ISBN: 9789811562990 - big data approach to firm level innovation in manufacturing: industrial economics (11 risultati)

Paperback. Condizione: Fine. 1st Edition. Grade 4 out of 5 points. This is a used book. Book may have wear due to handling. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business.…

Condizione: New. pp. 72.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discussesutilizing 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.…

Paperback. Condizione: Brand New. 80 pages. 9.25x6.10x0.20 inches. In Stock.

Taschenbuch. Condizione: Neu. Big Data Approach to Firm Level Innovation in Manufacturing | Industrial Economics | Seyed Mehrshad Parvin Hosseini (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | vii | Englisch | 2020 | Springer | EAN 9789811562990 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discussesutilizing 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. 80 pp. Englisch. …

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents five aspects of firm-level innovation in Southeast Asian manufacturingDiscusses factors associated with innovation among small and medium-sized enterprises (SMEs) Highlights how the findings can increase the pace of innovation.…

Condizione: New. Print on Demand pp. 72.

Condizione: New. PRINT ON DEMAND pp. 72.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 80 pp. Englisch.…