Nonfiction | Business & Investing

Big Data Approach to Firm Level Innovation in Manufacturing

by Seyed Mehrshad Parvin Hosseini

2020-09-16 01:18:23

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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) characteri... Read more
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. Less

Book Details

Publication date August 3, 2020
Languageeng
ISBN9789811563003
autor-image
Seyed Mehrshad Parvin Hosseini
Author
Dr. Mehrshad Parvin Hosseini is an Assistant Professor at the Faculty of Business at Sohar University. He holds master’s and doctorate degree (Ph.D.) in Economics. He has served as a Lectu...

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