MIBES 2016: “Big Data in Data-driven innovation: the impact in enterprises’ performance”

Members of the Laboratory e-Bi Lab participated in writing the research paper “Big Data in Data-driven innovation, the impact in enterprises’ performance”, which was presented at the 11th International Congress Management of Innovative Business, Education & Support systems – MIBES 2016, which held in Heraklion, Crete on 22-24 June 2016.

In the “knowledge-based economy”, enterprises have to be innovative in order to build and sustain a competitive advantage against rivals. However, innovation is complex due to fast changing technology, globalization (extremely competitive market conditions) and changing customers’ needs. Therefore, innovation is dependent on the combination of technologies and exploitation of knowledge.

The capacity of enterprises to access information and create valuable knowledge provides competitive advantage in the innovation race against rivals. In this context, “Data-Driven Innovation” (DDI) related to techniques and technologies for processing and analysing “big data”, is the method to innovate using data-based decision process.

The scope of this study is to present evidence about the significance of big data in data-driven innovation orientation of businesses and their performance.

Keywords: big data, data-driven, innovation, competitiveness.

Authors: Ioannis Kopanakis, Konstantinos Vassakis & George Mastorakis