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Titlebook: Big Data Approach to Firm Level Innovation in Manufacturing; Industrial Economics Seyed Mehrshad Parvin Hosseini,Aydin Azizi Book 2020 The

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21#
發(fā)表于 2025-3-25 04:40:35 | 只看該作者
22#
發(fā)表于 2025-3-25 11:01:55 | 只看該作者
Introduction to Applied Mineralogyh large sample size. Further, we aim to demonstrate how machine learning application can help us selecting the best appropriate exploratory variables. We elucidate several machine learning applications for predicting the best independent variables. Further implication of Probit and Ordered Probit mo
23#
發(fā)表于 2025-3-25 13:05:21 | 只看該作者
Introduction to Applied Mineralogyvation activities; the extent of innovation; factors characterizing an innovating firm; the types of innovation and the factors that drive and enable them. Following the definition of Big Data, we drawn the data from a large representative survey from 2007 and 2015 of Malaysian manufacturing firms.
24#
發(fā)表于 2025-3-25 19:49:47 | 只看該作者
https://doi.org/10.1007/978-981-15-6300-3Decision to innovate; Cost of innovation; Innovation activities; SMEs; Chain Linked model; Linear model
25#
發(fā)表于 2025-3-25 23:45:40 | 只看該作者
26#
發(fā)表于 2025-3-26 00:44:51 | 只看該作者
27#
發(fā)表于 2025-3-26 05:24:42 | 只看該作者
28#
發(fā)表于 2025-3-26 12:09:00 | 只看該作者
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/b/image/185632.jpg
29#
發(fā)表于 2025-3-26 13:45:19 | 只看該作者
2191-530X was also compared with the results of conventional statistical methods. The implications of the findings of the study for increasing the pace of innovation are also discussed..978-981-15-6299-0978-981-15-6300-3Series ISSN 2191-530X Series E-ISSN 2191-5318
30#
發(fā)表于 2025-3-26 18:58:24 | 只看該作者
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