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Big Data Approach to Firm Level Innovation in Manufacturing: Industrial Economics
Kategorie	Beschreibung
036a	XB-SG
037b	eng
087q	978-981-15-6299-0
087q	978-981-15-6301-0
100	Parvin Hosseini, Seyed Mehrshad ¬[VerfasserIn]¬
104a	Azizi, Aydin ¬[VerfasserIn]¬
331	Big Data Approach to Firm Level Innovation in Manufacturing
335	Industrial Economics
403	1st ed. 2020.
410	Singapore
410	Singapore
412	Springer Singapore
412	Imprint: Springer
425	2020
425	2020
425a	2020
433	1 Online-Ressource (VII, 72 p. 11 illus., 1 illus. in color.)
451b	SpringerBriefs in Applied Sciences and Technology
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-6299-0
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-6301-0
540a	ISBN 978-981-15-6300-3
700	\|KC
700	\|BUS069000
700b	\|330.9
750	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 .
753	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 firm’s 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.
902s	216543657 Big Data
902s	208967869 Industrial Engineering
012	1728475295
081	Big Data Approach to Firm Level Innovation in Manufacturing
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttps://doi.org/10.1007/978-981-15-6300-3