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This study aims to develop a systematic method called servitization maturity model to support companies in developing distinctive capabilities for successful servitization.

The concept of maturity models is adopted to support companies in developing distinctive capabilities for servitization. A systematic literature review and case study approach are employed to develop the maturity model.

The findings highlight 46 capabilities classified into seven categories: strategy and leadership, performance, offerings, customers, organization, network and digital technology. Furthermore, the evolutionary path is defined by combining two types of levels, i.e. capability and maturity levels, to develop these capabilities.

The evolutionary path was partially validated through the application, while further investigation is required to validate the evolutionary path. Therefore, future research should investigate the further validation of the evolutionary path by conducting multiple case studies.

The proposed maturity model enables companies to not only capture the bigger picture of the required capabilities without oversight, but also determine a process for improving the requisite capabilities with feasible efforts.

Existing maturity models focused on the transition from less to more advanced services. However, recent studies emphasized that companies need to determine strategies that reflect their capabilities rather than simply move toward more advanced services. Based on this assumption, this study provides successive stages that enable companies to improve their capabilities through feasible efforts.

Combined offerings of products and services, that is, a product‐service system (PSS), have been attracting much attention. Consequently, a good design methodology of services as well as that of manufacturing products is needed. The purpose of this paper, is to propose a method for estimating customer satisfaction that enables designers to compare design solutions in the conceptual stage.

In the proposed method, first, the models that represent PSS features with relation to a customer's state is adopted. Then, the authors propose the estimation procedure that utilises a non‐linear value function called the satisfaction‐attribute (S‐A) function to quantify customer satisfaction.

The proposed method centres on the estimation of customer satisfaction. It enables the designers to evaluate design candidates in the conceptual stage where little information is available, and therefore supports iterative improvements without the designer needing to hesitate under the weight of market analysis.

In this paper, the estimation is limited to a single transaction with a customer, rather than cumulative satisfaction that represents a customer's imprints about the provider accumulated by repeating purchases. In future, therefore, the authors need to integrate the concept of effects over time such as loyalty and defection into the proposed framework.

In the application, the proposed method is statistically proven to effectively illustrate customer satisfaction.

This paper proposes the estimation method of customer satisfaction for PSS design. The proposed method allows designers to choose a design solution from the customer viewpoints.