I4.0 and 4xe – Industry 4.0 and Cluster Policy: Exploitation, Effectiveness, Evaluation, and Expectations

Purpose | This article analyses the impact of cluster membership on businesses’ digital transformation and adoption of Industry 4.0 technologies, with a focus on benefits and varying member approaches. Research method | The study combines the literature review with the results of Bench marking and the application of R software to develop typologies of cluster members based on four dimensions [4xE]: Exploitation, Effectiveness, Evaluation, and Expecta tions concerning I4.0 adoption. Results | The results show that cluster initiatives positively influence the adoption and use of advanced technologies. The identified member typologies highlight varying engagement levels and benefits. Originality / value / implications / recommendations | This research contributes to the understanding of cluster dynamics in fostering technological advancements and offers evidence-based recommendations for enhancing digital transformation support within clusters. Insights are provided for cluster coordinators to tailor support initiatives for specific member groups, improving the effectiveness of I4.0 adoption.

Authors

Publication Details

Journal
Optimum Economic Studies
Published
2025-01-01
DOI
https://doi.org/10.15290/oes.2025.03.121.14
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

I4.0 and 4xe – Industry 4.0 and Cluster Policy: Exploitation, Effectiveness, Evaluation, and Expectations

Marta Maćkiewicz, Marta Götz
Optimum Economic Studies
Digital Transformation in Industry
article

I4.0 and 4xe – Industry 4.0 and Cluster Policy: Exploitation, Effectiveness, Evaluation, and Expectations

Marta Maćkiewicz, Marta Götz
article en

Abstract

Purpose | This article analyses the impact of cluster membership on businesses’ digital transformation and adoption of Industry 4.0 technologies, with a focus on benefits and varying member approaches. Research method | The study combines the literature review with the results of Bench marking and the application of R software to develop typologies of cluster members based on four dimensions [4xE]: Exploitation, Effectiveness, Evaluation, and Expecta tions concerning I4.0 adoption. Results | The results show that cluster initiatives positively influence the adoption and use of advanced technologies. The identified member typologies highlight varying engagement levels and benefits. Originality / value / implications / recommendations | This research contributes to the understanding of cluster dynamics in fostering technological advancements and offers evidence-based recommendations for enhancing digital transformation support within clusters. Insights are provided for cluster coordinators to tailor support initiatives for specific member groups, improving the effectiveness of I4.0 adoption.

Optimum Economic Studies(3(121))
Polska Agencja Rozwoju Przedsiębiorczości
Openalex Percentile: Top 54%
Digital Transformation in Industry
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.

I4.0 and 4xe – Industry 4.0 and Cluster Policy: Exploitation, Effectiveness, Evaluation, and Expectations — Marta Maćkiewicz, Marta Götz · Optimum Economic Studies (2025) | TGRS Research Map | TGRS