The impact of Big Data and AI on innovation management processes

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.

Authors

Institutions

Publication Details

Journal
Journal of Entrepreneurship and Sustainability Issues
Published
2026-08-20
DOI
https://doi.org/10.9770/b5575887322
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of Big Data and AI on innovation management processes

Diana Szabóová, Vojtech Kollár
Journal of Entrepreneurship and Sustainability Issues
Big Data and Business Intelligence
article

The impact of Big Data and AI on innovation management processes

Diana Szabóová, Vojtech Kollár
article en

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.

Journal of Entrepreneurship and Sustainability IssuesVol. 14(1)
Slovak University of Technology in Bratislava (SK), Bratislava University of Economics and Business (SK)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The impact of Big Data and AI on innovation management processes — Diana Szabóová, Vojtech Kollár · Journal of Entrepreneurship and Sustainability Issues (2026) | TGRS Research Map | TGRS