Analytical Approach to Innovation Processes: Innovation Analytics

Year 2023, Volume: 12 Issue: 1, 1 - 25, 24.06.2023

Eyüp Çalık

Abstract

In this study, it is aimed to understand the concept of innovation analytics by examining what innovation analytics is and to show what kind of models will find application areas for analytical levels. Methodology: Modeling was done for innovation analytics and widely used data analytics and machine learning algorithms were used as well as basic inferential statistical methods for data analysis. Findings: It has been shown that many different types of innovation analytics can be modeled and applied to increase efficiency in innovation processes which are from idea selection to commercialization. Practical Implications: Demonstrating the applicability of innovation analytics types will offer a different perspective to researchers, corporate innovation practitioners, and leaders. Originality: In addition to being the first Turkish study to handle the concept of innovation analytics, it also includes applications for 3 different levels of innovation analytics.

Keywords

Innovation Analytics, Innovation Process, Data Analytics, Machine Learning, Artificial Intelligence

References

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