1176231
ISSN: 1308-2922
2147-6985
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Mühendislik Fakültesi Koleksiyonu
TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection

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