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ASSESSING THE MATURITY OF DIGITAL DECARBONIZATION IN THE MANUFACTURING SECTOR
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DOI：10.17270/J.LOG.001282.png)
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Abstract
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Background: Organizations face the challenge of making strategic decisions to build a carbon-neutral and competitive future through the adoption of digital technologies. This pressure arises from rapidly evolving global market conditions and the need to achieve required emission reductions. For a successful deployment of Industry 4.0 technologies to support decarbonization, it is crucial for organizations to assess their competencies and establish a clear path forward. Digital maturity models are effective frameworks for measuring an organization's digital capabilities, and several such models have been developed. However, existing models often overlook environmental dimensions, focusing primarily on profit-driven growth. To address this gap, a Digital Decarbonization Maturity Model has been developed. This paper aims to evaluate the model's effectiveness and applicability by assessing the current state of digital decarbonization within organizations and identifying opportunities for advancement, drawing on empirical insights from a focus group. Methods: The design science research approach is employed to test, verify, and validate the proposed Digital Decarbonization Maturity Model, treating it as an IT artefact. Design science research aims to generate practice-relevant knowledge about the design of artefacts such as constructs, models, or methods. The model is tested and validated using empirical insights from a focus group composed of industry actors from various manufacturing sectors. Results: The assessment of the proposed model produced several key findings across its dimensions. First, partnerships with diverse stakeholders were identified as a critical success factor. Additional findings highlight the importance of leveraging employee expertise, digital technologies, and business model innovation. Finally, the assessment also revealed several challenges associated with the use of digital technologies for decarbonization. Conclusions: The proposed model supports organizations in determining their current position in digital transformation and decarbonization, and in identifying targeted growth opportunities to advance their maturity. Progressing through these maturity stages can help organizations more effectively align digital initiatives with CO2 reduction goals. The findings indicate that pathways to decarbonization are diverse and can be adapted to support both short-term actions and long-term strategic objectives. Organizations can therefore prioritize initiatives according to their existing resources, capabilities, and progress to date, enabling them to develop a decarbonization trajectory that fits their specific context.
Keywords:
digital decarbonization
maturity model
manufacturing sector
case study
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