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

/in , , /by

Mέλη του Εργαστηρίου e-Bi Lab συμμετείχαν στην συγγραφή της ερευνητικής εργασίας “Big Data in Data-driven innovation, the impact in enterprises’ performance”, η οποία παρουσιάστηκε στο 11o Διεθνές Συνέδριο Management of Innovative Business, Education & Support systems – MIBES 2016, το οποίο πραγματοποιήθηκε στο Ηράκλειο Κρήτης στις 22-24 Ιουνίου 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.

Συγγραφείς: Ιωάννης Κοπανάκης, Κωνσταντίνος Βασσάκης και Γεώργιος Μαστοράκης