TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-15-6
AB  - 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.
T1  - Big data approach to firm level innovation in manufacturing :industrial economics /
DA  - 2020.
CY  - Singapore :
AU  - Hosseini, Seyed Mehrshad Parvin.
AU  - Azizi, Aydin.
CN  - TS155
PB  - Springer,
PP  - Singapore :
PY  - 2020.
ID  - 940680
KW  - Production management.
KW  - Manufacturing processes
KW  - Big data.
SN  - 9789811563003
SN  - 9811563004
TI  - Big data approach to firm level innovation in manufacturing :industrial economics /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-6300-3
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-6300-3
ER  -