Received:
2026-05-11 | Accepted:
2026-07-30 | Published:
2026-09-30
Title
The impact of Big Data and AI on innovation management processes
Abstract
In the era of digital transformation, innovation is becoming a key driver of enterprise competitiveness. This article analyses the impact of digitalisation on the management of innovation processes, focusing on the use of Big Data, artificial intelligence (AI), and advanced analytics as critical enablers of strategic decision-making. It examines how these technologies allow organisations to identify innovation opportunities more effectively, optimise product development and respond flexibly to rapidly changing market conditions. The article further discusses the main challenges associated with implementing digital solutions in the innovation process, including data quality issues, technical barriers, and organisational change. Finally, it offers practical recommendations for managers to support sustainable, agile, and data-driven innovation management.
Keywords
digital transformation, innovation, innovation management, data-driven innovation, Big Data, AI, data analytics, industrial laundry, circular economy
JEL classifications
M11
, M15
URI
http://jssidoi.org/jesi/article/6690
DOI
Pages
408-422
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
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