Hidden Bibliographic Details
| Other authors / contributors: | Azizi, Aydin.
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| ISBN: | 9789811563003
9811563004
9811562997
9789811562990
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| Digital file characteristics: | text file
PDF
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| Notes: | Includes bibliographical references.
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| Summary: | This book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation in manufacturing; (1) factors that determine the decision to innovate (2) the extent of innovation (3) characteristics of an innovating firm (4) types of innovation undertaken and (5) the factors that drive and enable different types of innovation. A conceptual model and a cost-benefit framework were developed to explain a firms decision to innovate. To empirically demonstrate these aspects, Big data and machine learning approaches were introduced in the form of a case study. The result of Big data analysis as an inferior method to analyse innovation data 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.
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| Other form: | Print version: Hosseini, Seyed Mehrshad Parvin. Big data approach to firm level innovation in manufacturing. Singapore : Springer, 2020 9811562997 9789811562990
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| Standard no.: | 10.1007/978-981-15-6300-3.
10.1007/978-981-15-6
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