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

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
Language:	English
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. Economics. 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:	http://pi.lib.uchicago.edu/1001/cat/bib/12607109

Hidden Bibliographic Details
Other authors / contributors:	Azizi, Aydin.
ISBN:	9789811563003 9811563004 9811562997 9789811562990
Digital file characteristics:	text file PDF
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. 10.1007/978-981-15-6

Table of Contents:

Chapter 1: Introduction to innovation activities
Chapter 2: The role of SMEs 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.