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Record Nr. |
UNINA9910416135803321 |
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Autore |
Parvin Hosseini Seyed Mehrshad |
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Titolo |
Big Data Approach to Firm Level Innovation in Manufacturing : Industrial Economics / / by Seyed Mehrshad Parvin Hosseini, Aydin Azizi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (78 pages) : illustrations |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-530X |
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Disciplina |
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Soggetti |
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Economic history |
Industrial engineering |
Production engineering |
Business |
Management science |
Engineering design |
Economy-wide Country Studies |
Industrial and Production Engineering |
Business and Management, general |
Engineering Design |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction to innovation activities -- Chapter 2: The role of SME’s in innovation activities -- Chapter 3: Overview of innovation activities in Southeast Asia -- Chapter 4: From Linear model to Chain Linked model of innovation in reaching firm characteristics that facilitate and lowering the cost of innovation -- Chapter 5: Predicting level of innovation -- Chapter 6: Factors affecting the decision to innovate and related policies . |
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Sommario/riassunto |
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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 |
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