@article{940680,
      author = {Hosseini, Seyed Mehrshad Parvin. and Azizi, Aydin.},
      url = {http://library.usi.edu/record/940680},
      title = {Big data approach to firm level innovation in  manufacturing : industrial economics /},
      publisher = {Springer,},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-981-15-6},
      recid = {940680},
      pages = {1 online resource},
      address = {Singapore :},
      year = {2020},
}