Big data approach to firm level innovation in manufacturing : industrial economics /

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Bibliographic Details
Author / Creator:Hosseini, Seyed Mehrshad Parvin.
Imprint:Singapore : Springer, 2020.
Description:1 online resource
Series:SpringerBriefs in applied sciences and technology
SpringerBriefs in applied sciences and technology.
Subject:Production management.
Manufacturing processes -- Technological innovations.
Big data.
Production engineering.
Business & management.
Technical design.
Technology & Engineering -- Industrial Engineering.
Business & Economics -- Management Science.
Technology & Engineering -- Industrial Design -- Product.
Business & Economics -- Economics -- General.
Big data
Manufacturing processes -- Technological innovations
Production management
Electronic books.
Format: E-Resource Book
URL for this record:
Hidden Bibliographic Details
Other authors / contributors:Azizi, Aydin.
Digital file characteristics:text file
Notes:Includes bibliographical references.
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.
Other form:Print version: Hosseini, Seyed Mehrshad Parvin. Big data approach to firm level innovation in manufacturing. Singapore : Springer, 2020 9811562997 9789811562990
Standard no.:10.1007/978-981-15-6300-3.

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