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A situational approach to Industry 4.0 maturity assessment : supporting strategic decision-making in top management teams
ID
Vavpotič, Damjan
(
Author
),
ID
Fujs, Damjan
(
Author
),
ID
Hovelja, Tomaž
(
Author
)
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https://www.emerald.com/k/article/55/13/18/1339709/A-situational-approach-to-Industry-4-0-maturity
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Abstract
Purpose – This study aims to address the limitations of current Industry 4.0 evaluation approaches, which often rely on a one-size-fits-all philosophy. It introduces a novel situational evaluation method tailored to the unique contexts of organizations, with a focus on aligning Industry 4.0 initiatives with strategic goals. Design/methodology/approach – A case study methodology was employed involving a large multinational company with over 30 subsidiaries in 14 countries across Europe and Asia. The company operates in three core EU industries: automotive, electric power transformers, and construction. The study involved the entire top management team (TMT) in order to comprehensively assess the effectiveness of the proposed evaluation approach. Findings – The results demonstrate that the TMT highly valued the customized nature of the situational evaluation approach. The proposed Industry 4.0 evaluation approach significantly improved the alignment of the organization’s strategic objectives between TMT members. Originality/value – The study provides a novel approach to Industry 4.0 evaluation that starts with selecting and structuring digital maturity dimensions according to the needs, context, and characteristics of a specific enterprise; continues with evaluations of individual TMT use and completes with group discussion to achieve final strategic alignment and address common challenges in Industry 4.0 adoption (TMT alignment, workforce readiness, and technology integration). Keywords Industry 4.0, Manufacturing strategy, Type of firm – multinational companies, Type of manufacturing process – continuous process,Data collection method – case study (including grounded theory, iterative-pragmatic, and deductive approaches), Data collection method – survey (in-person interviews and written questionnaires) Paper type Research article
Language:
English
Keywords:
Industry 4.0
,
manufacturing strategy
,
multinational companies
,
continuous process
,
case study
,
business management
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
Publication version:
Version of Record
Year:
2026
Number of pages:
Str. 18-38
Numbering:
Vol. 55, iss. 13
PID:
20.500.12556/RUL-179340
UDC:
659.2:004
ISSN on article:
0368-492X
DOI:
10.1108/K-06-2025-1518
COBISS.SI-ID:
267751171
Publication date in RUL:
11.02.2026
Views:
55
Downloads:
5
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Record is a part of a journal
Title:
Kybernetes
Shortened title:
Kybernetes
Publisher:
MCB university press
ISSN:
0368-492X
COBISS.SI-ID:
28709889
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
Industrija 4.0
,
proizvodna strategija
,
multinacionalna podjetja
,
neprekinjen proces
,
študija primera
,
poslovni menedžment
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0426-2022
Name:
Digitalna preobrazba za pametno javno upravljanje
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