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Big Data and Innovation; A Case Study on Firm Level Innovation in Manufacturing

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Big Data Approach to Firm Level Innovation in Manufacturing

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

This study investigated several aspects of firm level innovation in Malaysian manufacturing: the factors that influence the decision to invest in innovation activities; the extent of innovation; factors characterizing an innovating firm; the types of innovation and the factors that drive and enable them. Following the definition of Big Data, we drawn the data from a large representative survey from 2007 and 2015 of Malaysian manufacturing firms. The main findings unveil that while firm size, research and development investments, firms collaborative research, participation in international market through export among other indicators can positively influence firm level innovation. This section outlines the phases of the development of a coherent policy to foster, sustain and increase the level of innovation.

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Author information

Authors and Affiliations

  1. Faculty of Business, Sohar University, Al Jamiah Street Sohar, Oman, 311, Sohar, Oman

    Seyed Mehrshad Parvin Hosseini

  2. School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, UK

    Aydin Azizi

Authors
  1. Seyed Mehrshad Parvin Hosseini
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  2. Aydin Azizi
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Corresponding author

Correspondence to Seyed Mehrshad Parvin Hosseini .

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© 2020 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Parvin Hosseini, S., Azizi, A. (2020). Big Data and Innovation; A Case Study on Firm Level Innovation in Manufacturing. In: Big Data Approach to Firm Level Innovation in Manufacturing. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-6300-3_5

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