The impact of the dimensions of digital maturity in Industry 4.0 on the performance of industrial companies in Portugal’s Dão Lafões region

Purpose This study investigates the relationship between individual dimensions of digital maturity in the context of Industry 4.0 and financial and operational performance outcomes. Moving beyond aggregate maturity measures, the analysis adopts a dimensional perspective to capture the differentiated and potentially asymmetric performance effects of specific digital capabilities in industrial firms operating in a low-maturity regional context. Design/methodology/approach The empirical analysis is based on a cross-sectional sample of 140 industrial companies located in Portugal's Dão Lafões region. Digital maturity was measured using a structured questionnaire grounded in the IMPULS model, which covers six core dimensions. Financial and operational performance indicators were obtained from the SABI database. Robust multiple linear regression models were employed to assess the relationships between digital maturity dimensions, overall digital maturity level, firm size, and five performance indicators: Return on Assets, Internationalization, Indebtedness, Interest Rate and Productivity. Findings The results confirm a generally low level of digital maturity across the sample (mean = 1.13 on a 0–5 scale), alongside substantial heterogeneity among firms. Despite this low maturity context, several digital maturity dimensions exhibit statistically significant associations with performance. Positive effects are observed mainly for productivity and Return on Assets, while specific dimensions are associated with lower levels of indebtedness. However, these effects are neither uniform nor linear across performance indicators, revealing short-term trade-offs and asymmetric relationships. The impact on internationalization is heterogeneous and appears to be more pronounced among smaller firms. Practical implications For managers and policymakers operating in SME-dominated and less digitally mature regions, the results highlight the importance of prioritizing targeted digital capability development over broad, undifferentiated digital transformation strategies. Originality/value The findings demonstrate that digital maturity should not be interpreted as a homogeneous driver of firm performance. Instead, performance outcomes depend on the specific configuration of digital capabilities adopted by firms, as well as on organizational and contextual characteristics such as firm size.

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Publication Details

Journal
International Journal of Productivity and Performance Management
Published
2026-10-09
DOI
https://doi.org/10.1108/ijppm-02-2026-0170
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
8.69
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article

The impact of the dimensions of digital maturity in Industry 4.0 on the performance of industrial companies in Portugal’s Dão Lafões region

António J. Marques Cardoso, Pedro Manuel Nogueira Reis, André Martins Guimarães
2 citations
International Journal of Productivity and Performance Management
Digital Transformation in Industry
8.69
article

The impact of the dimensions of digital maturity in Industry 4.0 on the performance of industrial companies in Portugal’s Dão Lafões region

António J. Marques Cardoso, Pedro Manuel Nogueira Reis, André Martins Guimarães
article en
2 citations

Abstract

Purpose This study investigates the relationship between individual dimensions of digital maturity in the context of Industry 4.0 and financial and operational performance outcomes. Moving beyond aggregate maturity measures, the analysis adopts a dimensional perspective to capture the differentiated and potentially asymmetric performance effects of specific digital capabilities in industrial firms operating in a low-maturity regional context. Design/methodology/approach The empirical analysis is based on a cross-sectional sample of 140 industrial companies located in Portugal's Dão Lafões region. Digital maturity was measured using a structured questionnaire grounded in the IMPULS model, which covers six core dimensions. Financial and operational performance indicators were obtained from the SABI database. Robust multiple linear regression models were employed to assess the relationships between digital maturity dimensions, overall digital maturity level, firm size, and five performance indicators: Return on Assets, Internationalization, Indebtedness, Interest Rate and Productivity. Findings The results confirm a generally low level of digital maturity across the sample (mean = 1.13 on a 0–5 scale), alongside substantial heterogeneity among firms. Despite this low maturity context, several digital maturity dimensions exhibit statistically significant associations with performance. Positive effects are observed mainly for productivity and Return on Assets, while specific dimensions are associated with lower levels of indebtedness. However, these effects are neither uniform nor linear across performance indicators, revealing short-term trade-offs and asymmetric relationships. The impact on internationalization is heterogeneous and appears to be more pronounced among smaller firms. Practical implications For managers and policymakers operating in SME-dominated and less digitally mature regions, the results highlight the importance of prioritizing targeted digital capability development over broad, undifferentiated digital transformation strategies. Originality/value The findings demonstrate that digital maturity should not be interpreted as a homogeneous driver of firm performance. Instead, performance outcomes depend on the specific configuration of digital capabilities adopted by firms, as well as on organizational and contextual characteristics such as firm size.

International Journal of Productivity and Performance Management
University of Beira Interior (PT), Polytechnic Institute of Viseu (PT)
Openalex Percentile: Top 2%
Digital Transformation in Industry
8.69
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