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Paper Type
Complete
Description
Maturity models are essential tools to evaluate Industry 4.0 readiness. However, they have limitations in supporting organizational strategies over time and are insufficient to create company-specific Industry 4.0 roadmaps. This paper presents a research project to steer Industry 4.0 transformation in a leading paper pulp company listed on the Euronext Lisbon stock exchange. The contribution to the body of knowledge is a novel approach for Industry 4.0 adoption that extends the Balanced Scorecard with a fifth perspective and exposes the value of maturity model fragments: fractions of maturity models pertinent to a custom strategy. The proposed solution can support continuous improvement in long-term digital transformation strategies. Moreover, the lifecycle of maturity model fragments, namely, (1) dimensions and criteria elicitation, (2) personalization, and (3) strategic alignment, opens innovative prospects for maturity model design, tailorability, and practical relevance.
Paper Number
1645
Recommended Citation
Nolasco, Pedro; Barata, João; da Cunha, Paulo Rupino; and Coelho, Miguel, "Reconciling Strategy, Maturity, and Performance Measurement in Industry 4.0" (2023). AMCIS 2023 Proceedings. 7.
https://aisel.aisnet.org/amcis2023/sig_scuidt/sig_scuidt/7
Reconciling Strategy, Maturity, and Performance Measurement in Industry 4.0
Maturity models are essential tools to evaluate Industry 4.0 readiness. However, they have limitations in supporting organizational strategies over time and are insufficient to create company-specific Industry 4.0 roadmaps. This paper presents a research project to steer Industry 4.0 transformation in a leading paper pulp company listed on the Euronext Lisbon stock exchange. The contribution to the body of knowledge is a novel approach for Industry 4.0 adoption that extends the Balanced Scorecard with a fifth perspective and exposes the value of maturity model fragments: fractions of maturity models pertinent to a custom strategy. The proposed solution can support continuous improvement in long-term digital transformation strategies. Moreover, the lifecycle of maturity model fragments, namely, (1) dimensions and criteria elicitation, (2) personalization, and (3) strategic alignment, opens innovative prospects for maturity model design, tailorability, and practical relevance.
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