Publikacja:

Industry 4.0 maturity assessment in manufacturing enterprises: a mixed-methods approach for SMEs

Data

2025
Artykuł
 
cris.virtual.journalance#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.journalancedc92c553-0411-4522-97d5-b7ef33169392
dc.abstract.enPurpose – Thisstudy aimsto evaluate the adequacy of existing I4.0 maturity modelsin small and medium-sized enterprises (SMEs) located in an under-industrialized region and comprehensively assess the extent to which these scales reflect the specific conditions of SMEs using a mixed-methods approach. Design/methodology/approach – This study involved a two-step process using both quantitative and qualitative methods. Initially, we applied the nine-dimensional I4.0 maturity evaluation model developed by Schumacher, Erol, and Sihn (2016) to 21 manufacturing enterprises in the developing Bartin Organized Industrial Zone in T€urkiye to determine their I4.0 maturity levels. Subsequently, thematic analysis of semi structured interview data from these enterprises was conducted using MaxQDA, aligning themes with scale dimensions. This revealed variances and alignments in maturity scores across dimensions. Findings – It was observed that the participants gave more appropriate answers to the content and scope of the relevant dimension in the dimensions where they got high scores. In addition to the participants’ focus on technology for I4.0, it was observed that they perceived this process only in terms of production and operational efficiency increase, and their expectations for organizational structures or enterprise processes were limited. Originality/value – This study addresses the gap in the literature regarding the applicability of existing quantitative I4.0 maturity models to SMEs in under-industrialized regions. By combining quantitative and qualitative methods, this research highlights the need for qualitative research alongside quantitative methods in measuring the I4.0 maturity of SMEs. This novel approach demonstrates how qualitative methods can enrich the understanding of I4.0 perceptions, overcoming the limitations of standardized scales.
dc.abstract.plPurpose – Thisstudy aimsto evaluate the adequacy of existing I4.0 maturity modelsin small and medium-sized enterprises (SMEs) located in an under-industrialized region and comprehensively assess the extent to which these scales reflect the specific conditions of SMEs using a mixed-methods approach. Design/methodology/approach – This study involved a two-step process using both quantitative and qualitative methods. Initially, we applied the nine-dimensional I4.0 maturity evaluation model developed by Schumacher, Erol, and Sihn (2016) to 21 manufacturing enterprises in the developing Bartin Organized Industrial Zone in T€urkiye to determine their I4.0 maturity levels. Subsequently, thematic analysis of semi structured interview data from these enterprises was conducted using MaxQDA, aligning themes with scale dimensions. This revealed variances and alignments in maturity scores across dimensions. Findings – It was observed that the participants gave more appropriate answers to the content and scope of the relevant dimension in the dimensions where they got high scores. In addition to the participants’ focus on technology for I4.0, it was observed that they perceived this process only in terms of production and operational efficiency increase, and their expectations for organizational structures or enterprise processes were limited. Originality/value – This study addresses the gap in the literature regarding the applicability of existing quantitative I4.0 maturity models to SMEs in under-industrialized regions. By combining quantitative and qualitative methods, this research highlights the need for qualitative research alongside quantitative methods in measuring the I4.0 maturity of SMEs. This novel approach demonstrates how qualitative methods can enrich the understanding of I4.0 perceptions, overcoming the limitations of standardized scales.
dc.contributor.authorCihangir Kasapoğlu
dc.contributor.authorHasan Yavuz
dc.contributor.authorNazlıcan Dindarik
dc.contributor.authorAhmet Öztel
dc.date.accessioned2025-11-20T11:12:06Z
dc.date.available2025-11-20T11:12:06Z
dc.date.issued2025
dc.description.abstractPurpose This study aims to evaluate the adequacy of existing I4.0 maturity models in small and medium-sized enterprises (SMEs) located in an under-industrialized region and comprehensively assess the extent to which these scales reflect the specific conditions of SMEs using a mixed-methods approach. Design/methodology/approach This study involved a two-step process using both quantitative and qualitative methods. Initially, we applied the nine-dimensional I4.0 maturity evaluation model developed by Schumacher, Erol, and Sihn (2016) to 21 manufacturing enterprises in the developing Bartin Organized Industrial Zone in Türkiye to determine their I4.0 maturity levels. Subsequently, thematic analysis of semi-structured interview data from these enterprises was conducted using MaxQDA, aligning themes with scale dimensions. This revealed variances and alignments in maturity scores across dimensions. Findings It was observed that the participants gave more appropriate answers to the content and scope of the relevant dimension in the dimensions where they got high scores. In addition to the participants’ focus on technology for I4.0, it was observed that they perceived this process only in terms of production and operational efficiency increase, and their expectations for organizational structures or enterprise processes were limited. Originality/value This study addresses the gap in the literature regarding the applicability of existing quantitative I4.0 maturity models to SMEs in under-industrialized regions. By combining quantitative and qualitative methods, this research highlights the need for qualitative research alongside quantitative methods in measuring the I4.0 maturity of SMEs. This novel approach demonstrates how qualitative methods can enrich the understanding of I4.0 perceptions, overcoming the limitations of standardized scales.
dc.description.issue4
dc.description.versionVoR
dc.description.volume33
dc.identifier.affiliationBartin University, Bartin, Turkiye
dc.identifier.affiliationBartin University, Bartin, Turkiye
dc.identifier.affiliationBartin University, Bartin, Turkiye
dc.identifier.affiliationBartin University, Bartin, Turkiye
dc.identifier.doi10.1108/CEMJ-12-2023-0451
dc.identifier.eissn2658-2430
dc.identifier.issn2658-0845
dc.identifier.orcid0000-0002-7664-5927
dc.identifier.orcid0000-0002-3541-2270
dc.identifier.orcid0000-0003-4313-6576
dc.identifier.orcid0000-0002-9627-7850
dc.identifier.urihttps://repozytorium.kozminski.edu.pl/handle/item/3796
dc.languageen
dc.pbn.affiliationmanagement and quality studies
dc.publisherKozminski University
dc.relation.ispartofCentral European Management Journal
dc.relation.issn2658-0845
dc.relation.issn2658-2430
dc.relation.pages590–617
dc.rightsCC-BY-4.0
dc.subject.enMaturity model
dc.subject.enIndustry 4.0
dc.subject.enManufacturing enterprises
dc.subject.enMaxQDA
dc.subject.plMaturity model
dc.subject.plIndustry 4.0
dc.subject.plManufacturing enterprises
dc.subject.plMaxQDA
dc.subtypeOriginal
dc.title

Industry 4.0 maturity assessment in manufacturing enterprises: a mixed-methods approach for SMEs

dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue4
oaire.citation.volume33