## 1 Introduction
In reality, services to meet the requirements of customers are basically complex services, which need to be completed by multiple enterprises or actors. Simultaneously, we also realize that customer requirement is the driving force of service, and customer value determines the value of service. Therefore, service is customer-oriented, and the creation of service value is a complex process. To describe value creation clearly at an activity level may help service actors to more easily understand and achieve their value goals. This paper focuses on value creation in the service process of multi-actor collaboration, in the cross-enterprise environment. We propose a method for building the service process value model (SPVM), which is used to describe how each actor in the service process exchanges and creates value, with activities as the carrier. In order to construct the service process value model, based on the materials and methods of services and service processes, process modeling and process mining, and service value networks, this paper defines the dimensions and granularity of value, and describes the value of activities and service process. Two ways of building a service process model based on process mining techniques are presented, and the value of the service process is annotated by combining domain knowledge. The service process value model shows the value input and output of each actor on the corresponding activities in the cross enterprise service process collaboration, and the dynamic changes in the service process in different situations to meet the needs of customers. This is helpful for enterprises to provide a better service experience for users. The originality of this contribution is in a new method of constructing the service process value model. Differently from the traditional modeling methods, using process mining techniques can build a service process value model faster and more accurately. Due to the existence of a large number of event logs in the information system, it is possible to cover all paths of the service process. Hereby, we work on an observed, and running, model, based on data that reflects the actual execution of processes. At the same time, considering the domain characteristics, the value information is extracted from real data and event logs, which makes the model more reliable. We improve the model to save time and money that would have been spent if working directly on the running of the service system. Moreover, to verify our idea, we developed a new plug-in for Prom to extract activity actors and value information from raw data and event logs, and support the construction of a service process value model. It shows the construction process of the model in the form of a visualization, which can help enterprises better understand the co-creation mechanism of service value, which is conducive to cross enterprise collaborative service value optimization. The rest of this paper is structured as follows: Section 2 provides the materials and methods used to produce the proposed paper. Section 3 presents the contribution to overcoming the above-mentioned issues. Then, a case study is presented to validate the approach. Finally, some discussions about limitations and future work are proposed in Section 4, and the conclusion is given in Section 5.